Split (1)

train · 143k rows

system stringclasses 7 values	input stringlengths 10 94.5k	output stringlengths 14 55.5k
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <iostream> #include <stdlib.h> #include <string> #include <vector> #include <sstream> #include <cuda.h> #include <iterator> using namespace std; __global__ void multiply(int A, int B, int C, int N) { int idx = blockDim.x blockIdx.x + threadIdx.x; int i = idx / N, j = idx % N; int sum = 0; for (int k = 0; k < N; k++) { sum += A[i * N + k] * B[k * N + j]; } C[idx] = sum; } int main() { string line; int N = -1; int A, B, C, cur; int count = 0; while(getline(cin, line)) { if (N == -1) { N = atoi(line.c_str()); A = new int[N * N]; B = new int[N * N]; C = new int[N * N]; cur = A; } else { vector<string> nums; istringstream iss(line); copy(istream_iterator<string>(iss), istream_iterator<string>(), back_inserter(nums)); for (int i = 0; i < nums.size(); i++) { cur[count * N + i] = atoi(nums[i].c_str()); } count++; if (count == N) { count = 0; cur = B; } } } int dA, dB, dC; cudaMalloc(&dA, sizeof(int) N * N); cudaMalloc(&dB, sizeof(int) * N * N); cudaMalloc(&dC, sizeof(int) * N * N); cudaMemcpy(dA, A, sizeof(int) * N * N, cudaMemcpyHostToDevice); cudaMemcpy(dB, B, sizeof(int) * N * N, cudaMemcpyHostToDevice); cudaMemcpy(dC, C, sizeof(int) * N * N, cudaMemcpyHostToDevice); dim3 blockDim(64, 1, 1); dim3 gridDim(N * N / blockDim.x, 1, 1); multiply<<<gridDim, blockDim>>>(dA, dB, dC, N); cudaMemcpy(dA, A, sizeof(int) * N * N, cudaMemcpyDeviceToHost); cudaMemcpy(dB, B, sizeof(int) * N * N, cudaMemcpyDeviceToHost); cudaMemcpy(dC, C, sizeof(int) * N * N, cudaMemcpyDeviceToHost); return 0; }	.file "tmpxft_000c3fab_00000000-6_matrix.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB4126: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE4126: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i .type _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i, @function _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i: .LFB4148: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movl %ecx, 4(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z8multiplyPiS_S_i(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE4148: .size _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i, .-_Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i .globl _Z8multiplyPiS_S_i .type _Z8multiplyPiS_S_i, @function _Z8multiplyPiS_S_i: .LFB4149: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE4149: .size _Z8multiplyPiS_S_i, .-_Z8multiplyPiS_S_i .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z8multiplyPiS_S_i" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB4151: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z8multiplyPiS_S_i(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE4151: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag,"axG",@progbits,_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag,comdat .align 2 .weak _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .type _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag, @function _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag: .LFB4704: .cfi_startproc endbr64 pushq %r12 .cfi_def_cfa_offset 16 .cfi_offset 12, -16 pushq %rbp .cfi_def_cfa_offset 24 .cfi_offset 6, -24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset 3, -32 subq $16, %rsp .cfi_def_cfa_offset 48 movq %rdi, %rbx movq %rsi, %r12 movq %fs:40, %rax movq %rax, 8(%rsp) xorl %eax, %eax subq %rsi, %rdx movq %rdx, %rbp movq %rdx, (%rsp) cmpq $15, %rdx ja .L20 movq (%rdi), %rdi cmpq $1, %rdx jne .L16 movzbl (%rsi), %eax movb %al, (%rdi) .L17: movq (%rsp), %rax movq %rax, 8(%rbx) movq (%rbx), %rdx movb $0, (%rdx,%rax) movq 8(%rsp), %rax subq %fs:40, %rax jne .L21 addq $16, %rsp .cfi_remember_state .cfi_def_cfa_offset 32 popq %rbx .cfi_def_cfa_offset 24 popq %rbp .cfi_def_cfa_offset 16 popq %r12 .cfi_def_cfa_offset 8 ret .L20: .cfi_restore_state movq %rsp, %rsi movl $0, %edx call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm@PLT movq %rax, %rdi movq %rax, (%rbx) movq (%rsp), %rax movq %rax, 16(%rbx) .L15: movq %rbp, %rdx movq %r12, %rsi call memcpy@PLT jmp .L17 .L16: testq %rdx, %rdx je .L17 jmp .L15 .L21: call __stack_chk_fail@PLT .cfi_endproc .LFE4704: .size _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag, .-_ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .section .rodata._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_.str1.1,"aMS",@progbits,1 .LC1: .string "vector::_M_realloc_insert" .section .text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,"axG",@progbits,_ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,comdat .align 2 .weak _ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_ .type _ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_, @function _ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_: .LFB4898: .cfi_startproc .cfi_personality 0x9b,DW.ref.__gxx_personality_v0 .cfi_lsda 0x1b,.LLSDA4898 endbr64 pushq %r15 .cfi_def_cfa_offset 16 .cfi_offset 15, -16 pushq %r14 .cfi_def_cfa_offset 24 .cfi_offset 14, -24 pushq %r13 .cfi_def_cfa_offset 32 .cfi_offset 13, -32 pushq %r12 .cfi_def_cfa_offset 40 .cfi_offset 12, -40 pushq %rbp .cfi_def_cfa_offset 48 .cfi_offset 6, -48 pushq %rbx .cfi_def_cfa_offset 56 .cfi_offset 3, -56 subq $24, %rsp .cfi_def_cfa_offset 80 movq %rdx, 8(%rsp) movq 8(%rdi), %r13 movq (%rdi), %rbp movq %r13, %rax subq %rbp, %rax sarq $5, %rax movabsq $288230376151711743, %rdx cmpq %rdx, %rax je .L64 movq %rdi, %r12 movq %rsi, %rbx cmpq %rbp, %r13 movl $1, %edx cmovne %rax, %rdx addq %rdx, %rax jc .L25 movabsq $288230376151711743, %rdx cmpq %rdx, %rax cmovbe %rax, %rdx movq %rdx, (%rsp) movq %rsi, %r14 subq %rbp, %r14 movl $0, %r15d testq %rax, %rax je .L26 jmp .L52 .L64: leaq .LC1(%rip), %rdi .LEHB0: call _ZSt20__throw_length_errorPKc@PLT .LEHE0: .L71: cmpq %rbp, %rbx je .L55 leaq 16(%rbp), %rax leaq 16(%rbx), %r8 movq %r15, %rdx jmp .L36 .L67: movq -8(%rcx), %r11 leaq 1(%r11), %r9 cmpl $8, %r9d jnb .L29 testb $4, %r9b jne .L65 testl %r9d, %r9d je .L35 movzbl (%rcx), %r10d movb %r10b, (%rsi) testb $2, %r9b je .L35 movl %r9d, %r9d movzwl -2(%rcx,%r9), %ecx movw %cx, -2(%rsi,%r9) jmp .L35 .L65: movl (%rcx), %r10d movl %r10d, (%rsi) movl %r9d, %r9d movl -4(%rcx,%r9), %ecx movl %ecx, -4(%rsi,%r9) jmp .L35 .L29: movq (%rcx), %r10 movq %r10, (%rsi) movl %r9d, %r10d movq -8(%rcx,%r10), %r11 movq %r11, -8(%rsi,%r10) leaq 8(%rsi), %r10 andq $-8, %r10 subq %r10, %rsi subq %rsi, %rcx addl %esi, %r9d andl $-8, %r9d cmpl $8, %r9d jb .L35 andl $-8, %r9d movl $0, %esi .L33: movl %esi, %r11d movq (%rcx,%r11), %r14 movq %r14, (%r10,%r11) addl $8, %esi cmpl %r9d, %esi jb .L33 .L35: movq -8(%rdi), %rcx movq %rcx, 8(%rdx) addq $32, %rdx addq $32, %rax cmpq %rax, %r8 je .L66 .L36: leaq 16(%rdx), %rsi movq %rsi, (%rdx) movq %rax, %rdi movq -16(%rax), %rcx cmpq %rcx, %rax je .L67 movq %rcx, (%rdx) movq (%rax), %rcx movq %rcx, 16(%rdx) jmp .L35 .L66: movq %rbx, %r14 subq %rbp, %r14 addq %r15, %r14 .L27: addq $32, %r14 cmpq %r13, %rbx je .L37 leaq 16(%rbx), %rax leaq 16(%r13), %rdi movq %r14, %rdx jmp .L46 .L55: movq %r15, %r14 jmp .L27 .L70: movq -8(%rax), %rsi addq $1, %rsi movq %rax, %r11 cmpl $8, %esi jnb .L39 testb $4, %sil jne .L68 testl %esi, %esi je .L45 movzbl (%rax), %r9d movb %r9b, (%r8) testb $2, %sil je .L45 movl %esi, %esi movzwl -2(%rax,%rsi), %r9d movw %r9w, -2(%r8,%rsi) jmp .L45 .L68: movl (%rax), %r9d movl %r9d, (%r8) movl %esi, %esi movl -4(%rax,%rsi), %r9d movl %r9d, -4(%r8,%rsi) jmp .L45 .L39: movq (%rax), %r9 movq %r9, (%r8) movl %esi, %r9d movq -8(%rax,%r9), %r10 movq %r10, -8(%r8,%r9) leaq 8(%r8), %r10 andq $-8, %r10 subq %r10, %r8 subq %r8, %r11 addl %r8d, %esi andl $-8, %esi cmpl $8, %esi jb .L45 andl $-8, %esi movl $0, %r8d movq %rax, 8(%rsp) .L43: movl %r8d, %r9d movq (%r11,%r9), %rax movq %rax, (%r10,%r9) addl $8, %r8d cmpl %esi, %r8d jb .L43 movq 8(%rsp), %rax .L45: movq -8(%rcx), %rcx movq %rcx, 8(%rdx) addq $32, %rdx addq $32, %rax cmpq %rdi, %rax je .L69 .L46: leaq 16(%rdx), %r8 movq %r8, (%rdx) movq %rax, %rcx movq -16(%rax), %rsi cmpq %rax, %rsi je .L70 movq %rsi, (%rdx) movq (%rax), %rsi movq %rsi, 16(%rdx) jmp .L45 .L69: subq %rbx, %r13 addq %r13, %r14 .L37: testq %rbp, %rbp je .L47 movq 16(%r12), %rsi subq %rbp, %rsi movq %rbp, %rdi call _ZdlPvm@PLT .L47: movq %r15, (%r12) movq %r14, 8(%r12) movq (%rsp), %rax salq $5, %rax addq %r15, %rax movq %rax, 16(%r12) addq $24, %rsp .cfi_remember_state .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %rbp .cfi_def_cfa_offset 40 popq %r12 .cfi_def_cfa_offset 32 popq %r13 .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 ret .L56: .cfi_restore_state endbr64 movq %rax, %rdi call __cxa_begin_catch@PLT testq %r15, %r15 jne .L49 movq %r14, %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L50: .LEHB1: call __cxa_rethrow@PLT .LEHE1: .L57: endbr64 movq %rax, %rbx call __cxa_end_catch@PLT movq %rbx, %rdi .LEHB2: call _Unwind_Resume@PLT .L49: movq (%rsp), %rsi salq $5, %rsi movq %r15, %rdi call _ZdlPvm@PLT jmp .L50 .L25: movq %rsi, %r14 subq %rbp, %r14 movabsq $288230376151711743, %rax movq %rax, (%rsp) .L52: movq (%rsp), %rdi salq $5, %rdi call _Znwm@PLT .LEHE2: movq %rax, %r15 .L26: addq %r15, %r14 leaq 16(%r14), %rax movq %rax, (%r14) movq 8(%rsp), %rax movq (%rax), %rsi movq %rsi, %rdx addq 8(%rax), %rdx movq %r14, %rdi .LEHB3: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE3: jmp .L71 .cfi_endproc .LFE4898: .globl __gxx_personality_v0 .section .gcc_except_table._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,"aG",@progbits,_ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,comdat .align 4 .LLSDA4898: .byte 0xff .byte 0x9b .uleb128 .LLSDATT4898-.LLSDATTD4898 .LLSDATTD4898: .byte 0x1 .uleb128 .LLSDACSE4898-.LLSDACSB4898 .LLSDACSB4898: .uleb128 .LEHB0-.LFB4898 .uleb128 .LEHE0-.LEHB0 .uleb128 0 .uleb128 0 .uleb128 .LEHB1-.LFB4898 .uleb128 .LEHE1-.LEHB1 .uleb128 .L57-.LFB4898 .uleb128 0 .uleb128 .LEHB2-.LFB4898 .uleb128 .LEHE2-.LEHB2 .uleb128 0 .uleb128 0 .uleb128 .LEHB3-.LFB4898 .uleb128 .LEHE3-.LEHB3 .uleb128 .L56-.LFB4898 .uleb128 0x1 .LLSDACSE4898: .byte 0x1 .byte 0 .align 4 .long 0 .LLSDATT4898: .section .text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,"axG",@progbits,_ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_,comdat .size _ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_, .-_ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_ .section .text._ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,"axG",@progbits,_ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,comdat .weak _ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_ .type _ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_, @function _ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_: .LFB4674: .cfi_startproc .cfi_personality 0x9b,DW.ref.__gxx_personality_v0 .cfi_lsda 0x1b,.LLSDA4674 endbr64 pushq %r12 .cfi_def_cfa_offset 16 .cfi_offset 12, -16 pushq %rbp .cfi_def_cfa_offset 24 .cfi_offset 6, -24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset 3, -32 subq $400, %rsp .cfi_def_cfa_offset 432 movq %rdi, %rbp movq %rsi, %r12 movq %rdx, %rbx movq %fs:40, %rax movq %rax, 392(%rsp) xorl %eax, %eax movq (%rsi), %rax movq %rax, 96(%rsp) leaq 120(%rsp), %rax movq %rax, 104(%rsp) movq 8(%rsi), %rsi movq %rsi, %rdx addq 16(%r12), %rdx leaq 104(%rsp), %rdi .LEHB4: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE4: movzbl 40(%r12), %eax movb %al, 136(%rsp) movq 96(%rsp), %rax movq %rax, 144(%rsp) leaq 168(%rsp), %rax movq %rax, 152(%rsp) movq 104(%rsp), %rsi movq %rsi, %rdx addq 112(%rsp), %rdx leaq 152(%rsp), %rdi .LEHB5: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE5: movzbl 136(%rsp), %eax movb %al, 184(%rsp) movq 0(%rbp), %rax movq %rax, (%rsp) leaq 24(%rsp), %rax movq %rax, 8(%rsp) movq 8(%rbp), %rsi movq %rsi, %rdx addq 16(%rbp), %rdx leaq 8(%rsp), %rdi .LEHB6: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE6: movzbl 40(%rbp), %eax movb %al, 40(%rsp) movq (%rsp), %rax movq %rax, 48(%rsp) leaq 72(%rsp), %rax movq %rax, 56(%rsp) movq 8(%rsp), %rsi movq %rsi, %rdx addq 16(%rsp), %rdx leaq 56(%rsp), %rdi .LEHB7: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE7: movzbl 40(%rsp), %eax movb %al, 88(%rsp) movq 144(%rsp), %rax movq %rax, 240(%rsp) leaq 264(%rsp), %rax movq %rax, 248(%rsp) movq 152(%rsp), %rsi movq %rsi, %rdx addq 160(%rsp), %rdx leaq 248(%rsp), %rdi .LEHB8: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE8: movzbl 184(%rsp), %eax movb %al, 280(%rsp) movq 48(%rsp), %rax movq %rax, 192(%rsp) leaq 216(%rsp), %rax movq %rax, 200(%rsp) movq 56(%rsp), %rsi movq %rsi, %rdx addq 64(%rsp), %rdx leaq 200(%rsp), %rdi .LEHB9: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE9: movzbl 88(%rsp), %eax movb %al, 232(%rsp) movq 240(%rsp), %rax movq %rax, 336(%rsp) leaq 360(%rsp), %rax movq %rax, 344(%rsp) movq 248(%rsp), %rsi movq %rsi, %rdx addq 256(%rsp), %rdx leaq 344(%rsp), %rdi .LEHB10: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE10: movzbl 280(%rsp), %eax movb %al, 376(%rsp) movq 192(%rsp), %rax movq %rax, 288(%rsp) leaq 312(%rsp), %rax movq %rax, 296(%rsp) movq 200(%rsp), %rsi movq %rsi, %rdx addq 208(%rsp), %rdx leaq 296(%rsp), %rdi .LEHB11: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE11: movzbl 232(%rsp), %eax movb %al, 328(%rsp) leaq 296(%rsp), %rbp .L77: movzbl 328(%rsp), %eax cmpb 376(%rsp), %al je .L114 .L73: movq 8(%rbx), %rdi cmpq 16(%rbx), %rdi je .L75 leaq 16(%rdi), %rax movq %rax, (%rdi) movq 296(%rsp), %rsi movq %rsi, %rdx addq 304(%rsp), %rdx .LEHB12: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag jmp .L115 .L114: testb %al, %al je .L74 movq 336(%rsp), %rax cmpq %rax, 288(%rsp) jne .L73 .L74: movq 296(%rsp), %rdi leaq 312(%rsp), %rax cmpq %rax, %rdi je .L80 movq 312(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L80: movq 344(%rsp), %rdi leaq 360(%rsp), %rax cmpq %rax, %rdi je .L81 movq 360(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L81: movq 200(%rsp), %rdi leaq 216(%rsp), %rax cmpq %rax, %rdi je .L82 movq 216(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L82: movq 248(%rsp), %rdi leaq 264(%rsp), %rax cmpq %rax, %rdi je .L87 movq 264(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L87: movq 56(%rsp), %rdi leaq 72(%rsp), %rax cmpq %rax, %rdi je .L88 movq 72(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L88: movq 8(%rsp), %rdi leaq 24(%rsp), %rax cmpq %rax, %rdi je .L92 movq 24(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L92: movq 152(%rsp), %rdi leaq 168(%rsp), %rax cmpq %rax, %rdi je .L93 movq 168(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L93: movq 104(%rsp), %rdi leaq 120(%rsp), %rax cmpq %rax, %rdi je .L94 movq 120(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L94: movq 392(%rsp), %rax subq %fs:40, %rax jne .L116 movq %rbx, %rax addq $400, %rsp .cfi_remember_state .cfi_def_cfa_offset 32 popq %rbx .cfi_def_cfa_offset 24 popq %rbp .cfi_def_cfa_offset 16 popq %r12 .cfi_def_cfa_offset 8 ret .L115: .cfi_restore_state addq $32, 8(%rbx) .L76: movq 288(%rsp), %rdi testq %rdi, %rdi je .L77 movq %rbp, %rsi call _ZStrsIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EE@PLT jmp .L117 .L75: movq %rbp, %rdx movq %rdi, %rsi movq %rbx, %rdi call _ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE17_M_realloc_insertIJRKS5_EEEvN9__gnu_cxx17__normal_iteratorIPS5_S7_EEDpOT_ .LEHE12: jmp .L76 .L117: movq (%rax), %rdx movq -24(%rdx), %rdx testb $5, 32(%rax,%rdx) je .L77 movq $0, 288(%rsp) movb $0, 328(%rsp) jmp .L77 .L107: endbr64 movq %rax, %rbx leaq 296(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L85: leaq 344(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L86: leaq 200(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L90: leaq 248(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L91: leaq 56(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L95: leaq 8(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L96: leaq 152(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L97: leaq 104(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT movq 392(%rsp), %rax subq %fs:40, %rax je .L98 call __stack_chk_fail@PLT .L106: endbr64 movq %rax, %rbx jmp .L85 .L105: endbr64 movq %rax, %rbx jmp .L86 .L104: endbr64 movq %rax, %rbx jmp .L90 .L103: endbr64 movq %rax, %rbx jmp .L91 .L102: endbr64 movq %rax, %rbx jmp .L95 .L101: endbr64 movq %rax, %rbx jmp .L96 .L100: endbr64 movq %rax, %rbx jmp .L97 .L98: movq %rbx, %rdi .LEHB13: call _Unwind_Resume@PLT .LEHE13: .L116: call __stack_chk_fail@PLT .cfi_endproc .LFE4674: .section .gcc_except_table._ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,"aG",@progbits,_ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,comdat .LLSDA4674: .byte 0xff .byte 0xff .byte 0x1 .uleb128 .LLSDACSE4674-.LLSDACSB4674 .LLSDACSB4674: .uleb128 .LEHB4-.LFB4674 .uleb128 .LEHE4-.LEHB4 .uleb128 0 .uleb128 0 .uleb128 .LEHB5-.LFB4674 .uleb128 .LEHE5-.LEHB5 .uleb128 .L100-.LFB4674 .uleb128 0 .uleb128 .LEHB6-.LFB4674 .uleb128 .LEHE6-.LEHB6 .uleb128 .L101-.LFB4674 .uleb128 0 .uleb128 .LEHB7-.LFB4674 .uleb128 .LEHE7-.LEHB7 .uleb128 .L102-.LFB4674 .uleb128 0 .uleb128 .LEHB8-.LFB4674 .uleb128 .LEHE8-.LEHB8 .uleb128 .L103-.LFB4674 .uleb128 0 .uleb128 .LEHB9-.LFB4674 .uleb128 .LEHE9-.LEHB9 .uleb128 .L104-.LFB4674 .uleb128 0 .uleb128 .LEHB10-.LFB4674 .uleb128 .LEHE10-.LEHB10 .uleb128 .L105-.LFB4674 .uleb128 0 .uleb128 .LEHB11-.LFB4674 .uleb128 .LEHE11-.LEHB11 .uleb128 .L106-.LFB4674 .uleb128 0 .uleb128 .LEHB12-.LFB4674 .uleb128 .LEHE12-.LEHB12 .uleb128 .L107-.LFB4674 .uleb128 0 .uleb128 .LEHB13-.LFB4674 .uleb128 .LEHE13-.LEHB13 .uleb128 0 .uleb128 0 .LLSDACSE4674: .section .text._ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,"axG",@progbits,_ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_,comdat .size _ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_, .-_ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_ .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC2: .string "basic_string: construction from null is not valid" .text .globl main .type main, @function main: .LFB4108: .cfi_startproc .cfi_personality 0x9b,DW.ref.__gxx_personality_v0 .cfi_lsda 0x1b,.LLSDA4108 endbr64 pushq %r15 .cfi_def_cfa_offset 16 .cfi_offset 15, -16 pushq %r14 .cfi_def_cfa_offset 24 .cfi_offset 14, -24 pushq %r13 .cfi_def_cfa_offset 32 .cfi_offset 13, -32 pushq %r12 .cfi_def_cfa_offset 40 .cfi_offset 12, -40 pushq %rbp .cfi_def_cfa_offset 48 .cfi_offset 6, -48 pushq %rbx .cfi_def_cfa_offset 56 .cfi_offset 3, -56 subq $856, %rsp .cfi_def_cfa_offset 912 movq %fs:40, %rax movq %rax, 840(%rsp) xorl %eax, %eax leaq 144(%rsp), %rax movq %rax, 128(%rsp) movq $0, 136(%rsp) movb $0, 144(%rsp) movq _ZSt3cin(%rip), %rax movq -24(%rax), %rax leaq _ZSt3cin(%rip), %rdx movq 240(%rdx,%rax), %rbx testq %rbx, %rbx je .L119 movl $0, %r15d movl $-1, %r13d movq %rdx, %r12 jmp .L120 .L207: movq %rax, %r14 movq %rax, 40(%rsp) movq %rbx, %rdi .LEHB14: call _Znam@PLT movq %rax, 24(%rsp) movq %rbx, %rdi call _Znam@PLT movq %rax, 32(%rsp) movq %r14, 16(%rsp) .L122: movq (%r12), %rax movq -24(%rax), %rax movq 240(%r12,%rax), %rbx testq %rbx, %rbx je .L119 .L120: cmpb $0, 56(%rbx) je .L163 movzbl 67(%rbx), %edx .L164: movsbl %dl, %edx leaq 128(%rsp), %rsi movq %r12, %rdi call _ZSt7getlineIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EES4_@PLT .LEHE14: jmp .L196 .L121: movq $0, 96(%rsp) movq $0, 104(%rsp) movq $0, 112(%rsp) leaq 448(%rsp), %rbx leaq 568(%rsp), %rdi call _ZNSt8ios_baseC2Ev@PLT leaq 16+_ZTVSt9basic_iosIcSt11char_traitsIcEE(%rip), %rax movq %rax, 568(%rsp) movq $0, 784(%rsp) movb $0, 792(%rsp) movb $0, 793(%rsp) movq $0, 800(%rsp) movq $0, 808(%rsp) movq $0, 816(%rsp) movq $0, 824(%rsp) movq 8+_ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %r14 movq %r14, 448(%rsp) movq -24(%r14), %rax movq 16+_ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %rcx movq %rcx, 448(%rsp,%rax) movq $0, 456(%rsp) movq 448(%rsp), %rax addq -24(%rax), %rbx movq %rbx, %rdi movl $0, %esi .LEHB15: call _ZNSt9basic_iosIcSt11char_traitsIcEE4initEPSt15basic_streambufIcS1_E@PLT .LEHE15: leaq 24+_ZTVNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %rax movq %rax, 448(%rsp) leaq 40(%rax), %rax movq %rax, 568(%rsp) leaq 16+_ZTVSt15basic_streambufIcSt11char_traitsIcEE(%rip), %rax movq %rax, 464(%rsp) movq $0, 472(%rsp) movq $0, 480(%rsp) movq $0, 488(%rsp) movq $0, 496(%rsp) movq $0, 504(%rsp) movq $0, 512(%rsp) leaq 520(%rsp), %rdi call _ZNSt6localeC1Ev@PLT leaq 16+_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE(%rip), %rax movq %rax, 464(%rsp) movl $0, 528(%rsp) movq 136(%rsp), %rbx movq 128(%rsp), %rbp leaq 552(%rsp), %rax movq %rax, 536(%rsp) testq %rbp, %rbp jne .L123 testq %rbx, %rbx jne .L197 .L123: movq %rbx, 80(%rsp) cmpq $15, %rbx ja .L198 cmpq $1, %rbx jne .L127 movzbl 0(%rbp), %eax movb %al, 552(%rsp) .L128: movq 80(%rsp), %rax movq %rax, 544(%rsp) movq 536(%rsp), %rdx movb $0, (%rdx,%rax) movl $8, 528(%rsp) leaq 464(%rsp), %rdi movl $0, %ecx movl $0, %edx movq 536(%rsp), %rsi .LEHB16: call _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE7_M_syncEPcmm@PLT .LEHE16: jmp .L199 .L197: movq 840(%rsp), %rax subq %fs:40, %rax jne .L200 leaq .LC2(%rip), %rdi .LEHB17: call _ZSt19__throw_logic_errorPKc@PLT .L180: endbr64 movq %rax, %rbx jmp .L131 .L200: call __stack_chk_fail@PLT .L198: leaq 80(%rsp), %rsi leaq 536(%rsp), %rdi movl $0, %edx call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_createERmm@PLT .LEHE17: movq %rax, %rdi movq %rax, 536(%rsp) movq 80(%rsp), %rax movq %rax, 552(%rsp) .L126: movq %rbx, %rdx movq %rbp, %rsi call memcpy@PLT jmp .L128 .L127: testq %rbx, %rbx je .L128 leaq 552(%rsp), %rdi jmp .L126 .L181: endbr64 movq %rax, %rbx leaq 536(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L131: leaq 16+_ZTVSt15basic_streambufIcSt11char_traitsIcEE(%rip), %rax movq %rax, 464(%rsp) leaq 520(%rsp), %rdi call _ZNSt6localeD1Ev@PLT .L132: movq %r14, 448(%rsp) movq -24(%r14), %rax movq 16+_ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %rcx movq %rcx, 448(%rsp,%rax) movq $0, 456(%rsp) .L136: leaq 16+_ZTVSt9basic_iosIcSt11char_traitsIcEE(%rip), %rax movq %rax, 568(%rsp) leaq 568(%rsp), %rdi call _ZNSt8ios_baseD2Ev@PLT .L137: movq 104(%rsp), %r12 movq 96(%rsp), %rbp .L167: cmpq %rbp, %r12 jne .L169 movq 96(%rsp), %rdi movq 112(%rsp), %rsi subq %rdi, %rsi testq %rdi, %rdi je .L171 call _ZdlPvm@PLT .L171: leaq 128(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT movq 840(%rsp), %rax subq %fs:40, %rax je .L172 call __stack_chk_fail@PLT .L199: leaq 464(%rsp), %rsi leaq 568(%rsp), %rdi .LEHB18: call _ZNSt9basic_iosIcSt11char_traitsIcEE4initEPSt15basic_streambufIcS1_E@PLT .LEHE18: jmp .L201 .L179: endbr64 movq %rax, %rbx leaq 16+_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE(%rip), %rax movq %rax, 464(%rsp) movq 536(%rsp), %rdi leaq 552(%rsp), %rax cmpq %rax, %rdi je .L135 movq 552(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L135: leaq 16+_ZTVSt15basic_streambufIcSt11char_traitsIcEE(%rip), %rax movq %rax, 464(%rsp) leaq 520(%rsp), %rdi call _ZNSt6localeD1Ev@PLT jmp .L132 .L178: endbr64 movq %rax, %rbx jmp .L136 .L201: movq $0, 208(%rsp) leaq 232(%rsp), %rax movq %rax, 216(%rsp) movq $0, 224(%rsp) movb $0, 232(%rsp) movb $0, 248(%rsp) leaq 448(%rsp), %rdi movq %rdi, 160(%rsp) leaq 184(%rsp), %rax movq %rax, 168(%rsp) movq $0, 176(%rsp) movb $0, 184(%rsp) movb $1, 200(%rsp) leaq 168(%rsp), %rsi .LEHB19: call _ZStrsIcSt11char_traitsIcESaIcEERSt13basic_istreamIT_T0_ES7_RNSt7__cxx1112basic_stringIS4_S5_T1_EE@PLT .LEHE19: movq (%rax), %rdx movq -24(%rdx), %rdx testb $5, 32(%rax,%rdx) je .L138 movq $0, 160(%rsp) movb $0, 200(%rsp) .L138: leaq 96(%rsp), %rbx movq 208(%rsp), %rax movq %rax, 352(%rsp) leaq 376(%rsp), %rax movq %rax, 360(%rsp) movq 216(%rsp), %rsi movq %rsi, %rdx addq 224(%rsp), %rdx leaq 360(%rsp), %rdi .LEHB20: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE20: jmp .L202 .L182: endbr64 movq %rax, %rbx leaq 168(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L141: leaq 216(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT leaq 448(%rsp), %rdi call _ZNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEED1Ev@PLT jmp .L137 .L202: movzbl 248(%rsp), %eax movb %al, 392(%rsp) movq 352(%rsp), %rax movq %rax, 400(%rsp) leaq 424(%rsp), %rax movq %rax, 408(%rsp) movq 360(%rsp), %rsi movq %rsi, %rdx addq 368(%rsp), %rdx leaq 408(%rsp), %rdi .LEHB21: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE21: movzbl 392(%rsp), %eax movb %al, 440(%rsp) movq 160(%rsp), %rax movq %rax, 256(%rsp) leaq 280(%rsp), %rax movq %rax, 264(%rsp) movq 168(%rsp), %rsi movq %rsi, %rdx addq 176(%rsp), %rdx leaq 264(%rsp), %rdi .LEHB22: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE22: movzbl 200(%rsp), %eax movb %al, 296(%rsp) movq 256(%rsp), %rax movq %rax, 304(%rsp) leaq 328(%rsp), %rax movq %rax, 312(%rsp) movq 264(%rsp), %rsi movq %rsi, %rdx addq 272(%rsp), %rdx leaq 312(%rsp), %rdi .LEHB23: call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag .LEHE23: movzbl 296(%rsp), %eax movb %al, 344(%rsp) leaq 400(%rsp), %rsi leaq 304(%rsp), %rdi movq %rbx, %rdx .LEHB24: call _ZSt13__copy_move_aILb0ESt16istream_iteratorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEcS4_lESt20back_insert_iteratorISt6vectorIS6_SaIS6_EEEET1_T0_SE_SD_ .LEHE24: movq 312(%rsp), %rdi leaq 328(%rsp), %rax cmpq %rax, %rdi je .L142 movq 328(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L142: movq 264(%rsp), %rdi leaq 280(%rsp), %rax cmpq %rax, %rdi je .L143 movq 280(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L143: movq 408(%rsp), %rdi leaq 424(%rsp), %rax cmpq %rax, %rdi je .L144 movq 424(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L144: movq 360(%rsp), %rdi leaq 376(%rsp), %rax cmpq %rax, %rdi je .L145 movq 376(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L145: movq 168(%rsp), %rdi leaq 184(%rsp), %rax cmpq %rax, %rdi je .L146 movq 184(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L146: movq 216(%rsp), %rdi leaq 232(%rsp), %rax cmpq %rax, %rdi je .L153 movq 232(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L153: movq 96(%rsp), %rdx cmpq %rdx, 104(%rsp) je .L154 movl %r13d, %eax imull %r15d, %eax cltq movl $0, %ebx movq 16(%rsp), %rcx leaq (%rcx,%rax,4), %rbp .L155: movq %rbx, %rax salq $5, %rax movq (%rdx,%rax), %rdi movl $10, %edx movl $0, %esi call __isoc23_strtol@PLT movl %eax, 0(%rbp,%rbx,4) movq 96(%rsp), %rdx addq $1, %rbx movq 104(%rsp), %rax subq %rdx, %rax sarq $5, %rax cmpq %rax, %rbx jb .L155 .L154: addl $1, %r15d cmpl %r13d, %r15d je .L203 .L156: leaq 24+_ZTVNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %rax movq %rax, 448(%rsp) leaq 40(%rax), %rax movq %rax, 568(%rsp) leaq 16+_ZTVNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEEE(%rip), %rax movq %rax, 464(%rsp) movq 536(%rsp), %rdi leaq 552(%rsp), %rax cmpq %rax, %rdi je .L157 movq 552(%rsp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L157: leaq 16+_ZTVSt15basic_streambufIcSt11char_traitsIcEE(%rip), %rax movq %rax, 464(%rsp) leaq 520(%rsp), %rdi call _ZNSt6localeD1Ev@PLT movq %r14, 448(%rsp) movq -24(%r14), %rax movq 16+_ZTTNSt7__cxx1119basic_istringstreamIcSt11char_traitsIcESaIcEEE(%rip), %rcx movq %rcx, 448(%rsp,%rax) movq $0, 456(%rsp) leaq 16+_ZTVSt9basic_iosIcSt11char_traitsIcEE(%rip), %rax movq %rax, 568(%rsp) leaq 568(%rsp), %rdi call _ZNSt8ios_baseD2Ev@PLT movq 104(%rsp), %rbp movq 96(%rsp), %rbx cmpq %rbx, %rbp jne .L160 .L158: movq 96(%rsp), %rdi testq %rdi, %rdi je .L122 movq 112(%rsp), %rsi subq %rdi, %rsi call _ZdlPvm@PLT jmp .L122 .L186: endbr64 movq %rax, %rbx leaq 312(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L149: leaq 264(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L150: leaq 408(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L151: leaq 360(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT .L152: leaq 168(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT jmp .L141 .L185: endbr64 movq %rax, %rbx jmp .L149 .L184: endbr64 movq %rax, %rbx jmp .L150 .L183: endbr64 movq %rax, %rbx jmp .L151 .L203: movl 12(%rsp), %r15d movq 24(%rsp), %rax movq %rax, 16(%rsp) jmp .L156 .L204: movq 16(%rbx), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L159: addq $32, %rbx cmpq %rbx, %rbp je .L158 .L160: movq (%rbx), %rdi leaq 16(%rbx), %rax cmpq %rax, %rdi jne .L204 jmp .L159 .L119: movq 840(%rsp), %rax subq %fs:40, %rax jne .L205 .LEHB25: call _ZSt16__throw_bad_castv@PLT .L176: endbr64 movq %rax, %rbx jmp .L171 .L205: call __stack_chk_fail@PLT .L163: movq %rbx, %rdi call _ZNKSt5ctypeIcE13_M_widen_initEv@PLT movq (%rbx), %rax movl $10, %esi movq %rbx, %rdi call *48(%rax) movl %eax, %edx jmp .L164 .L196: movq (%rax), %rdx movq -24(%rdx), %rdx movl 32(%rax,%rdx), %eax andl $5, %eax movl %eax, 12(%rsp) jne .L206 cmpl $-1, %r13d jne .L121 movl $10, %edx movl $0, %esi movq 128(%rsp), %rdi call __isoc23_strtol@PLT movl %eax, %r13d imull %eax, %eax movslq %eax, %rbx salq $2, %rbx movq %rbx, %rdi call _Znam@PLT jmp .L207 .L206: movslq %r13d, %rbx imulq %rbx, %rbx salq $2, %rbx leaq 56(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT leaq 64(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT leaq 72(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx movq 40(%rsp), %rsi movq 56(%rsp), %rdi call cudaMemcpy@PLT movl $1, %ecx movq %rbx, %rdx movq 24(%rsp), %rsi movq 64(%rsp), %rdi call cudaMemcpy@PLT movl $1, %ecx movq %rbx, %rdx movq 32(%rsp), %rsi movq 72(%rsp), %rdi call cudaMemcpy@PLT movl $1, 84(%rsp) movl $1, 88(%rsp) movl %r13d, %eax imull %r13d, %eax shrl $6, %eax movl %eax, 96(%rsp) movl $1, 100(%rsp) movl $1, 104(%rsp) movl $64, 80(%rsp) movl $0, %r9d movl $0, %r8d movq 80(%rsp), %rdx movl $1, %ecx movq 96(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax jne .L166 movl %r13d, %ecx movq 72(%rsp), %rdx movq 64(%rsp), %rsi movq 56(%rsp), %rdi call _Z32__device_stub__Z8multiplyPiS_S_iPiS_S_i .L166: movl $2, %ecx movq %rbx, %rdx movq 40(%rsp), %rsi movq 56(%rsp), %rdi call cudaMemcpy@PLT movl $2, %ecx movq %rbx, %rdx movq 24(%rsp), %rsi movq 64(%rsp), %rdi call cudaMemcpy@PLT movl $2, %ecx movq %rbx, %rdx movq 32(%rsp), %rsi movq 72(%rsp), %rdi call cudaMemcpy@PLT .LEHE25: leaq 128(%rsp), %rdi call _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_disposeEv@PLT movq 840(%rsp), %rax subq %fs:40, %rax jne .L208 movl $0, %eax addq $856, %rsp .cfi_remember_state .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %rbp .cfi_def_cfa_offset 40 popq %r12 .cfi_def_cfa_offset 32 popq %r13 .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 ret .L177: .cfi_restore_state endbr64 movq %rax, %rbx jmp .L152 .L169: movq 0(%rbp), %rdi leaq 16(%rbp), %rax cmpq %rax, %rdi je .L168 movq 16(%rbp), %rax leaq 1(%rax), %rsi call _ZdlPvm@PLT .L168: addq $32, %rbp jmp .L167 .L172: movq %rbx, %rdi .LEHB26: call _Unwind_Resume@PLT .LEHE26: .L208: call __stack_chk_fail@PLT .cfi_endproc .LFE4108: .section .gcc_except_table,"a",@progbits .LLSDA4108: .byte 0xff .byte 0xff .byte 0x1 .uleb128 .LLSDACSE4108-.LLSDACSB4108 .LLSDACSB4108: .uleb128 .LEHB14-.LFB4108 .uleb128 .LEHE14-.LEHB14 .uleb128 .L176-.LFB4108 .uleb128 0 .uleb128 .LEHB15-.LFB4108 .uleb128 .LEHE15-.LEHB15 .uleb128 .L178-.LFB4108 .uleb128 0 .uleb128 .LEHB16-.LFB4108 .uleb128 .LEHE16-.LEHB16 .uleb128 .L181-.LFB4108 .uleb128 0 .uleb128 .LEHB17-.LFB4108 .uleb128 .LEHE17-.LEHB17 .uleb128 .L180-.LFB4108 .uleb128 0 .uleb128 .LEHB18-.LFB4108 .uleb128 .LEHE18-.LEHB18 .uleb128 .L179-.LFB4108 .uleb128 0 .uleb128 .LEHB19-.LFB4108 .uleb128 .LEHE19-.LEHB19 .uleb128 .L182-.LFB4108 .uleb128 0 .uleb128 .LEHB20-.LFB4108 .uleb128 .LEHE20-.LEHB20 .uleb128 .L177-.LFB4108 .uleb128 0 .uleb128 .LEHB21-.LFB4108 .uleb128 .LEHE21-.LEHB21 .uleb128 .L183-.LFB4108 .uleb128 0 .uleb128 .LEHB22-.LFB4108 .uleb128 .LEHE22-.LEHB22 .uleb128 .L184-.LFB4108 .uleb128 0 .uleb128 .LEHB23-.LFB4108 .uleb128 .LEHE23-.LEHB23 .uleb128 .L185-.LFB4108 .uleb128 0 .uleb128 .LEHB24-.LFB4108 .uleb128 .LEHE24-.LEHB24 .uleb128 .L186-.LFB4108 .uleb128 0 .uleb128 .LEHB25-.LFB4108 .uleb128 .LEHE25-.LEHB25 .uleb128 .L176-.LFB4108 .uleb128 0 .uleb128 .LEHB26-.LFB4108 .uleb128 .LEHE26-.LEHB26 .uleb128 0 .uleb128 0 .LLSDACSE4108: .text .size main, .-main .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .hidden DW.ref.__gxx_personality_v0 .weak DW.ref.__gxx_personality_v0 .section .data.rel.local.DW.ref.__gxx_personality_v0,"awG",@progbits,DW.ref.__gxx_personality_v0,comdat .align 8 .type DW.ref.__gxx_personality_v0, @object .size DW.ref.__gxx_personality_v0, 8 DW.ref.__gxx_personality_v0: .quad __gxx_personality_v0 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <iostream> #include <stdlib.h> #include <string> #include <vector> #include <sstream> #include <cuda.h> #include <iterator> using namespace std; __global__ void multiply(int A, int B, int C, int N) { int idx = blockDim.x blockIdx.x + threadIdx.x; int i = idx / N, j = idx % N; int sum = 0; for (int k = 0; k < N; k++) { sum += A[i * N + k] * B[k * N + j]; } C[idx] = sum; } int main() { string line; int N = -1; int A, B, C, cur; int count = 0; while(getline(cin, line)) { if (N == -1) { N = atoi(line.c_str()); A = new int[N * N]; B = new int[N * N]; C = new int[N * N]; cur = A; } else { vector<string> nums; istringstream iss(line); copy(istream_iterator<string>(iss), istream_iterator<string>(), back_inserter(nums)); for (int i = 0; i < nums.size(); i++) { cur[count * N + i] = atoi(nums[i].c_str()); } count++; if (count == N) { count = 0; cur = B; } } } int dA, dB, dC; cudaMalloc(&dA, sizeof(int) N * N); cudaMalloc(&dB, sizeof(int) * N * N); cudaMalloc(&dC, sizeof(int) * N * N); cudaMemcpy(dA, A, sizeof(int) * N * N, cudaMemcpyHostToDevice); cudaMemcpy(dB, B, sizeof(int) * N * N, cudaMemcpyHostToDevice); cudaMemcpy(dC, C, sizeof(int) * N * N, cudaMemcpyHostToDevice); dim3 blockDim(64, 1, 1); dim3 gridDim(N * N / blockDim.x, 1, 1); multiply<<<gridDim, blockDim>>>(dA, dB, dC, N); cudaMemcpy(dA, A, sizeof(int) * N * N, cudaMemcpyDeviceToHost); cudaMemcpy(dB, B, sizeof(int) * N * N, cudaMemcpyDeviceToHost); cudaMemcpy(dC, C, sizeof(int) * N * N, cudaMemcpyDeviceToHost); return 0; }	#include <iostream> #include <stdlib.h> #include <string> #include <vector> #include <sstream> #include <hip/hip_runtime.h> #include <iterator> using namespace std; __global__ void multiply(int A, int B, int C, int N) { int idx = blockDim.x blockIdx.x + threadIdx.x; int i = idx / N, j = idx % N; int sum = 0; for (int k = 0; k < N; k++) { sum += A[i * N + k] * B[k * N + j]; } C[idx] = sum; } int main() { string line; int N = -1; int A, B, C, cur; int count = 0; while(getline(cin, line)) { if (N == -1) { N = atoi(line.c_str()); A = new int[N * N]; B = new int[N * N]; C = new int[N * N]; cur = A; } else { vector<string> nums; istringstream iss(line); copy(istream_iterator<string>(iss), istream_iterator<string>(), back_inserter(nums)); for (int i = 0; i < nums.size(); i++) { cur[count * N + i] = atoi(nums[i].c_str()); } count++; if (count == N) { count = 0; cur = B; } } } int dA, dB, dC; hipMalloc(&dA, sizeof(int) N * N); hipMalloc(&dB, sizeof(int) * N * N); hipMalloc(&dC, sizeof(int) * N * N); hipMemcpy(dA, A, sizeof(int) * N * N, hipMemcpyHostToDevice); hipMemcpy(dB, B, sizeof(int) * N * N, hipMemcpyHostToDevice); hipMemcpy(dC, C, sizeof(int) * N * N, hipMemcpyHostToDevice); dim3 blockDim(64, 1, 1); dim3 gridDim(N * N / blockDim.x, 1, 1); multiply<<<gridDim, blockDim>>>(dA, dB, dC, N); hipMemcpy(dA, A, sizeof(int) * N * N, hipMemcpyDeviceToHost); hipMemcpy(dB, B, sizeof(int) * N * N, hipMemcpyDeviceToHost); hipMemcpy(dC, C, sizeof(int) * N * N, hipMemcpyDeviceToHost); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <iostream> #include <stdlib.h> #include <string> #include <vector> #include <sstream> #include <hip/hip_runtime.h> #include <iterator> using namespace std; __global__ void multiply(int A, int B, int C, int N) { int idx = blockDim.x blockIdx.x + threadIdx.x; int i = idx / N, j = idx % N; int sum = 0; for (int k = 0; k < N; k++) { sum += A[i * N + k] * B[k * N + j]; } C[idx] = sum; } int main() { string line; int N = -1; int A, B, C, cur; int count = 0; while(getline(cin, line)) { if (N == -1) { N = atoi(line.c_str()); A = new int[N * N]; B = new int[N * N]; C = new int[N * N]; cur = A; } else { vector<string> nums; istringstream iss(line); copy(istream_iterator<string>(iss), istream_iterator<string>(), back_inserter(nums)); for (int i = 0; i < nums.size(); i++) { cur[count * N + i] = atoi(nums[i].c_str()); } count++; if (count == N) { count = 0; cur = B; } } } int dA, dB, dC; hipMalloc(&dA, sizeof(int) N * N); hipMalloc(&dB, sizeof(int) * N * N); hipMalloc(&dC, sizeof(int) * N * N); hipMemcpy(dA, A, sizeof(int) * N * N, hipMemcpyHostToDevice); hipMemcpy(dB, B, sizeof(int) * N * N, hipMemcpyHostToDevice); hipMemcpy(dC, C, sizeof(int) * N * N, hipMemcpyHostToDevice); dim3 blockDim(64, 1, 1); dim3 gridDim(N * N / blockDim.x, 1, 1); multiply<<<gridDim, blockDim>>>(dA, dB, dC, N); hipMemcpy(dA, A, sizeof(int) * N * N, hipMemcpyDeviceToHost); hipMemcpy(dB, B, sizeof(int) * N * N, hipMemcpyDeviceToHost); hipMemcpy(dC, C, sizeof(int) * N * N, hipMemcpyDeviceToHost); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z8multiplyPiS_S_i .globl _Z8multiplyPiS_S_i .p2align 8 .type _Z8multiplyPiS_S_i,@function _Z8multiplyPiS_S_i: s_clause 0x1 s_load_b32 s3, s[0:1], 0x2c s_load_b32 s2, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s3, s3, 0xffff s_cmp_lt_i32 s2, 1 v_mad_u64_u32 v[1:2], null, s15, s3, v[0:1] s_mov_b32 s3, 0 s_cbranch_scc1 .LBB0_3 s_ashr_i32 s4, s2, 31 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_ashrrev_i32_e32 v4, 31, v1 s_add_i32 s5, s2, s4 s_xor_b32 s4, s5, s4 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_add_nc_u32_e32 v3, v1, v4 v_cvt_f32_u32_e32 v0, s4 s_sub_i32 s5, 0, s4 v_xor_b32_e32 v5, v3, v4 s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_2) \| instid1(VALU_DEP_1) v_rcp_iflag_f32_e32 v0, v0 s_waitcnt_depctr 0xfff v_mul_f32_e32 v0, 0x4f7ffffe, v0 v_cvt_u32_f32_e32 v0, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_lo_u32 v2, s5, v0 v_mul_hi_u32 v2, v0, v2 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_nc_u32_e32 v0, v0, v2 v_mad_u64_u32 v[2:3], null, v5, v0, 0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_lo_u32 v0, v3, s4 v_sub_nc_u32_e32 v0, v5, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_subrev_nc_u32_e32 v2, s4, v0 v_cmp_le_u32_e32 vcc_lo, s4, v0 v_cndmask_b32_e32 v0, v0, v2, vcc_lo s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_subrev_nc_u32_e32 v2, s4, v0 v_cmp_le_u32_e32 vcc_lo, s4, v0 s_load_b128 s[4:7], s[0:1], 0x0 v_cndmask_b32_e32 v0, v0, v2, vcc_lo s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_xor_b32_e32 v0, v0, v4 v_sub_nc_u32_e32 v2, v0, v4 v_mov_b32_e32 v0, 0 s_delay_alu instid0(VALU_DEP_2) v_sub_nc_u32_e32 v4, v1, v2 .p2align 6 .LBB0_2: s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) v_add_nc_u32_e32 v5, s3, v4 v_ashrrev_i32_e32 v3, 31, v2 s_add_i32 s3, s3, 1 s_cmp_eq_u32 s2, s3 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_ashrrev_i32_e32 v6, 31, v5 v_lshlrev_b64 v[7:8], 2, v[2:3] v_add_nc_u32_e32 v2, s2, v2 s_delay_alu instid0(VALU_DEP_3) \| instskip(SKIP_1) \| instid1(VALU_DEP_3) v_lshlrev_b64 v[5:6], 2, v[5:6] s_waitcnt lgkmcnt(0) v_add_co_u32 v7, vcc_lo, s6, v7 s_delay_alu instid0(VALU_DEP_4) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_add_co_ci_u32_e32 v8, vcc_lo, s7, v8, vcc_lo v_add_co_u32 v5, vcc_lo, s4, v5 s_delay_alu instid0(VALU_DEP_4) \| instskip(SKIP_4) \| instid1(VALU_DEP_1) v_add_co_ci_u32_e32 v6, vcc_lo, s5, v6, vcc_lo global_load_b32 v3, v[7:8], off global_load_b32 v7, v[5:6], off s_waitcnt vmcnt(0) v_mad_u64_u32 v[5:6], null, v3, v7, v[0:1] v_mov_b32_e32 v0, v5 s_cbranch_scc0 .LBB0_2 s_branch .LBB0_4 .LBB0_3: v_mov_b32_e32 v0, 0 .LBB0_4: s_load_b64 s[0:1], s[0:1], 0x10 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v2, 31, v1 v_lshlrev_b64 v[1:2], 2, v[1:2] s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v1, vcc_lo, s0, v1 v_add_co_ci_u32_e32 v2, vcc_lo, s1, v2, vcc_lo global_store_b32 v[1:2], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z8multiplyPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 9 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z8multiplyPiS_S_i, .Lfunc_end0-_Z8multiplyPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z8multiplyPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z8multiplyPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 9 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z8multiplyPiS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ IABS R8, c[0x0][0x178] ; / 0x00005e0000087a13 / / 0x000fe20000000000 / /0020/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e220000002500 / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0040/ HFMA2.MMA R18, -RZ, RZ, 0, 0 ; / 0x00000000ff127435 / / 0x000fe200000001ff / /0050/ I2F.RP R6, R8 ; / 0x0000000800067306 / / 0x000e620000209400 / /0060/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e2e0000002100 / /0070/ MUFU.RCP R6, R6 ; / 0x0000000600067308 / / 0x002e620000001000 / /0080/ IMAD R2, R0, c[0x0][0x0], R3 ; / 0x0000000000027a24 / / 0x001fca00078e0203 / /0090/ ISETP.GE.AND P1, PT, R2, RZ, PT ; / 0x000000ff0200720c / / 0x000fe40003f26270 / /00a0/ IADD3 R4, R6, 0xffffffe, RZ ; / 0x0ffffffe06047810 / / 0x002fe40007ffe0ff / /00b0/ IABS R6, R2 ; / 0x0000000200067213 / / 0x000fe40000000000 / /00c0/ F2I.FTZ.U32.TRUNC.NTZ R5, R4 ; / 0x0000000400057305 / / 0x000064000021f000 / /00d0/ HFMA2.MMA R4, -RZ, RZ, 0, 0 ; / 0x00000000ff047435 / / 0x001fe200000001ff / /00e0/ IADD3 R7, RZ, -R5, RZ ; / 0x80000005ff077210 / / 0x002fca0007ffe0ff / /00f0/ IMAD R7, R7, R8, RZ ; / 0x0000000807077224 / / 0x000fc800078e02ff / /0100/ IMAD.HI.U32 R5, R5, R7, R4 ; / 0x0000000705057227 / / 0x000fe200078e0004 / /0110/ MOV R4, c[0x0][0x178] ; / 0x00005e0000047a02 / / 0x000fca0000000f00 / /0120/ IMAD.HI.U32 R5, R5, R6, RZ ; / 0x0000000605057227 / / 0x000fca00078e00ff / /0130/ IADD3 R5, -R5, RZ, RZ ; / 0x000000ff05057210 / / 0x000fca0007ffe1ff / /0140/ IMAD R5, R8, R5, R6 ; / 0x0000000508057224 / / 0x000fca00078e0206 / /0150/ ISETP.GT.U32.AND P0, PT, R8, R5, PT ; / 0x000000050800720c / / 0x000fda0003f04070 / /0160/ @!P0 IADD3 R5, R5, -R8, RZ ; / 0x8000000805058210 / / 0x000fe40007ffe0ff / /0170/ ISETP.NE.AND P0, PT, RZ, c[0x0][0x178], PT ; / 0x00005e00ff007a0c / / 0x000fe40003f05270 / /0180/ ISETP.GT.U32.AND P2, PT, R8, R5, PT ; / 0x000000050800720c / / 0x000fda0003f44070 / /0190/ @!P2 IADD3 R5, R5, -R8, RZ ; / 0x800000080505a210 / / 0x000fe40007ffe0ff / /01a0/ ISETP.GE.AND P2, PT, R4, 0x1, PT ; / 0x000000010400780c / / 0x000fe40003f46270 / /01b0/ @!P1 IADD3 R5, -R5, RZ, RZ ; / 0x000000ff05059210 / / 0x000fe40007ffe1ff / /01c0/ @!P0 LOP3.LUT R5, RZ, c[0x0][0x178], RZ, 0x33, !PT ; / 0x00005e00ff058a12 / / 0x000fd200078e33ff / /01d0/ @!P2 BRA 0xd00 ; / 0x00000b200000a947 / / 0x000fea0003800000 / /01e0/ IADD3 R6, R4.reuse, -0x1, RZ ; / 0xffffffff04067810 / / 0x040fe40007ffe0ff / /01f0/ LOP3.LUT R7, R4, 0x3, RZ, 0xc0, !PT ; / 0x0000000304077812 / / 0x000fe400078ec0ff / /0200/ ISETP.GE.U32.AND P0, PT, R6, 0x3, PT ; / 0x000000030600780c / / 0x000fe40003f06070 / /0210/ MOV R6, RZ ; / 0x000000ff00067202 / / 0x000fe40000000f00 / /0220/ MOV R18, RZ ; / 0x000000ff00127202 / / 0x000fd20000000f00 / /0230/ @!P0 BRA 0xbe0 ; / 0x000009a000008947 / / 0x000fea0003800000 / /0240/ IADD3 R8, -R7, c[0x0][0x178], RZ ; / 0x00005e0007087a10 / / 0x000fe20007ffe1ff / /0250/ HFMA2.MMA R26, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff1a7435 / / 0x000fe200000001ff / /0260/ ULDC.64 UR6, c[0x0][0x160] ; / 0x0000580000067ab9 / / 0x000fe20000000a00 / /0270/ IADD3 R9, R2, -R5, RZ ; / 0x8000000502097210 / / 0x000fe40007ffe0ff / /0280/ ISETP.GT.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe40003f04270 / /0290/ MOV R6, RZ ; / 0x000000ff00067202 / / 0x000fc80000000f00 / /02a0/ IMAD.WIDE R26, R5, R26, c[0x0][0x168] ; / 0x00005a00051a7625 / / 0x000fce00078e021a / /02b0/ @!P0 BRA 0xa50 ; / 0x0000079000008947 / / 0x000fea0003800000 / /02c0/ ISETP.GT.AND P1, PT, R8, 0xc, PT ; / 0x0000000c0800780c / / 0x000fe40003f24270 / /02d0/ PLOP3.LUT P0, PT, PT, PT, PT, 0x80, 0x0 ; / 0x000000000000781c / / 0x000fd60003f0f070 / /02e0/ @!P1 BRA 0x790 ; / 0x000004a000009947 / / 0x000fea0003800000 / /02f0/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe40003f0e170 / /0300/ MOV R12, UR6 ; / 0x00000006000c7c02 / / 0x000fe20008000f00 / /0310/ LDG.E R19, [R26.64] ; / 0x000000041a137981 / / 0x0000a2000c1e1900 / /0320/ MOV R13, UR7 ; / 0x00000007000d7c02 / / 0x000fca0008000f00 / /0330/ IMAD.WIDE R12, R9, 0x4, R12 ; / 0x00000004090c7825 / / 0x000fca00078e020c / /0340/ LDG.E R28, [R12.64] ; / 0x000000040c1c7981 / / 0x000ea2000c1e1900 / /0350/ IMAD.WIDE R16, R4, 0x4, R26 ; / 0x0000000404107825 / / 0x000fc600078e021a / /0360/ LDG.E R23, [R12.64+0x4] ; / 0x000004040c177981 / / 0x000ee6000c1e1900 / /0370/ IMAD.WIDE R10, R4.reuse, 0x4, R16 ; / 0x00000004040a7825 / / 0x040fe200078e0210 / /0380/ LDG.E R22, [R16.64] ; / 0x0000000410167981 / / 0x0002e8000c1e1900 / /0390/ LDG.E R25, [R10.64] ; / 0x000000040a197981 / / 0x000968000c1e1900 / /03a0/ LDG.E R24, [R12.64+0x8] ; / 0x000008040c187981 / / 0x000f68000c1e1900 / /03b0/ LDG.E R14, [R12.64+0xc] ; / 0x00000c040c0e7981 / / 0x000f62000c1e1900 / /03c0/ IMAD.WIDE R10, R4, 0x4, R10 ; / 0x00000004040a7825 / / 0x010fc600078e020a / /03d0/ LDG.E R26, [R12.64+0x10] ; / 0x000010040c1a7981 / / 0x001f28000c1e1900 / /03e0/ LDG.E R15, [R10.64] ; / 0x000000040a0f7981 / / 0x000122000c1e1900 / /03f0/ IMAD.WIDE R20, R4, 0x4, R10 ; / 0x0000000404147825 / / 0x000fca00078e020a / /0400/ LDG.E R27, [R20.64] ; / 0x00000004141b7981 / / 0x000122000c1e1900 / /0410/ IMAD.WIDE R16, R4, 0x4, R20 ; / 0x0000000404107825 / / 0x002fc600078e0214 / /0420/ LDG.E R10, [R12.64+0x18] ; / 0x000018040c0a7981 / / 0x001f28000c1e1900 / /0430/ LDG.E R21, [R12.64+0x1c] ; / 0x00001c040c157981 / / 0x000f22000c1e1900 / /0440/ IMAD R28, R19, R28, R18 ; / 0x0000001c131c7224 / / 0x004fc600078e0212 / /0450/ LDG.E R18, [R12.64+0x14] ; / 0x000014040c127981 / / 0x000ea8000c1e1900 / /0460/ LDG.E R19, [R16.64] ; / 0x0000000410137981 / / 0x0000a2000c1e1900 / /0470/ IMAD R28, R22, R23, R28 ; / 0x00000017161c7224 / / 0x008fe400078e021c / /0480/ IMAD.WIDE R16, R4, 0x4, R16 ; / 0x0000000404107825 / / 0x001fca00078e0210 / /0490/ LDG.E R11, [R16.64] ; / 0x00000004100b7981 / / 0x000ae2000c1e1900 / /04a0/ IMAD.WIDE R22, R4, 0x4, R16 ; / 0x0000000404167825 / / 0x000fca00078e0210 / /04b0/ LDG.E R20, [R22.64] ; / 0x0000000416147981 / / 0x0000e2000c1e1900 / /04c0/ IMAD R16, R25, R24, R28 ; / 0x0000001819107224 / / 0x020fe400078e021c / /04d0/ IMAD.WIDE R24, R4.reuse, 0x4, R22 ; / 0x0000000404187825 / / 0x040fe200078e0216 / /04e0/ LDG.E R28, [R12.64+0x20] ; / 0x000020040c1c7981 / / 0x000f68000c1e1900 / /04f0/ LDG.E R29, [R24.64] ; / 0x00000004181d7981 / / 0x000362000c1e1900 / /0500/ IMAD R16, R15, R14, R16 ; / 0x0000000e0f107224 / / 0x010fe400078e0210 / /0510/ IMAD.WIDE R14, R4, 0x4, R24 ; / 0x00000004040e7825 / / 0x000fe200078e0218 / /0520/ LDG.E R23, [R12.64+0x24] ; / 0x000024040c177981 / / 0x001f26000c1e1900 / /0530/ IMAD R26, R27, R26, R16 ; / 0x0000001a1b1a7224 / / 0x000fc400078e0210 / /0540/ IMAD.WIDE R16, R4, 0x4, R14 ; / 0x0000000404107825 / / 0x000fe200078e020e / /0550/ LDG.E R27, [R12.64+0x28] ; / 0x000028040c1b7981 / / 0x000f28000c1e1900 / /0560/ LDG.E R14, [R14.64] ; / 0x000000040e0e7981 / / 0x000128000c1e1900 / /0570/ LDG.E R22, [R16.64] ; / 0x0000000410167981 / / 0x000328000c1e1900 / /0580/ LDG.E R15, [R12.64+0x30] ; / 0x000030040c0f7981 / / 0x001f22000c1e1900 / /0590/ IMAD R26, R19, R18, R26 ; / 0x00000012131a7224 / / 0x004fc400078e021a / /05a0/ IMAD.WIDE R18, R4, 0x4, R16 ; / 0x0000000404127825 / / 0x000fc800078e0210 / /05b0/ IMAD R26, R11, R10, R26 ; / 0x0000000a0b1a7224 / / 0x008fe400078e021a / /05c0/ IMAD.WIDE R10, R4, 0x4, R18 ; / 0x00000004040a7825 / / 0x000fe400078e0212 / /05d0/ LDG.E R18, [R18.64] ; / 0x0000000412127981 / / 0x0000a4000c1e1900 / /05e0/ IMAD R24, R20, R21, R26 ; / 0x0000001514187224 / / 0x002fe400078e021a / /05f0/ IMAD.WIDE R20, R4, 0x4, R10 ; / 0x0000000404147825 / / 0x000fe200078e020a / /0600/ LDG.E R26, [R12.64+0x2c] ; / 0x00002c040c1a7981 / / 0x000ea8000c1e1900 / /0610/ LDG.E R10, [R10.64] ; / 0x000000040a0a7981 / / 0x0002e2000c1e1900 / /0620/ IMAD R28, R29, R28, R24 ; / 0x0000001c1d1c7224 / / 0x020fc600078e0218 / /0630/ LDG.E R19, [R12.64+0x38] ; / 0x000038040c137981 / / 0x001f62000c1e1900 / /0640/ IMAD.WIDE R24, R4, 0x4, R20 ; / 0x0000000404187825 / / 0x000fc600078e0214 / /0650/ LDG.E R20, [R20.64] ; / 0x0000000414147981 / / 0x000168000c1e1900 / /0660/ LDG.E R11, [R12.64+0x34] ; / 0x000034040c0b7981 / / 0x002f62000c1e1900 / /0670/ IMAD.WIDE R16, R4, 0x4, R24 ; / 0x0000000404107825 / / 0x000fc600078e0218 / /0680/ LDG.E R29, [R24.64] ; / 0x00000004181d7981 / / 0x000368000c1e1900 / /0690/ LDG.E R21, [R16.64] ; / 0x0000000410157981 / / 0x001f68000c1e1900 / /06a0/ LDG.E R24, [R12.64+0x3c] ; / 0x00003c040c187981 / / 0x002f62000c1e1900 / /06b0/ IMAD R14, R14, R23, R28 ; / 0x000000170e0e7224 / / 0x010fe200078e021c / /06c0/ IADD3 R8, R8, -0x10, RZ ; / 0xfffffff008087810 / / 0x000fc60007ffe0ff / /06d0/ IMAD R27, R22, R27, R14 ; / 0x0000001b161b7224 / / 0x000fe200078e020e / /06e0/ ISETP.GT.AND P1, PT, R8, 0xc, PT ; / 0x0000000c0800780c / / 0x000fe20003f24270 / /06f0/ UIADD3 UR6, UP0, UR6, 0x40, URZ ; / 0x0000004006067890 / / 0x000fe2000ff1e03f / /0700/ IADD3 R6, R6, 0x10, RZ ; / 0x0000001006067810 / / 0x000fc60007ffe0ff / /0710/ UIADD3.X UR7, URZ, UR7, URZ, UP0, !UPT ; / 0x000000073f077290 / / 0x000fe200087fe43f / /0720/ IMAD R18, R18, R26, R27 ; / 0x0000001a12127224 / / 0x004fc800078e021b / /0730/ IMAD R10, R10, R15, R18 ; / 0x0000000f0a0a7224 / / 0x008fe400078e0212 / /0740/ IMAD.WIDE R26, R4, 0x4, R16 ; / 0x00000004041a7825 / / 0x000fc800078e0210 / /0750/ IMAD R10, R20, R11, R10 ; / 0x0000000b140a7224 / / 0x020fc800078e020a / /0760/ IMAD R10, R29, R19, R10 ; / 0x000000131d0a7224 / / 0x000fc800078e020a / /0770/ IMAD R18, R21, R24, R10 ; / 0x0000001815127224 / / 0x000fe200078e020a / /0780/ @P1 BRA 0x300 ; / 0xfffffb7000001947 / / 0x000fea000383ffff / /0790/ ISETP.GT.AND P1, PT, R8, 0x4, PT ; / 0x000000040800780c / / 0x000fda0003f24270 / /07a0/ @!P1 BRA 0xa30 ; / 0x0000028000009947 / / 0x000fea0003800000 / /07b0/ MOV R10, UR6 ; / 0x00000006000a7c02 / / 0x000fe20008000f00 / /07c0/ LDG.E R19, [R26.64] ; / 0x000000041a137981 / / 0x000ea2000c1e1900 / /07d0/ MOV R11, UR7 ; / 0x00000007000b7c02 / / 0x000fca0008000f00 / /07e0/ IMAD.WIDE R10, R9, 0x4, R10 ; / 0x00000004090a7825 / / 0x000fca00078e020a / /07f0/ LDG.E R24, [R10.64] ; / 0x000000040a187981 / / 0x000ea2000c1e1900 / /0800/ IMAD.WIDE R22, R4, 0x4, R26 ; / 0x0000000404167825 / / 0x000fc600078e021a / /0810/ LDG.E R25, [R10.64+0x4] ; / 0x000004040a197981 / / 0x000ee6000c1e1900 / /0820/ IMAD.WIDE R14, R4.reuse, 0x4, R22 ; / 0x00000004040e7825 / / 0x040fe200078e0216 / /0830/ LDG.E R29, [R10.64+0x8] ; / 0x000008040a1d7981 / / 0x000f28000c1e1900 / /0840/ LDG.E R22, [R22.64] ; / 0x0000000416167981 / / 0x0000e2000c1e1900 / /0850/ IMAD.WIDE R16, R4, 0x4, R14 ; / 0x0000000404107825 / / 0x000fc600078e020e / /0860/ LDG.E R14, [R14.64] ; / 0x000000040e0e7981 / / 0x000326000c1e1900 / /0870/ IMAD.WIDE R12, R4.reuse, 0x4, R16 ; / 0x00000004040c7825 / / 0x040fe200078e0210 / /0880/ LDG.E R28, [R10.64+0xc] ; / 0x00000c040a1c7981 / / 0x000f68000c1e1900 / /0890/ LDG.E R17, [R16.64] ; / 0x0000000410117981 / / 0x000362000c1e1900 / /08a0/ IMAD.WIDE R20, R4, 0x4, R12 ; / 0x0000000404147825 / / 0x000fc600078e020c / /08b0/ LDG.E R12, [R12.64] ; / 0x000000040c0c7981 / / 0x000328000c1e1900 / /08c0/ LDG.E R23, [R10.64+0x14] ; / 0x000014040a177981 / / 0x001f68000c1e1900 / /08d0/ LDG.E R16, [R10.64+0x18] ; / 0x000018040a107981 / / 0x002f68000c1e1900 / /08e0/ LDG.E R13, [R10.64+0x10] ; / 0x000010040a0d7981 / / 0x000f62000c1e1900 / /08f0/ IMAD R24, R19, R24, R18 ; / 0x0000001813187224 / / 0x004fc400078e0212 / /0900/ IMAD.WIDE R18, R4.reuse, 0x4, R20 ; / 0x0000000404127825 / / 0x040fe400078e0214 / /0910/ LDG.E R20, [R20.64] ; / 0x0000000414147981 / / 0x000ea8000c1e1900 / /0920/ IMAD.WIDE R26, R4, 0x4, R18 ; / 0x00000004041a7825 / / 0x000fe200078e0212 / /0930/ LDG.E R15, [R18.64] ; / 0x00000004120f7981 / / 0x0000a8000c1e1900 / /0940/ LDG.E R19, [R10.64+0x1c] ; / 0x00001c040a137981 / / 0x001ea8000c1e1900 / /0950/ LDG.E R18, [R26.64] ; / 0x000000041a127981 / / 0x0000a2000c1e1900 / /0960/ IMAD R22, R22, R25, R24 ; / 0x0000001916167224 / / 0x008fc800078e0218 / /0970/ IMAD R14, R14, R29, R22 ; / 0x0000001d0e0e7224 / / 0x010fc800078e0216 / /0980/ IMAD R14, R17, R28, R14 ; / 0x0000001c110e7224 / / 0x020fc800078e020e / /0990/ IMAD R12, R12, R13, R14 ; / 0x0000000d0c0c7224 / / 0x000fe200078e020e / /09a0/ UIADD3 UR6, UP0, UR6, 0x20, URZ ; / 0x0000002006067890 / / 0x000fe2000ff1e03f / /09b0/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe20003f0e170 / /09c0/ IMAD.WIDE R26, R4, 0x4, R26 ; / 0x00000004041a7825 / / 0x001fe200078e021a / /09d0/ IADD3 R6, R6, 0x8, RZ ; / 0x0000000806067810 / / 0x000fe40007ffe0ff / /09e0/ IADD3 R8, R8, -0x8, RZ ; / 0xfffffff808087810 / / 0x000fe20007ffe0ff / /09f0/ UIADD3.X UR7, URZ, UR7, URZ, UP0, !UPT ; / 0x000000073f077290 / / 0x000fe200087fe43f / /0a00/ IMAD R12, R20, R23, R12 ; / 0x00000017140c7224 / / 0x004fc800078e020c / /0a10/ IMAD R12, R15, R16, R12 ; / 0x000000100f0c7224 / / 0x000fc800078e020c / /0a20/ IMAD R18, R18, R19, R12 ; / 0x0000001312127224 / / 0x000fe400078e020c / /0a30/ ISETP.NE.OR P0, PT, R8, RZ, P0 ; / 0x000000ff0800720c / / 0x000fda0000705670 / /0a40/ @!P0 BRA 0xbe0 ; / 0x0000019000008947 / / 0x000fea0003800000 / /0a50/ MOV R10, UR6 ; / 0x00000006000a7c02 / / 0x000fe20008000f00 / /0a60/ IMAD.WIDE R12, R4, 0x4, R26 ; / 0x00000004040c7825 / / 0x000fe200078e021a / /0a70/ MOV R11, UR7 ; / 0x00000007000b7c02 / / 0x000fe20008000f00 / /0a80/ LDG.E R27, [R26.64] ; / 0x000000041a1b7981 / / 0x000ea8000c1e1900 / /0a90/ IMAD.WIDE R10, R9, 0x4, R10 ; / 0x00000004090a7825 / / 0x000fc800078e020a / /0aa0/ IMAD.WIDE R14, R4.reuse, 0x4, R12 ; / 0x00000004040e7825 / / 0x040fe200078e020c / /0ab0/ LDG.E R19, [R10.64] ; / 0x000000040a137981 / / 0x000ea8000c1e1900 / /0ac0/ LDG.E R12, [R12.64] ; / 0x000000040c0c7981 / / 0x000ee2000c1e1900 / /0ad0/ IMAD.WIDE R16, R4, 0x4, R14 ; / 0x0000000404107825 / / 0x000fc600078e020e / /0ae0/ LDG.E R20, [R10.64+0x4] ; / 0x000004040a147981 / / 0x000ee8000c1e1900 / /0af0/ LDG.E R22, [R14.64] ; / 0x000000040e167981 / / 0x000f28000c1e1900 / /0b00/ LDG.E R21, [R10.64+0x8] ; / 0x000008040a157981 / / 0x000f28000c1e1900 / /0b10/ LDG.E R23, [R10.64+0xc] ; / 0x00000c040a177981 / / 0x000f68000c1e1900 / /0b20/ LDG.E R24, [R16.64] ; / 0x0000000410187981 / / 0x000f62000c1e1900 / /0b30/ IADD3 R8, R8, -0x4, RZ ; / 0xfffffffc08087810 / / 0x000fc80007ffe0ff / /0b40/ ISETP.NE.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe20003f05270 / /0b50/ UIADD3 UR6, UP0, UR6, 0x10, URZ ; / 0x0000001006067890 / / 0x000fe2000ff1e03f / /0b60/ IADD3 R6, R6, 0x4, RZ ; / 0x0000000406067810 / / 0x000fc60007ffe0ff / /0b70/ UIADD3.X UR7, URZ, UR7, URZ, UP0, !UPT ; / 0x000000073f077290 / / 0x000fe200087fe43f / /0b80/ IMAD R19, R27, R19, R18 ; / 0x000000131b137224 / / 0x004fc800078e0212 / /0b90/ IMAD R19, R12, R20, R19 ; / 0x000000140c137224 / / 0x008fe400078e0213 / /0ba0/ IMAD.WIDE R26, R4, 0x4, R16 ; / 0x00000004041a7825 / / 0x000fc800078e0210 / /0bb0/ IMAD R19, R22, R21, R19 ; / 0x0000001516137224 / / 0x010fc800078e0213 / /0bc0/ IMAD R18, R24, R23, R19 ; / 0x0000001718127224 / / 0x020fe200078e0213 / /0bd0/ @P0 BRA 0xa50 ; / 0xfffffe7000000947 / / 0x000fea000383ffff / /0be0/ ISETP.NE.AND P0, PT, R7, RZ, PT ; / 0x000000ff0700720c / / 0x000fda0003f05270 / /0bf0/ @!P0 BRA 0xd00 ; / 0x0000010000008947 / / 0x000fea0003800000 / /0c00/ IADD3 R3, R3, R6, RZ ; / 0x0000000603037210 / / 0x000fe20007ffe0ff / /0c10/ HFMA2.MMA R10, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff0a7435 / / 0x000fc800000001ff / /0c20/ IMAD R0, R0, c[0x0][0x0], R3 ; / 0x0000000000007a24 / / 0x000fca00078e0203 / /0c30/ IADD3 R0, -R5, R0, RZ ; / 0x0000000005007210 / / 0x000fe20007ffe1ff / /0c40/ IMAD R5, R6, c[0x0][0x178], R5 ; / 0x00005e0006057a24 / / 0x000fc800078e0205 / /0c50/ IMAD.WIDE R8, R0, R10, c[0x0][0x160] ; / 0x0000580000087625 / / 0x000fc800078e020a / /0c60/ IMAD.WIDE R10, R5, R10, c[0x0][0x168] ; / 0x00005a00050a7625 / / 0x000fca00078e020a / /0c70/ LDG.E R3, [R10.64] ; / 0x000000040a037981 / / 0x0000a8000c1e1900 / /0c80/ LDG.E R0, [R8.64] ; / 0x0000000408007981 / / 0x0002a2000c1e1900 / /0c90/ IADD3 R7, R7, -0x1, RZ ; / 0xffffffff07077810 / / 0x000fc80007ffe0ff / /0ca0/ ISETP.NE.AND P0, PT, R7, RZ, PT ; / 0x000000ff0700720c / / 0x000fe20003f05270 / /0cb0/ IMAD.WIDE R10, R4, 0x4, R10 ; / 0x00000004040a7825 / / 0x001fe200078e020a / /0cc0/ IADD3 R8, P1, R8, 0x4, RZ ; / 0x0000000408087810 / / 0x002fc80007f3e0ff / /0cd0/ IADD3.X R9, RZ, R9, RZ, P1, !PT ; / 0x00000009ff097210 / / 0x000fe20000ffe4ff / /0ce0/ IMAD R18, R3, R0, R18 ; / 0x0000000003127224 / / 0x004fcc00078e0212 / /0cf0/ @P0 BRA 0xc70 ; / 0xffffff7000000947 / / 0x000fea000383ffff / /0d00/ MOV R3, 0x4 ; / 0x0000000400037802 / / 0x000fca0000000f00 / /0d10/ IMAD.WIDE R2, R2, R3, c[0x0][0x170] ; / 0x00005c0002027625 / / 0x000fca00078e0203 / /0d20/ STG.E [R2.64], R18 ; / 0x0000001202007986 / / 0x000fe2000c101904 / /0d30/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0d40/ BRA 0xd40; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0d50/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0d60/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0d70/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0d80/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0d90/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0da0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0db0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0dc0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0dd0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0de0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0df0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z8multiplyPiS_S_i .globl _Z8multiplyPiS_S_i .p2align 8 .type _Z8multiplyPiS_S_i,@function _Z8multiplyPiS_S_i: s_clause 0x1 s_load_b32 s3, s[0:1], 0x2c s_load_b32 s2, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s3, s3, 0xffff s_cmp_lt_i32 s2, 1 v_mad_u64_u32 v[1:2], null, s15, s3, v[0:1] s_mov_b32 s3, 0 s_cbranch_scc1 .LBB0_3 s_ashr_i32 s4, s2, 31 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_ashrrev_i32_e32 v4, 31, v1 s_add_i32 s5, s2, s4 s_xor_b32 s4, s5, s4 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_add_nc_u32_e32 v3, v1, v4 v_cvt_f32_u32_e32 v0, s4 s_sub_i32 s5, 0, s4 v_xor_b32_e32 v5, v3, v4 s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_2) \| instid1(VALU_DEP_1) v_rcp_iflag_f32_e32 v0, v0 s_waitcnt_depctr 0xfff v_mul_f32_e32 v0, 0x4f7ffffe, v0 v_cvt_u32_f32_e32 v0, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_lo_u32 v2, s5, v0 v_mul_hi_u32 v2, v0, v2 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_nc_u32_e32 v0, v0, v2 v_mad_u64_u32 v[2:3], null, v5, v0, 0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_lo_u32 v0, v3, s4 v_sub_nc_u32_e32 v0, v5, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_subrev_nc_u32_e32 v2, s4, v0 v_cmp_le_u32_e32 vcc_lo, s4, v0 v_cndmask_b32_e32 v0, v0, v2, vcc_lo s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_subrev_nc_u32_e32 v2, s4, v0 v_cmp_le_u32_e32 vcc_lo, s4, v0 s_load_b128 s[4:7], s[0:1], 0x0 v_cndmask_b32_e32 v0, v0, v2, vcc_lo s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_xor_b32_e32 v0, v0, v4 v_sub_nc_u32_e32 v2, v0, v4 v_mov_b32_e32 v0, 0 s_delay_alu instid0(VALU_DEP_2) v_sub_nc_u32_e32 v4, v1, v2 .p2align 6 .LBB0_2: s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) v_add_nc_u32_e32 v5, s3, v4 v_ashrrev_i32_e32 v3, 31, v2 s_add_i32 s3, s3, 1 s_cmp_eq_u32 s2, s3 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_ashrrev_i32_e32 v6, 31, v5 v_lshlrev_b64 v[7:8], 2, v[2:3] v_add_nc_u32_e32 v2, s2, v2 s_delay_alu instid0(VALU_DEP_3) \| instskip(SKIP_1) \| instid1(VALU_DEP_3) v_lshlrev_b64 v[5:6], 2, v[5:6] s_waitcnt lgkmcnt(0) v_add_co_u32 v7, vcc_lo, s6, v7 s_delay_alu instid0(VALU_DEP_4) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_add_co_ci_u32_e32 v8, vcc_lo, s7, v8, vcc_lo v_add_co_u32 v5, vcc_lo, s4, v5 s_delay_alu instid0(VALU_DEP_4) \| instskip(SKIP_4) \| instid1(VALU_DEP_1) v_add_co_ci_u32_e32 v6, vcc_lo, s5, v6, vcc_lo global_load_b32 v3, v[7:8], off global_load_b32 v7, v[5:6], off s_waitcnt vmcnt(0) v_mad_u64_u32 v[5:6], null, v3, v7, v[0:1] v_mov_b32_e32 v0, v5 s_cbranch_scc0 .LBB0_2 s_branch .LBB0_4 .LBB0_3: v_mov_b32_e32 v0, 0 .LBB0_4: s_load_b64 s[0:1], s[0:1], 0x10 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v2, 31, v1 v_lshlrev_b64 v[1:2], 2, v[1:2] s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v1, vcc_lo, s0, v1 v_add_co_ci_u32_e32 v2, vcc_lo, s1, v2, vcc_lo global_store_b32 v[1:2], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z8multiplyPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 9 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z8multiplyPiS_S_i, .Lfunc_end0-_Z8multiplyPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z8multiplyPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z8multiplyPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 9 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }	code for sm_80 Function : _Z7zupdatePfS_fii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R3, SR_CTAID.Y ; / 0x0000000000037919 / / 0x000e280000002600 / /0020/ S2R R2, SR_TID.Y ; / 0x0000000000027919 / / 0x000e280000002200 / /0030/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e680000002500 / /0040/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e620000002100 / /0050/ IMAD R3, R3, c[0x0][0x4], R2 ; / 0x0000010003037a24 / / 0x001fca00078e0202 / /0060/ ISETP.GE.AND P0, PT, R3, c[0x0][0x178], PT ; / 0x00005e0003007a0c / / 0x000fe20003f06270 / /0070/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x002fca00078e0205 / /0080/ ISETP.GE.OR P0, PT, R0, c[0x0][0x174], P0 ; / 0x00005d0000007a0c / / 0x000fda0000706670 / /0090/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /00a0/ IMAD R5, R3, c[0x0][0x174], R0 ; / 0x00005d0003057a24 / / 0x000fe200078e0200 / /00b0/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /00c0/ IMAD.MOV.U32 R2, RZ, RZ, 0x4 ; / 0x00000004ff027424 / / 0x000fc600078e00ff / /00d0/ SHF.L.U32 R5, R5, 0x1, RZ ; / 0x0000000105057819 / / 0x000fca00000006ff / /00e0/ IMAD.WIDE R2, R5, R2, c[0x0][0x160] ; / 0x0000580005027625 / / 0x000fca00078e0202 / /00f0/ LDG.E R0, [R2.64+0x4] ; / 0x0000040402007981 / / 0x000ea8000c1e1900 / /0100/ LDG.E R4, [R2.64] ; / 0x0000000402047981 / / 0x000ee2000c1e1900 / /0110/ BSSY B0, 0x210 ; / 0x000000f000007945 / / 0x000fe20003800000 / /0120/ FMUL R7, R0, R0 ; / 0x0000000000077220 / / 0x004fc80000400000 / /0130/ FFMA R7, R4, R4, R7 ; / 0x0000000404077223 / / 0x008fc80000000007 / /0140/ MUFU.RSQ R6, R7 ; / 0x0000000700067308 / / 0x0000620000001400 / /0150/ IADD3 R8, R7, -0xd000000, RZ ; / 0xf300000007087810 / / 0x000fc80007ffe0ff / /0160/ ISETP.GT.U32.AND P0, PT, R8, 0x727fffff, PT ; / 0x727fffff0800780c / / 0x000fda0003f04070 / /0170/ @!P0 BRA 0x1c0 ; / 0x0000004000008947 / / 0x000fea0003800000 / /0180/ MOV R12, 0x1a0 ; / 0x000001a0000c7802 / / 0x003fe40000000f00 / /0190/ CALL.REL.NOINC 0x700 ; / 0x0000056000007944 / / 0x000fea0003c00000 / /01a0/ IMAD.MOV.U32 R6, RZ, RZ, R8 ; / 0x000000ffff067224 / / 0x000fe200078e0008 / /01b0/ BRA 0x200 ; / 0x0000004000007947 / / 0x000fea0003800000 / /01c0/ FMUL.FTZ R8, R7, R6 ; / 0x0000000607087220 / / 0x003fe40000410000 / /01d0/ FMUL.FTZ R6, R6, 0.5 ; / 0x3f00000006067820 / / 0x000fe40000410000 / /01e0/ FFMA R7, -R8, R8, R7 ; / 0x0000000808077223 / / 0x000fc80000000107 / /01f0/ FFMA R6, R7, R6, R8 ; / 0x0000000607067223 / / 0x000fe40000000008 / /0200/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0210/ MOV R7, c[0x0][0x170] ; / 0x00005c0000077a02 / / 0x000fe20000000f00 / /0220/ BSSY B0, 0x300 ; / 0x000000d000007945 / / 0x000fe80003800000 / /0230/ FFMA R9, R6, R7, 1 ; / 0x3f80000006097423 / / 0x000fca0000000007 / /0240/ IADD3 R6, R9, 0x1800000, RZ ; / 0x0180000009067810 / / 0x000fc80007ffe0ff / /0250/ LOP3.LUT R6, R6, 0x7f800000, RZ, 0xc0, !PT ; / 0x7f80000006067812 / / 0x000fc800078ec0ff / /0260/ ISETP.GT.U32.AND P0, PT, R6, 0x1ffffff, PT ; / 0x01ffffff0600780c / / 0x000fda0003f04070 / /0270/ @P0 BRA 0x2b0 ; / 0x0000003000000947 / / 0x000fea0003800000 / /0280/ MOV R6, 0x2a0 ; / 0x000002a000067802 / / 0x000fe40000000f00 / /0290/ CALL.REL.NOINC 0x3b0 ; / 0x0000011000007944 / / 0x000fea0003c00000 / /02a0/ BRA 0x2f0 ; / 0x0000004000007947 / / 0x000fea0003800000 / /02b0/ MUFU.RCP R8, R9 ; / 0x0000000900087308 / / 0x000e240000001000 / /02c0/ FFMA R6, R9, R8, -1 ; / 0xbf80000009067423 / / 0x001fc80000000008 / /02d0/ FADD.FTZ R7, -R6, -RZ ; / 0x800000ff06077221 / / 0x000fc80000010100 / /02e0/ FFMA R8, R8, R7, R8 ; / 0x0000000708087223 / / 0x000fe40000000008 / /02f0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0300/ IMAD.MOV.U32 R6, RZ, RZ, 0x4 ; / 0x00000004ff067424 / / 0x000fc800078e00ff / /0310/ IMAD.WIDE R6, R5, R6, c[0x0][0x168] ; / 0x00005a0005067625 / / 0x000fca00078e0206 / /0320/ LDG.E R5, [R6.64] ; / 0x0000000406057981 / / 0x000ea4000c1e1900 / /0330/ FFMA R5, R4, c[0x0][0x170], R5 ; / 0x00005c0004057a23 / / 0x004fc80000000005 / /0340/ FMUL R5, R5, R8 ; / 0x0000000805057220 / / 0x002fca0000400000 / /0350/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe8000c101904 / /0360/ LDG.E R9, [R6.64+0x4] ; / 0x0000040406097981 / / 0x000ea4000c1e1900 / /0370/ FFMA R9, R0, c[0x0][0x170], R9 ; / 0x00005c0000097a23 / / 0x004fc80000000009 / /0380/ FMUL R9, R9, R8 ; / 0x0000000809097220 / / 0x000fca0000400000 / /0390/ STG.E [R2.64+0x4], R9 ; / 0x0000040902007986 / / 0x000fe2000c101904 / /03a0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /03b0/ SHF.L.U32 R7, R9, 0x1, RZ ; / 0x0000000109077819 / / 0x000fe200000006ff / /03c0/ BSSY B1, 0x6e0 ; / 0x0000031000017945 / / 0x000fe60003800000 / /03d0/ SHF.R.U32.HI R13, RZ, 0x18, R7 ; / 0x00000018ff0d7819 / / 0x000fe20000011607 / /03e0/ IMAD.MOV.U32 R7, RZ, RZ, R9 ; / 0x000000ffff077224 / / 0x000fc600078e0009 / /03f0/ ISETP.NE.U32.AND P0, PT, R13, RZ, PT ; / 0x000000ff0d00720c / / 0x000fda0003f05070 / /0400/ @P0 BRA 0x4b0 ; / 0x000000a000000947 / / 0x000fea0003800000 / /0410/ SHF.L.U32 R8, R7, 0x1, RZ ; / 0x0000000107087819 / / 0x000fc800000006ff / /0420/ ISETP.NE.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fda0003f05270 / /0430/ @P0 FFMA R9, R7, 1.84467440737095516160e+19, RZ ; / 0x5f80000007090823 / / 0x000fe200000000ff / /0440/ @!P0 MUFU.RCP R8, R7 ; / 0x0000000700088308 / / 0x000ff00000001000 / /0450/ @P0 MUFU.RCP R10, R9 ; / 0x00000009000a0308 / / 0x000e240000001000 / /0460/ @P0 FFMA R11, R9, R10, -1 ; / 0xbf800000090b0423 / / 0x001fc8000000000a / /0470/ @P0 FADD.FTZ R11, -R11, -RZ ; / 0x800000ff0b0b0221 / / 0x000fc80000010100 / /0480/ @P0 FFMA R11, R10, R11, R10 ; / 0x0000000b0a0b0223 / / 0x000fc8000000000a / /0490/ @P0 FFMA R8, R11, 1.84467440737095516160e+19, RZ ; / 0x5f8000000b080823 / / 0x000fe200000000ff / /04a0/ BRA 0x6d0 ; / 0x0000022000007947 / / 0x000fea0003800000 / /04b0/ IADD3 R15, R13, -0xfd, RZ ; / 0xffffff030d0f7810 / / 0x000fc80007ffe0ff / /04c0/ ISETP.GT.U32.AND P0, PT, R15, 0x1, PT ; / 0x000000010f00780c / / 0x000fda0003f04070 / /04d0/ @P0 BRA 0x6c0 ; / 0x000001e000000947 / / 0x000fea0003800000 / /04e0/ LOP3.LUT R8, R7, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff07087812 / / 0x000fe200078ec0ff / /04f0/ IMAD.MOV.U32 R12, RZ, RZ, 0x3 ; / 0x00000003ff0c7424 / / 0x000fc600078e00ff / /0500/ LOP3.LUT R8, R8, 0x3f800000, RZ, 0xfc, !PT ; / 0x3f80000008087812 / / 0x000fe400078efcff / /0510/ SHF.L.U32 R12, R12, R15, RZ ; / 0x0000000f0c0c7219 / / 0x000fe400000006ff / /0520/ MUFU.RCP R9, R8 ; / 0x0000000800097308 / / 0x000e240000001000 / /0530/ FFMA R10, R8, R9, -1 ; / 0xbf800000080a7423 / / 0x001fc80000000009 / /0540/ FADD.FTZ R10, -R10, -RZ ; / 0x800000ff0a0a7221 / / 0x000fc80000010100 / /0550/ FFMA.RM R11, R9.reuse, R10.reuse, R9.reuse ; / 0x0000000a090b7223 / / 0x1c0fe40000004009 / /0560/ FFMA.RP R10, R9, R10, R9 ; / 0x0000000a090a7223 / / 0x000fc60000008009 / /0570/ LOP3.LUT R9, R11.reuse, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff0b097812 / / 0x040fe400078ec0ff / /0580/ FSETP.NEU.FTZ.AND P0, PT, R11, R10, PT ; / 0x0000000a0b00720b / / 0x000fe40003f1d000 / /0590/ LOP3.LUT R9, R9, 0x800000, RZ, 0xfc, !PT ; / 0x0080000009097812 / / 0x000fe400078efcff / /05a0/ SEL R10, RZ, 0xffffffff, !P0 ; / 0xffffffffff0a7807 / / 0x000fe40004000000 / /05b0/ LOP3.LUT R12, R12, R9, RZ, 0xc0, !PT ; / 0x000000090c0c7212 / / 0x000fe400078ec0ff / /05c0/ IADD3 R10, -R10, RZ, RZ ; / 0x000000ff0a0a7210 / / 0x000fc40007ffe1ff / /05d0/ SHF.R.U32.HI R12, RZ, R15.reuse, R12 ; / 0x0000000fff0c7219 / / 0x080fe4000001160c / /05e0/ LOP3.LUT P1, RZ, R10, R15, R9, 0xf8, !PT ; / 0x0000000f0aff7212 / / 0x000fe4000782f809 / /05f0/ LOP3.LUT P0, RZ, R12.reuse, 0x1, RZ, 0xc0, !PT ; / 0x000000010cff7812 / / 0x040fe4000780c0ff / /0600/ LOP3.LUT P2, RZ, R12, 0x2, RZ, 0xc0, !PT ; / 0x000000020cff7812 / / 0x000fc8000784c0ff / /0610/ PLOP3.LUT P0, PT, P0, P1, P2, 0xe0, 0x0 ; / 0x000000000000781c / / 0x000fe40000703c20 / /0620/ LOP3.LUT P1, RZ, R7, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff07ff7812 / / 0x000fe4000782c0ff / /0630/ SEL R8, RZ, 0x1, !P0 ; / 0x00000001ff087807 / / 0x000fca0004000000 / /0640/ IMAD.MOV R8, RZ, RZ, -R8 ; / 0x000000ffff087224 / / 0x000fca00078e0a08 / /0650/ ISETP.GE.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe40003f06270 / /0660/ IADD3 R8, R13, -0xfc, RZ ; / 0xffffff040d087810 / / 0x000fc80007ffe0ff / /0670/ SHF.R.U32.HI R8, RZ, R8, R9 ; / 0x00000008ff087219 / / 0x000fce0000011609 / /0680/ @!P0 IADD3 R8, R8, 0x1, RZ ; / 0x0000000108088810 / / 0x000fc80007ffe0ff / /0690/ @!P1 SHF.L.U32 R8, R8, 0x1, RZ ; / 0x0000000108089819 / / 0x000fc800000006ff / /06a0/ LOP3.LUT R8, R8, 0x80000000, R7, 0xf8, !PT ; / 0x8000000008087812 / / 0x000fe200078ef807 / /06b0/ BRA 0x6d0 ; / 0x0000001000007947 / / 0x000fea0003800000 / /06c0/ MUFU.RCP R8, R7 ; / 0x0000000700087308 / / 0x0000640000001000 / /06d0/ BSYNC B1 ; / 0x0000000000017941 / / 0x000fea0003800000 / /06e0/ IMAD.MOV.U32 R7, RZ, RZ, 0x0 ; / 0x00000000ff077424 / / 0x001fc800078e00ff / /06f0/ RET.REL.NODEC R6 0x0 ; / 0xfffff90006007950 / / 0x000fea0003c3ffff / /0700/ LOP3.LUT P0, RZ, R7, 0x7fffffff, RZ, 0xc0, !PT ; / 0x7fffffff07ff7812 / / 0x000fda000780c0ff / /0710/ @!P0 MOV R6, R7 ; / 0x0000000700068202 / / 0x000fe20000000f00 / /0720/ @!P0 BRA 0x830 ; / 0x0000010000008947 / / 0x000fea0003800000 / /0730/ FSETP.GEU.FTZ.AND P0, PT, R7, RZ, PT ; / 0x000000ff0700720b / / 0x000fda0003f1e000 / /0740/ @!P0 IMAD.MOV.U32 R6, RZ, RZ, 0x7fffffff ; / 0x7fffffffff068424 / / 0x000fe200078e00ff / /0750/ @!P0 BRA 0x830 ; / 0x000000d000008947 / / 0x000fea0003800000 / /0760/ FSETP.GTU.FTZ.AND P0, PT, \|R7\|, +INF , PT ; / 0x7f8000000700780b / / 0x000fda0003f1c200 / /0770/ @P0 FADD.FTZ R6, R7, 1 ; / 0x3f80000007060421 / / 0x000fe20000010000 / /0780/ @P0 BRA 0x830 ; / 0x000000a000000947 / / 0x000fea0003800000 / /0790/ FSETP.NEU.FTZ.AND P0, PT, \|R7\|, +INF , PT ; / 0x7f8000000700780b / / 0x000fda0003f1d200 / /07a0/ @P0 FFMA R8, R7, 1.84467440737095516160e+19, RZ ; / 0x5f80000007080823 / / 0x000fc800000000ff / /07b0/ @P0 MUFU.RSQ R9, R8 ; / 0x0000000800090308 / / 0x000e240000001400 / /07c0/ @P0 FMUL.FTZ R11, R8, R9 ; / 0x00000009080b0220 / / 0x001fe40000410000 / /07d0/ @P0 FMUL.FTZ R9, R9, 0.5 ; / 0x3f00000009090820 / / 0x000fe40000410000 / /07e0/ @P0 FADD.FTZ R6, -R11, -RZ ; / 0x800000ff0b060221 / / 0x000fc80000010100 / /07f0/ @P0 FFMA R10, R11, R6, R8 ; / 0x000000060b0a0223 / / 0x000fe20000000008 / /0800/ @!P0 MOV R6, R7 ; / 0x0000000700068202 / / 0x000fc60000000f00 / /0810/ @P0 FFMA R9, R10, R9, R11 ; / 0x000000090a090223 / / 0x000fc8000000000b / /0820/ @P0 FMUL.FTZ R6, R9, 2.3283064365386962891e-10 ; / 0x2f80000009060820 / / 0x000fc80000410000 / /0830/ IMAD.MOV.U32 R8, RZ, RZ, R6 ; / 0x000000ffff087224 / / 0x000fe200078e0006 / /0840/ MOV R6, R12 ; / 0x0000000c00067202 / / 0x000fe20000000f00 / /0850/ IMAD.MOV.U32 R7, RZ, RZ, 0x0 ; / 0x00000000ff077424 / / 0x000fc800078e00ff / /0860/ RET.REL.NODEC R6 0x0 ; / 0xfffff79006007950 / / 0x000fea0003c3ffff / /0870/ BRA 0x870; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0880/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0890/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }	.file "tmpxft_0008a45d_00000000-6_zupdate.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii .type _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii, @function _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movss %xmm0, 12(%rsp) movl %edx, 8(%rsp) movl %ecx, 4(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) leaq 4(%rsp), %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z7zupdatePfS_fii(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii, .-_Z31__device_stub__Z7zupdatePfS_fiiPfS_fii .globl _Z7zupdatePfS_fii .type _Z7zupdatePfS_fii, @function _Z7zupdatePfS_fii: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z7zupdatePfS_fii, .-_Z7zupdatePfS_fii .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z7zupdatePfS_fii" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z7zupdatePfS_fii(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }	#include <hip/hip_runtime.h> #include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> #include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z7zupdatePfS_fii .globl _Z7zupdatePfS_fii .p2align 8 .type _Z7zupdatePfS_fii,@function _Z7zupdatePfS_fii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b64 s[4:5], s[0:1], 0x14 v_and_b32_e32 v2, 0x3ff, v0 v_bfe_u32 v3, v0, 10, 10 s_waitcnt lgkmcnt(0) s_and_b32 s3, s2, 0xffff s_lshr_b32 s2, s2, 16 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_mad_u64_u32 v[0:1], null, s14, s3, v[2:3] v_mad_u64_u32 v[1:2], null, s15, s2, v[3:4] v_cmp_gt_i32_e32 vcc_lo, s4, v0 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_gt_i32_e64 s2, s5, v1 s_and_b32 s2, vcc_lo, s2 s_delay_alu instid0(SALU_CYCLE_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_2 v_mul_lo_u32 v1, v1, s4 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b32 s1, s[0:1], 0x10 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_lshl_u32 v0, v1, v0, 1 v_or_b32_e32 v2, 1, v0 v_ashrrev_i32_e32 v1, 31, v0 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_ashrrev_i32_e32 v3, 31, v2 v_lshlrev_b64 v[0:1], 2, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[2:3], 2, v[2:3] s_waitcnt lgkmcnt(0) v_add_co_u32 v4, vcc_lo, s4, v2 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_4) v_add_co_ci_u32_e32 v5, vcc_lo, s5, v3, vcc_lo v_add_co_u32 v6, vcc_lo, s4, v0 v_add_co_ci_u32_e32 v7, vcc_lo, s5, v1, vcc_lo v_add_co_u32 v0, vcc_lo, s6, v0 s_clause 0x1 global_load_b32 v8, v[4:5], off global_load_b32 v9, v[6:7], off v_add_co_ci_u32_e32 v1, vcc_lo, s7, v1, vcc_lo global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(2) v_mul_f32_e32 v1, v8, v8 s_waitcnt vmcnt(1) s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_fmac_f32_e32 v1, v9, v9 s_waitcnt vmcnt(0) v_fmac_f32_e32 v0, s1, v9 v_mul_f32_e32 v10, 0x4f800000, v1 v_cmp_gt_f32_e32 vcc_lo, 0xf800000, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cndmask_b32_e32 v1, v1, v10, vcc_lo v_sqrt_f32_e32 v10, v1 s_waitcnt_depctr 0xfff v_add_nc_u32_e32 v11, -1, v10 v_add_nc_u32_e32 v12, 1, v10 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_fma_f32 v13, -v11, v10, v1 v_fma_f32 v14, -v12, v10, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_ge_f32_e64 s0, 0, v13 v_cndmask_b32_e64 v10, v10, v11, s0 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_lt_f32_e64 s0, 0, v14 v_cndmask_b32_e64 v10, v10, v12, s0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_f32_e32 v11, 0x37800000, v10 v_cndmask_b32_e32 v10, v10, v11, vcc_lo v_cmp_class_f32_e64 vcc_lo, v1, 0x260 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cndmask_b32_e32 v1, v10, v1, vcc_lo v_fma_f32 v1, v1, s1, 1.0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_div_scale_f32 v10, null, v1, v1, 1.0 v_div_scale_f32 v13, vcc_lo, 1.0, v1, 1.0 v_rcp_f32_e32 v11, v10 s_waitcnt_depctr 0xfff v_fma_f32 v12, -v10, v11, 1.0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fmac_f32_e32 v11, v12, v11 v_mul_f32_e32 v12, v13, v11 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v14, -v10, v12, v13 v_fmac_f32_e32 v12, v14, v11 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v10, -v10, v12, v13 v_div_fmas_f32 v10, v10, v11, v12 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_div_fixup_f32 v9, v10, v1, 1.0 v_mul_f32_e32 v10, v0, v9 v_add_co_u32 v0, vcc_lo, s6, v2 v_add_co_ci_u32_e32 v1, vcc_lo, s7, v3, vcc_lo global_store_b32 v[6:7], v10, off global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) v_fmac_f32_e32 v0, s1, v8 s_delay_alu instid0(VALU_DEP_1) v_mul_f32_e32 v0, v0, v9 global_store_b32 v[4:5], v0, off .LBB0_2: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z7zupdatePfS_fii .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 1 .amdhsa_next_free_vgpr 15 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z7zupdatePfS_fii, .Lfunc_end0-_Z7zupdatePfS_fii .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: by_value - .offset: 20 .size: 4 .value_kind: by_value - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z7zupdatePfS_fii .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z7zupdatePfS_fii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 15 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include "includes.h" __global__ void zupdate(float z, float z0, float tau, int nx, int ny) { int x = blockIdx.x * blockDim.x + threadIdx.x; int y = blockIdx.y * blockDim.y + threadIdx.y; int idx = x + ynx; if (x<nx && y<ny) { float a = z[2 idx + 0]; float b = z[2 * idx + 1]; float t = 1 / (1 + tausqrtf(aa + bb)); z[2 idx + 0] = (z0[2 * idx + 0] + tauz[2 idx + 0])t; z[2 idx + 1] = (z0[2 * idx + 1] + tauz[2 idx + 1])*t; } }	.text .file "zupdate.hip" .globl _Z22__device_stub__zupdatePfS_fii # -- Begin function _Z22__device_stub__zupdatePfS_fii .p2align 4, 0x90 .type _Z22__device_stub__zupdatePfS_fii,@function _Z22__device_stub__zupdatePfS_fii: # @_Z22__device_stub__zupdatePfS_fii .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movss %xmm0, 12(%rsp) movl %edx, 8(%rsp) movl %ecx, 4(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 8(%rsp), %rax movq %rax, 104(%rsp) leaq 4(%rsp), %rax movq %rax, 112(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z7zupdatePfS_fii, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size _Z22__device_stub__zupdatePfS_fii, .Lfunc_end0-_Z22__device_stub__zupdatePfS_fii .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z7zupdatePfS_fii, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z7zupdatePfS_fii,@object # @_Z7zupdatePfS_fii .section .rodata,"a",@progbits .globl _Z7zupdatePfS_fii .p2align 3, 0x0 _Z7zupdatePfS_fii: .quad _Z22__device_stub__zupdatePfS_fii .size _Z7zupdatePfS_fii, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z7zupdatePfS_fii" .size .L__unnamed_1, 18 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z22__device_stub__zupdatePfS_fii .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z7zupdatePfS_fii .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z7zupdatePfS_fii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R3, SR_CTAID.Y ; / 0x0000000000037919 / / 0x000e280000002600 / /0020/ S2R R2, SR_TID.Y ; / 0x0000000000027919 / / 0x000e280000002200 / /0030/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e680000002500 / /0040/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e620000002100 / /0050/ IMAD R3, R3, c[0x0][0x4], R2 ; / 0x0000010003037a24 / / 0x001fca00078e0202 / /0060/ ISETP.GE.AND P0, PT, R3, c[0x0][0x178], PT ; / 0x00005e0003007a0c / / 0x000fe20003f06270 / /0070/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x002fca00078e0205 / /0080/ ISETP.GE.OR P0, PT, R0, c[0x0][0x174], P0 ; / 0x00005d0000007a0c / / 0x000fda0000706670 / /0090/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /00a0/ IMAD R5, R3, c[0x0][0x174], R0 ; / 0x00005d0003057a24 / / 0x000fe200078e0200 / /00b0/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /00c0/ IMAD.MOV.U32 R2, RZ, RZ, 0x4 ; / 0x00000004ff027424 / / 0x000fc600078e00ff / /00d0/ SHF.L.U32 R5, R5, 0x1, RZ ; / 0x0000000105057819 / / 0x000fca00000006ff / /00e0/ IMAD.WIDE R2, R5, R2, c[0x0][0x160] ; / 0x0000580005027625 / / 0x000fca00078e0202 / /00f0/ LDG.E R0, [R2.64+0x4] ; / 0x0000040402007981 / / 0x000ea8000c1e1900 / /0100/ LDG.E R4, [R2.64] ; / 0x0000000402047981 / / 0x000ee2000c1e1900 / /0110/ BSSY B0, 0x210 ; / 0x000000f000007945 / / 0x000fe20003800000 / /0120/ FMUL R7, R0, R0 ; / 0x0000000000077220 / / 0x004fc80000400000 / /0130/ FFMA R7, R4, R4, R7 ; / 0x0000000404077223 / / 0x008fc80000000007 / /0140/ MUFU.RSQ R6, R7 ; / 0x0000000700067308 / / 0x0000620000001400 / /0150/ IADD3 R8, R7, -0xd000000, RZ ; / 0xf300000007087810 / / 0x000fc80007ffe0ff / /0160/ ISETP.GT.U32.AND P0, PT, R8, 0x727fffff, PT ; / 0x727fffff0800780c / / 0x000fda0003f04070 / /0170/ @!P0 BRA 0x1c0 ; / 0x0000004000008947 / / 0x000fea0003800000 / /0180/ MOV R12, 0x1a0 ; / 0x000001a0000c7802 / / 0x003fe40000000f00 / /0190/ CALL.REL.NOINC 0x700 ; / 0x0000056000007944 / / 0x000fea0003c00000 / /01a0/ IMAD.MOV.U32 R6, RZ, RZ, R8 ; / 0x000000ffff067224 / / 0x000fe200078e0008 / /01b0/ BRA 0x200 ; / 0x0000004000007947 / / 0x000fea0003800000 / /01c0/ FMUL.FTZ R8, R7, R6 ; / 0x0000000607087220 / / 0x003fe40000410000 / /01d0/ FMUL.FTZ R6, R6, 0.5 ; / 0x3f00000006067820 / / 0x000fe40000410000 / /01e0/ FFMA R7, -R8, R8, R7 ; / 0x0000000808077223 / / 0x000fc80000000107 / /01f0/ FFMA R6, R7, R6, R8 ; / 0x0000000607067223 / / 0x000fe40000000008 / /0200/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0210/ MOV R7, c[0x0][0x170] ; / 0x00005c0000077a02 / / 0x000fe20000000f00 / /0220/ BSSY B0, 0x300 ; / 0x000000d000007945 / / 0x000fe80003800000 / /0230/ FFMA R9, R6, R7, 1 ; / 0x3f80000006097423 / / 0x000fca0000000007 / /0240/ IADD3 R6, R9, 0x1800000, RZ ; / 0x0180000009067810 / / 0x000fc80007ffe0ff / /0250/ LOP3.LUT R6, R6, 0x7f800000, RZ, 0xc0, !PT ; / 0x7f80000006067812 / / 0x000fc800078ec0ff / /0260/ ISETP.GT.U32.AND P0, PT, R6, 0x1ffffff, PT ; / 0x01ffffff0600780c / / 0x000fda0003f04070 / /0270/ @P0 BRA 0x2b0 ; / 0x0000003000000947 / / 0x000fea0003800000 / /0280/ MOV R6, 0x2a0 ; / 0x000002a000067802 / / 0x000fe40000000f00 / /0290/ CALL.REL.NOINC 0x3b0 ; / 0x0000011000007944 / / 0x000fea0003c00000 / /02a0/ BRA 0x2f0 ; / 0x0000004000007947 / / 0x000fea0003800000 / /02b0/ MUFU.RCP R8, R9 ; / 0x0000000900087308 / / 0x000e240000001000 / /02c0/ FFMA R6, R9, R8, -1 ; / 0xbf80000009067423 / / 0x001fc80000000008 / /02d0/ FADD.FTZ R7, -R6, -RZ ; / 0x800000ff06077221 / / 0x000fc80000010100 / /02e0/ FFMA R8, R8, R7, R8 ; / 0x0000000708087223 / / 0x000fe40000000008 / /02f0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0300/ IMAD.MOV.U32 R6, RZ, RZ, 0x4 ; / 0x00000004ff067424 / / 0x000fc800078e00ff / /0310/ IMAD.WIDE R6, R5, R6, c[0x0][0x168] ; / 0x00005a0005067625 / / 0x000fca00078e0206 / /0320/ LDG.E R5, [R6.64] ; / 0x0000000406057981 / / 0x000ea4000c1e1900 / /0330/ FFMA R5, R4, c[0x0][0x170], R5 ; / 0x00005c0004057a23 / / 0x004fc80000000005 / /0340/ FMUL R5, R5, R8 ; / 0x0000000805057220 / / 0x002fca0000400000 / /0350/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe8000c101904 / /0360/ LDG.E R9, [R6.64+0x4] ; / 0x0000040406097981 / / 0x000ea4000c1e1900 / /0370/ FFMA R9, R0, c[0x0][0x170], R9 ; / 0x00005c0000097a23 / / 0x004fc80000000009 / /0380/ FMUL R9, R9, R8 ; / 0x0000000809097220 / / 0x000fca0000400000 / /0390/ STG.E [R2.64+0x4], R9 ; / 0x0000040902007986 / / 0x000fe2000c101904 / /03a0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /03b0/ SHF.L.U32 R7, R9, 0x1, RZ ; / 0x0000000109077819 / / 0x000fe200000006ff / /03c0/ BSSY B1, 0x6e0 ; / 0x0000031000017945 / / 0x000fe60003800000 / /03d0/ SHF.R.U32.HI R13, RZ, 0x18, R7 ; / 0x00000018ff0d7819 / / 0x000fe20000011607 / /03e0/ IMAD.MOV.U32 R7, RZ, RZ, R9 ; / 0x000000ffff077224 / / 0x000fc600078e0009 / /03f0/ ISETP.NE.U32.AND P0, PT, R13, RZ, PT ; / 0x000000ff0d00720c / / 0x000fda0003f05070 / /0400/ @P0 BRA 0x4b0 ; / 0x000000a000000947 / / 0x000fea0003800000 / /0410/ SHF.L.U32 R8, R7, 0x1, RZ ; / 0x0000000107087819 / / 0x000fc800000006ff / /0420/ ISETP.NE.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fda0003f05270 / /0430/ @P0 FFMA R9, R7, 1.84467440737095516160e+19, RZ ; / 0x5f80000007090823 / / 0x000fe200000000ff / /0440/ @!P0 MUFU.RCP R8, R7 ; / 0x0000000700088308 / / 0x000ff00000001000 / /0450/ @P0 MUFU.RCP R10, R9 ; / 0x00000009000a0308 / / 0x000e240000001000 / /0460/ @P0 FFMA R11, R9, R10, -1 ; / 0xbf800000090b0423 / / 0x001fc8000000000a / /0470/ @P0 FADD.FTZ R11, -R11, -RZ ; / 0x800000ff0b0b0221 / / 0x000fc80000010100 / /0480/ @P0 FFMA R11, R10, R11, R10 ; / 0x0000000b0a0b0223 / / 0x000fc8000000000a / /0490/ @P0 FFMA R8, R11, 1.84467440737095516160e+19, RZ ; / 0x5f8000000b080823 / / 0x000fe200000000ff / /04a0/ BRA 0x6d0 ; / 0x0000022000007947 / / 0x000fea0003800000 / /04b0/ IADD3 R15, R13, -0xfd, RZ ; / 0xffffff030d0f7810 / / 0x000fc80007ffe0ff / /04c0/ ISETP.GT.U32.AND P0, PT, R15, 0x1, PT ; / 0x000000010f00780c / / 0x000fda0003f04070 / /04d0/ @P0 BRA 0x6c0 ; / 0x000001e000000947 / / 0x000fea0003800000 / /04e0/ LOP3.LUT R8, R7, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff07087812 / / 0x000fe200078ec0ff / /04f0/ IMAD.MOV.U32 R12, RZ, RZ, 0x3 ; / 0x00000003ff0c7424 / / 0x000fc600078e00ff / /0500/ LOP3.LUT R8, R8, 0x3f800000, RZ, 0xfc, !PT ; / 0x3f80000008087812 / / 0x000fe400078efcff / /0510/ SHF.L.U32 R12, R12, R15, RZ ; / 0x0000000f0c0c7219 / / 0x000fe400000006ff / /0520/ MUFU.RCP R9, R8 ; / 0x0000000800097308 / / 0x000e240000001000 / /0530/ FFMA R10, R8, R9, -1 ; / 0xbf800000080a7423 / / 0x001fc80000000009 / /0540/ FADD.FTZ R10, -R10, -RZ ; / 0x800000ff0a0a7221 / / 0x000fc80000010100 / /0550/ FFMA.RM R11, R9.reuse, R10.reuse, R9.reuse ; / 0x0000000a090b7223 / / 0x1c0fe40000004009 / /0560/ FFMA.RP R10, R9, R10, R9 ; / 0x0000000a090a7223 / / 0x000fc60000008009 / /0570/ LOP3.LUT R9, R11.reuse, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff0b097812 / / 0x040fe400078ec0ff / /0580/ FSETP.NEU.FTZ.AND P0, PT, R11, R10, PT ; / 0x0000000a0b00720b / / 0x000fe40003f1d000 / /0590/ LOP3.LUT R9, R9, 0x800000, RZ, 0xfc, !PT ; / 0x0080000009097812 / / 0x000fe400078efcff / /05a0/ SEL R10, RZ, 0xffffffff, !P0 ; / 0xffffffffff0a7807 / / 0x000fe40004000000 / /05b0/ LOP3.LUT R12, R12, R9, RZ, 0xc0, !PT ; / 0x000000090c0c7212 / / 0x000fe400078ec0ff / /05c0/ IADD3 R10, -R10, RZ, RZ ; / 0x000000ff0a0a7210 / / 0x000fc40007ffe1ff / /05d0/ SHF.R.U32.HI R12, RZ, R15.reuse, R12 ; / 0x0000000fff0c7219 / / 0x080fe4000001160c / /05e0/ LOP3.LUT P1, RZ, R10, R15, R9, 0xf8, !PT ; / 0x0000000f0aff7212 / / 0x000fe4000782f809 / /05f0/ LOP3.LUT P0, RZ, R12.reuse, 0x1, RZ, 0xc0, !PT ; / 0x000000010cff7812 / / 0x040fe4000780c0ff / /0600/ LOP3.LUT P2, RZ, R12, 0x2, RZ, 0xc0, !PT ; / 0x000000020cff7812 / / 0x000fc8000784c0ff / /0610/ PLOP3.LUT P0, PT, P0, P1, P2, 0xe0, 0x0 ; / 0x000000000000781c / / 0x000fe40000703c20 / /0620/ LOP3.LUT P1, RZ, R7, 0x7fffff, RZ, 0xc0, !PT ; / 0x007fffff07ff7812 / / 0x000fe4000782c0ff / /0630/ SEL R8, RZ, 0x1, !P0 ; / 0x00000001ff087807 / / 0x000fca0004000000 / /0640/ IMAD.MOV R8, RZ, RZ, -R8 ; / 0x000000ffff087224 / / 0x000fca00078e0a08 / /0650/ ISETP.GE.AND P0, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe40003f06270 / /0660/ IADD3 R8, R13, -0xfc, RZ ; / 0xffffff040d087810 / / 0x000fc80007ffe0ff / /0670/ SHF.R.U32.HI R8, RZ, R8, R9 ; / 0x00000008ff087219 / / 0x000fce0000011609 / /0680/ @!P0 IADD3 R8, R8, 0x1, RZ ; / 0x0000000108088810 / / 0x000fc80007ffe0ff / /0690/ @!P1 SHF.L.U32 R8, R8, 0x1, RZ ; / 0x0000000108089819 / / 0x000fc800000006ff / /06a0/ LOP3.LUT R8, R8, 0x80000000, R7, 0xf8, !PT ; / 0x8000000008087812 / / 0x000fe200078ef807 / /06b0/ BRA 0x6d0 ; / 0x0000001000007947 / / 0x000fea0003800000 / /06c0/ MUFU.RCP R8, R7 ; / 0x0000000700087308 / / 0x0000640000001000 / /06d0/ BSYNC B1 ; / 0x0000000000017941 / / 0x000fea0003800000 / /06e0/ IMAD.MOV.U32 R7, RZ, RZ, 0x0 ; / 0x00000000ff077424 / / 0x001fc800078e00ff / /06f0/ RET.REL.NODEC R6 0x0 ; / 0xfffff90006007950 / / 0x000fea0003c3ffff / /0700/ LOP3.LUT P0, RZ, R7, 0x7fffffff, RZ, 0xc0, !PT ; / 0x7fffffff07ff7812 / / 0x000fda000780c0ff / /0710/ @!P0 MOV R6, R7 ; / 0x0000000700068202 / / 0x000fe20000000f00 / /0720/ @!P0 BRA 0x830 ; / 0x0000010000008947 / / 0x000fea0003800000 / /0730/ FSETP.GEU.FTZ.AND P0, PT, R7, RZ, PT ; / 0x000000ff0700720b / / 0x000fda0003f1e000 / /0740/ @!P0 IMAD.MOV.U32 R6, RZ, RZ, 0x7fffffff ; / 0x7fffffffff068424 / / 0x000fe200078e00ff / /0750/ @!P0 BRA 0x830 ; / 0x000000d000008947 / / 0x000fea0003800000 / /0760/ FSETP.GTU.FTZ.AND P0, PT, \|R7\|, +INF , PT ; / 0x7f8000000700780b / / 0x000fda0003f1c200 / /0770/ @P0 FADD.FTZ R6, R7, 1 ; / 0x3f80000007060421 / / 0x000fe20000010000 / /0780/ @P0 BRA 0x830 ; / 0x000000a000000947 / / 0x000fea0003800000 / /0790/ FSETP.NEU.FTZ.AND P0, PT, \|R7\|, +INF , PT ; / 0x7f8000000700780b / / 0x000fda0003f1d200 / /07a0/ @P0 FFMA R8, R7, 1.84467440737095516160e+19, RZ ; / 0x5f80000007080823 / / 0x000fc800000000ff / /07b0/ @P0 MUFU.RSQ R9, R8 ; / 0x0000000800090308 / / 0x000e240000001400 / /07c0/ @P0 FMUL.FTZ R11, R8, R9 ; / 0x00000009080b0220 / / 0x001fe40000410000 / /07d0/ @P0 FMUL.FTZ R9, R9, 0.5 ; / 0x3f00000009090820 / / 0x000fe40000410000 / /07e0/ @P0 FADD.FTZ R6, -R11, -RZ ; / 0x800000ff0b060221 / / 0x000fc80000010100 / /07f0/ @P0 FFMA R10, R11, R6, R8 ; / 0x000000060b0a0223 / / 0x000fe20000000008 / /0800/ @!P0 MOV R6, R7 ; / 0x0000000700068202 / / 0x000fc60000000f00 / /0810/ @P0 FFMA R9, R10, R9, R11 ; / 0x000000090a090223 / / 0x000fc8000000000b / /0820/ @P0 FMUL.FTZ R6, R9, 2.3283064365386962891e-10 ; / 0x2f80000009060820 / / 0x000fc80000410000 / /0830/ IMAD.MOV.U32 R8, RZ, RZ, R6 ; / 0x000000ffff087224 / / 0x000fe200078e0006 / /0840/ MOV R6, R12 ; / 0x0000000c00067202 / / 0x000fe20000000f00 / /0850/ IMAD.MOV.U32 R7, RZ, RZ, 0x0 ; / 0x00000000ff077424 / / 0x000fc800078e00ff / /0860/ RET.REL.NODEC R6 0x0 ; / 0xfffff79006007950 / / 0x000fea0003c3ffff / /0870/ BRA 0x870; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0880/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0890/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /08f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z7zupdatePfS_fii .globl _Z7zupdatePfS_fii .p2align 8 .type _Z7zupdatePfS_fii,@function _Z7zupdatePfS_fii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b64 s[4:5], s[0:1], 0x14 v_and_b32_e32 v2, 0x3ff, v0 v_bfe_u32 v3, v0, 10, 10 s_waitcnt lgkmcnt(0) s_and_b32 s3, s2, 0xffff s_lshr_b32 s2, s2, 16 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_mad_u64_u32 v[0:1], null, s14, s3, v[2:3] v_mad_u64_u32 v[1:2], null, s15, s2, v[3:4] v_cmp_gt_i32_e32 vcc_lo, s4, v0 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_gt_i32_e64 s2, s5, v1 s_and_b32 s2, vcc_lo, s2 s_delay_alu instid0(SALU_CYCLE_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_2 v_mul_lo_u32 v1, v1, s4 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b32 s1, s[0:1], 0x10 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_lshl_u32 v0, v1, v0, 1 v_or_b32_e32 v2, 1, v0 v_ashrrev_i32_e32 v1, 31, v0 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_ashrrev_i32_e32 v3, 31, v2 v_lshlrev_b64 v[0:1], 2, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[2:3], 2, v[2:3] s_waitcnt lgkmcnt(0) v_add_co_u32 v4, vcc_lo, s4, v2 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_4) v_add_co_ci_u32_e32 v5, vcc_lo, s5, v3, vcc_lo v_add_co_u32 v6, vcc_lo, s4, v0 v_add_co_ci_u32_e32 v7, vcc_lo, s5, v1, vcc_lo v_add_co_u32 v0, vcc_lo, s6, v0 s_clause 0x1 global_load_b32 v8, v[4:5], off global_load_b32 v9, v[6:7], off v_add_co_ci_u32_e32 v1, vcc_lo, s7, v1, vcc_lo global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(2) v_mul_f32_e32 v1, v8, v8 s_waitcnt vmcnt(1) s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_2) v_fmac_f32_e32 v1, v9, v9 s_waitcnt vmcnt(0) v_fmac_f32_e32 v0, s1, v9 v_mul_f32_e32 v10, 0x4f800000, v1 v_cmp_gt_f32_e32 vcc_lo, 0xf800000, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cndmask_b32_e32 v1, v1, v10, vcc_lo v_sqrt_f32_e32 v10, v1 s_waitcnt_depctr 0xfff v_add_nc_u32_e32 v11, -1, v10 v_add_nc_u32_e32 v12, 1, v10 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_fma_f32 v13, -v11, v10, v1 v_fma_f32 v14, -v12, v10, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_ge_f32_e64 s0, 0, v13 v_cndmask_b32_e64 v10, v10, v11, s0 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cmp_lt_f32_e64 s0, 0, v14 v_cndmask_b32_e64 v10, v10, v12, s0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mul_f32_e32 v11, 0x37800000, v10 v_cndmask_b32_e32 v10, v10, v11, vcc_lo v_cmp_class_f32_e64 vcc_lo, v1, 0x260 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cndmask_b32_e32 v1, v10, v1, vcc_lo v_fma_f32 v1, v1, s1, 1.0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_div_scale_f32 v10, null, v1, v1, 1.0 v_div_scale_f32 v13, vcc_lo, 1.0, v1, 1.0 v_rcp_f32_e32 v11, v10 s_waitcnt_depctr 0xfff v_fma_f32 v12, -v10, v11, 1.0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fmac_f32_e32 v11, v12, v11 v_mul_f32_e32 v12, v13, v11 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v14, -v10, v12, v13 v_fmac_f32_e32 v12, v14, v11 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v10, -v10, v12, v13 v_div_fmas_f32 v10, v10, v11, v12 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_div_fixup_f32 v9, v10, v1, 1.0 v_mul_f32_e32 v10, v0, v9 v_add_co_u32 v0, vcc_lo, s6, v2 v_add_co_ci_u32_e32 v1, vcc_lo, s7, v3, vcc_lo global_store_b32 v[6:7], v10, off global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) v_fmac_f32_e32 v0, s1, v8 s_delay_alu instid0(VALU_DEP_1) v_mul_f32_e32 v0, v0, v9 global_store_b32 v[4:5], v0, off .LBB0_2: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z7zupdatePfS_fii .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 1 .amdhsa_next_free_vgpr 15 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z7zupdatePfS_fii, .Lfunc_end0-_Z7zupdatePfS_fii .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: by_value - .offset: 20 .size: 4 .value_kind: by_value - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z7zupdatePfS_fii .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z7zupdatePfS_fii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 15 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0008a45d_00000000-6_zupdate.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii .type _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii, @function _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movss %xmm0, 12(%rsp) movl %edx, 8(%rsp) movl %ecx, 4(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) leaq 4(%rsp), %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z7zupdatePfS_fii(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii, .-_Z31__device_stub__Z7zupdatePfS_fiiPfS_fii .globl _Z7zupdatePfS_fii .type _Z7zupdatePfS_fii, @function _Z7zupdatePfS_fii: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z31__device_stub__Z7zupdatePfS_fiiPfS_fii addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z7zupdatePfS_fii, .-_Z7zupdatePfS_fii .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z7zupdatePfS_fii" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z7zupdatePfS_fii(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "zupdate.hip" .globl _Z22__device_stub__zupdatePfS_fii # -- Begin function _Z22__device_stub__zupdatePfS_fii .p2align 4, 0x90 .type _Z22__device_stub__zupdatePfS_fii,@function _Z22__device_stub__zupdatePfS_fii: # @_Z22__device_stub__zupdatePfS_fii .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movss %xmm0, 12(%rsp) movl %edx, 8(%rsp) movl %ecx, 4(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 8(%rsp), %rax movq %rax, 104(%rsp) leaq 4(%rsp), %rax movq %rax, 112(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z7zupdatePfS_fii, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size _Z22__device_stub__zupdatePfS_fii, .Lfunc_end0-_Z22__device_stub__zupdatePfS_fii .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z7zupdatePfS_fii, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z7zupdatePfS_fii,@object # @_Z7zupdatePfS_fii .section .rodata,"a",@progbits .globl _Z7zupdatePfS_fii .p2align 3, 0x0 _Z7zupdatePfS_fii: .quad _Z22__device_stub__zupdatePfS_fii .size _Z7zupdatePfS_fii, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z7zupdatePfS_fii" .size .L__unnamed_1, 18 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z22__device_stub__zupdatePfS_fii .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z7zupdatePfS_fii .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	/* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif	code for sm_80 Function : testMemset .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R0, SR_CTAID.Y ; / 0x0000000000007919 / / 0x000e280000002600 / /0020/ S2R R3, SR_CTAID.X ; / 0x0000000000037919 / / 0x000e280000002500 / /0030/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e620000002100 / /0040/ IMAD R0, R0, c[0x0][0xc], R3 ; / 0x0000030000007a24 / / 0x001fc800078e0203 / /0050/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x002fca00078e0205 / /0060/ ISETP.GE.AND P0, PT, R0, c[0x0][0x16c], PT ; / 0x00005b0000007a0c / / 0x000fda0003f06270 / /0070/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0080/ HFMA2.MMA R3, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff037435 / / 0x000fe200000001ff / /0090/ MOV R5, c[0x0][0x168] ; / 0x00005a0000057a02 / / 0x000fe20000000f00 / /00a0/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fd00000000a00 / /00b0/ IMAD.WIDE R2, R0, R3, c[0x0][0x160] ; / 0x0000580000027625 / / 0x000fca00078e0203 / /00c0/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /00d0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00e0/ BRA 0xe0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif	.file "tmpxft_0011bfb4_00000000-6_module_test.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z32__device_stub__Z10testMemsetPffiPffi .type _Z32__device_stub__Z10testMemsetPffiPffi, @function _Z32__device_stub__Z10testMemsetPffiPffi: .LFB2051: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movss %xmm0, 4(%rsp) movl %esi, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) leaq 4(%rsp), %rax movq %rax, 88(%rsp) movq %rsp, %rax movq %rax, 96(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 104(%rsp), %rax subq %fs:40, %rax jne .L8 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq testMemset(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z32__device_stub__Z10testMemsetPffiPffi, .-_Z32__device_stub__Z10testMemsetPffiPffi .globl testMemset .type testMemset, @function testMemset: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z10testMemsetPffiPffi addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size testMemset, .-testMemset .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "testMemset" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq testMemset(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif	#include <hip/hip_runtime.h> /* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> /* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected testMemset .globl testMemset .p2align 8 .type testMemset,@function testMemset: s_clause 0x1 s_load_b64 s[2:3], s[0:1], 0xc s_load_b32 s4, s[0:1], 0x1c s_waitcnt lgkmcnt(0) s_mul_i32 s3, s3, s15 s_and_b32 s4, s4, 0xffff s_add_i32 s3, s3, s14 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s3, s4, v[0:1] v_cmp_gt_i32_e32 vcc_lo, s2, v1 s_and_saveexec_b32 s2, vcc_lo s_cbranch_execz .LBB0_2 s_clause 0x1 s_load_b64 s[2:3], s[0:1], 0x0 s_load_b32 s0, s[0:1], 0x8 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] s_waitcnt lgkmcnt(0) v_add_co_u32 v0, vcc_lo, s2, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v1, vcc_lo, s3, v1, vcc_lo v_mov_b32_e32 v2, s0 global_store_b32 v[0:1], v2, off .LBB0_2: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel testMemset .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 3 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size testMemset, .Lfunc_end0-testMemset .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: by_value - .offset: 12 .size: 4 .value_kind: by_value - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: testMemset .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: testMemset.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 3 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> /* * Module to test CUDA module loading and execution. * To be compiled with: * nvcc -ptx module_test.cu / #ifdef __cplusplus extern "C" { #endif /// Sets the first N elements of array to value. __global__ void testMemset(float array, float value, int N){ int i = ( blockIdx.ygridDim.x + blockIdx.x ) blockDim.x + threadIdx.x; if(i < N){ array[i] = value; } } #ifdef __cplusplus } #endif	.text .file "module_test.hip" .globl __device_stub__testMemset # -- Begin function __device_stub__testMemset .p2align 4, 0x90 .type __device_stub__testMemset,@function __device_stub__testMemset: # @__device_stub__testMemset .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movss %xmm0, 4(%rsp) movl %esi, (%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 4(%rsp), %rax movq %rax, 72(%rsp) movq %rsp, %rax movq %rax, 80(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 64(%rsp), %r9 movl $testMemset, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end0: .size __device_stub__testMemset, .Lfunc_end0-__device_stub__testMemset .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $testMemset, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type testMemset,@object # @testMemset .section .rodata,"a",@progbits .globl testMemset .p2align 3, 0x0 testMemset: .quad __device_stub__testMemset .size testMemset, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "testMemset" .size .L__unnamed_1, 11 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __device_stub__testMemset .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym testMemset .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : testMemset .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R0, SR_CTAID.Y ; / 0x0000000000007919 / / 0x000e280000002600 / /0020/ S2R R3, SR_CTAID.X ; / 0x0000000000037919 / / 0x000e280000002500 / /0030/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e620000002100 / /0040/ IMAD R0, R0, c[0x0][0xc], R3 ; / 0x0000030000007a24 / / 0x001fc800078e0203 / /0050/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x002fca00078e0205 / /0060/ ISETP.GE.AND P0, PT, R0, c[0x0][0x16c], PT ; / 0x00005b0000007a0c / / 0x000fda0003f06270 / /0070/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0080/ HFMA2.MMA R3, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff037435 / / 0x000fe200000001ff / /0090/ MOV R5, c[0x0][0x168] ; / 0x00005a0000057a02 / / 0x000fe20000000f00 / /00a0/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fd00000000a00 / /00b0/ IMAD.WIDE R2, R0, R3, c[0x0][0x160] ; / 0x0000580000027625 / / 0x000fca00078e0203 / /00c0/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /00d0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00e0/ BRA 0xe0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected testMemset .globl testMemset .p2align 8 .type testMemset,@function testMemset: s_clause 0x1 s_load_b64 s[2:3], s[0:1], 0xc s_load_b32 s4, s[0:1], 0x1c s_waitcnt lgkmcnt(0) s_mul_i32 s3, s3, s15 s_and_b32 s4, s4, 0xffff s_add_i32 s3, s3, s14 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s3, s4, v[0:1] v_cmp_gt_i32_e32 vcc_lo, s2, v1 s_and_saveexec_b32 s2, vcc_lo s_cbranch_execz .LBB0_2 s_clause 0x1 s_load_b64 s[2:3], s[0:1], 0x0 s_load_b32 s0, s[0:1], 0x8 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] s_waitcnt lgkmcnt(0) v_add_co_u32 v0, vcc_lo, s2, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v1, vcc_lo, s3, v1, vcc_lo v_mov_b32_e32 v2, s0 global_store_b32 v[0:1], v2, off .LBB0_2: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel testMemset .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 3 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size testMemset, .Lfunc_end0-testMemset .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: by_value - .offset: 12 .size: 4 .value_kind: by_value - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: testMemset .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: testMemset.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 3 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0011bfb4_00000000-6_module_test.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z32__device_stub__Z10testMemsetPffiPffi .type _Z32__device_stub__Z10testMemsetPffiPffi, @function _Z32__device_stub__Z10testMemsetPffiPffi: .LFB2051: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movss %xmm0, 4(%rsp) movl %esi, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) leaq 4(%rsp), %rax movq %rax, 88(%rsp) movq %rsp, %rax movq %rax, 96(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 104(%rsp), %rax subq %fs:40, %rax jne .L8 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq testMemset(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z32__device_stub__Z10testMemsetPffiPffi, .-_Z32__device_stub__Z10testMemsetPffiPffi .globl testMemset .type testMemset, @function testMemset: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z10testMemsetPffiPffi addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size testMemset, .-testMemset .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "testMemset" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq testMemset(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "module_test.hip" .globl __device_stub__testMemset # -- Begin function __device_stub__testMemset .p2align 4, 0x90 .type __device_stub__testMemset,@function __device_stub__testMemset: # @__device_stub__testMemset .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movss %xmm0, 4(%rsp) movl %esi, (%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 4(%rsp), %rax movq %rax, 72(%rsp) movq %rsp, %rax movq %rax, 80(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 64(%rsp), %r9 movl $testMemset, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end0: .size __device_stub__testMemset, .Lfunc_end0-__device_stub__testMemset .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $testMemset, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type testMemset,@object # @testMemset .section .rodata,"a",@progbits .globl testMemset .p2align 3, 0x0 testMemset: .quad __device_stub__testMemset .size testMemset, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "testMemset" .size .L__unnamed_1, 11 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __device_stub__testMemset .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym testMemset .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ cudaMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); cudaMemcpy(val_d, values+2, size, cudaMemcpyHostToDevice); cudaMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); cudaMemcpy(old_d, oldval+2, size, cudaMemcpyHostToDevice); cudaMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); cudaMemcpy(values+2, val_d, size, cudaMemcpyDeviceToHost); cudaFree(val_d); cudaFree(old_d); cudaFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }	code for sm_80 Function : _Z14do_math_kernelPfS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R3, SR_CTAID.X ; / 0x0000000000037919 / / 0x000e220000002500 / /0020/ IMAD.MOV.U32 R7, RZ, RZ, 0x4 ; / 0x00000004ff077424 / / 0x000fe200078e00ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R0, SR_TID.X ; / 0x0000000000007919 / / 0x000e240000002100 / /0050/ IMAD R2, R3, c[0x0][0x0], R0 ; / 0x0000000003027a24 / / 0x001fc800078e0200 / /0060/ IMAD.WIDE R4, R2, R7, c[0x0][0x168] ; / 0x00005a0002047625 / / 0x000fc800078e0207 / /0070/ IMAD.WIDE R2, R2, R7, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fe400078e0207 / /0080/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /0090/ LDG.E R7, [R2.64] ; / 0x0000000402077981 / / 0x000ee2000c1e1900 / /00a0/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x178] ; / 0x00005e00ff067624 / / 0x000fca00078e00ff / /00b0/ ISETP.GE.AND P0, PT, R6, 0x1, PT ; / 0x000000010600780c / / 0x000fe20003f06270 / /00c0/ STS [R0.X4+0x1000], R5 ; / 0x0010000500007388 / / 0x0041e80000004800 / /00d0/ STS [R0.X4], R7 ; / 0x0000000700007388 / / 0x0081f00000004800 / /00e0/ @!P0 BRA 0x3c0 ; / 0x000002d000008947 / / 0x000fea0003800000 / /00f0/ IADD3 R8, R6.reuse, -0x1, RZ ; / 0xffffffff06087810 / / 0x040fe20007ffe0ff / /0100/ IMAD.MOV.U32 R17, RZ, RZ, R7 ; / 0x000000ffff117224 / / 0x000fe200078e0007 / /0110/ LOP3.LUT R4, R6, 0x3, RZ, 0xc0, !PT ; / 0x0000000306047812 / / 0x000fe200078ec0ff / /0120/ IMAD.MOV.U32 R15, RZ, RZ, R5 ; / 0x000000ffff0f7224 / / 0x000fe200078e0005 / /0130/ ISETP.GE.U32.AND P1, PT, R8, 0x3, PT ; / 0x000000030800780c / / 0x000fc40003f26070 / /0140/ ISETP.NE.AND P0, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fd60003f05270 / /0150/ @!P1 BRA 0x2f0 ; / 0x0000019000009947 / / 0x000fea0003800000 / /0160/ IADD3 R5, -R4, c[0x0][0x178], RZ ; / 0x00005e0004057a10 / / 0x001fc60007ffe1ff / /0170/ F2F.F64.F32 R6, R17 ; / 0x0000001100067310 / / 0x003e220000201800 / /0180/ IADD3 R5, R5, -0x4, RZ ; / 0xfffffffc05057810 / / 0x000fc80007ffe0ff / /0190/ ISETP.NE.AND P1, PT, R5, RZ, PT ; / 0x000000ff0500720c / / 0x000fc60003f25270 / /01a0/ F2F.F64.F32 R10, R15 ; / 0x0000000f000a7310 / / 0x000e620000201800 / /01b0/ DADD R8, R6, R6 ; / 0x0000000006087229 / / 0x001e4c0000000006 / /01c0/ DADD R8, R8, -R10 ; / 0x0000000008087229 / / 0x002e0c000000080a / /01d0/ DFMA R8, R6, c[0x2][0x0], R8 ; / 0x0080000006087a2b / / 0x001e0c0000000008 / /01e0/ F2F.F32.F64 R10, R8 ; / 0x00000008000a7310 / / 0x001e300000301000 / /01f0/ F2F.F64.F32 R10, R10 ; / 0x0000000a000a7310 / / 0x001e240000201800 / /0200/ DADD R12, R10, R10 ; / 0x000000000a0c7229 / / 0x001e0c000000000a / /0210/ DADD R12, -R6, R12 ; / 0x00000000060c7229 / / 0x001e0c000000010c / /0220/ DFMA R12, R10, c[0x2][0x0], R12 ; / 0x008000000a0c7a2b / / 0x001e0c000000000c / /0230/ F2F.F32.F64 R6, R12 ; / 0x0000000c00067310 / / 0x001e300000301000 / /0240/ F2F.F64.F32 R6, R6 ; / 0x0000000600067310 / / 0x001e240000201800 / /0250/ DADD R14, R6, R6 ; / 0x00000000060e7229 / / 0x001e0c0000000006 / /0260/ DADD R14, -R10, R14 ; / 0x000000000a0e7229 / / 0x001e0c000000010e / /0270/ DFMA R14, R6, c[0x2][0x0], R14 ; / 0x00800000060e7a2b / / 0x001e14000000000e / /0280/ F2F.F32.F64 R15, R14 ; / 0x0000000e000f7310 / / 0x001e300000301000 / /0290/ F2F.F64.F32 R8, R15 ; / 0x0000000f00087310 / / 0x001e240000201800 / /02a0/ DADD R10, R8, R8 ; / 0x00000000080a7229 / / 0x001e0c0000000008 / /02b0/ DADD R10, -R6, R10 ; / 0x00000000060a7229 / / 0x001e0c000000010a / /02c0/ DFMA R10, R8, c[0x2][0x0], R10 ; / 0x00800000080a7a2b / / 0x001e0c000000000a / /02d0/ F2F.F32.F64 R17, R10 ; / 0x0000000a00117310 / / 0x0010620000301000 / /02e0/ @P1 BRA 0x170 ; / 0xfffffe8000001947 / / 0x000fea000383ffff / /02f0/ @!P0 BRA 0x3a0 ; / 0x000000a000008947 / / 0x000fea0003800000 / /0300/ F2F.F64.F32 R8, R17 ; / 0x0000001100087310 / / 0x002e620000201800 / /0310/ IADD3 R4, R4, -0x1, RZ ; / 0xffffffff04047810 / / 0x000fc80007ffe0ff / /0320/ ISETP.NE.AND P0, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fc60003f05270 / /0330/ F2F.F64.F32 R6, R15 ; / 0x0000000f00067310 / / 0x0010a20000201800 / /0340/ DADD R10, R8, R8 ; / 0x00000000080a7229 / / 0x002ea20000000008 / /0350/ IMAD.MOV.U32 R15, RZ, RZ, R17 ; / 0x000000ffff0f7224 / / 0x001fca00078e0011 / /0360/ DADD R6, R10, -R6 ; / 0x000000000a067229 / / 0x004e0c0000000806 / /0370/ DFMA R6, R8, c[0x2][0x0], R6 ; / 0x0080000008067a2b / / 0x001e0c0000000006 / /0380/ F2F.F32.F64 R17, R6 ; / 0x0000000600117310 / / 0x0010620000301000 / /0390/ @P0 BRA 0x300 ; / 0xffffff6000000947 / / 0x000fea000383ffff / /03a0/ STS [R0.X4], R17 ; / 0x0000001100007388 / / 0x0023e80000004800 / /03b0/ STS [R0.X4+0x1000], R15 ; / 0x0010000f00007388 / / 0x0003e40000004800 / /03c0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /03d0/ LDS R5, [R0.X4] ; / 0x0000000000057984 / / 0x001e280000004800 / /03e0/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x001fe2000c101904 / /03f0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0400/ BRA 0x400; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0410/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0420/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0430/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0440/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0450/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0460/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0470/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0480/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0490/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ cudaMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); cudaMemcpy(val_d, values+2, size, cudaMemcpyHostToDevice); cudaMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); cudaMemcpy(old_d, oldval+2, size, cudaMemcpyHostToDevice); cudaMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); cudaMemcpy(values+2, val_d, size, cudaMemcpyDeviceToHost); cudaFree(val_d); cudaFree(old_d); cudaFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }	.file "tmpxft_0015fe2f_00000000-6_wave.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2067: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2067: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC0: .string "Enter number of points along vibrating string [%d-%d]: " .section .rodata.str1.1,"aMS",@progbits,1 .LC1: .string "%s" .section .rodata.str1.8 .align 8 .LC2: .string "Invalid. Please enter value between %d and %d\n" .align 8 .LC3: .string "Enter number of time steps [1-%d]: " .align 8 .LC4: .string "Invalid. Please enter value between 1 and %d\n" .align 8 .LC5: .string "Using points = %d, steps = %d\n" .text .globl _Z11check_paramv .type _Z11check_paramv, @function _Z11check_paramv: .LFB2057: .cfi_startproc endbr64 pushq %r12 .cfi_def_cfa_offset 16 .cfi_offset 12, -16 pushq %rbp .cfi_def_cfa_offset 24 .cfi_offset 6, -24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset 3, -32 subq $32, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 24(%rsp) xorl %eax, %eax leaq .LC0(%rip), %r12 movq %rsp, %rbx leaq .LC1(%rip), %rbp .L5: movl tpoints(%rip), %eax subl $20, %eax cmpl $999980, %eax jbe .L14 movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rsi movq %rbp, %rdi movl $0, %eax call __isoc23_scanf@PLT movl $10, %edx movl $0, %esi movq %rbx, %rdi call __isoc23_strtol@PLT movl %eax, tpoints(%rip) subl $20, %eax cmpl $999980, %eax jbe .L5 movl $1000000, %ecx movl $20, %edx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L5 .L14: leaq .LC3(%rip), %r12 movq %rsp, %rbx leaq .LC1(%rip), %rbp .L8: movl nsteps(%rip), %ecx leal -1(%rcx), %eax cmpl $999999, %eax jbe .L15 movl $1000000, %edx movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rsi movq %rbp, %rdi movl $0, %eax call __isoc23_scanf@PLT movl $10, %edx movl $0, %esi movq %rbx, %rdi call __isoc23_strtol@PLT movl %eax, nsteps(%rip) subl $1, %eax cmpl $999999, %eax jbe .L8 movl $1000000, %edx leaq .LC4(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L8 .L15: movl tpoints(%rip), %edx leaq .LC5(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 24(%rsp), %rax subq %fs:40, %rax jne .L16 addq $32, %rsp .cfi_remember_state .cfi_def_cfa_offset 32 popq %rbx .cfi_def_cfa_offset 24 popq %rbp .cfi_def_cfa_offset 16 popq %r12 .cfi_def_cfa_offset 8 ret .L16: .cfi_restore_state call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z11check_paramv, .-_Z11check_paramv .globl _Z9init_linev .type _Z9init_linev, @function _Z9init_linev: .LFB2058: .cfi_startproc endbr64 pushq %r14 .cfi_def_cfa_offset 16 .cfi_offset 14, -16 pushq %r13 .cfi_def_cfa_offset 24 .cfi_offset 13, -24 pushq %r12 .cfi_def_cfa_offset 32 .cfi_offset 12, -32 pushq %rbp .cfi_def_cfa_offset 40 .cfi_offset 6, -40 pushq %rbx .cfi_def_cfa_offset 48 .cfi_offset 3, -48 subq $16, %rsp .cfi_def_cfa_offset 64 movl tpoints(%rip), %eax leal -1(%rax), %edx pxor %xmm3, %xmm3 cvtsi2ssl %edx, %xmm3 movss %xmm3, 12(%rsp) testl %eax, %eax jle .L17 leaq 4+values(%rip), %rbx leaq 4+v(%rip), %r12 leal -1(%rax), %r13d leaq 4(%rbx), %rax leaq (%rax,%r13,4), %r14 movl $0x00000000, %ebp .L19: movd %ebp, %xmm0 divss 12(%rsp), %xmm0 mulss .LC7(%rip), %xmm0 call sinf@PLT movss %xmm0, (%rbx) movss %xmm0, (%r12) movd %ebp, %xmm1 addss .LC8(%rip), %xmm1 movd %xmm1, %ebp addq $4, %rbx addq $4, %r12 cmpq %r14, %rbx jne .L19 addq $2, %r13 movl $1, %eax leaq oldval(%rip), %rdi leaq values(%rip), %rsi leaq o(%rip), %rcx leaq v(%rip), %rdx .L20: movss (%rsi,%rax,4), %xmm0 movss %xmm0, (%rdi,%rax,4) movss (%rdx,%rax,4), %xmm0 movss %xmm0, (%rcx,%rax,4) addq $1, %rax cmpq %r13, %rax jne .L20 .L17: addq $16, %rsp .cfi_def_cfa_offset 48 popq %rbx .cfi_def_cfa_offset 40 popq %rbp .cfi_def_cfa_offset 32 popq %r12 .cfi_def_cfa_offset 24 popq %r13 .cfi_def_cfa_offset 16 popq %r14 .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2058: .size _Z9init_linev, .-_Z9init_linev .globl _Z7do_mathi .type _Z7do_mathi, @function _Z7do_mathi: .LFB2059: .cfi_startproc endbr64 movslq %edi, %rdi leaq values(%rip), %rax pxor %xmm1, %xmm1 cvtss2sd (%rax,%rdi,4), %xmm1 movapd %xmm1, %xmm0 addsd %xmm1, %xmm0 leaq oldval(%rip), %rax pxor %xmm2, %xmm2 cvtss2sd (%rax,%rdi,4), %xmm2 subsd %xmm2, %xmm0 mulsd .LC9(%rip), %xmm1 addsd %xmm1, %xmm0 cvtsd2ss %xmm0, %xmm0 leaq newval(%rip), %rax movss %xmm0, (%rax,%rdi,4) ret .cfi_endproc .LFE2059: .size _Z7do_mathi, .-_Z7do_mathi .globl _Z6updatev .type _Z6updatev, @function _Z6updatev: .LFB2061: .cfi_startproc endbr64 pushq %r14 .cfi_def_cfa_offset 16 .cfi_offset 14, -16 pushq %r13 .cfi_def_cfa_offset 24 .cfi_offset 13, -24 pushq %r12 .cfi_def_cfa_offset 32 .cfi_offset 12, -32 pushq %rbp .cfi_def_cfa_offset 40 .cfi_offset 6, -40 pushq %rbx .cfi_def_cfa_offset 48 .cfi_offset 3, -48 movl $1, %r14d leaq newval(%rip), %r12 leaq oldval(%rip), %r13 leaq values(%rip), %rbp cmpl $0, nsteps(%rip) jg .L26 .L25: popq %rbx .cfi_remember_state .cfi_def_cfa_offset 40 popq %rbp .cfi_def_cfa_offset 32 popq %r12 .cfi_def_cfa_offset 24 popq %r13 .cfi_def_cfa_offset 16 popq %r14 .cfi_def_cfa_offset 8 ret .L36: .cfi_restore_state movl $0x00000000, (%r12,%rbx,4) .L30: movl tpoints(%rip), %eax addq $1, %rbx cmpl %ebx, %eax jl .L42 .L31: cmpl %ebx, %eax je .L36 cmpl $1, %ebx je .L36 movl %ebx, %edi call _Z7do_mathi jmp .L30 .L42: testl %eax, %eax jle .L32 leal 1(%rax), %edx movl $1, %eax .L33: movss 0(%rbp,%rax,4), %xmm0 movss %xmm0, 0(%r13,%rax,4) movss (%r12,%rax,4), %xmm0 movss %xmm0, 0(%rbp,%rax,4) addq $1, %rax cmpq %rdx, %rax jne .L33 .L32: addl $1, %r14d cmpl %r14d, nsteps(%rip) jl .L25 .L26: movl tpoints(%rip), %eax movl $1, %ebx testl %eax, %eax jg .L31 jmp .L32 .cfi_endproc .LFE2061: .size _Z6updatev, .-_Z6updatev .section .rodata.str1.1 .LC10: .string "%6.4f " .LC11: .string "\n" .text .globl _Z10printfinalv .type _Z10printfinalv, @function _Z10printfinalv: .LFB2062: .cfi_startproc endbr64 cmpl $0, tpoints(%rip) jle .L49 pushq %r13 .cfi_def_cfa_offset 16 .cfi_offset 13, -16 pushq %r12 .cfi_def_cfa_offset 24 .cfi_offset 12, -24 pushq %rbp .cfi_def_cfa_offset 32 .cfi_offset 6, -32 pushq %rbx .cfi_def_cfa_offset 40 .cfi_offset 3, -40 subq $8, %rsp .cfi_def_cfa_offset 48 movl $1, %ebx leaq values(%rip), %r12 leaq .LC10(%rip), %rbp leaq .LC11(%rip), %r13 jmp .L46 .L45: addq $1, %rbx cmpl %ebx, tpoints(%rip) jl .L52 .L46: pxor %xmm0, %xmm0 cvtss2sd (%r12,%rbx,4), %xmm0 movq %rbp, %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movslq %ebx, %rax imulq $1717986919, %rax, %rax sarq $34, %rax movl %ebx, %edx sarl $31, %edx subl %edx, %eax leal (%rax,%rax,4), %eax addl %eax, %eax cmpl %ebx, %eax jne .L45 movq %r13, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L45 .L52: addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %rbp .cfi_def_cfa_offset 24 popq %r12 .cfi_def_cfa_offset 16 popq %r13 .cfi_def_cfa_offset 8 ret .L49: .cfi_restore 3 .cfi_restore 6 .cfi_restore 12 .cfi_restore 13 ret .cfi_endproc .LFE2062: .size _Z10printfinalv, .-_Z10printfinalv .section .rodata.str1.1 .LC12: .string "right\n" .LC13: .string "%d are wrong\n" .text .globl _Z12check_answerv .type _Z12check_answerv, @function _Z12check_answerv: .LFB2063: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movl tpoints(%rip), %eax testl %eax, %eax jle .L54 leal 1(%rax), %edi movl $1, %eax movl $0, %esi movl $0, %r8d leaq values(%rip), %rcx leaq v(%rip), %rdx movl $1, %r9d jmp .L57 .L60: addl $1, %esi movl %r9d, %r8d .L55: addq $1, %rax cmpq %rax, %rdi je .L63 .L57: movss (%rcx,%rax,4), %xmm0 ucomiss (%rdx,%rax,4), %xmm0 jp .L60 je .L55 jmp .L60 .L63: testl %r8d, %r8d je .L54 movl %esi, %edx leaq .LC13(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L53 .L54: leaq .LC12(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT .L53: addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2063: .size _Z12check_answerv, .-_Z12check_answerv .globl _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii .type _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii, @function _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii: .LFB2089: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movl %ecx, 4(%rsp) movl %r8d, (%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movq %rsp, %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L68 .L64: movq 136(%rsp), %rax subq %fs:40, %rax jne .L69 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L68: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z14do_math_kernelPfS_S_ii(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L64 .L69: call __stack_chk_fail@PLT .cfi_endproc .LFE2089: .size _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii, .-_Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii .globl _Z14do_math_kernelPfS_S_ii .type _Z14do_math_kernelPfS_S_ii, @function _Z14do_math_kernelPfS_S_ii: .LFB2090: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2090: .size _Z14do_math_kernelPfS_S_ii, .-_Z14do_math_kernelPfS_S_ii .globl _Z14updateOnDevicev .type _Z14updateOnDevicev, @function _Z14updateOnDevicev: .LFB2060: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 subq $64, %rsp .cfi_def_cfa_offset 80 movq %fs:40, %rax movq %rax, 56(%rsp) xorl %eax, %eax movl tpoints(%rip), %eax leal -8(,%rax,4), %ebx movslq %ebx, %rbx leaq 8(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx leaq 8+values(%rip), %rsi movq 8(%rsp), %rdi call cudaMemcpy@PLT leaq 16(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx leaq 8+oldval(%rip), %rsi movq 16(%rsp), %rdi call cudaMemcpy@PLT leaq 24(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl tpoints(%rip), %edx movl $1024, %eax cmpl %eax, %edx cmovle %edx, %eax movl %eax, 32(%rsp) movl $1, 36(%rsp) leal 1023(%rdx), %eax testl %edx, %edx cmovns %edx, %eax sarl $10, %eax addl $1, %eax movl %eax, 44(%rsp) movl $1, 48(%rsp) movl $0, %r9d movl $0, %r8d movq 32(%rsp), %rdx movl $1, %ecx movq 44(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L76 .L73: movl $2, %ecx movq %rbx, %rdx movq 8(%rsp), %rsi leaq 8+values(%rip), %rdi call cudaMemcpy@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 16(%rsp), %rdi call cudaFree@PLT movq 24(%rsp), %rdi call cudaFree@PLT movq 56(%rsp), %rax subq %fs:40, %rax jne .L77 addq $64, %rsp .cfi_remember_state .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 ret .L76: .cfi_restore_state movl tpoints(%rip), %r8d movl nsteps(%rip), %ecx movq 24(%rsp), %rdx movq 16(%rsp), %rsi movq 8(%rsp), %rdi call _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii jmp .L73 .L77: call __stack_chk_fail@PLT .cfi_endproc .LFE2060: .size _Z14updateOnDevicev, .-_Z14updateOnDevicev .section .rodata.str1.1 .LC14: .string "%d" .section .rodata.str1.8 .align 8 .LC15: .string "Initializing points on the line...\n" .align 8 .LC16: .string "Updating all points for all time steps...\n" .section .rodata.str1.1 .LC17: .string "Printing final results...\n" .LC18: .string "\nDone.\n\n" .text .globl main .type main, @function main: .LFB2064: .cfi_startproc endbr64 pushq %rbp .cfi_def_cfa_offset 16 .cfi_offset 6, -16 pushq %rbx .cfi_def_cfa_offset 24 .cfi_offset 3, -24 subq $8, %rsp .cfi_def_cfa_offset 32 movq %rsi, %rbx movq 8(%rsi), %rdi leaq tpoints(%rip), %rdx leaq .LC14(%rip), %rbp movq %rbp, %rsi movl $0, %eax call __isoc23_sscanf@PLT movq 16(%rbx), %rdi leaq nsteps(%rip), %rdx movq %rbp, %rsi movl $0, %eax call __isoc23_sscanf@PLT call _Z11check_paramv leaq .LC15(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z9init_linev leaq .LC16(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z14updateOnDevicev leaq .LC17(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z10printfinalv leaq .LC18(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $0, %eax addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2064: .size main, .-main .section .rodata.str1.1 .LC19: .string "_Z14do_math_kernelPfS_S_ii" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2092: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC19(%rip), %rdx movq %rdx, %rcx leaq _Z14do_math_kernelPfS_S_ii(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2092: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .globl n .bss .align 32 .type n, @object .size n, 4000008 n: .zero 4000008 .globl o .align 32 .type o, @object .size o, 4000008 o: .zero 4000008 .globl v .align 32 .type v, @object .size v, 4000008 v: .zero 4000008 .globl newval .align 32 .type newval, @object .size newval, 4000008 newval: .zero 4000008 .globl oldval .align 32 .type oldval, @object .size oldval, 4000008 oldval: .zero 4000008 .globl values .align 32 .type values, @object .size values, 4000008 values: .zero 4000008 .globl rcode .align 4 .type rcode, @object .size rcode, 4 rcode: .zero 4 .globl tpoints .align 4 .type tpoints, @object .size tpoints, 4 tpoints: .zero 4 .globl nsteps .align 4 .type nsteps, @object .size nsteps, 4 nsteps: .zero 4 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC7: .long 1086918619 .align 4 .LC8: .long 1065353216 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC9: .long -2147483648 .long -1077474755 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ cudaMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); cudaMemcpy(val_d, values+2, size, cudaMemcpyHostToDevice); cudaMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); cudaMemcpy(old_d, oldval+2, size, cudaMemcpyHostToDevice); cudaMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); cudaMemcpy(values+2, val_d, size, cudaMemcpyDeviceToHost); cudaFree(val_d); cudaFree(old_d); cudaFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include <hip/hip_runtime.h> #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ hipMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); hipMemcpy(val_d, values+2, size, hipMemcpyHostToDevice); hipMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); hipMemcpy(old_d, oldval+2, size, hipMemcpyHostToDevice); hipMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); hipMemcpy(values+2, val_d, size, hipMemcpyDeviceToHost); hipFree(val_d); hipFree(old_d); hipFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include <hip/hip_runtime.h> #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ hipMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); hipMemcpy(val_d, values+2, size, hipMemcpyHostToDevice); hipMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); hipMemcpy(old_d, oldval+2, size, hipMemcpyHostToDevice); hipMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); hipMemcpy(values+2, val_d, size, hipMemcpyDeviceToHost); hipFree(val_d); hipFree(old_d); hipFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z14do_math_kernelPfS_S_ii .globl _Z14do_math_kernelPfS_S_ii .p2align 8 .type _Z14do_math_kernelPfS_S_ii,@function _Z14do_math_kernelPfS_S_ii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b128 s[4:7], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_load_b32 s2, s[0:1], 0x18 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[3:4], 2, v[1:2] v_add_co_u32 v1, vcc_lo, s4, v3 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v2, vcc_lo, s5, v4, vcc_lo v_add_co_u32 v3, vcc_lo, s6, v3 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v4, vcc_lo s_waitcnt lgkmcnt(0) s_cmp_lt_i32 s2, 1 global_load_b32 v5, v[1:2], off global_load_b32 v4, v[3:4], off v_lshlrev_b32_e32 v3, 2, v0 s_delay_alu instid0(VALU_DEP_1) v_or_b32_e32 v0, 0x1000, v3 s_waitcnt vmcnt(0) ds_store_2addr_stride64_b32 v3, v4, v5 offset1:16 s_cbranch_scc1 .LBB0_4 ds_load_b32 v5, v0 ds_load_b32 v4, v3 s_mov_b32 s1, 0xbfc70a3d s_brev_b32 s0, 1 .LBB0_2: s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_dual_mov_b32 v7, v4 :: v_dual_mov_b32 v4, v5 s_add_i32 s2, s2, -1 s_cmp_eq_u32 s2, 0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_cvt_f64_f32_e32 v[7:8], v7 v_cvt_f64_f32_e32 v[5:6], v4 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f64 v[7:8], v[5:6], 2.0, -v[7:8] v_fma_f64 v[5:6], v[5:6], s[0:1], v[7:8] s_delay_alu instid0(VALU_DEP_1) v_cvt_f32_f64_e32 v5, v[5:6] s_cbranch_scc0 .LBB0_2 ds_store_b32 v0, v5 ds_store_b32 v3, v4 .LBB0_4: s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v0, v0 s_waitcnt lgkmcnt(0) global_store_b32 v[1:2], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z14do_math_kernelPfS_S_ii .amdhsa_group_segment_fixed_size 8192 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 9 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z14do_math_kernelPfS_S_ii, .Lfunc_end0-_Z14do_math_kernelPfS_S_ii .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 28 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 8192 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z14do_math_kernelPfS_S_ii .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z14do_math_kernelPfS_S_ii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 9 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	/********************************************************* * DESCRIPTION: * * Serial Concurrent Wave Equation - C Version * * This program implements the concurrent wave equation* *********************************************************/ #include <hip/hip_runtime.h> #include<stdio.h> #include<stdlib.h> #include<math.h> #include<time.h> #define MAXPOINTS 1000000 #define MINPOINTS 20 #define MAXSTEPS 1000000 #define PI 3.14159265 void check_param(void); void init_line(void); void update(void); void printfinal(void); int nsteps, /number of time steps/ tpoints, /total points along string/ rcode; /generic return code/ float values[MAXPOINTS + 2], /values at time t/ oldval[MAXPOINTS + 2], /values at time (t-dt)/ newval[MAXPOINTS + 2]; /values at time (t+dt)/ float v[MAXPOINTS + 2], /serial used for comparing answers with parallel/ o[MAXPOINTS + 2], n[MAXPOINTS + 2]; /******************************************************** * Check input values from parameters * *********************************************************/ void check_param(void){ char tchar[20]; /check number of points, number of iterations/ while((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Enter number of points along vibrating string [%d-%d]: "); scanf("%s", tchar); tpoints = atoi(tchar); if((tpoints < MINPOINTS) \|\| (tpoints > MAXPOINTS)){ printf("Invalid. Please enter value between %d and %d\n", MINPOINTS, MAXPOINTS); } } while((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Enter number of time steps [1-%d]: ", MAXSTEPS); scanf("%s", tchar); nsteps = atoi(tchar); if((nsteps < 1) \|\| (nsteps > MAXSTEPS)){ printf("Invalid. Please enter value between 1 and %d\n", MAXSTEPS); } } printf("Using points = %d, steps = %d\n", tpoints, nsteps); } /******************************************************** * Initialize points on line * *********************************************************/ void init_line(void){ int i, j; float x, fac, k, tmp; /Calculate initial values based on sine curve/ fac = 2.0 PI; k = 0.0; tmp = tpoints - 1; for(j = 1; j <= tpoints; j++){ x = k/tmp; values[j] = sin(fac * x); v[j] = values[j]; k = k + 1.0; } /Initialize old values array/ for(i = 1; i <= tpoints; i++){ oldval[i] = values[i]; o[i] = v[i]; } } /********************************************************* * Calculate new values using wave equation * *********************************************************/ __global__ void do_math_kernel(float val_d, float old_d, float new_d, int num_of_steps, int num_of_points){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; __shared__ float val_ds[1024]; __shared__ float old_ds[1024]; __shared__ float new_ds[1024]; int tx = threadIdx.x; int index = blockIdx.x * blockDim.x + threadIdx.x; val_ds[tx] = val_d[index]; old_ds[tx] = old_d[index]; for(int i = 1; i <= num_of_steps; i++){ /This part needs to access elements from global memory of GPU/ /if(index == 0 \|\| index == num_of_points - 1) new_d[index] = 0.0; else new_d[index] = (2.0 val_d[index]) - old_d[index] + (sqtau * (-2.0) * val_d[index]); old_d[index] = val_d[index]; val_d[index] = new_d[index];/ /This part accesses elements from shared memory of GPU -> faster/ /if(index == 0 \|\| index == num_of_points - 1) new_ds[tx] = 0.0; else new_ds[tx] = (2.0 * val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx];/ /This part only takes values[2~tpoints-1] total tpoins-2 points from CPU to GPU in order to reduce branch overhead/ new_ds[tx] = (2.0 val_ds[tx]) - old_ds[tx] + (sqtau * (-2.0) * val_ds[tx]); old_ds[tx] = val_ds[tx]; val_ds[tx] = new_ds[tx]; } __syncthreads(); val_d[index] = val_ds[tx]; } void do_math(int i){ float dtime, c, dx, tau, sqtau; dtime = 0.3; c = 1.0; dx = 1.0; tau = (c * dtime / dx); sqtau = tau * tau; newval[i] = (2.0 * values[i]) - oldval[i] + (sqtau * (-2.0) * values[i]); //n[i] = (2.0 * v[i]) - o[i] + (sqtau * (-2.0) * v[i]); } /*********************************************************** * Update all values along line a specified number of times* **********************************************************/ void updateOnDevice(){ //int size = tpoints sizeof(float); int size = (tpoints - 2) * sizeof(float); float val_d, old_d, new_d; //memory on device /1.Allocate device memory and move initiail values[] and oldval[] to GPU/ hipMalloc(&val_d, size); //cudaMemcpy(val_d, values+1, size, cudaMemcpyHostToDevice); hipMemcpy(val_d, values+2, size, hipMemcpyHostToDevice); hipMalloc(&old_d, size); //cudaMemcpy(old_d, oldval+1, size, cudaMemcpyHostToDevice); hipMemcpy(old_d, oldval+2, size, hipMemcpyHostToDevice); hipMalloc(&new_d, size); /2.Invoke kernel function, each thread calculates a value[] element/ int threads_per_block, blocks_per_grid = tpoints/1024 + 1; if(tpoints > 1024) threads_per_block = 1024; else threads_per_block = tpoints; dim3 dimBlock(threads_per_block); dim3 dimGrid(blocks_per_grid); do_math_kernel<<<dimGrid,dimBlock>>>(val_d, old_d, new_d, nsteps, tpoints); /3.Read final results from GPU to CPU/ //cudaMemcpy(values+1, val_d, size, cudaMemcpyDeviceToHost); hipMemcpy(values+2, val_d, size, hipMemcpyDeviceToHost); hipFree(val_d); hipFree(old_d); hipFree(new_d); } void update(){ int i, j; /Update values for each time step/ for(i = 1; i <= nsteps; i++){ /Update points along line for this time step/ for(j = 1; j <= tpoints; j++){ /global endpoints/ if((j == 1) \|\| (j == tpoints)){ newval[j] = 0.0; //n[j] = 0.0; } else do_math(j); } /Update old values with new values/ for(j = 1; j <= tpoints; j++){ oldval[j] = values[j]; values[j] = newval[j]; /o[j] = v[j]; v[j] = n[j];/ } } } /********************************************************* * Print final results * ********************************************************/ void printfinal(){ int i; for(i = 1; i <= tpoints; i++){ printf("%6.4f ", values[i]); if(i%10 == 0) printf("\n"); } } /******************************************************** * Check serial and parallel answers * *********************************************************/ void check_answer(){ int wrong = 0, num = 0; for(int i = 1; i <= tpoints; i++){ if(values[i]!=v[i]){ wrong = 1; num++; } } if(wrong == 0) printf("right\n"); else printf("%d are wrong\n", num); /In command line ./ cuda_wave.out > [filename] to pipe output to the file then use diff file1 file2 to see if there is any difference/ } /******************************************************** * Main Program * *********************************************************/ int main(int argc, char argv[]){ sscanf(argv[1], "%d", &tpoints); sscanf(argv[2], "%d", &nsteps); check_param(); printf("Initializing points on the line...\n"); init_line(); //printfinal(); printf("Updating all points for all time steps...\n"); //update(); updateOnDevice(); printf("Printing final results...\n"); printfinal(); printf("\nDone.\n\n"); return 0; }	.text .file "wave.hip" .globl _Z11check_paramv # -- Begin function _Z11check_paramv .p2align 4, 0x90 .type _Z11check_paramv,@function _Z11check_paramv: # @_Z11check_paramv .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %rbx .cfi_def_cfa_offset 24 subq $24, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -24 .cfi_offset %rbp, -16 movl $-1000001, %ebp # imm = 0xFFF0BDBF movl tpoints(%rip), %eax addl %ebp, %eax cmpl $-999982, %eax # imm = 0xFFF0BDD2 ja .LBB0_5 # %bb.1: movq %rsp, %rbx jmp .LBB0_2 .p2align 4, 0x90 .LBB0_4: # in Loop: Header=BB0_2 Depth=1 movl tpoints(%rip), %eax addl %ebp, %eax cmpl $-999981, %eax # imm = 0xFFF0BDD3 jae .LBB0_5 .LBB0_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movl $.L.str, %edi xorl %eax, %eax callq printf movl $.L.str.1, %edi movq %rbx, %rsi xorl %eax, %eax callq __isoc23_scanf movq %rbx, %rdi xorl %esi, %esi movl $10, %edx callq __isoc23_strtol movl %eax, tpoints(%rip) addl $-1000001, %eax # imm = 0xFFF0BDBF cmpl $-999982, %eax # imm = 0xFFF0BDD2 ja .LBB0_4 # %bb.3: # in Loop: Header=BB0_2 Depth=1 movl $.L.str.2, %edi movl $20, %esi movl $1000000, %edx # imm = 0xF4240 xorl %eax, %eax callq printf jmp .LBB0_4 .LBB0_5: # %.preheader movl nsteps(%rip), %edx leal -1000001(%rdx), %eax cmpl $-1000001, %eax # imm = 0xFFF0BDBF ja .LBB0_10 # %bb.6: movq %rsp, %rbx jmp .LBB0_7 .p2align 4, 0x90 .LBB0_9: # in Loop: Header=BB0_7 Depth=1 movl nsteps(%rip), %edx leal -1000001(%rdx), %eax cmpl $-1000000, %eax # imm = 0xFFF0BDC0 jae .LBB0_10 .LBB0_7: # %.lr.ph4 # =>This Inner Loop Header: Depth=1 movl $.L.str.3, %edi movl $1000000, %esi # imm = 0xF4240 xorl %eax, %eax callq printf movl $.L.str.1, %edi movq %rbx, %rsi xorl %eax, %eax callq __isoc23_scanf movq %rbx, %rdi xorl %esi, %esi movl $10, %edx callq __isoc23_strtol movl %eax, nsteps(%rip) addl $-1000001, %eax # imm = 0xFFF0BDBF cmpl $-1000001, %eax # imm = 0xFFF0BDBF ja .LBB0_9 # %bb.8: # in Loop: Header=BB0_7 Depth=1 movl $.L.str.4, %edi movl $1000000, %esi # imm = 0xF4240 xorl %eax, %eax callq printf jmp .LBB0_9 .LBB0_10: # %._crit_edge movl tpoints(%rip), %esi movl $.L.str.5, %edi # kill: def $edx killed $edx killed $rdx xorl %eax, %eax callq printf addq $24, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end0: .size _Z11check_paramv, .Lfunc_end0-_Z11check_paramv .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function _Z9init_linev .LCPI1_0: .long 0x40c90fdb # float 6.28318548 .LCPI1_1: .long 0x3f800000 # float 1 .text .globl _Z9init_linev .p2align 4, 0x90 .type _Z9init_linev,@function _Z9init_linev: # @_Z9init_linev .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $16, %rsp .cfi_def_cfa_offset 32 .cfi_offset %rbx, -16 movl tpoints(%rip), %eax testl %eax, %eax jle .LBB1_3 # %bb.1: # %.lr.ph.preheader decl %eax cvtsi2ss %eax, %xmm0 movss %xmm0, 12(%rsp) # 4-byte Spill xorps %xmm0, %xmm0 xorl %ebx, %ebx .p2align 4, 0x90 .LBB1_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movss %xmm0, 8(%rsp) # 4-byte Spill movss 8(%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero divss 12(%rsp), %xmm0 # 4-byte Folded Reload mulss .LCPI1_0(%rip), %xmm0 callq sinf movss %xmm0, values+4(,%rbx,4) movss %xmm0, v+4(,%rbx,4) movss 8(%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero addss .LCPI1_1(%rip), %xmm0 movslq tpoints(%rip), %rax incq %rbx cmpq %rax, %rbx jl .LBB1_2 .LBB1_3: # %.preheader testl %eax, %eax jle .LBB1_4 # %bb.5: # %.lr.ph23.preheader movl %eax, %ebx shlq $2, %rbx movl $oldval+4, %edi movl $values+4, %esi movq %rbx, %rdx callq memcpy@PLT movl $o+4, %edi movl $v+4, %esi movq %rbx, %rdx addq $16, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp memcpy@PLT # TAILCALL .LBB1_4: # %._crit_edge .cfi_def_cfa_offset 32 addq $16, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size _Z9init_linev, .Lfunc_end1-_Z9init_linev .cfi_endproc # -- End function .globl _Z29__device_stub__do_math_kernelPfS_S_ii # -- Begin function _Z29__device_stub__do_math_kernelPfS_S_ii .p2align 4, 0x90 .type _Z29__device_stub__do_math_kernelPfS_S_ii,@function _Z29__device_stub__do_math_kernelPfS_S_ii: # @_Z29__device_stub__do_math_kernelPfS_S_ii .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movl %ecx, 4(%rsp) movl %r8d, (%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) movq %rsp, %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z14do_math_kernelPfS_S_ii, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end2: .size _Z29__device_stub__do_math_kernelPfS_S_ii, .Lfunc_end2-_Z29__device_stub__do_math_kernelPfS_S_ii .cfi_endproc # -- End function .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z7do_mathi .LCPI3_0: .quad 0xbfc70a3d80000000 # double -0.18000000715255737 .text .globl _Z7do_mathi .p2align 4, 0x90 .type _Z7do_mathi,@function _Z7do_mathi: # @_Z7do_mathi .cfi_startproc # %bb.0: movslq %edi, %rax movss values(,%rax,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movaps %xmm0, %xmm1 addsd %xmm0, %xmm1 movss oldval(,%rax,4), %xmm2 # xmm2 = mem[0],zero,zero,zero cvtss2sd %xmm2, %xmm2 subsd %xmm2, %xmm1 mulsd .LCPI3_0(%rip), %xmm0 addsd %xmm1, %xmm0 cvtsd2ss %xmm0, %xmm0 movss %xmm0, newval(,%rax,4) retq .Lfunc_end3: .size _Z7do_mathi, .Lfunc_end3-_Z7do_mathi .cfi_endproc # -- End function .globl _Z14updateOnDevicev # -- Begin function _Z14updateOnDevicev .p2align 4, 0x90 .type _Z14updateOnDevicev,@function _Z14updateOnDevicev: # @_Z14updateOnDevicev .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $160, %rsp .cfi_def_cfa_offset 176 .cfi_offset %rbx, -16 movl tpoints(%rip), %eax leal -8(,%rax,4), %eax movslq %eax, %rbx leaq 8(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movq 8(%rsp), %rdi movl $values+8, %esi movq %rbx, %rdx movl $1, %ecx callq hipMemcpy leaq 16(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movq 16(%rsp), %rdi movl $oldval+8, %esi movq %rbx, %rdx movl $1, %ecx callq hipMemcpy leaq 32(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movl tpoints(%rip), %eax leal 1023(%rax), %edi testl %eax, %eax cmovnsl %eax, %edi sarl $10, %edi incl %edi cmpl $1024, %eax # imm = 0x400 movl $1024, %edx # imm = 0x400 cmovll %eax, %edx movabsq $4294967296, %rax # imm = 0x100000000 orq %rax, %rdx orq %rax, %rdi movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB4_2 # %bb.1: movq 8(%rsp), %rax movq 16(%rsp), %rcx movq 32(%rsp), %rdx movl nsteps(%rip), %esi movl tpoints(%rip), %edi movq %rax, 104(%rsp) movq %rcx, 96(%rsp) movq %rdx, 88(%rsp) movl %esi, 28(%rsp) movl %edi, 24(%rsp) leaq 104(%rsp), %rax movq %rax, 112(%rsp) leaq 96(%rsp), %rax movq %rax, 120(%rsp) leaq 88(%rsp), %rax movq %rax, 128(%rsp) leaq 28(%rsp), %rax movq %rax, 136(%rsp) leaq 24(%rsp), %rax movq %rax, 144(%rsp) leaq 72(%rsp), %rdi leaq 56(%rsp), %rsi leaq 48(%rsp), %rdx leaq 40(%rsp), %rcx callq __hipPopCallConfiguration movq 72(%rsp), %rsi movl 80(%rsp), %edx movq 56(%rsp), %rcx movl 64(%rsp), %r8d leaq 112(%rsp), %r9 movl $_Z14do_math_kernelPfS_S_ii, %edi pushq 40(%rsp) .cfi_adjust_cfa_offset 8 pushq 56(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB4_2: movq 8(%rsp), %rsi movl $values+8, %edi movq %rbx, %rdx movl $2, %ecx callq hipMemcpy movq 8(%rsp), %rdi callq hipFree movq 16(%rsp), %rdi callq hipFree movq 32(%rsp), %rdi callq hipFree addq $160, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .Lfunc_end4: .size _Z14updateOnDevicev, .Lfunc_end4-_Z14updateOnDevicev .cfi_endproc # -- End function .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z6updatev .LCPI5_0: .quad 0xbfc70a3d80000000 # double -0.18000000715255737 .text .globl _Z6updatev .p2align 4, 0x90 .type _Z6updatev,@function _Z6updatev: # @_Z6updatev .cfi_startproc # %bb.0: movl nsteps(%rip), %eax testl %eax, %eax jle .LBB5_12 # %bb.1: # %.preheader18.lr.ph movl tpoints(%rip), %ecx leal 1(%rcx), %edx leaq -4(,%rcx,4), %rsi leaq -4(,%rdx,4), %rdi shlq $2, %rdx movl $1, %r8d movsd .LCPI5_0(%rip), %xmm0 # xmm0 = mem[0],zero jmp .LBB5_2 .p2align 4, 0x90 .LBB5_11: # %._crit_edge # in Loop: Header=BB5_2 Depth=1 leal 1(%r8), %r9d cmpl %eax, %r8d movl %r9d, %r8d je .LBB5_12 .LBB5_2: # %.preheader18 # =>This Loop Header: Depth=1 # Child Loop BB5_4 Depth 2 # Child Loop BB5_10 Depth 2 testl %ecx, %ecx jle .LBB5_8 # %bb.3: # %.lr.ph.preheader # in Loop: Header=BB5_2 Depth=1 xorl %r9d, %r9d jmp .LBB5_4 .p2align 4, 0x90 .LBB5_7: # in Loop: Header=BB5_4 Depth=2 movss %xmm1, newval+4(%r9) addq $4, %r9 cmpq %r9, %rdi je .LBB5_8 .LBB5_4: # %.lr.ph # Parent Loop BB5_2 Depth=1 # => This Inner Loop Header: Depth=2 xorps %xmm1, %xmm1 testq %r9, %r9 je .LBB5_7 # %bb.5: # %.lr.ph # in Loop: Header=BB5_4 Depth=2 cmpq %r9, %rsi je .LBB5_7 # %bb.6: # in Loop: Header=BB5_4 Depth=2 movss values+4(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero cvtss2sd %xmm1, %xmm1 movaps %xmm1, %xmm2 addsd %xmm1, %xmm2 movss oldval+4(%r9), %xmm3 # xmm3 = mem[0],zero,zero,zero cvtss2sd %xmm3, %xmm3 subsd %xmm3, %xmm2 mulsd %xmm0, %xmm1 addsd %xmm2, %xmm1 cvtsd2ss %xmm1, %xmm1 jmp .LBB5_7 .p2align 4, 0x90 .LBB5_8: # %.preheader # in Loop: Header=BB5_2 Depth=1 testl %ecx, %ecx jle .LBB5_11 # %bb.9: # %.lr.ph23.preheader # in Loop: Header=BB5_2 Depth=1 movl $4, %r9d .p2align 4, 0x90 .LBB5_10: # %.lr.ph23 # Parent Loop BB5_2 Depth=1 # => This Inner Loop Header: Depth=2 movss values(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero movss %xmm1, oldval(%r9) movss newval(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero movss %xmm1, values(%r9) addq $4, %r9 cmpq %r9, %rdx jne .LBB5_10 jmp .LBB5_11 .LBB5_12: # %._crit_edge26 retq .Lfunc_end5: .size _Z6updatev, .Lfunc_end5-_Z6updatev .cfi_endproc # -- End function .globl _Z10printfinalv # -- Begin function _Z10printfinalv .p2align 4, 0x90 .type _Z10printfinalv,@function _Z10printfinalv: # @_Z10printfinalv .cfi_startproc # %bb.0: cmpl $0, tpoints(%rip) jle .LBB6_6 # %bb.1: # %.lr.ph.preheader pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %rbx .cfi_def_cfa_offset 40 pushq %rax .cfi_def_cfa_offset 48 .cfi_offset %rbx, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movl $1, %ebx xorl %r14d, %r14d movl $3435973837, %r15d # imm = 0xCCCCCCCD jmp .LBB6_2 .p2align 4, 0x90 .LBB6_4: # in Loop: Header=BB6_2 Depth=1 movslq tpoints(%rip), %rax incq %r14 incl %ebx cmpq %rax, %r14 jge .LBB6_5 .LBB6_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movl %ebx, %eax imulq %r15, %rax shrq $35, %rax leal (%rax,%rax,4), %eax leal -1(,%rax,2), %ebp movss values+4(,%r14,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf cmpl %r14d, %ebp jne .LBB6_4 # %bb.3: # in Loop: Header=BB6_2 Depth=1 movl $10, %edi callq putchar@PLT jmp .LBB6_4 .LBB6_5: addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 .cfi_restore %rbx .cfi_restore %r14 .cfi_restore %r15 .cfi_restore %rbp .LBB6_6: # %._crit_edge retq .Lfunc_end6: .size _Z10printfinalv, .Lfunc_end6-_Z10printfinalv .cfi_endproc # -- End function .globl _Z12check_answerv # -- Begin function _Z12check_answerv .p2align 4, 0x90 .type _Z12check_answerv,@function _Z12check_answerv: # @_Z12check_answerv .cfi_startproc # %bb.0: movl tpoints(%rip), %eax testl %eax, %eax jle .LBB7_1 # %bb.5: # %.lr.ph.preheader leaq 4(,%rax,4), %rax xorl %esi, %esi movl $4, %ecx movl $1, %edx xorl %edi, %edi .p2align 4, 0x90 .LBB7_6: # %.lr.ph # =>This Inner Loop Header: Depth=1 movss values(%rcx), %xmm0 # xmm0 = mem[0],zero,zero,zero movss v(%rcx), %xmm1 # xmm1 = mem[0],zero,zero,zero ucomiss %xmm1, %xmm0 cmpneqss %xmm1, %xmm0 cmovnel %edx, %edi cmovpl %edx, %edi movd %xmm0, %r8d subl %r8d, %esi addq $4, %rcx cmpq %rcx, %rax jne .LBB7_6 # %bb.2: # %._crit_edge.loopexit testl %edi, %edi sete %al testb %al, %al je .LBB7_7 .LBB7_4: movl $.Lstr, %edi jmp puts@PLT # TAILCALL .LBB7_1: xorl %esi, %esi movb $1, %al testb %al, %al jne .LBB7_4 .LBB7_7: movl $.L.str.9, %edi xorl %eax, %eax jmp printf # TAILCALL .Lfunc_end7: .size _Z12check_answerv, .Lfunc_end7-_Z12check_answerv .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function main .LCPI8_0: .long 0x40c90fdb # float 6.28318548 .LCPI8_1: .long 0x3f800000 # float 1 .text .globl main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %rbx .cfi_def_cfa_offset 40 pushq %rax .cfi_def_cfa_offset 48 .cfi_offset %rbx, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movq %rsi, %rbx movq 8(%rsi), %rdi movl $.L.str.10, %esi movl $tpoints, %edx xorl %eax, %eax callq __isoc23_sscanf movq 16(%rbx), %rdi movl $.L.str.10, %esi movl $nsteps, %edx xorl %eax, %eax callq __isoc23_sscanf callq _Z11check_paramv movl $.Lstr.1, %edi callq puts@PLT movl tpoints(%rip), %eax testl %eax, %eax jle .LBB8_3 # %bb.1: # %.lr.ph.i.preheader decl %eax cvtsi2ss %eax, %xmm0 movss %xmm0, 4(%rsp) # 4-byte Spill xorps %xmm0, %xmm0 xorl %ebx, %ebx .p2align 4, 0x90 .LBB8_2: # %.lr.ph.i # =>This Inner Loop Header: Depth=1 movss %xmm0, (%rsp) # 4-byte Spill movss (%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero divss 4(%rsp), %xmm0 # 4-byte Folded Reload mulss .LCPI8_0(%rip), %xmm0 callq sinf movss %xmm0, values+4(,%rbx,4) movss %xmm0, v+4(,%rbx,4) movss (%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero addss .LCPI8_1(%rip), %xmm0 movslq tpoints(%rip), %rax incq %rbx cmpq %rax, %rbx jl .LBB8_2 .LBB8_3: # %.preheader.i testl %eax, %eax jle .LBB8_5 # %bb.4: # %.lr.ph23.preheader.i movl %eax, %ebx shlq $2, %rbx movl $oldval+4, %edi movl $values+4, %esi movq %rbx, %rdx callq memcpy@PLT movl $o+4, %edi movl $v+4, %esi movq %rbx, %rdx callq memcpy@PLT .LBB8_5: # %_Z9init_linev.exit movl $.Lstr.2, %edi callq puts@PLT callq _Z14updateOnDevicev movl $.Lstr.3, %edi callq puts@PLT cmpl $0, tpoints(%rip) jle .LBB8_10 # %bb.6: # %.lr.ph.i5.preheader movl $1, %ebx xorl %r14d, %r14d movl $3435973837, %r15d # imm = 0xCCCCCCCD jmp .LBB8_7 .p2align 4, 0x90 .LBB8_9: # in Loop: Header=BB8_7 Depth=1 movslq tpoints(%rip), %rax incq %r14 incl %ebx cmpq %rax, %r14 jge .LBB8_10 .LBB8_7: # %.lr.ph.i5 # =>This Inner Loop Header: Depth=1 movl %ebx, %eax imulq %r15, %rax shrq $35, %rax leal (%rax,%rax,4), %eax leal -1(,%rax,2), %ebp movss values+4(,%r14,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf cmpl %r14d, %ebp jne .LBB8_9 # %bb.8: # in Loop: Header=BB8_7 Depth=1 movl $10, %edi callq putchar@PLT jmp .LBB8_9 .LBB8_10: # %_Z10printfinalv.exit movl $.Lstr.4, %edi callq puts@PLT xorl %eax, %eax addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end8: .size main, .Lfunc_end8-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB9_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB9_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z14do_math_kernelPfS_S_ii, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end9: .size __hip_module_ctor, .Lfunc_end9-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB10_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB10_2: retq .Lfunc_end10: .size __hip_module_dtor, .Lfunc_end10-__hip_module_dtor .cfi_endproc # -- End function .type nsteps,@object # @nsteps .bss .globl nsteps .p2align 2, 0x0 nsteps: .long 0 # 0x0 .size nsteps, 4 .type tpoints,@object # @tpoints .globl tpoints .p2align 2, 0x0 tpoints: .long 0 # 0x0 .size tpoints, 4 .type rcode,@object # @rcode .globl rcode .p2align 2, 0x0 rcode: .long 0 # 0x0 .size rcode, 4 .type values,@object # @values .globl values .p2align 4, 0x0 values: .zero 4000008 .size values, 4000008 .type oldval,@object # @oldval .globl oldval .p2align 4, 0x0 oldval: .zero 4000008 .size oldval, 4000008 .type newval,@object # @newval .globl newval .p2align 4, 0x0 newval: .zero 4000008 .size newval, 4000008 .type v,@object # @v .globl v .p2align 4, 0x0 v: .zero 4000008 .size v, 4000008 .type o,@object # @o .globl o .p2align 4, 0x0 o: .zero 4000008 .size o, 4000008 .type n,@object # @n .globl n .p2align 4, 0x0 n: .zero 4000008 .size n, 4000008 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "Enter number of points along vibrating string [%d-%d]: " .size .L.str, 56 .type .L.str.1,@object # @.str.1 .L.str.1: .asciz "%s" .size .L.str.1, 3 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "Invalid. Please enter value between %d and %d\n" .size .L.str.2, 47 .type .L.str.3,@object # @.str.3 .L.str.3: .asciz "Enter number of time steps [1-%d]: " .size .L.str.3, 36 .type .L.str.4,@object # @.str.4 .L.str.4: .asciz "Invalid. Please enter value between 1 and %d\n" .size .L.str.4, 46 .type .L.str.5,@object # @.str.5 .L.str.5: .asciz "Using points = %d, steps = %d\n" .size .L.str.5, 31 .type _Z14do_math_kernelPfS_S_ii,@object # @_Z14do_math_kernelPfS_S_ii .section .rodata,"a",@progbits .globl _Z14do_math_kernelPfS_S_ii .p2align 3, 0x0 _Z14do_math_kernelPfS_S_ii: .quad _Z29__device_stub__do_math_kernelPfS_S_ii .size _Z14do_math_kernelPfS_S_ii, 8 .type .L.str.6,@object # @.str.6 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.6: .asciz "%6.4f " .size .L.str.6, 7 .type .L.str.9,@object # @.str.9 .L.str.9: .asciz "%d are wrong\n" .size .L.str.9, 14 .type .L.str.10,@object # @.str.10 .L.str.10: .asciz "%d" .size .L.str.10, 3 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z14do_math_kernelPfS_S_ii" .size .L__unnamed_1, 27 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .type .Lstr,@object # @str .section .rodata.str1.1,"aMS",@progbits,1 .Lstr: .asciz "right" .size .Lstr, 6 .type .Lstr.1,@object # @str.1 .Lstr.1: .asciz "Initializing points on the line..." .size .Lstr.1, 35 .type .Lstr.2,@object # @str.2 .Lstr.2: .asciz "Updating all points for all time steps..." .size .Lstr.2, 42 .type .Lstr.3,@object # @str.3 .Lstr.3: .asciz "Printing final results..." .size .Lstr.3, 26 .type .Lstr.4,@object # @str.4 .Lstr.4: .asciz "\nDone.\n" .size .Lstr.4, 8 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z29__device_stub__do_math_kernelPfS_S_ii .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym nsteps .addrsig_sym tpoints .addrsig_sym values .addrsig_sym oldval .addrsig_sym _Z14do_math_kernelPfS_S_ii .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z14do_math_kernelPfS_S_ii .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R3, SR_CTAID.X ; / 0x0000000000037919 / / 0x000e220000002500 / /0020/ IMAD.MOV.U32 R7, RZ, RZ, 0x4 ; / 0x00000004ff077424 / / 0x000fe200078e00ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R0, SR_TID.X ; / 0x0000000000007919 / / 0x000e240000002100 / /0050/ IMAD R2, R3, c[0x0][0x0], R0 ; / 0x0000000003027a24 / / 0x001fc800078e0200 / /0060/ IMAD.WIDE R4, R2, R7, c[0x0][0x168] ; / 0x00005a0002047625 / / 0x000fc800078e0207 / /0070/ IMAD.WIDE R2, R2, R7, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fe400078e0207 / /0080/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /0090/ LDG.E R7, [R2.64] ; / 0x0000000402077981 / / 0x000ee2000c1e1900 / /00a0/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x178] ; / 0x00005e00ff067624 / / 0x000fca00078e00ff / /00b0/ ISETP.GE.AND P0, PT, R6, 0x1, PT ; / 0x000000010600780c / / 0x000fe20003f06270 / /00c0/ STS [R0.X4+0x1000], R5 ; / 0x0010000500007388 / / 0x0041e80000004800 / /00d0/ STS [R0.X4], R7 ; / 0x0000000700007388 / / 0x0081f00000004800 / /00e0/ @!P0 BRA 0x3c0 ; / 0x000002d000008947 / / 0x000fea0003800000 / /00f0/ IADD3 R8, R6.reuse, -0x1, RZ ; / 0xffffffff06087810 / / 0x040fe20007ffe0ff / /0100/ IMAD.MOV.U32 R17, RZ, RZ, R7 ; / 0x000000ffff117224 / / 0x000fe200078e0007 / /0110/ LOP3.LUT R4, R6, 0x3, RZ, 0xc0, !PT ; / 0x0000000306047812 / / 0x000fe200078ec0ff / /0120/ IMAD.MOV.U32 R15, RZ, RZ, R5 ; / 0x000000ffff0f7224 / / 0x000fe200078e0005 / /0130/ ISETP.GE.U32.AND P1, PT, R8, 0x3, PT ; / 0x000000030800780c / / 0x000fc40003f26070 / /0140/ ISETP.NE.AND P0, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fd60003f05270 / /0150/ @!P1 BRA 0x2f0 ; / 0x0000019000009947 / / 0x000fea0003800000 / /0160/ IADD3 R5, -R4, c[0x0][0x178], RZ ; / 0x00005e0004057a10 / / 0x001fc60007ffe1ff / /0170/ F2F.F64.F32 R6, R17 ; / 0x0000001100067310 / / 0x003e220000201800 / /0180/ IADD3 R5, R5, -0x4, RZ ; / 0xfffffffc05057810 / / 0x000fc80007ffe0ff / /0190/ ISETP.NE.AND P1, PT, R5, RZ, PT ; / 0x000000ff0500720c / / 0x000fc60003f25270 / /01a0/ F2F.F64.F32 R10, R15 ; / 0x0000000f000a7310 / / 0x000e620000201800 / /01b0/ DADD R8, R6, R6 ; / 0x0000000006087229 / / 0x001e4c0000000006 / /01c0/ DADD R8, R8, -R10 ; / 0x0000000008087229 / / 0x002e0c000000080a / /01d0/ DFMA R8, R6, c[0x2][0x0], R8 ; / 0x0080000006087a2b / / 0x001e0c0000000008 / /01e0/ F2F.F32.F64 R10, R8 ; / 0x00000008000a7310 / / 0x001e300000301000 / /01f0/ F2F.F64.F32 R10, R10 ; / 0x0000000a000a7310 / / 0x001e240000201800 / /0200/ DADD R12, R10, R10 ; / 0x000000000a0c7229 / / 0x001e0c000000000a / /0210/ DADD R12, -R6, R12 ; / 0x00000000060c7229 / / 0x001e0c000000010c / /0220/ DFMA R12, R10, c[0x2][0x0], R12 ; / 0x008000000a0c7a2b / / 0x001e0c000000000c / /0230/ F2F.F32.F64 R6, R12 ; / 0x0000000c00067310 / / 0x001e300000301000 / /0240/ F2F.F64.F32 R6, R6 ; / 0x0000000600067310 / / 0x001e240000201800 / /0250/ DADD R14, R6, R6 ; / 0x00000000060e7229 / / 0x001e0c0000000006 / /0260/ DADD R14, -R10, R14 ; / 0x000000000a0e7229 / / 0x001e0c000000010e / /0270/ DFMA R14, R6, c[0x2][0x0], R14 ; / 0x00800000060e7a2b / / 0x001e14000000000e / /0280/ F2F.F32.F64 R15, R14 ; / 0x0000000e000f7310 / / 0x001e300000301000 / /0290/ F2F.F64.F32 R8, R15 ; / 0x0000000f00087310 / / 0x001e240000201800 / /02a0/ DADD R10, R8, R8 ; / 0x00000000080a7229 / / 0x001e0c0000000008 / /02b0/ DADD R10, -R6, R10 ; / 0x00000000060a7229 / / 0x001e0c000000010a / /02c0/ DFMA R10, R8, c[0x2][0x0], R10 ; / 0x00800000080a7a2b / / 0x001e0c000000000a / /02d0/ F2F.F32.F64 R17, R10 ; / 0x0000000a00117310 / / 0x0010620000301000 / /02e0/ @P1 BRA 0x170 ; / 0xfffffe8000001947 / / 0x000fea000383ffff / /02f0/ @!P0 BRA 0x3a0 ; / 0x000000a000008947 / / 0x000fea0003800000 / /0300/ F2F.F64.F32 R8, R17 ; / 0x0000001100087310 / / 0x002e620000201800 / /0310/ IADD3 R4, R4, -0x1, RZ ; / 0xffffffff04047810 / / 0x000fc80007ffe0ff / /0320/ ISETP.NE.AND P0, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fc60003f05270 / /0330/ F2F.F64.F32 R6, R15 ; / 0x0000000f00067310 / / 0x0010a20000201800 / /0340/ DADD R10, R8, R8 ; / 0x00000000080a7229 / / 0x002ea20000000008 / /0350/ IMAD.MOV.U32 R15, RZ, RZ, R17 ; / 0x000000ffff0f7224 / / 0x001fca00078e0011 / /0360/ DADD R6, R10, -R6 ; / 0x000000000a067229 / / 0x004e0c0000000806 / /0370/ DFMA R6, R8, c[0x2][0x0], R6 ; / 0x0080000008067a2b / / 0x001e0c0000000006 / /0380/ F2F.F32.F64 R17, R6 ; / 0x0000000600117310 / / 0x0010620000301000 / /0390/ @P0 BRA 0x300 ; / 0xffffff6000000947 / / 0x000fea000383ffff / /03a0/ STS [R0.X4], R17 ; / 0x0000001100007388 / / 0x0023e80000004800 / /03b0/ STS [R0.X4+0x1000], R15 ; / 0x0010000f00007388 / / 0x0003e40000004800 / /03c0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /03d0/ LDS R5, [R0.X4] ; / 0x0000000000057984 / / 0x001e280000004800 / /03e0/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x001fe2000c101904 / /03f0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0400/ BRA 0x400; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0410/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0420/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0430/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0440/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0450/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0460/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0470/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0480/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0490/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z14do_math_kernelPfS_S_ii .globl _Z14do_math_kernelPfS_S_ii .p2align 8 .type _Z14do_math_kernelPfS_S_ii,@function _Z14do_math_kernelPfS_S_ii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b128 s[4:7], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_load_b32 s2, s[0:1], 0x18 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[3:4], 2, v[1:2] v_add_co_u32 v1, vcc_lo, s4, v3 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v2, vcc_lo, s5, v4, vcc_lo v_add_co_u32 v3, vcc_lo, s6, v3 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v4, vcc_lo s_waitcnt lgkmcnt(0) s_cmp_lt_i32 s2, 1 global_load_b32 v5, v[1:2], off global_load_b32 v4, v[3:4], off v_lshlrev_b32_e32 v3, 2, v0 s_delay_alu instid0(VALU_DEP_1) v_or_b32_e32 v0, 0x1000, v3 s_waitcnt vmcnt(0) ds_store_2addr_stride64_b32 v3, v4, v5 offset1:16 s_cbranch_scc1 .LBB0_4 ds_load_b32 v5, v0 ds_load_b32 v4, v3 s_mov_b32 s1, 0xbfc70a3d s_brev_b32 s0, 1 .LBB0_2: s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_dual_mov_b32 v7, v4 :: v_dual_mov_b32 v4, v5 s_add_i32 s2, s2, -1 s_cmp_eq_u32 s2, 0 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_cvt_f64_f32_e32 v[7:8], v7 v_cvt_f64_f32_e32 v[5:6], v4 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f64 v[7:8], v[5:6], 2.0, -v[7:8] v_fma_f64 v[5:6], v[5:6], s[0:1], v[7:8] s_delay_alu instid0(VALU_DEP_1) v_cvt_f32_f64_e32 v5, v[5:6] s_cbranch_scc0 .LBB0_2 ds_store_b32 v0, v5 ds_store_b32 v3, v4 .LBB0_4: s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v0, v0 s_waitcnt lgkmcnt(0) global_store_b32 v[1:2], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z14do_math_kernelPfS_S_ii .amdhsa_group_segment_fixed_size 8192 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 9 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z14do_math_kernelPfS_S_ii, .Lfunc_end0-_Z14do_math_kernelPfS_S_ii .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 28 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 8192 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z14do_math_kernelPfS_S_ii .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z14do_math_kernelPfS_S_ii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 9 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0015fe2f_00000000-6_wave.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2067: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2067: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC0: .string "Enter number of points along vibrating string [%d-%d]: " .section .rodata.str1.1,"aMS",@progbits,1 .LC1: .string "%s" .section .rodata.str1.8 .align 8 .LC2: .string "Invalid. Please enter value between %d and %d\n" .align 8 .LC3: .string "Enter number of time steps [1-%d]: " .align 8 .LC4: .string "Invalid. Please enter value between 1 and %d\n" .align 8 .LC5: .string "Using points = %d, steps = %d\n" .text .globl _Z11check_paramv .type _Z11check_paramv, @function _Z11check_paramv: .LFB2057: .cfi_startproc endbr64 pushq %r12 .cfi_def_cfa_offset 16 .cfi_offset 12, -16 pushq %rbp .cfi_def_cfa_offset 24 .cfi_offset 6, -24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset 3, -32 subq $32, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 24(%rsp) xorl %eax, %eax leaq .LC0(%rip), %r12 movq %rsp, %rbx leaq .LC1(%rip), %rbp .L5: movl tpoints(%rip), %eax subl $20, %eax cmpl $999980, %eax jbe .L14 movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rsi movq %rbp, %rdi movl $0, %eax call __isoc23_scanf@PLT movl $10, %edx movl $0, %esi movq %rbx, %rdi call __isoc23_strtol@PLT movl %eax, tpoints(%rip) subl $20, %eax cmpl $999980, %eax jbe .L5 movl $1000000, %ecx movl $20, %edx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L5 .L14: leaq .LC3(%rip), %r12 movq %rsp, %rbx leaq .LC1(%rip), %rbp .L8: movl nsteps(%rip), %ecx leal -1(%rcx), %eax cmpl $999999, %eax jbe .L15 movl $1000000, %edx movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rsi movq %rbp, %rdi movl $0, %eax call __isoc23_scanf@PLT movl $10, %edx movl $0, %esi movq %rbx, %rdi call __isoc23_strtol@PLT movl %eax, nsteps(%rip) subl $1, %eax cmpl $999999, %eax jbe .L8 movl $1000000, %edx leaq .LC4(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L8 .L15: movl tpoints(%rip), %edx leaq .LC5(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 24(%rsp), %rax subq %fs:40, %rax jne .L16 addq $32, %rsp .cfi_remember_state .cfi_def_cfa_offset 32 popq %rbx .cfi_def_cfa_offset 24 popq %rbp .cfi_def_cfa_offset 16 popq %r12 .cfi_def_cfa_offset 8 ret .L16: .cfi_restore_state call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z11check_paramv, .-_Z11check_paramv .globl _Z9init_linev .type _Z9init_linev, @function _Z9init_linev: .LFB2058: .cfi_startproc endbr64 pushq %r14 .cfi_def_cfa_offset 16 .cfi_offset 14, -16 pushq %r13 .cfi_def_cfa_offset 24 .cfi_offset 13, -24 pushq %r12 .cfi_def_cfa_offset 32 .cfi_offset 12, -32 pushq %rbp .cfi_def_cfa_offset 40 .cfi_offset 6, -40 pushq %rbx .cfi_def_cfa_offset 48 .cfi_offset 3, -48 subq $16, %rsp .cfi_def_cfa_offset 64 movl tpoints(%rip), %eax leal -1(%rax), %edx pxor %xmm3, %xmm3 cvtsi2ssl %edx, %xmm3 movss %xmm3, 12(%rsp) testl %eax, %eax jle .L17 leaq 4+values(%rip), %rbx leaq 4+v(%rip), %r12 leal -1(%rax), %r13d leaq 4(%rbx), %rax leaq (%rax,%r13,4), %r14 movl $0x00000000, %ebp .L19: movd %ebp, %xmm0 divss 12(%rsp), %xmm0 mulss .LC7(%rip), %xmm0 call sinf@PLT movss %xmm0, (%rbx) movss %xmm0, (%r12) movd %ebp, %xmm1 addss .LC8(%rip), %xmm1 movd %xmm1, %ebp addq $4, %rbx addq $4, %r12 cmpq %r14, %rbx jne .L19 addq $2, %r13 movl $1, %eax leaq oldval(%rip), %rdi leaq values(%rip), %rsi leaq o(%rip), %rcx leaq v(%rip), %rdx .L20: movss (%rsi,%rax,4), %xmm0 movss %xmm0, (%rdi,%rax,4) movss (%rdx,%rax,4), %xmm0 movss %xmm0, (%rcx,%rax,4) addq $1, %rax cmpq %r13, %rax jne .L20 .L17: addq $16, %rsp .cfi_def_cfa_offset 48 popq %rbx .cfi_def_cfa_offset 40 popq %rbp .cfi_def_cfa_offset 32 popq %r12 .cfi_def_cfa_offset 24 popq %r13 .cfi_def_cfa_offset 16 popq %r14 .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2058: .size _Z9init_linev, .-_Z9init_linev .globl _Z7do_mathi .type _Z7do_mathi, @function _Z7do_mathi: .LFB2059: .cfi_startproc endbr64 movslq %edi, %rdi leaq values(%rip), %rax pxor %xmm1, %xmm1 cvtss2sd (%rax,%rdi,4), %xmm1 movapd %xmm1, %xmm0 addsd %xmm1, %xmm0 leaq oldval(%rip), %rax pxor %xmm2, %xmm2 cvtss2sd (%rax,%rdi,4), %xmm2 subsd %xmm2, %xmm0 mulsd .LC9(%rip), %xmm1 addsd %xmm1, %xmm0 cvtsd2ss %xmm0, %xmm0 leaq newval(%rip), %rax movss %xmm0, (%rax,%rdi,4) ret .cfi_endproc .LFE2059: .size _Z7do_mathi, .-_Z7do_mathi .globl _Z6updatev .type _Z6updatev, @function _Z6updatev: .LFB2061: .cfi_startproc endbr64 pushq %r14 .cfi_def_cfa_offset 16 .cfi_offset 14, -16 pushq %r13 .cfi_def_cfa_offset 24 .cfi_offset 13, -24 pushq %r12 .cfi_def_cfa_offset 32 .cfi_offset 12, -32 pushq %rbp .cfi_def_cfa_offset 40 .cfi_offset 6, -40 pushq %rbx .cfi_def_cfa_offset 48 .cfi_offset 3, -48 movl $1, %r14d leaq newval(%rip), %r12 leaq oldval(%rip), %r13 leaq values(%rip), %rbp cmpl $0, nsteps(%rip) jg .L26 .L25: popq %rbx .cfi_remember_state .cfi_def_cfa_offset 40 popq %rbp .cfi_def_cfa_offset 32 popq %r12 .cfi_def_cfa_offset 24 popq %r13 .cfi_def_cfa_offset 16 popq %r14 .cfi_def_cfa_offset 8 ret .L36: .cfi_restore_state movl $0x00000000, (%r12,%rbx,4) .L30: movl tpoints(%rip), %eax addq $1, %rbx cmpl %ebx, %eax jl .L42 .L31: cmpl %ebx, %eax je .L36 cmpl $1, %ebx je .L36 movl %ebx, %edi call _Z7do_mathi jmp .L30 .L42: testl %eax, %eax jle .L32 leal 1(%rax), %edx movl $1, %eax .L33: movss 0(%rbp,%rax,4), %xmm0 movss %xmm0, 0(%r13,%rax,4) movss (%r12,%rax,4), %xmm0 movss %xmm0, 0(%rbp,%rax,4) addq $1, %rax cmpq %rdx, %rax jne .L33 .L32: addl $1, %r14d cmpl %r14d, nsteps(%rip) jl .L25 .L26: movl tpoints(%rip), %eax movl $1, %ebx testl %eax, %eax jg .L31 jmp .L32 .cfi_endproc .LFE2061: .size _Z6updatev, .-_Z6updatev .section .rodata.str1.1 .LC10: .string "%6.4f " .LC11: .string "\n" .text .globl _Z10printfinalv .type _Z10printfinalv, @function _Z10printfinalv: .LFB2062: .cfi_startproc endbr64 cmpl $0, tpoints(%rip) jle .L49 pushq %r13 .cfi_def_cfa_offset 16 .cfi_offset 13, -16 pushq %r12 .cfi_def_cfa_offset 24 .cfi_offset 12, -24 pushq %rbp .cfi_def_cfa_offset 32 .cfi_offset 6, -32 pushq %rbx .cfi_def_cfa_offset 40 .cfi_offset 3, -40 subq $8, %rsp .cfi_def_cfa_offset 48 movl $1, %ebx leaq values(%rip), %r12 leaq .LC10(%rip), %rbp leaq .LC11(%rip), %r13 jmp .L46 .L45: addq $1, %rbx cmpl %ebx, tpoints(%rip) jl .L52 .L46: pxor %xmm0, %xmm0 cvtss2sd (%r12,%rbx,4), %xmm0 movq %rbp, %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movslq %ebx, %rax imulq $1717986919, %rax, %rax sarq $34, %rax movl %ebx, %edx sarl $31, %edx subl %edx, %eax leal (%rax,%rax,4), %eax addl %eax, %eax cmpl %ebx, %eax jne .L45 movq %r13, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L45 .L52: addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %rbp .cfi_def_cfa_offset 24 popq %r12 .cfi_def_cfa_offset 16 popq %r13 .cfi_def_cfa_offset 8 ret .L49: .cfi_restore 3 .cfi_restore 6 .cfi_restore 12 .cfi_restore 13 ret .cfi_endproc .LFE2062: .size _Z10printfinalv, .-_Z10printfinalv .section .rodata.str1.1 .LC12: .string "right\n" .LC13: .string "%d are wrong\n" .text .globl _Z12check_answerv .type _Z12check_answerv, @function _Z12check_answerv: .LFB2063: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movl tpoints(%rip), %eax testl %eax, %eax jle .L54 leal 1(%rax), %edi movl $1, %eax movl $0, %esi movl $0, %r8d leaq values(%rip), %rcx leaq v(%rip), %rdx movl $1, %r9d jmp .L57 .L60: addl $1, %esi movl %r9d, %r8d .L55: addq $1, %rax cmpq %rax, %rdi je .L63 .L57: movss (%rcx,%rax,4), %xmm0 ucomiss (%rdx,%rax,4), %xmm0 jp .L60 je .L55 jmp .L60 .L63: testl %r8d, %r8d je .L54 movl %esi, %edx leaq .LC13(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT jmp .L53 .L54: leaq .LC12(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT .L53: addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2063: .size _Z12check_answerv, .-_Z12check_answerv .globl _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii .type _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii, @function _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii: .LFB2089: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movl %ecx, 4(%rsp) movl %r8d, (%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movq %rsp, %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L68 .L64: movq 136(%rsp), %rax subq %fs:40, %rax jne .L69 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L68: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z14do_math_kernelPfS_S_ii(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L64 .L69: call __stack_chk_fail@PLT .cfi_endproc .LFE2089: .size _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii, .-_Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii .globl _Z14do_math_kernelPfS_S_ii .type _Z14do_math_kernelPfS_S_ii, @function _Z14do_math_kernelPfS_S_ii: .LFB2090: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2090: .size _Z14do_math_kernelPfS_S_ii, .-_Z14do_math_kernelPfS_S_ii .globl _Z14updateOnDevicev .type _Z14updateOnDevicev, @function _Z14updateOnDevicev: .LFB2060: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 subq $64, %rsp .cfi_def_cfa_offset 80 movq %fs:40, %rax movq %rax, 56(%rsp) xorl %eax, %eax movl tpoints(%rip), %eax leal -8(,%rax,4), %ebx movslq %ebx, %rbx leaq 8(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx leaq 8+values(%rip), %rsi movq 8(%rsp), %rdi call cudaMemcpy@PLT leaq 16(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx leaq 8+oldval(%rip), %rsi movq 16(%rsp), %rdi call cudaMemcpy@PLT leaq 24(%rsp), %rdi movq %rbx, %rsi call cudaMalloc@PLT movl tpoints(%rip), %edx movl $1024, %eax cmpl %eax, %edx cmovle %edx, %eax movl %eax, 32(%rsp) movl $1, 36(%rsp) leal 1023(%rdx), %eax testl %edx, %edx cmovns %edx, %eax sarl $10, %eax addl $1, %eax movl %eax, 44(%rsp) movl $1, 48(%rsp) movl $0, %r9d movl $0, %r8d movq 32(%rsp), %rdx movl $1, %ecx movq 44(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L76 .L73: movl $2, %ecx movq %rbx, %rdx movq 8(%rsp), %rsi leaq 8+values(%rip), %rdi call cudaMemcpy@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 16(%rsp), %rdi call cudaFree@PLT movq 24(%rsp), %rdi call cudaFree@PLT movq 56(%rsp), %rax subq %fs:40, %rax jne .L77 addq $64, %rsp .cfi_remember_state .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 ret .L76: .cfi_restore_state movl tpoints(%rip), %r8d movl nsteps(%rip), %ecx movq 24(%rsp), %rdx movq 16(%rsp), %rsi movq 8(%rsp), %rdi call _Z40__device_stub__Z14do_math_kernelPfS_S_iiPfS_S_ii jmp .L73 .L77: call __stack_chk_fail@PLT .cfi_endproc .LFE2060: .size _Z14updateOnDevicev, .-_Z14updateOnDevicev .section .rodata.str1.1 .LC14: .string "%d" .section .rodata.str1.8 .align 8 .LC15: .string "Initializing points on the line...\n" .align 8 .LC16: .string "Updating all points for all time steps...\n" .section .rodata.str1.1 .LC17: .string "Printing final results...\n" .LC18: .string "\nDone.\n\n" .text .globl main .type main, @function main: .LFB2064: .cfi_startproc endbr64 pushq %rbp .cfi_def_cfa_offset 16 .cfi_offset 6, -16 pushq %rbx .cfi_def_cfa_offset 24 .cfi_offset 3, -24 subq $8, %rsp .cfi_def_cfa_offset 32 movq %rsi, %rbx movq 8(%rsi), %rdi leaq tpoints(%rip), %rdx leaq .LC14(%rip), %rbp movq %rbp, %rsi movl $0, %eax call __isoc23_sscanf@PLT movq 16(%rbx), %rdi leaq nsteps(%rip), %rdx movq %rbp, %rsi movl $0, %eax call __isoc23_sscanf@PLT call _Z11check_paramv leaq .LC15(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z9init_linev leaq .LC16(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z14updateOnDevicev leaq .LC17(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT call _Z10printfinalv leaq .LC18(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $0, %eax addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2064: .size main, .-main .section .rodata.str1.1 .LC19: .string "_Z14do_math_kernelPfS_S_ii" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2092: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC19(%rip), %rdx movq %rdx, %rcx leaq _Z14do_math_kernelPfS_S_ii(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2092: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .globl n .bss .align 32 .type n, @object .size n, 4000008 n: .zero 4000008 .globl o .align 32 .type o, @object .size o, 4000008 o: .zero 4000008 .globl v .align 32 .type v, @object .size v, 4000008 v: .zero 4000008 .globl newval .align 32 .type newval, @object .size newval, 4000008 newval: .zero 4000008 .globl oldval .align 32 .type oldval, @object .size oldval, 4000008 oldval: .zero 4000008 .globl values .align 32 .type values, @object .size values, 4000008 values: .zero 4000008 .globl rcode .align 4 .type rcode, @object .size rcode, 4 rcode: .zero 4 .globl tpoints .align 4 .type tpoints, @object .size tpoints, 4 tpoints: .zero 4 .globl nsteps .align 4 .type nsteps, @object .size nsteps, 4 nsteps: .zero 4 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC7: .long 1086918619 .align 4 .LC8: .long 1065353216 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC9: .long -2147483648 .long -1077474755 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "wave.hip" .globl _Z11check_paramv # -- Begin function _Z11check_paramv .p2align 4, 0x90 .type _Z11check_paramv,@function _Z11check_paramv: # @_Z11check_paramv .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %rbx .cfi_def_cfa_offset 24 subq $24, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -24 .cfi_offset %rbp, -16 movl $-1000001, %ebp # imm = 0xFFF0BDBF movl tpoints(%rip), %eax addl %ebp, %eax cmpl $-999982, %eax # imm = 0xFFF0BDD2 ja .LBB0_5 # %bb.1: movq %rsp, %rbx jmp .LBB0_2 .p2align 4, 0x90 .LBB0_4: # in Loop: Header=BB0_2 Depth=1 movl tpoints(%rip), %eax addl %ebp, %eax cmpl $-999981, %eax # imm = 0xFFF0BDD3 jae .LBB0_5 .LBB0_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movl $.L.str, %edi xorl %eax, %eax callq printf movl $.L.str.1, %edi movq %rbx, %rsi xorl %eax, %eax callq __isoc23_scanf movq %rbx, %rdi xorl %esi, %esi movl $10, %edx callq __isoc23_strtol movl %eax, tpoints(%rip) addl $-1000001, %eax # imm = 0xFFF0BDBF cmpl $-999982, %eax # imm = 0xFFF0BDD2 ja .LBB0_4 # %bb.3: # in Loop: Header=BB0_2 Depth=1 movl $.L.str.2, %edi movl $20, %esi movl $1000000, %edx # imm = 0xF4240 xorl %eax, %eax callq printf jmp .LBB0_4 .LBB0_5: # %.preheader movl nsteps(%rip), %edx leal -1000001(%rdx), %eax cmpl $-1000001, %eax # imm = 0xFFF0BDBF ja .LBB0_10 # %bb.6: movq %rsp, %rbx jmp .LBB0_7 .p2align 4, 0x90 .LBB0_9: # in Loop: Header=BB0_7 Depth=1 movl nsteps(%rip), %edx leal -1000001(%rdx), %eax cmpl $-1000000, %eax # imm = 0xFFF0BDC0 jae .LBB0_10 .LBB0_7: # %.lr.ph4 # =>This Inner Loop Header: Depth=1 movl $.L.str.3, %edi movl $1000000, %esi # imm = 0xF4240 xorl %eax, %eax callq printf movl $.L.str.1, %edi movq %rbx, %rsi xorl %eax, %eax callq __isoc23_scanf movq %rbx, %rdi xorl %esi, %esi movl $10, %edx callq __isoc23_strtol movl %eax, nsteps(%rip) addl $-1000001, %eax # imm = 0xFFF0BDBF cmpl $-1000001, %eax # imm = 0xFFF0BDBF ja .LBB0_9 # %bb.8: # in Loop: Header=BB0_7 Depth=1 movl $.L.str.4, %edi movl $1000000, %esi # imm = 0xF4240 xorl %eax, %eax callq printf jmp .LBB0_9 .LBB0_10: # %._crit_edge movl tpoints(%rip), %esi movl $.L.str.5, %edi # kill: def $edx killed $edx killed $rdx xorl %eax, %eax callq printf addq $24, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end0: .size _Z11check_paramv, .Lfunc_end0-_Z11check_paramv .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function _Z9init_linev .LCPI1_0: .long 0x40c90fdb # float 6.28318548 .LCPI1_1: .long 0x3f800000 # float 1 .text .globl _Z9init_linev .p2align 4, 0x90 .type _Z9init_linev,@function _Z9init_linev: # @_Z9init_linev .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $16, %rsp .cfi_def_cfa_offset 32 .cfi_offset %rbx, -16 movl tpoints(%rip), %eax testl %eax, %eax jle .LBB1_3 # %bb.1: # %.lr.ph.preheader decl %eax cvtsi2ss %eax, %xmm0 movss %xmm0, 12(%rsp) # 4-byte Spill xorps %xmm0, %xmm0 xorl %ebx, %ebx .p2align 4, 0x90 .LBB1_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movss %xmm0, 8(%rsp) # 4-byte Spill movss 8(%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero divss 12(%rsp), %xmm0 # 4-byte Folded Reload mulss .LCPI1_0(%rip), %xmm0 callq sinf movss %xmm0, values+4(,%rbx,4) movss %xmm0, v+4(,%rbx,4) movss 8(%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero addss .LCPI1_1(%rip), %xmm0 movslq tpoints(%rip), %rax incq %rbx cmpq %rax, %rbx jl .LBB1_2 .LBB1_3: # %.preheader testl %eax, %eax jle .LBB1_4 # %bb.5: # %.lr.ph23.preheader movl %eax, %ebx shlq $2, %rbx movl $oldval+4, %edi movl $values+4, %esi movq %rbx, %rdx callq memcpy@PLT movl $o+4, %edi movl $v+4, %esi movq %rbx, %rdx addq $16, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp memcpy@PLT # TAILCALL .LBB1_4: # %._crit_edge .cfi_def_cfa_offset 32 addq $16, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size _Z9init_linev, .Lfunc_end1-_Z9init_linev .cfi_endproc # -- End function .globl _Z29__device_stub__do_math_kernelPfS_S_ii # -- Begin function _Z29__device_stub__do_math_kernelPfS_S_ii .p2align 4, 0x90 .type _Z29__device_stub__do_math_kernelPfS_S_ii,@function _Z29__device_stub__do_math_kernelPfS_S_ii: # @_Z29__device_stub__do_math_kernelPfS_S_ii .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movl %ecx, 4(%rsp) movl %r8d, (%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) movq %rsp, %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z14do_math_kernelPfS_S_ii, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end2: .size _Z29__device_stub__do_math_kernelPfS_S_ii, .Lfunc_end2-_Z29__device_stub__do_math_kernelPfS_S_ii .cfi_endproc # -- End function .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z7do_mathi .LCPI3_0: .quad 0xbfc70a3d80000000 # double -0.18000000715255737 .text .globl _Z7do_mathi .p2align 4, 0x90 .type _Z7do_mathi,@function _Z7do_mathi: # @_Z7do_mathi .cfi_startproc # %bb.0: movslq %edi, %rax movss values(,%rax,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movaps %xmm0, %xmm1 addsd %xmm0, %xmm1 movss oldval(,%rax,4), %xmm2 # xmm2 = mem[0],zero,zero,zero cvtss2sd %xmm2, %xmm2 subsd %xmm2, %xmm1 mulsd .LCPI3_0(%rip), %xmm0 addsd %xmm1, %xmm0 cvtsd2ss %xmm0, %xmm0 movss %xmm0, newval(,%rax,4) retq .Lfunc_end3: .size _Z7do_mathi, .Lfunc_end3-_Z7do_mathi .cfi_endproc # -- End function .globl _Z14updateOnDevicev # -- Begin function _Z14updateOnDevicev .p2align 4, 0x90 .type _Z14updateOnDevicev,@function _Z14updateOnDevicev: # @_Z14updateOnDevicev .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $160, %rsp .cfi_def_cfa_offset 176 .cfi_offset %rbx, -16 movl tpoints(%rip), %eax leal -8(,%rax,4), %eax movslq %eax, %rbx leaq 8(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movq 8(%rsp), %rdi movl $values+8, %esi movq %rbx, %rdx movl $1, %ecx callq hipMemcpy leaq 16(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movq 16(%rsp), %rdi movl $oldval+8, %esi movq %rbx, %rdx movl $1, %ecx callq hipMemcpy leaq 32(%rsp), %rdi movq %rbx, %rsi callq hipMalloc movl tpoints(%rip), %eax leal 1023(%rax), %edi testl %eax, %eax cmovnsl %eax, %edi sarl $10, %edi incl %edi cmpl $1024, %eax # imm = 0x400 movl $1024, %edx # imm = 0x400 cmovll %eax, %edx movabsq $4294967296, %rax # imm = 0x100000000 orq %rax, %rdx orq %rax, %rdi movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB4_2 # %bb.1: movq 8(%rsp), %rax movq 16(%rsp), %rcx movq 32(%rsp), %rdx movl nsteps(%rip), %esi movl tpoints(%rip), %edi movq %rax, 104(%rsp) movq %rcx, 96(%rsp) movq %rdx, 88(%rsp) movl %esi, 28(%rsp) movl %edi, 24(%rsp) leaq 104(%rsp), %rax movq %rax, 112(%rsp) leaq 96(%rsp), %rax movq %rax, 120(%rsp) leaq 88(%rsp), %rax movq %rax, 128(%rsp) leaq 28(%rsp), %rax movq %rax, 136(%rsp) leaq 24(%rsp), %rax movq %rax, 144(%rsp) leaq 72(%rsp), %rdi leaq 56(%rsp), %rsi leaq 48(%rsp), %rdx leaq 40(%rsp), %rcx callq __hipPopCallConfiguration movq 72(%rsp), %rsi movl 80(%rsp), %edx movq 56(%rsp), %rcx movl 64(%rsp), %r8d leaq 112(%rsp), %r9 movl $_Z14do_math_kernelPfS_S_ii, %edi pushq 40(%rsp) .cfi_adjust_cfa_offset 8 pushq 56(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB4_2: movq 8(%rsp), %rsi movl $values+8, %edi movq %rbx, %rdx movl $2, %ecx callq hipMemcpy movq 8(%rsp), %rdi callq hipFree movq 16(%rsp), %rdi callq hipFree movq 32(%rsp), %rdi callq hipFree addq $160, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .Lfunc_end4: .size _Z14updateOnDevicev, .Lfunc_end4-_Z14updateOnDevicev .cfi_endproc # -- End function .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z6updatev .LCPI5_0: .quad 0xbfc70a3d80000000 # double -0.18000000715255737 .text .globl _Z6updatev .p2align 4, 0x90 .type _Z6updatev,@function _Z6updatev: # @_Z6updatev .cfi_startproc # %bb.0: movl nsteps(%rip), %eax testl %eax, %eax jle .LBB5_12 # %bb.1: # %.preheader18.lr.ph movl tpoints(%rip), %ecx leal 1(%rcx), %edx leaq -4(,%rcx,4), %rsi leaq -4(,%rdx,4), %rdi shlq $2, %rdx movl $1, %r8d movsd .LCPI5_0(%rip), %xmm0 # xmm0 = mem[0],zero jmp .LBB5_2 .p2align 4, 0x90 .LBB5_11: # %._crit_edge # in Loop: Header=BB5_2 Depth=1 leal 1(%r8), %r9d cmpl %eax, %r8d movl %r9d, %r8d je .LBB5_12 .LBB5_2: # %.preheader18 # =>This Loop Header: Depth=1 # Child Loop BB5_4 Depth 2 # Child Loop BB5_10 Depth 2 testl %ecx, %ecx jle .LBB5_8 # %bb.3: # %.lr.ph.preheader # in Loop: Header=BB5_2 Depth=1 xorl %r9d, %r9d jmp .LBB5_4 .p2align 4, 0x90 .LBB5_7: # in Loop: Header=BB5_4 Depth=2 movss %xmm1, newval+4(%r9) addq $4, %r9 cmpq %r9, %rdi je .LBB5_8 .LBB5_4: # %.lr.ph # Parent Loop BB5_2 Depth=1 # => This Inner Loop Header: Depth=2 xorps %xmm1, %xmm1 testq %r9, %r9 je .LBB5_7 # %bb.5: # %.lr.ph # in Loop: Header=BB5_4 Depth=2 cmpq %r9, %rsi je .LBB5_7 # %bb.6: # in Loop: Header=BB5_4 Depth=2 movss values+4(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero cvtss2sd %xmm1, %xmm1 movaps %xmm1, %xmm2 addsd %xmm1, %xmm2 movss oldval+4(%r9), %xmm3 # xmm3 = mem[0],zero,zero,zero cvtss2sd %xmm3, %xmm3 subsd %xmm3, %xmm2 mulsd %xmm0, %xmm1 addsd %xmm2, %xmm1 cvtsd2ss %xmm1, %xmm1 jmp .LBB5_7 .p2align 4, 0x90 .LBB5_8: # %.preheader # in Loop: Header=BB5_2 Depth=1 testl %ecx, %ecx jle .LBB5_11 # %bb.9: # %.lr.ph23.preheader # in Loop: Header=BB5_2 Depth=1 movl $4, %r9d .p2align 4, 0x90 .LBB5_10: # %.lr.ph23 # Parent Loop BB5_2 Depth=1 # => This Inner Loop Header: Depth=2 movss values(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero movss %xmm1, oldval(%r9) movss newval(%r9), %xmm1 # xmm1 = mem[0],zero,zero,zero movss %xmm1, values(%r9) addq $4, %r9 cmpq %r9, %rdx jne .LBB5_10 jmp .LBB5_11 .LBB5_12: # %._crit_edge26 retq .Lfunc_end5: .size _Z6updatev, .Lfunc_end5-_Z6updatev .cfi_endproc # -- End function .globl _Z10printfinalv # -- Begin function _Z10printfinalv .p2align 4, 0x90 .type _Z10printfinalv,@function _Z10printfinalv: # @_Z10printfinalv .cfi_startproc # %bb.0: cmpl $0, tpoints(%rip) jle .LBB6_6 # %bb.1: # %.lr.ph.preheader pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %rbx .cfi_def_cfa_offset 40 pushq %rax .cfi_def_cfa_offset 48 .cfi_offset %rbx, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movl $1, %ebx xorl %r14d, %r14d movl $3435973837, %r15d # imm = 0xCCCCCCCD jmp .LBB6_2 .p2align 4, 0x90 .LBB6_4: # in Loop: Header=BB6_2 Depth=1 movslq tpoints(%rip), %rax incq %r14 incl %ebx cmpq %rax, %r14 jge .LBB6_5 .LBB6_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 movl %ebx, %eax imulq %r15, %rax shrq $35, %rax leal (%rax,%rax,4), %eax leal -1(,%rax,2), %ebp movss values+4(,%r14,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf cmpl %r14d, %ebp jne .LBB6_4 # %bb.3: # in Loop: Header=BB6_2 Depth=1 movl $10, %edi callq putchar@PLT jmp .LBB6_4 .LBB6_5: addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 .cfi_restore %rbx .cfi_restore %r14 .cfi_restore %r15 .cfi_restore %rbp .LBB6_6: # %._crit_edge retq .Lfunc_end6: .size _Z10printfinalv, .Lfunc_end6-_Z10printfinalv .cfi_endproc # -- End function .globl _Z12check_answerv # -- Begin function _Z12check_answerv .p2align 4, 0x90 .type _Z12check_answerv,@function _Z12check_answerv: # @_Z12check_answerv .cfi_startproc # %bb.0: movl tpoints(%rip), %eax testl %eax, %eax jle .LBB7_1 # %bb.5: # %.lr.ph.preheader leaq 4(,%rax,4), %rax xorl %esi, %esi movl $4, %ecx movl $1, %edx xorl %edi, %edi .p2align 4, 0x90 .LBB7_6: # %.lr.ph # =>This Inner Loop Header: Depth=1 movss values(%rcx), %xmm0 # xmm0 = mem[0],zero,zero,zero movss v(%rcx), %xmm1 # xmm1 = mem[0],zero,zero,zero ucomiss %xmm1, %xmm0 cmpneqss %xmm1, %xmm0 cmovnel %edx, %edi cmovpl %edx, %edi movd %xmm0, %r8d subl %r8d, %esi addq $4, %rcx cmpq %rcx, %rax jne .LBB7_6 # %bb.2: # %._crit_edge.loopexit testl %edi, %edi sete %al testb %al, %al je .LBB7_7 .LBB7_4: movl $.Lstr, %edi jmp puts@PLT # TAILCALL .LBB7_1: xorl %esi, %esi movb $1, %al testb %al, %al jne .LBB7_4 .LBB7_7: movl $.L.str.9, %edi xorl %eax, %eax jmp printf # TAILCALL .Lfunc_end7: .size _Z12check_answerv, .Lfunc_end7-_Z12check_answerv .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function main .LCPI8_0: .long 0x40c90fdb # float 6.28318548 .LCPI8_1: .long 0x3f800000 # float 1 .text .globl main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %rbx .cfi_def_cfa_offset 40 pushq %rax .cfi_def_cfa_offset 48 .cfi_offset %rbx, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movq %rsi, %rbx movq 8(%rsi), %rdi movl $.L.str.10, %esi movl $tpoints, %edx xorl %eax, %eax callq __isoc23_sscanf movq 16(%rbx), %rdi movl $.L.str.10, %esi movl $nsteps, %edx xorl %eax, %eax callq __isoc23_sscanf callq _Z11check_paramv movl $.Lstr.1, %edi callq puts@PLT movl tpoints(%rip), %eax testl %eax, %eax jle .LBB8_3 # %bb.1: # %.lr.ph.i.preheader decl %eax cvtsi2ss %eax, %xmm0 movss %xmm0, 4(%rsp) # 4-byte Spill xorps %xmm0, %xmm0 xorl %ebx, %ebx .p2align 4, 0x90 .LBB8_2: # %.lr.ph.i # =>This Inner Loop Header: Depth=1 movss %xmm0, (%rsp) # 4-byte Spill movss (%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero divss 4(%rsp), %xmm0 # 4-byte Folded Reload mulss .LCPI8_0(%rip), %xmm0 callq sinf movss %xmm0, values+4(,%rbx,4) movss %xmm0, v+4(,%rbx,4) movss (%rsp), %xmm0 # 4-byte Reload # xmm0 = mem[0],zero,zero,zero addss .LCPI8_1(%rip), %xmm0 movslq tpoints(%rip), %rax incq %rbx cmpq %rax, %rbx jl .LBB8_2 .LBB8_3: # %.preheader.i testl %eax, %eax jle .LBB8_5 # %bb.4: # %.lr.ph23.preheader.i movl %eax, %ebx shlq $2, %rbx movl $oldval+4, %edi movl $values+4, %esi movq %rbx, %rdx callq memcpy@PLT movl $o+4, %edi movl $v+4, %esi movq %rbx, %rdx callq memcpy@PLT .LBB8_5: # %_Z9init_linev.exit movl $.Lstr.2, %edi callq puts@PLT callq _Z14updateOnDevicev movl $.Lstr.3, %edi callq puts@PLT cmpl $0, tpoints(%rip) jle .LBB8_10 # %bb.6: # %.lr.ph.i5.preheader movl $1, %ebx xorl %r14d, %r14d movl $3435973837, %r15d # imm = 0xCCCCCCCD jmp .LBB8_7 .p2align 4, 0x90 .LBB8_9: # in Loop: Header=BB8_7 Depth=1 movslq tpoints(%rip), %rax incq %r14 incl %ebx cmpq %rax, %r14 jge .LBB8_10 .LBB8_7: # %.lr.ph.i5 # =>This Inner Loop Header: Depth=1 movl %ebx, %eax imulq %r15, %rax shrq $35, %rax leal (%rax,%rax,4), %eax leal -1(,%rax,2), %ebp movss values+4(,%r14,4), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf cmpl %r14d, %ebp jne .LBB8_9 # %bb.8: # in Loop: Header=BB8_7 Depth=1 movl $10, %edi callq putchar@PLT jmp .LBB8_9 .LBB8_10: # %_Z10printfinalv.exit movl $.Lstr.4, %edi callq puts@PLT xorl %eax, %eax addq $8, %rsp .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end8: .size main, .Lfunc_end8-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB9_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB9_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z14do_math_kernelPfS_S_ii, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end9: .size __hip_module_ctor, .Lfunc_end9-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB10_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB10_2: retq .Lfunc_end10: .size __hip_module_dtor, .Lfunc_end10-__hip_module_dtor .cfi_endproc # -- End function .type nsteps,@object # @nsteps .bss .globl nsteps .p2align 2, 0x0 nsteps: .long 0 # 0x0 .size nsteps, 4 .type tpoints,@object # @tpoints .globl tpoints .p2align 2, 0x0 tpoints: .long 0 # 0x0 .size tpoints, 4 .type rcode,@object # @rcode .globl rcode .p2align 2, 0x0 rcode: .long 0 # 0x0 .size rcode, 4 .type values,@object # @values .globl values .p2align 4, 0x0 values: .zero 4000008 .size values, 4000008 .type oldval,@object # @oldval .globl oldval .p2align 4, 0x0 oldval: .zero 4000008 .size oldval, 4000008 .type newval,@object # @newval .globl newval .p2align 4, 0x0 newval: .zero 4000008 .size newval, 4000008 .type v,@object # @v .globl v .p2align 4, 0x0 v: .zero 4000008 .size v, 4000008 .type o,@object # @o .globl o .p2align 4, 0x0 o: .zero 4000008 .size o, 4000008 .type n,@object # @n .globl n .p2align 4, 0x0 n: .zero 4000008 .size n, 4000008 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "Enter number of points along vibrating string [%d-%d]: " .size .L.str, 56 .type .L.str.1,@object # @.str.1 .L.str.1: .asciz "%s" .size .L.str.1, 3 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "Invalid. Please enter value between %d and %d\n" .size .L.str.2, 47 .type .L.str.3,@object # @.str.3 .L.str.3: .asciz "Enter number of time steps [1-%d]: " .size .L.str.3, 36 .type .L.str.4,@object # @.str.4 .L.str.4: .asciz "Invalid. Please enter value between 1 and %d\n" .size .L.str.4, 46 .type .L.str.5,@object # @.str.5 .L.str.5: .asciz "Using points = %d, steps = %d\n" .size .L.str.5, 31 .type _Z14do_math_kernelPfS_S_ii,@object # @_Z14do_math_kernelPfS_S_ii .section .rodata,"a",@progbits .globl _Z14do_math_kernelPfS_S_ii .p2align 3, 0x0 _Z14do_math_kernelPfS_S_ii: .quad _Z29__device_stub__do_math_kernelPfS_S_ii .size _Z14do_math_kernelPfS_S_ii, 8 .type .L.str.6,@object # @.str.6 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.6: .asciz "%6.4f " .size .L.str.6, 7 .type .L.str.9,@object # @.str.9 .L.str.9: .asciz "%d are wrong\n" .size .L.str.9, 14 .type .L.str.10,@object # @.str.10 .L.str.10: .asciz "%d" .size .L.str.10, 3 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z14do_math_kernelPfS_S_ii" .size .L__unnamed_1, 27 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .type .Lstr,@object # @str .section .rodata.str1.1,"aMS",@progbits,1 .Lstr: .asciz "right" .size .Lstr, 6 .type .Lstr.1,@object # @str.1 .Lstr.1: .asciz "Initializing points on the line..." .size .Lstr.1, 35 .type .Lstr.2,@object # @str.2 .Lstr.2: .asciz "Updating all points for all time steps..." .size .Lstr.2, 42 .type .Lstr.3,@object # @str.3 .Lstr.3: .asciz "Printing final results..." .size .Lstr.3, 26 .type .Lstr.4,@object # @str.4 .Lstr.4: .asciz "\nDone.\n" .size .Lstr.4, 8 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z29__device_stub__do_math_kernelPfS_S_ii .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym nsteps .addrsig_sym tpoints .addrsig_sym values .addrsig_sym oldval .addrsig_sym _Z14do_math_kernelPfS_S_ii .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/	code for sm_80
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/	.file "tmpxft_0012321c_00000000-6_cpugpuqueue.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2072: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2072: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2095: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2095: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/	.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .amdgpu_metadata --- amdhsa.kernels: [] amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	/* * * Copyright 1993-2012 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. / #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <sys/time.h> #include <unistd.h> #include <assert.h> #include <string.h> / #define IMG_DIMENSION 32 #define N_IMG_PAIRS 10000 #define NREQUESTS 6 #define N_STREMS 64 #define HIST_SIZE 256 typedef unsigned char uchar; #define OUT #define CUDA_CHECK(f) do { \ cudaError_t e = f; \ if (e != cudaSuccess) { \ printf("Cuda failure %s:%d: '%s'\n", __FILE__, __LINE__, cudaGetErrorString(e)); \ exit(1); \ } \ } while (0) #define SQR(a) ((a) * (a)) #define QUEUE_SIZE 10 __device__ __host__ bool is_in_image_bounds(int i, int j) { return (i >= 0) && (i < IMG_DIMENSION) && (j >= 0) && (j < IMG_DIMENSION); } __device__ __host__ uchar local_binary_pattern(uchar image, int i, int j) { uchar center = image[i IMG_DIMENSION + j]; uchar pattern = 0; if (is_in_image_bounds(i - 1, j - 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j - 1)] >= center) << 7; if (is_in_image_bounds(i - 1, j )) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j )] >= center) << 6; if (is_in_image_bounds(i - 1, j + 1)) pattern \|= (image[(i - 1) * IMG_DIMENSION + (j + 1)] >= center) << 5; if (is_in_image_bounds(i , j + 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j + 1)] >= center) << 4; if (is_in_image_bounds(i + 1, j + 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j + 1)] >= center) << 3; if (is_in_image_bounds(i + 1, j )) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j )] >= center) << 2; if (is_in_image_bounds(i + 1, j - 1)) pattern \|= (image[(i + 1) * IMG_DIMENSION + (j - 1)] >= center) << 1; if (is_in_image_bounds(i , j - 1)) pattern \|= (image[(i ) * IMG_DIMENSION + (j - 1)] >= center) << 0; return pattern; } __device__ void gpu_image_to_histogram(uchar image, int histogram) { uchar pattern = local_binary_pattern(image, threadIdx.x / IMG_DIMENSION, threadIdx.x % IMG_DIMENSION); atomicAdd(&histogram[pattern], 1); } __device__ void gpu_histogram_distance(int h1, int h2, double distance) { int length = 256; int tid = threadIdx.x; if(tid<length){ distance[tid] = 0; if (h1[tid] + h2[tid] != 0) { distance[tid] = ((double)SQR(h1[tid] - h2[tid])) / (h1[tid] + h2[tid]); } h1[tid] = h2[tid]=0; } __syncthreads(); while (length > 1) { if (threadIdx.x < length / 2) { distance[tid] = distance[tid] + distance[tid + length / 2]; } length /= 2; __syncthreads(); } } void image_to_histogram(uchar image, int histogram) { memset(histogram, 0, sizeof(int) 256); for (int i = 0; i < IMG_DIMENSION; i++) { for (int j = 0; j < IMG_DIMENSION; j++) { uchar pattern = local_binary_pattern(image, i, j); histogram[pattern]++; } } } double histogram_distance(int h1, int h2) { /* we'll use the chi-square distance // double distance = 0; for (int i = 0; i < 256; i++) { if (h1[i] + h2[i] != 0) { distance += ((double)SQR(h1[i] - h2[i])) / (h1[i] + h2[i]); } } return distance; } double static inline get_time_msec(void) { struct timeval t; gettimeofday(&t, NULL); return t.tv_sec * 1e+3 + t.tv_usec * 1e-3; } /* we won't load actual files. just fill the images with random bytes // void load_image_pairs(uchar images1, uchar images2) { srand(0); for (int i = 0; i < N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION; i++) { images1[i] = rand() % 256; images2[i] = rand() % 256; } } /***********************************************/ /***CLASSproducerconsumerqueue**/ /**********************************************// class cpu2gpuQueue { public: cpu2gpuQueue():size(QUEUE_SIZE),head(0),tail(0){/printf("head=%d\tsize=%d\n",head,size)//;} ~cpu2gpuQueue(){} __device__ __host__ cpu2gpuQueue& operator=(const cpu2gpuQueue& rhs); __host__ int produce(uchar imag1,uchar* imag2); __device__ int consume(uchar* images); private: volatile int size; volatile int head; volatile int tail; uchar q[QUEUE_SIZESQR(IMG_DIMENSION)]; }; __device__ __host__ cpu2gpuQueue& cpu2gpuQueue::operator=(const cpu2gpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZESQR(IMG_DIMENSION)sizeof(rhs.q)); return this; } __device__ int cpu2gpuQueue::consume(uchar images) { if(!threadIdx.x) { printf("cpu2gpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } if(!(tail<head))return 0; /int i; for(i=threadIdx.x;i<2SQR(IMG_DIMENSION);i+=gridDim.x) images[i]=q[(tail%QUEUE_SIZE)2SQR(IMG_DIMENSION)+i];// //make sure all threads copied before increasing the value of tail __syncthreads(); if(!threadIdx.x) { size++; tail++; printf("gpu size=%d\n",size); __threadfence_system(); } // __syncthreads(); return 1; } __host__ int cpu2gpuQueue::produce(uchar* imag1,uchar* imag2) { if(!(head<size)){ //printf("head=%d\tsize=%d\ttrue\n",head,size); return 0; } memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)],imag1,SQR(IMG_DIMENSION)sizeof(uchar)); memcpy(&q[(head%QUEUE_SIZE)2SQR(IMG_DIMENSION)+SQR(IMG_DIMENSION)],imag2,SQR(IMG_DIMENSION)sizeof(uchar)); head++; return 1; } class gpu2cpuQueue { public: gpu2cpuQueue():size(QUEUE_SIZE),head(0),tail(0){} ~gpu2cpuQueue(){} __device__ __host__ gpu2cpuQueue& operator=(const gpu2cpuQueue& rhs); __device__ int produce(double distance); __host__ int consume(double* distance); void testadd(){size++;} void test(){ for(int i=0;i<QUEUE_SIZE;i++) printf("%f\t",q[i]); printf("\n"); } private: volatile int size; volatile int head; volatile int tail; double q[QUEUE_SIZE]; }; __device__ __host__ gpu2cpuQueue& gpu2cpuQueue::operator=(const gpu2cpuQueue& rhs) { this->head=rhs.head; this->size=rhs.size; this->tail=rhs.tail; memcpy(this->q,rhs.q,QUEUE_SIZEsizeof(rhs.q)); return this; } static int x=0; __host__ int gpu2cpuQueue::consume(double distance) { if((!(x%100))&&x<500){ printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); } x++; if(!(tail<head))return 0; distance=q[(tail%QUEUE_SIZE)]; printf("gpu2cpuQueue::consume\n"); printf("tail=%d\thead=%d\n",tail,head); printf("distance=%f\n",distance); printf("size=%d\n",size); size++; tail++; return 1; } __device__ int gpu2cpuQueue::produce(double distance) { if(!(head<size)) return 0; if(threadIdx.x) return 1; printf("gpu size=%d\t(head%QUEUE_SIZE)=%d\n",size,(head%QUEUE_SIZE)); q[(head%QUEUE_SIZE)]=distance; //printf("before\n"); //printf("distance=%f\n",distance); __threadfence_system(); //printf("after\n"); head++; __threadfence_system(); return 1; } struct QP{ cpu2gpuQueue cpugpu; gpu2cpuQueue gpucpu; }; __global__ void test(struct QP* Ptr){ int i; if(!threadIdx.x) printf("test kernel\n"); __shared__ uchar images[2SQR(IMG_DIMENSION)]; __shared__ int hist1[HIST_SIZE],hist2[HIST_SIZE]; __shared__ double distance[HIST_SIZE]; //if(threadIdx.x<HIST_SIZE) //hist1[threadIdx.x]=hist2[threadIdx.x]=0; //if(!threadIdx.x) printf("test kernel\n"); for(int i=0;i<NREQUESTS;i++) { //if(!threadIdx.x)printf("gpu loop i=%d\n",i); while(!Ptr->cpugpu.consume(images)); if(!threadIdx.x)printf("gpu loop i=%d\n",i); //gpu_image_to_histogram(images,hist1); //gpu_image_to_histogram(images+SQR(IMG_DIMENSION),hist2); //__syncthreads(); //gpu_histogram_distance(hist1,hist2,distance); //while(!Ptr->gpucpu.produce(distance[0])); while(!Ptr->gpucpu.produce((double)i)); __syncthreads(); } } __global__ void test1(int Ptr) { int i; for(int i=0;i<NREQUESTS;++i) Ptr[i]=i; printf("kernel finish\n"); return; } int main(void) { uchar images1; uchar images2; CUDA_CHECK( cudaHostAlloc(&images1, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); CUDA_CHECK( cudaHostAlloc(&images2, N_IMG_PAIRS * IMG_DIMENSION * IMG_DIMENSION, 0) ); load_image_pairs(images1, images2); double t_start, t_finish; double total_distance=0,distance=0; int i=NREQUESTS,finished=0; struct QP cpuqp,gpuqp; CUDA_CHECK( cudaHostAlloc(&cpuqp, sizeof(struct QP), cudaHostAllocWriteCombined) ); cpuqp->cpugpu=cpu2gpuQueue(); cpuqp->gpucpu=gpu2cpuQueue(); CUDA_CHECK( cudaHostGetDevicePointer(&gpuqp,cpuqp,0) ); printf("\n=== CPU ===\n"); int histogram1[256]; int histogram2[256]; t_start = get_time_msec(); for (int i = 0; i < NREQUESTS; i++) { int img_idx = i % N_IMG_PAIRS; image_to_histogram(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram1); image_to_histogram(&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION], histogram2); total_distance += histogram_distance(histogram1, histogram2); } t_finish = get_time_msec(); printf("average distance between images %f\n", total_distance / NREQUESTS); printf("throughput = %lf (req/sec)\n", NREQUESTS / (t_finish - t_start) * 1e+3); total_distance=0; test<<<1, 1024>>>(gpuqp); cpuqp->gpucpu.testadd(); //printf("after\n"); for(int i=0;i<NREQUESTS;i++) { printf("cpu loop i=%d\n",i); distance=0; if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } int img_idx = i % N_IMG_PAIRS,j; //for(j=0;j<SQR(IMG_DIMENSION);++j)printf("%d%d",images1[img_idx * IMG_DIMENSION * IMG_DIMENSION+j],images2[img_idx * IMG_DIMENSION * IMG_DIMENSION+j]); //printf("\n"); while(!cpuqp->cpugpu.produce(&images1[img_idx * IMG_DIMENSION * IMG_DIMENSION],&images2[img_idx * IMG_DIMENSION * IMG_DIMENSION])); cpuqp->gpucpu.test(); } printf("finish loop\n"); /while(finished<NREQUESTS) { if(cpuqp->gpucpu.consume(&distance)) { //printf("distance=%f\n",distance); total_distance+=distance; finished++; printf("finished=%d\n",finished); } }//* printf("finish loop 2\n"); CUDA_CHECK( cudaDeviceSynchronize()); cpuqp->gpucpu.test(); printf("average distance between images %f\n", total_distance / NREQUESTS); return 0; }*/	.text .file "cpugpuqueue.hip" .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80	.text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .amdgpu_metadata --- amdhsa.kernels: [] amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0012321c_00000000-6_cpugpuqueue.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2072: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2072: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2095: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2095: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "cpugpuqueue.hip" .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <cuda_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c cudaMalloc((void )&d_a, size); cudaMalloc((void )&d_b, size); cudaMalloc((void *)&d_c, size); // Copy inputs to device cudaMemcpy(d_a, &a, size, cudaMemcpyHostToDevice); cudaMemcpy(d_b, &b, size, cudaMemcpyHostToDevice); float time; cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); cudaDeviceSynchronize(); cudaEventRecord(stop, 0); cudaEventSynchronize(stop); cudaEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); cudaEventDestroy(start); cudaEventDestroy(stop); // Copy result back to host cudaMemcpy(&c, d_c, size, cudaMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) cudaFree(d_a); if(d_b) cudaFree(d_b); if(d_c) cudaFree(d_c); return 0; }	code for sm_80 Function : _Z10add_kernelPiS_S_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ IMAD.MOV.U32 R2, RZ, RZ, c[0x0][0x160] ; / 0x00005800ff027624 / / 0x000fe200078e00ff / /0020/ MOV R5, c[0x0][0x16c] ; / 0x00005b0000057a02 / / 0x000fe20000000f00 / /0030/ IMAD.MOV.U32 R4, RZ, RZ, c[0x0][0x168] ; / 0x00005a00ff047624 / / 0x000fe200078e00ff / /0040/ MOV R3, c[0x0][0x164] ; / 0x0000590000037a02 / / 0x000fe20000000f00 / /0050/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc60000000a00 / /0060/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /0070/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x000ea2000c1e1900 / /0080/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x170] ; / 0x00005c00ff067624 / / 0x000fe200078e00ff / /0090/ MOV R7, c[0x0][0x174] ; / 0x00005d0000077a02 / / 0x000fe40000000f00 / /00a0/ IADD3 R9, R2, R5, RZ ; / 0x0000000502097210 / / 0x004fca0007ffe0ff / /00b0/ STG.E [R6.64], R9 ; / 0x0000000906007986 / / 0x000fe2000c101904 / /00c0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00d0/ BRA 0xd0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <cuda_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c cudaMalloc((void )&d_a, size); cudaMalloc((void )&d_b, size); cudaMalloc((void *)&d_c, size); // Copy inputs to device cudaMemcpy(d_a, &a, size, cudaMemcpyHostToDevice); cudaMemcpy(d_b, &b, size, cudaMemcpyHostToDevice); float time; cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); cudaDeviceSynchronize(); cudaEventRecord(stop, 0); cudaEventSynchronize(stop); cudaEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); cudaEventDestroy(start); cudaEventDestroy(stop); // Copy result back to host cudaMemcpy(&c, d_c, size, cudaMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) cudaFree(d_a); if(d_b) cudaFree(d_b); if(d_c) cudaFree(d_c); return 0; }	.file "tmpxft_00012949_00000000-6_add.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ .type _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_, @function _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_: .LFB2082: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 120(%rsp), %rax subq %fs:40, %rax jne .L8 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10add_kernelPiS_S_(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2082: .size _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_, .-_Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ .globl _Z10add_kernelPiS_S_ .type _Z10add_kernelPiS_S_, @function _Z10add_kernelPiS_S_: .LFB2083: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2083: .size _Z10add_kernelPiS_S_, .-_Z10add_kernelPiS_S_ .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "My First CUDA Application\n" .LC1: .string "Time to generate: %3.1f ms \n" .LC2: .string "Result is: %d\n" .text .globl main .type main, @function main: .LFB2057: .cfi_startproc endbr64 subq $104, %rsp .cfi_def_cfa_offset 112 movq %fs:40, %rax movq %rax, 88(%rsp) xorl %eax, %eax leaq .LC0(%rip), %rsi movl $2, %edi call __printf_chk@PLT movl $10, 12(%rsp) movl $20, 16(%rsp) movl $0, 20(%rsp) leaq 24(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 32(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 40(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 12(%rsp), %rsi movl $1, %ecx movl $4, %edx movq 24(%rsp), %rdi call cudaMemcpy@PLT leaq 16(%rsp), %rsi movl $1, %ecx movl $4, %edx movq 32(%rsp), %rdi call cudaMemcpy@PLT leaq 48(%rsp), %rdi call cudaEventCreate@PLT leaq 56(%rsp), %rdi call cudaEventCreate@PLT movl $0, %esi movq 48(%rsp), %rdi call cudaEventRecord@PLT movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $0, %r9d movl $0, %r8d movq 76(%rsp), %rdx movl $1, %ecx movq 64(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L18 .L12: call cudaDeviceSynchronize@PLT movl $0, %esi movq 56(%rsp), %rdi call cudaEventRecord@PLT movq 56(%rsp), %rdi call cudaEventSynchronize@PLT leaq 76(%rsp), %rdi movq 56(%rsp), %rdx movq 48(%rsp), %rsi call cudaEventElapsedTime@PLT pxor %xmm0, %xmm0 cvtss2sd 76(%rsp), %xmm0 leaq .LC1(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movq 48(%rsp), %rdi call cudaEventDestroy@PLT movq 56(%rsp), %rdi call cudaEventDestroy@PLT leaq 20(%rsp), %rdi movl $2, %ecx movl $4, %edx movq 40(%rsp), %rsi call cudaMemcpy@PLT movl 20(%rsp), %edx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 24(%rsp), %rdi testq %rdi, %rdi je .L13 call cudaFree@PLT .L13: movq 32(%rsp), %rdi testq %rdi, %rdi je .L14 call cudaFree@PLT .L14: movq 40(%rsp), %rdi testq %rdi, %rdi je .L15 call cudaFree@PLT .L15: movq 88(%rsp), %rax subq %fs:40, %rax jne .L19 movl $0, %eax addq $104, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L18: .cfi_restore_state movq 40(%rsp), %rdx movq 32(%rsp), %rsi movq 24(%rsp), %rdi call _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ jmp .L12 .L19: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size main, .-main .section .rodata.str1.1 .LC3: .string "_Z10add_kernelPiS_S_" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2085: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC3(%rip), %rdx movq %rdx, %rcx leaq _Z10add_kernelPiS_S_(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2085: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <cuda_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c cudaMalloc((void )&d_a, size); cudaMalloc((void )&d_b, size); cudaMalloc((void *)&d_c, size); // Copy inputs to device cudaMemcpy(d_a, &a, size, cudaMemcpyHostToDevice); cudaMemcpy(d_b, &b, size, cudaMemcpyHostToDevice); float time; cudaEvent_t start, stop; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); cudaDeviceSynchronize(); cudaEventRecord(stop, 0); cudaEventSynchronize(stop); cudaEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); cudaEventDestroy(start); cudaEventDestroy(stop); // Copy result back to host cudaMemcpy(&c, d_c, size, cudaMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) cudaFree(d_a); if(d_b) cudaFree(d_b); if(d_c) cudaFree(d_c); return 0; }	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <hip/hip_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c hipMalloc((void )&d_a, size); hipMalloc((void )&d_b, size); hipMalloc((void *)&d_c, size); // Copy inputs to device hipMemcpy(d_a, &a, size, hipMemcpyHostToDevice); hipMemcpy(d_b, &b, size, hipMemcpyHostToDevice); float time; hipEvent_t start, stop; hipEventCreate(&start); hipEventCreate(&stop); hipEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); hipDeviceSynchronize(); hipEventRecord(stop, 0); hipEventSynchronize(stop); hipEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); hipEventDestroy(start); hipEventDestroy(stop); // Copy result back to host hipMemcpy(&c, d_c, size, hipMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) hipFree(d_a); if(d_b) hipFree(d_b); if(d_c) hipFree(d_c); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <hip/hip_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c hipMalloc((void )&d_a, size); hipMalloc((void )&d_b, size); hipMalloc((void *)&d_c, size); // Copy inputs to device hipMemcpy(d_a, &a, size, hipMemcpyHostToDevice); hipMemcpy(d_b, &b, size, hipMemcpyHostToDevice); float time; hipEvent_t start, stop; hipEventCreate(&start); hipEventCreate(&stop); hipEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); hipDeviceSynchronize(); hipEventRecord(stop, 0); hipEventSynchronize(stop); hipEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); hipEventDestroy(start); hipEventDestroy(stop); // Copy result back to host hipMemcpy(&c, d_c, size, hipMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) hipFree(d_a); if(d_b) hipFree(d_b); if(d_c) hipFree(d_c); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10add_kernelPiS_S_ .globl _Z10add_kernelPiS_S_ .p2align 8 .type _Z10add_kernelPiS_S_,@function _Z10add_kernelPiS_S_: s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[0:1], s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_load_b32 s2, s[4:5], 0x0 s_load_b32 s3, s[6:7], 0x0 s_waitcnt lgkmcnt(0) s_add_i32 s2, s3, s2 s_delay_alu instid0(SALU_CYCLE_1) v_dual_mov_b32 v0, 0 :: v_dual_mov_b32 v1, s2 global_store_b32 v0, v1, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z10add_kernelPiS_S_ .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 24 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 8 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z10add_kernelPiS_S_, .Lfunc_end0-_Z10add_kernelPiS_S_ .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 24 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z10add_kernelPiS_S_ .private_segment_fixed_size: 0 .sgpr_count: 8 .sgpr_spill_count: 0 .symbol: _Z10add_kernelPiS_S_.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	/* * How to compile (assume cuda is installed at /usr/local/cuda/) * nvcc add.cu * ./a.out * / #include <stdio.h> #include <stdlib.h> #include <assert.h> #include <hip/hip_runtime.h> __global__ void add_kernel(int a, int* b, intc){ c = a + b; } int main(void) { printf("My First CUDA Application\n"); int a, b, c; int d_a, d_b, d_c; a = 10; b=20; c=0; int size = sizeof(int); // Allocate space for device copies of a, b, c hipMalloc((void )&d_a, size); hipMalloc((void )&d_b, size); hipMalloc((void *)&d_c, size); // Copy inputs to device hipMemcpy(d_a, &a, size, hipMemcpyHostToDevice); hipMemcpy(d_b, &b, size, hipMemcpyHostToDevice); float time; hipEvent_t start, stop; hipEventCreate(&start); hipEventCreate(&stop); hipEventRecord(start, 0); // Launch add() kernel on GPU add_kernel<<<1, 1>>>(d_a, d_b, d_c); hipDeviceSynchronize(); hipEventRecord(stop, 0); hipEventSynchronize(stop); hipEventElapsedTime(&time, start, stop); printf("Time to generate: %3.1f ms \n", time); hipEventDestroy(start); hipEventDestroy(stop); // Copy result back to host hipMemcpy(&c, d_c, size, hipMemcpyDeviceToHost); printf("Result is: %d\n", c); // Cleanup if(d_a) hipFree(d_a); if(d_b) hipFree(d_b); if(d_c) hipFree(d_c); return 0; }	.text .file "add.hip" .globl _Z25__device_stub__add_kernelPiS_S_ # -- Begin function _Z25__device_stub__add_kernelPiS_S_ .p2align 4, 0x90 .type _Z25__device_stub__add_kernelPiS_S_,@function _Z25__device_stub__add_kernelPiS_S_: # @_Z25__device_stub__add_kernelPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10add_kernelPiS_S_, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end0: .size _Z25__device_stub__add_kernelPiS_S_, .Lfunc_end0-_Z25__device_stub__add_kernelPiS_S_ .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $168, %rsp .cfi_def_cfa_offset 176 movl $.Lstr, %edi callq puts@PLT movl $10, 60(%rsp) movl $20, 56(%rsp) movl $0, 12(%rsp) leaq 48(%rsp), %rdi movl $4, %esi callq hipMalloc leaq 40(%rsp), %rdi movl $4, %esi callq hipMalloc leaq 32(%rsp), %rdi movl $4, %esi callq hipMalloc movq 48(%rsp), %rdi leaq 60(%rsp), %rsi movl $4, %edx movl $1, %ecx callq hipMemcpy movq 40(%rsp), %rdi leaq 56(%rsp), %rsi movl $4, %edx movl $1, %ecx callq hipMemcpy leaq 24(%rsp), %rdi callq hipEventCreate leaq 16(%rsp), %rdi callq hipEventCreate movq 24(%rsp), %rdi xorl %esi, %esi callq hipEventRecord movabsq $4294967297, %rdi # imm = 0x100000001 movl $1, %esi movq %rdi, %rdx movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_2 # %bb.1: movq 48(%rsp), %rax movq 40(%rsp), %rcx movq 32(%rsp), %rdx movq %rax, 160(%rsp) movq %rcx, 152(%rsp) movq %rdx, 144(%rsp) leaq 160(%rsp), %rax movq %rax, 64(%rsp) leaq 152(%rsp), %rax movq %rax, 72(%rsp) leaq 144(%rsp), %rax movq %rax, 80(%rsp) leaq 128(%rsp), %rdi leaq 112(%rsp), %rsi leaq 104(%rsp), %rdx leaq 96(%rsp), %rcx callq __hipPopCallConfiguration movq 128(%rsp), %rsi movl 136(%rsp), %edx movq 112(%rsp), %rcx movl 120(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z10add_kernelPiS_S_, %edi pushq 96(%rsp) .cfi_adjust_cfa_offset 8 pushq 112(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_2: callq hipDeviceSynchronize movq 16(%rsp), %rdi xorl %esi, %esi callq hipEventRecord movq 16(%rsp), %rdi callq hipEventSynchronize movq 24(%rsp), %rsi movq 16(%rsp), %rdx leaq 64(%rsp), %rdi callq hipEventElapsedTime movss 64(%rsp), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.1, %edi movb $1, %al callq printf movq 24(%rsp), %rdi callq hipEventDestroy movq 16(%rsp), %rdi callq hipEventDestroy movq 32(%rsp), %rsi leaq 12(%rsp), %rdi movl $4, %edx movl $2, %ecx callq hipMemcpy movl 12(%rsp), %esi movl $.L.str.2, %edi xorl %eax, %eax callq printf movq 48(%rsp), %rdi testq %rdi, %rdi je .LBB1_4 # %bb.3: callq hipFree .LBB1_4: movq 40(%rsp), %rdi testq %rdi, %rdi je .LBB1_6 # %bb.5: callq hipFree .LBB1_6: movq 32(%rsp), %rdi testq %rdi, %rdi je .LBB1_8 # %bb.7: callq hipFree .LBB1_8: xorl %eax, %eax addq $168, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10add_kernelPiS_S_, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z10add_kernelPiS_S_,@object # @_Z10add_kernelPiS_S_ .section .rodata,"a",@progbits .globl _Z10add_kernelPiS_S_ .p2align 3, 0x0 _Z10add_kernelPiS_S_: .quad _Z25__device_stub__add_kernelPiS_S_ .size _Z10add_kernelPiS_S_, 8 .type .L.str.1,@object # @.str.1 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.1: .asciz "Time to generate: %3.1f ms \n" .size .L.str.1, 30 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "Result is: %d\n" .size .L.str.2, 15 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z10add_kernelPiS_S_" .size .L__unnamed_1, 21 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .type .Lstr,@object # @str .section .rodata.str1.1,"aMS",@progbits,1 .Lstr: .asciz "My First CUDA Application" .size .Lstr, 26 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__add_kernelPiS_S_ .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10add_kernelPiS_S_ .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z10add_kernelPiS_S_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ IMAD.MOV.U32 R2, RZ, RZ, c[0x0][0x160] ; / 0x00005800ff027624 / / 0x000fe200078e00ff / /0020/ MOV R5, c[0x0][0x16c] ; / 0x00005b0000057a02 / / 0x000fe20000000f00 / /0030/ IMAD.MOV.U32 R4, RZ, RZ, c[0x0][0x168] ; / 0x00005a00ff047624 / / 0x000fe200078e00ff / /0040/ MOV R3, c[0x0][0x164] ; / 0x0000590000037a02 / / 0x000fe20000000f00 / /0050/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc60000000a00 / /0060/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /0070/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x000ea2000c1e1900 / /0080/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x170] ; / 0x00005c00ff067624 / / 0x000fe200078e00ff / /0090/ MOV R7, c[0x0][0x174] ; / 0x00005d0000077a02 / / 0x000fe40000000f00 / /00a0/ IADD3 R9, R2, R5, RZ ; / 0x0000000502097210 / / 0x004fca0007ffe0ff / /00b0/ STG.E [R6.64], R9 ; / 0x0000000906007986 / / 0x000fe2000c101904 / /00c0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00d0/ BRA 0xd0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10add_kernelPiS_S_ .globl _Z10add_kernelPiS_S_ .p2align 8 .type _Z10add_kernelPiS_S_,@function _Z10add_kernelPiS_S_: s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[0:1], s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_load_b32 s2, s[4:5], 0x0 s_load_b32 s3, s[6:7], 0x0 s_waitcnt lgkmcnt(0) s_add_i32 s2, s3, s2 s_delay_alu instid0(SALU_CYCLE_1) v_dual_mov_b32 v0, 0 :: v_dual_mov_b32 v1, s2 global_store_b32 v0, v1, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z10add_kernelPiS_S_ .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 24 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 8 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z10add_kernelPiS_S_, .Lfunc_end0-_Z10add_kernelPiS_S_ .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 24 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z10add_kernelPiS_S_ .private_segment_fixed_size: 0 .sgpr_count: 8 .sgpr_spill_count: 0 .symbol: _Z10add_kernelPiS_S_.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_00012949_00000000-6_add.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ .type _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_, @function _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_: .LFB2082: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 120(%rsp), %rax subq %fs:40, %rax jne .L8 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10add_kernelPiS_S_(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2082: .size _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_, .-_Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ .globl _Z10add_kernelPiS_S_ .type _Z10add_kernelPiS_S_, @function _Z10add_kernelPiS_S_: .LFB2083: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2083: .size _Z10add_kernelPiS_S_, .-_Z10add_kernelPiS_S_ .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "My First CUDA Application\n" .LC1: .string "Time to generate: %3.1f ms \n" .LC2: .string "Result is: %d\n" .text .globl main .type main, @function main: .LFB2057: .cfi_startproc endbr64 subq $104, %rsp .cfi_def_cfa_offset 112 movq %fs:40, %rax movq %rax, 88(%rsp) xorl %eax, %eax leaq .LC0(%rip), %rsi movl $2, %edi call __printf_chk@PLT movl $10, 12(%rsp) movl $20, 16(%rsp) movl $0, 20(%rsp) leaq 24(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 32(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 40(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT leaq 12(%rsp), %rsi movl $1, %ecx movl $4, %edx movq 24(%rsp), %rdi call cudaMemcpy@PLT leaq 16(%rsp), %rsi movl $1, %ecx movl $4, %edx movq 32(%rsp), %rdi call cudaMemcpy@PLT leaq 48(%rsp), %rdi call cudaEventCreate@PLT leaq 56(%rsp), %rdi call cudaEventCreate@PLT movl $0, %esi movq 48(%rsp), %rdi call cudaEventRecord@PLT movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $0, %r9d movl $0, %r8d movq 76(%rsp), %rdx movl $1, %ecx movq 64(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L18 .L12: call cudaDeviceSynchronize@PLT movl $0, %esi movq 56(%rsp), %rdi call cudaEventRecord@PLT movq 56(%rsp), %rdi call cudaEventSynchronize@PLT leaq 76(%rsp), %rdi movq 56(%rsp), %rdx movq 48(%rsp), %rsi call cudaEventElapsedTime@PLT pxor %xmm0, %xmm0 cvtss2sd 76(%rsp), %xmm0 leaq .LC1(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movq 48(%rsp), %rdi call cudaEventDestroy@PLT movq 56(%rsp), %rdi call cudaEventDestroy@PLT leaq 20(%rsp), %rdi movl $2, %ecx movl $4, %edx movq 40(%rsp), %rsi call cudaMemcpy@PLT movl 20(%rsp), %edx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 24(%rsp), %rdi testq %rdi, %rdi je .L13 call cudaFree@PLT .L13: movq 32(%rsp), %rdi testq %rdi, %rdi je .L14 call cudaFree@PLT .L14: movq 40(%rsp), %rdi testq %rdi, %rdi je .L15 call cudaFree@PLT .L15: movq 88(%rsp), %rax subq %fs:40, %rax jne .L19 movl $0, %eax addq $104, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L18: .cfi_restore_state movq 40(%rsp), %rdx movq 32(%rsp), %rsi movq 24(%rsp), %rdi call _Z34__device_stub__Z10add_kernelPiS_S_PiS_S_ jmp .L12 .L19: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size main, .-main .section .rodata.str1.1 .LC3: .string "_Z10add_kernelPiS_S_" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2085: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC3(%rip), %rdx movq %rdx, %rcx leaq _Z10add_kernelPiS_S_(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2085: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "add.hip" .globl _Z25__device_stub__add_kernelPiS_S_ # -- Begin function _Z25__device_stub__add_kernelPiS_S_ .p2align 4, 0x90 .type _Z25__device_stub__add_kernelPiS_S_,@function _Z25__device_stub__add_kernelPiS_S_: # @_Z25__device_stub__add_kernelPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10add_kernelPiS_S_, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end0: .size _Z25__device_stub__add_kernelPiS_S_, .Lfunc_end0-_Z25__device_stub__add_kernelPiS_S_ .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $168, %rsp .cfi_def_cfa_offset 176 movl $.Lstr, %edi callq puts@PLT movl $10, 60(%rsp) movl $20, 56(%rsp) movl $0, 12(%rsp) leaq 48(%rsp), %rdi movl $4, %esi callq hipMalloc leaq 40(%rsp), %rdi movl $4, %esi callq hipMalloc leaq 32(%rsp), %rdi movl $4, %esi callq hipMalloc movq 48(%rsp), %rdi leaq 60(%rsp), %rsi movl $4, %edx movl $1, %ecx callq hipMemcpy movq 40(%rsp), %rdi leaq 56(%rsp), %rsi movl $4, %edx movl $1, %ecx callq hipMemcpy leaq 24(%rsp), %rdi callq hipEventCreate leaq 16(%rsp), %rdi callq hipEventCreate movq 24(%rsp), %rdi xorl %esi, %esi callq hipEventRecord movabsq $4294967297, %rdi # imm = 0x100000001 movl $1, %esi movq %rdi, %rdx movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_2 # %bb.1: movq 48(%rsp), %rax movq 40(%rsp), %rcx movq 32(%rsp), %rdx movq %rax, 160(%rsp) movq %rcx, 152(%rsp) movq %rdx, 144(%rsp) leaq 160(%rsp), %rax movq %rax, 64(%rsp) leaq 152(%rsp), %rax movq %rax, 72(%rsp) leaq 144(%rsp), %rax movq %rax, 80(%rsp) leaq 128(%rsp), %rdi leaq 112(%rsp), %rsi leaq 104(%rsp), %rdx leaq 96(%rsp), %rcx callq __hipPopCallConfiguration movq 128(%rsp), %rsi movl 136(%rsp), %edx movq 112(%rsp), %rcx movl 120(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z10add_kernelPiS_S_, %edi pushq 96(%rsp) .cfi_adjust_cfa_offset 8 pushq 112(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_2: callq hipDeviceSynchronize movq 16(%rsp), %rdi xorl %esi, %esi callq hipEventRecord movq 16(%rsp), %rdi callq hipEventSynchronize movq 24(%rsp), %rsi movq 16(%rsp), %rdx leaq 64(%rsp), %rdi callq hipEventElapsedTime movss 64(%rsp), %xmm0 # xmm0 = mem[0],zero,zero,zero cvtss2sd %xmm0, %xmm0 movl $.L.str.1, %edi movb $1, %al callq printf movq 24(%rsp), %rdi callq hipEventDestroy movq 16(%rsp), %rdi callq hipEventDestroy movq 32(%rsp), %rsi leaq 12(%rsp), %rdi movl $4, %edx movl $2, %ecx callq hipMemcpy movl 12(%rsp), %esi movl $.L.str.2, %edi xorl %eax, %eax callq printf movq 48(%rsp), %rdi testq %rdi, %rdi je .LBB1_4 # %bb.3: callq hipFree .LBB1_4: movq 40(%rsp), %rdi testq %rdi, %rdi je .LBB1_6 # %bb.5: callq hipFree .LBB1_6: movq 32(%rsp), %rdi testq %rdi, %rdi je .LBB1_8 # %bb.7: callq hipFree .LBB1_8: xorl %eax, %eax addq $168, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10add_kernelPiS_S_, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z10add_kernelPiS_S_,@object # @_Z10add_kernelPiS_S_ .section .rodata,"a",@progbits .globl _Z10add_kernelPiS_S_ .p2align 3, 0x0 _Z10add_kernelPiS_S_: .quad _Z25__device_stub__add_kernelPiS_S_ .size _Z10add_kernelPiS_S_, 8 .type .L.str.1,@object # @.str.1 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.1: .asciz "Time to generate: %3.1f ms \n" .size .L.str.1, 30 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "Result is: %d\n" .size .L.str.2, 15 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z10add_kernelPiS_S_" .size .L__unnamed_1, 21 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .type .Lstr,@object # @str .section .rodata.str1.1,"aMS",@progbits,1 .Lstr: .asciz "My First CUDA Application" .size .Lstr, 26 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__add_kernelPiS_S_ .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10add_kernelPiS_S_ .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <thrust/host_vector.h> #include <thrust/device_vector.h> #include <thrust/generate.h> #include <thrust/sort.h> #include <thrust/copy.h> #include <algorithm> #include <cstdlib> int main(void) { // generate 100 random numbers serially thrust::host_vector<int> h_vec(100); std::generate(h_vec.begin(), h_vec.end(), rand); // transfer data to the device thrust::device_vector<int> d_vec = h_vec; // sort data on the device thrust::sort(d_vec.begin(), d_vec.end()); //@@ transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); // print h_vec for (int i = 0; i < h_vec.size(); i++) { printf("h_vec [%d] = %d\n", i, h_vec[i]); } return 0; }	#include <hip/hip_runtime.h> #include <thrust/host_vector.h> #include <thrust/device_vector.h> #include <thrust/generate.h> #include <thrust/sort.h> #include <thrust/copy.h> #include <algorithm> #include <cstdlib> int main(void) { // generate 100 random numbers serially thrust::host_vector<int> h_vec(100); std::generate(h_vec.begin(), h_vec.end(), rand); // transfer data to the device thrust::device_vector<int> d_vec = h_vec; // sort data on the device thrust::sort(d_vec.begin(), d_vec.end()); //@@ transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); // print h_vec for (int i = 0; i < h_vec.size(); i++) { printf("h_vec [%d] = %d\n", i, h_vec[i]); } return 0; }
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#define BLOCK_SIZE 256 #define SOFTENING 1e-9f typedef struct { float4 pos, vel; } BodySystem; void randomizeBodies(float data, int n) { for (int i = 0; i < n; i++) { data[i] = 2.0f (rand() / (float)RAND_MAX) - 1.0f; } } __global__ void applyForce(float4 p, float4 v, float4 d, float dt, int n) { int i = blockDim.x blockIdx.x + threadIdx.x; dt = 0.00001f; if (i < n) { d[i].x = dt; d[i].y = n; float Fx = 0.0f; float Fy = 0.0f; for (int tile = 0; tile < gridDim.x; tile++) { __shared__ float2 spos[BLOCK_SIZE]; float4 tpos = p[tile * blockDim.x + threadIdx.x]; spos[threadIdx.x] = make_float2(tpos.x, tpos.y); __syncthreads(); #pragma unroll for (int j = 0; j < BLOCK_SIZE; j++) { float dx = spos[j].x - p[i].x; float dy = spos[j].y - p[i].y; float distSqr = dxdx + dydy + SOFTENING; float invDist = rsqrtf(distSqr); float invDist3 = invDist * invDist * invDist; float strength = 1.0f; Fx += dx * invDist3 * strength; Fy += dy * invDist3 * strength; } __syncthreads(); } //v[i].x += 1.5f; v[i].x += dtFx; v[i].y += dtFy; p[i].x += v[i].xdt; p[i].y += v[i].ydt; } }	.file "tmpxft_000a9c1f_00000000-6_nbody.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2030: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2030: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z15randomizeBodiesPfi .type _Z15randomizeBodiesPfi, @function _Z15randomizeBodiesPfi: .LFB2027: .cfi_startproc endbr64 testl %esi, %esi jle .L8 pushq %rbp .cfi_def_cfa_offset 16 .cfi_offset 6, -16 pushq %rbx .cfi_def_cfa_offset 24 .cfi_offset 3, -24 subq $8, %rsp .cfi_def_cfa_offset 32 movq %rdi, %rbx movslq %esi, %rsi leaq (%rdi,%rsi,4), %rbp .L5: call rand@PLT pxor %xmm0, %xmm0 cvtsi2ssl %eax, %xmm0 mulss .LC0(%rip), %xmm0 addss %xmm0, %xmm0 subss .LC1(%rip), %xmm0 movss %xmm0, (%rbx) addq $4, %rbx cmpq %rbp, %rbx jne .L5 addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 ret .L8: .cfi_restore 3 .cfi_restore 6 ret .cfi_endproc .LFE2027: .size _Z15randomizeBodiesPfi, .-_Z15randomizeBodiesPfi .globl _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi .type _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi, @function _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi: .LFB2052: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movss %xmm0, 4(%rsp) movl %ecx, (%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movq %rsp, %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 136(%rsp), %rax subq %fs:40, %rax jne .L16 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10applyForceP6float4S0_S0_fi(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2052: .size _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi, .-_Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi .globl _Z10applyForceP6float4S0_S0_fi .type _Z10applyForceP6float4S0_S0_fi, @function _Z10applyForceP6float4S0_S0_fi: .LFB2053: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2053: .size _Z10applyForceP6float4S0_S0_fi, .-_Z10applyForceP6float4S0_S0_fi .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC2: .string "_Z10applyForceP6float4S0_S0_fi" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2055: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _Z10applyForceP6float4S0_S0_fi(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2055: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC0: .long 805306368 .align 4 .LC1: .long 1065353216 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#define BLOCK_SIZE 256 #define SOFTENING 1e-9f typedef struct { float4 pos, vel; } BodySystem; void randomizeBodies(float data, int n) { for (int i = 0; i < n; i++) { data[i] = 2.0f (rand() / (float)RAND_MAX) - 1.0f; } } __global__ void applyForce(float4 p, float4 v, float4 d, float dt, int n) { int i = blockDim.x blockIdx.x + threadIdx.x; dt = 0.00001f; if (i < n) { d[i].x = dt; d[i].y = n; float Fx = 0.0f; float Fy = 0.0f; for (int tile = 0; tile < gridDim.x; tile++) { __shared__ float2 spos[BLOCK_SIZE]; float4 tpos = p[tile * blockDim.x + threadIdx.x]; spos[threadIdx.x] = make_float2(tpos.x, tpos.y); __syncthreads(); #pragma unroll for (int j = 0; j < BLOCK_SIZE; j++) { float dx = spos[j].x - p[i].x; float dy = spos[j].y - p[i].y; float distSqr = dxdx + dydy + SOFTENING; float invDist = rsqrtf(distSqr); float invDist3 = invDist * invDist * invDist; float strength = 1.0f; Fx += dx * invDist3 * strength; Fy += dy * invDist3 * strength; } __syncthreads(); } //v[i].x += 1.5f; v[i].x += dtFx; v[i].y += dtFy; p[i].x += v[i].xdt; p[i].y += v[i].ydt; } }	#include <hip/hip_runtime.h> #define BLOCK_SIZE 256 #define SOFTENING 1e-9f typedef struct { float4 pos, vel; } BodySystem; void randomizeBodies(float data, int n) { for (int i = 0; i < n; i++) { data[i] = 2.0f (rand() / (float)RAND_MAX) - 1.0f; } } __global__ void applyForce(float4 p, float4 v, float4 d, float dt, int n) { int i = blockDim.x blockIdx.x + threadIdx.x; dt = 0.00001f; if (i < n) { d[i].x = dt; d[i].y = n; float Fx = 0.0f; float Fy = 0.0f; for (int tile = 0; tile < gridDim.x; tile++) { __shared__ float2 spos[BLOCK_SIZE]; float4 tpos = p[tile * blockDim.x + threadIdx.x]; spos[threadIdx.x] = make_float2(tpos.x, tpos.y); __syncthreads(); #pragma unroll for (int j = 0; j < BLOCK_SIZE; j++) { float dx = spos[j].x - p[i].x; float dy = spos[j].y - p[i].y; float distSqr = dxdx + dydy + SOFTENING; float invDist = rsqrtf(distSqr); float invDist3 = invDist * invDist * invDist; float strength = 1.0f; Fx += dx * invDist3 * strength; Fy += dy * invDist3 * strength; } __syncthreads(); } //v[i].x += 1.5f; v[i].x += dtFx; v[i].y += dtFy; p[i].x += v[i].xdt; p[i].y += v[i].ydt; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #define BLOCK_SIZE 256 #define SOFTENING 1e-9f typedef struct { float4 pos, vel; } BodySystem; void randomizeBodies(float data, int n) { for (int i = 0; i < n; i++) { data[i] = 2.0f (rand() / (float)RAND_MAX) - 1.0f; } } __global__ void applyForce(float4 p, float4 v, float4 d, float dt, int n) { int i = blockDim.x blockIdx.x + threadIdx.x; dt = 0.00001f; if (i < n) { d[i].x = dt; d[i].y = n; float Fx = 0.0f; float Fy = 0.0f; for (int tile = 0; tile < gridDim.x; tile++) { __shared__ float2 spos[BLOCK_SIZE]; float4 tpos = p[tile * blockDim.x + threadIdx.x]; spos[threadIdx.x] = make_float2(tpos.x, tpos.y); __syncthreads(); #pragma unroll for (int j = 0; j < BLOCK_SIZE; j++) { float dx = spos[j].x - p[i].x; float dy = spos[j].y - p[i].y; float distSqr = dxdx + dydy + SOFTENING; float invDist = rsqrtf(distSqr); float invDist3 = invDist * invDist * invDist; float strength = 1.0f; Fx += dx * invDist3 * strength; Fy += dy * invDist3 * strength; } __syncthreads(); } //v[i].x += 1.5f; v[i].x += dtFx; v[i].y += dtFy; p[i].x += v[i].xdt; p[i].y += v[i].ydt; } }	.text .file "nbody.hip" .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function _Z15randomizeBodiesPfi .LCPI0_0: .long 0x30000000 # float 4.65661287E-10 .LCPI0_1: .long 0xbf800000 # float -1 .text .globl _Z15randomizeBodiesPfi .p2align 4, 0x90 .type _Z15randomizeBodiesPfi,@function _Z15randomizeBodiesPfi: # @_Z15randomizeBodiesPfi .cfi_startproc # %bb.0: testl %esi, %esi jle .LBB0_4 # %bb.1: # %.lr.ph.preheader pushq %r15 .cfi_def_cfa_offset 16 pushq %r14 .cfi_def_cfa_offset 24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset %rbx, -32 .cfi_offset %r14, -24 .cfi_offset %r15, -16 movq %rdi, %rbx movl %esi, %r14d xorl %r15d, %r15d .p2align 4, 0x90 .LBB0_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 callq rand xorps %xmm0, %xmm0 cvtsi2ss %eax, %xmm0 mulss .LCPI0_0(%rip), %xmm0 addss %xmm0, %xmm0 addss .LCPI0_1(%rip), %xmm0 movss %xmm0, (%rbx,%r15,4) incq %r15 cmpq %r15, %r14 jne .LBB0_2 # %bb.3: popq %rbx .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 .cfi_restore %rbx .cfi_restore %r14 .cfi_restore %r15 .LBB0_4: # %._crit_edge retq .Lfunc_end0: .size _Z15randomizeBodiesPfi, .Lfunc_end0-_Z15randomizeBodiesPfi .cfi_endproc # -- End function .globl _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi # -- Begin function _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .p2align 4, 0x90 .type _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi,@function _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi: # @_Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movss %xmm0, 4(%rsp) movl %ecx, (%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) movq %rsp, %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end1: .size _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, .Lfunc_end1-_Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi,@object # @_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .section .rodata,"a",@progbits .globl _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .p2align 3, 0x0 _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi: .quad _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .size _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi" .size .L__unnamed_1, 48 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_000a9c1f_00000000-6_nbody.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2030: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2030: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z15randomizeBodiesPfi .type _Z15randomizeBodiesPfi, @function _Z15randomizeBodiesPfi: .LFB2027: .cfi_startproc endbr64 testl %esi, %esi jle .L8 pushq %rbp .cfi_def_cfa_offset 16 .cfi_offset 6, -16 pushq %rbx .cfi_def_cfa_offset 24 .cfi_offset 3, -24 subq $8, %rsp .cfi_def_cfa_offset 32 movq %rdi, %rbx movslq %esi, %rsi leaq (%rdi,%rsi,4), %rbp .L5: call rand@PLT pxor %xmm0, %xmm0 cvtsi2ssl %eax, %xmm0 mulss .LC0(%rip), %xmm0 addss %xmm0, %xmm0 subss .LC1(%rip), %xmm0 movss %xmm0, (%rbx) addq $4, %rbx cmpq %rbp, %rbx jne .L5 addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 ret .L8: .cfi_restore 3 .cfi_restore 6 ret .cfi_endproc .LFE2027: .size _Z15randomizeBodiesPfi, .-_Z15randomizeBodiesPfi .globl _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi .type _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi, @function _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi: .LFB2052: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movss %xmm0, 4(%rsp) movl %ecx, (%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movq %rsp, %rax movq %rax, 128(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 136(%rsp), %rax subq %fs:40, %rax jne .L16 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10applyForceP6float4S0_S0_fi(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2052: .size _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi, .-_Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi .globl _Z10applyForceP6float4S0_S0_fi .type _Z10applyForceP6float4S0_S0_fi, @function _Z10applyForceP6float4S0_S0_fi: .LFB2053: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z44__device_stub__Z10applyForceP6float4S0_S0_fiP6float4S0_S0_fi addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2053: .size _Z10applyForceP6float4S0_S0_fi, .-_Z10applyForceP6float4S0_S0_fi .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC2: .string "_Z10applyForceP6float4S0_S0_fi" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2055: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _Z10applyForceP6float4S0_S0_fi(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2055: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC0: .long 805306368 .align 4 .LC1: .long 1065353216 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "nbody.hip" .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function _Z15randomizeBodiesPfi .LCPI0_0: .long 0x30000000 # float 4.65661287E-10 .LCPI0_1: .long 0xbf800000 # float -1 .text .globl _Z15randomizeBodiesPfi .p2align 4, 0x90 .type _Z15randomizeBodiesPfi,@function _Z15randomizeBodiesPfi: # @_Z15randomizeBodiesPfi .cfi_startproc # %bb.0: testl %esi, %esi jle .LBB0_4 # %bb.1: # %.lr.ph.preheader pushq %r15 .cfi_def_cfa_offset 16 pushq %r14 .cfi_def_cfa_offset 24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset %rbx, -32 .cfi_offset %r14, -24 .cfi_offset %r15, -16 movq %rdi, %rbx movl %esi, %r14d xorl %r15d, %r15d .p2align 4, 0x90 .LBB0_2: # %.lr.ph # =>This Inner Loop Header: Depth=1 callq rand xorps %xmm0, %xmm0 cvtsi2ss %eax, %xmm0 mulss .LCPI0_0(%rip), %xmm0 addss %xmm0, %xmm0 addss .LCPI0_1(%rip), %xmm0 movss %xmm0, (%rbx,%r15,4) incq %r15 cmpq %r15, %r14 jne .LBB0_2 # %bb.3: popq %rbx .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 .cfi_restore %rbx .cfi_restore %r14 .cfi_restore %r15 .LBB0_4: # %._crit_edge retq .Lfunc_end0: .size _Z15randomizeBodiesPfi, .Lfunc_end0-_Z15randomizeBodiesPfi .cfi_endproc # -- End function .globl _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi # -- Begin function _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .p2align 4, 0x90 .type _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi,@function _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi: # @_Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movss %xmm0, 4(%rsp) movl %ecx, (%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) movq %rsp, %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end1: .size _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, .Lfunc_end1-_Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi,@object # @_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .section .rodata,"a",@progbits .globl _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .p2align 3, 0x0 _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi: .quad _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .size _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi" .size .L__unnamed_1, 48 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10applyForceP15HIP_vector_typeIfLj4EES1_S1_fi .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> #include <stdlib.h> #include <fstream> #include <iostream> #include <cmath> #include <string> using namespace std; //#define THREADS_PER_BLOCK 32 #define Mask_width 3 #define Mask_radius Mask_width/2 #define TILE_WIDTH 32 #define w (TILE_WIDTH + Mask_width - 1) #define clamp(x) (min(max((x), 0), 255)) void fillMatrix(int* a, int n) { int i; for (i = 0; i < nn; ++i) a[i] = 10;//rand()%5; } __global__ void matrixAdition(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; if(ij<(nn)) c[ij] = a[ij] + b[ij]; } __global__ void matrixAditionRow(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; // if(blockDim.x != 0) //printf("%d salida\n", ij); for(int i =0 ;i<n;i++) { if(ij<n) c[ijn+i] = a[ijn+i] + b[ijn+i]; } } __global__ void convolution_1D_basic_kernel(int R, int G, int B , int M, int sd_R, int sd_G, int sd_B, int Mask_Width , int Width) { int i = blockIdx.xblockDim.x + threadIdx.x; int r = 0; int g = 0; int b = 0; int N_start_point = i - (Mask_Width/2); for (int j = 0; j < Mask_Width; j++) { if (N_start_point + j >= 0 && N_start_point + j < Width) { r += R[N_start_point + j]M[j]; g += G[N_start_point + j]M[j]; b += B[N_start_point + j]M[j]; } } sd_R[i] = r; sd_G[i] = g; sd_B[i] = b; } __global__ void convolution(int I, const int __restrict__ M, int P, int channels, int width, int height) { __shared__ int N_ds[w][w]; int k; for (k = 0; k < channels; k++) { // First batch loading int dest = threadIdx.y TILE_WIDTH + threadIdx.x, destY = dest / w, destX = dest % w, srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius, srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius, src = (srcY * width + srcX) * channels + k; if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; // Second batch loading dest = threadIdx.y * TILE_WIDTH + threadIdx.x + TILE_WIDTH * TILE_WIDTH; destY = dest / w, destX = dest % w; srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius; srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius; src = (srcY * width + srcX) * channels + k; if (destY < w) { if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; } __syncthreads(); int accum = 0; int y, x; for (y = 0; y < Mask_width; y++) for (x = 0; x < Mask_width; x++) accum += N_ds[threadIdx.y + y][threadIdx.x + x] * M[y * Mask_width + x]; y = blockIdx.y * TILE_WIDTH + threadIdx.y; x = blockIdx.x * TILE_WIDTH + threadIdx.x; if (y < height && x < width) P[(y * width + x) * channels + k] = clamp(accum); __syncthreads(); } } __global__ void matrixAditionCol(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x blockIdx.x; for(int i =0 ;i<n;i++) { if(ij<n) c[ij+ni] = a[ij+ni] + b[ij+ni]; } } void printMatrix(string s, int a , int tam){ cout<<s; for(int i=0;i<tam;i++) { for(int j=0;j<tam;j++) { cout<<a[itam+j]<<" "; } cout<<endl; } } void ReadPPM(int Pin, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; // cout<<e1<<endl; //if(!e1) break; Pin[m]=e1; m++; } } void ReadPPM(int R,int G , int B, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; R[m]=e1; file>>e1; G[m]=e1; file>>e1; B[m]=e1; m++; } } int ReadSizeImg(char * name) { int * dim= new int[2]; int fil, col; string line,s1; ifstream file(name); getline(file,line); getline(file,line); file>>fil>>col; dim[0]=fil; dim[1]=col; return dim; } void WritePGM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P2"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<3n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int R, int* G,int B, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<R[i]<<endl; file<<G[i]<<endl; file<<B[i]<<endl; i++; } } void print_vect(int V, int n){ int i ; for (i = 0; i < n; i++) printf("%d ", V[i]); } int main(int argc, char argv[]) { int R;//,G,B; int * sR;//,sG,sB; int * d_R;//,d_G,d_B; int * sd_R;//,sd_G,sd_B; int * order = ReadSizeImg("img.pgm"); int N=order[0]; int M=order[1]; int THREADS_PER_BLOCK = 32; int size =3NMsizeof(int); cout<<"tamano Imagen "<<N<<" "<<M<<" size "<<size<<endl; int k[9]={-1,0,1,-2,0,2,-1,0,1}; int d_k; cudaMalloc((void )&d_R, size); cudaMalloc((void )&sd_R, size); cudaMalloc((void *)&d_k,9sizeof(int)); R = (int )malloc(size); ReadPPM(R,"img.pgm"); sR = (int )malloc(size); cudaMemcpy(d_R, R, size, cudaMemcpyHostToDevice); cudaMemcpy(d_k, k, 9*sizeof(int), cudaMemcpyHostToDevice); int blocks= (N + THREADS_PER_BLOCK -1)/THREADS_PER_BLOCK; dim3 dimGrid(blocks, blocks, 1); dim3 dimBlock(THREADS_PER_BLOCK,THREADS_PER_BLOCK, 1); cout<<"blocks : \n"<<blocks<<"\n threds: \n "<<THREADS_PER_BLOCK<<endl; convolution<<<dimGrid,dimBlock>>>(d_R, d_k ,sd_R,1, N, M); cudaMemcpy(sR, sd_R, size, cudaMemcpyDeviceToHost); cout<<"ss"<<endl; WritePGM(sR, N,M,"siete.ppm"); free(R); //free(G);free(B); cudaFree(d_R); //cudaFree(d_B);cudaFree(d_G); cudaFree(sd_R); //cudaFree(sd_B);cudaFree(sd_G); return 0; }	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <fstream> #include <iostream> #include <cmath> #include <string> using namespace std; //#define THREADS_PER_BLOCK 32 #define Mask_width 3 #define Mask_radius Mask_width/2 #define TILE_WIDTH 32 #define w (TILE_WIDTH + Mask_width - 1) #define clamp(x) (min(max((x), 0), 255)) void fillMatrix(int* a, int n) { int i; for (i = 0; i < nn; ++i) a[i] = 10;//rand()%5; } __global__ void matrixAdition(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; if(ij<(nn)) c[ij] = a[ij] + b[ij]; } __global__ void matrixAditionRow(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; // if(blockDim.x != 0) //printf("%d salida\n", ij); for(int i =0 ;i<n;i++) { if(ij<n) c[ijn+i] = a[ijn+i] + b[ijn+i]; } } __global__ void convolution_1D_basic_kernel(int R, int G, int B , int M, int sd_R, int sd_G, int sd_B, int Mask_Width , int Width) { int i = blockIdx.xblockDim.x + threadIdx.x; int r = 0; int g = 0; int b = 0; int N_start_point = i - (Mask_Width/2); for (int j = 0; j < Mask_Width; j++) { if (N_start_point + j >= 0 && N_start_point + j < Width) { r += R[N_start_point + j]M[j]; g += G[N_start_point + j]M[j]; b += B[N_start_point + j]M[j]; } } sd_R[i] = r; sd_G[i] = g; sd_B[i] = b; } __global__ void convolution(int I, const int __restrict__ M, int P, int channels, int width, int height) { __shared__ int N_ds[w][w]; int k; for (k = 0; k < channels; k++) { // First batch loading int dest = threadIdx.y TILE_WIDTH + threadIdx.x, destY = dest / w, destX = dest % w, srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius, srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius, src = (srcY * width + srcX) * channels + k; if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; // Second batch loading dest = threadIdx.y * TILE_WIDTH + threadIdx.x + TILE_WIDTH * TILE_WIDTH; destY = dest / w, destX = dest % w; srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius; srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius; src = (srcY * width + srcX) * channels + k; if (destY < w) { if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; } __syncthreads(); int accum = 0; int y, x; for (y = 0; y < Mask_width; y++) for (x = 0; x < Mask_width; x++) accum += N_ds[threadIdx.y + y][threadIdx.x + x] * M[y * Mask_width + x]; y = blockIdx.y * TILE_WIDTH + threadIdx.y; x = blockIdx.x * TILE_WIDTH + threadIdx.x; if (y < height && x < width) P[(y * width + x) * channels + k] = clamp(accum); __syncthreads(); } } __global__ void matrixAditionCol(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x blockIdx.x; for(int i =0 ;i<n;i++) { if(ij<n) c[ij+ni] = a[ij+ni] + b[ij+ni]; } } void printMatrix(string s, int a , int tam){ cout<<s; for(int i=0;i<tam;i++) { for(int j=0;j<tam;j++) { cout<<a[itam+j]<<" "; } cout<<endl; } } void ReadPPM(int Pin, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; // cout<<e1<<endl; //if(!e1) break; Pin[m]=e1; m++; } } void ReadPPM(int R,int G , int B, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; R[m]=e1; file>>e1; G[m]=e1; file>>e1; B[m]=e1; m++; } } int ReadSizeImg(char * name) { int * dim= new int[2]; int fil, col; string line,s1; ifstream file(name); getline(file,line); getline(file,line); file>>fil>>col; dim[0]=fil; dim[1]=col; return dim; } void WritePGM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P2"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<3n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int R, int* G,int B, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<R[i]<<endl; file<<G[i]<<endl; file<<B[i]<<endl; i++; } } void print_vect(int V, int n){ int i ; for (i = 0; i < n; i++) printf("%d ", V[i]); } int main(int argc, char argv[]) { int R;//,G,B; int * sR;//,sG,sB; int * d_R;//,d_G,d_B; int * sd_R;//,sd_G,sd_B; int * order = ReadSizeImg("img.pgm"); int N=order[0]; int M=order[1]; int THREADS_PER_BLOCK = 32; int size =3NMsizeof(int); cout<<"tamano Imagen "<<N<<" "<<M<<" size "<<size<<endl; int k[9]={-1,0,1,-2,0,2,-1,0,1}; int d_k; hipMalloc((void )&d_R, size); hipMalloc((void )&sd_R, size); hipMalloc((void *)&d_k,9sizeof(int)); R = (int )malloc(size); ReadPPM(R,"img.pgm"); sR = (int )malloc(size); hipMemcpy(d_R, R, size, hipMemcpyHostToDevice); hipMemcpy(d_k, k, 9*sizeof(int), hipMemcpyHostToDevice); int blocks= (N + THREADS_PER_BLOCK -1)/THREADS_PER_BLOCK; dim3 dimGrid(blocks, blocks, 1); dim3 dimBlock(THREADS_PER_BLOCK,THREADS_PER_BLOCK, 1); cout<<"blocks : \n"<<blocks<<"\n threds: \n "<<THREADS_PER_BLOCK<<endl; convolution<<<dimGrid,dimBlock>>>(d_R, d_k ,sd_R,1, N, M); hipMemcpy(sR, sd_R, size, hipMemcpyDeviceToHost); cout<<"ss"<<endl; WritePGM(sR, N,M,"siete.ppm"); free(R); //free(G);free(B); hipFree(d_R); //cudaFree(d_B);cudaFree(d_G); hipFree(sd_R); //cudaFree(sd_B);cudaFree(sd_G); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <fstream> #include <iostream> #include <cmath> #include <string> using namespace std; //#define THREADS_PER_BLOCK 32 #define Mask_width 3 #define Mask_radius Mask_width/2 #define TILE_WIDTH 32 #define w (TILE_WIDTH + Mask_width - 1) #define clamp(x) (min(max((x), 0), 255)) void fillMatrix(int* a, int n) { int i; for (i = 0; i < nn; ++i) a[i] = 10;//rand()%5; } __global__ void matrixAdition(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; if(ij<(nn)) c[ij] = a[ij] + b[ij]; } __global__ void matrixAditionRow(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x * blockIdx.x; // if(blockDim.x != 0) //printf("%d salida\n", ij); for(int i =0 ;i<n;i++) { if(ij<n) c[ijn+i] = a[ijn+i] + b[ijn+i]; } } __global__ void convolution_1D_basic_kernel(int R, int G, int B , int M, int sd_R, int sd_G, int sd_B, int Mask_Width , int Width) { int i = blockIdx.xblockDim.x + threadIdx.x; int r = 0; int g = 0; int b = 0; int N_start_point = i - (Mask_Width/2); for (int j = 0; j < Mask_Width; j++) { if (N_start_point + j >= 0 && N_start_point + j < Width) { r += R[N_start_point + j]M[j]; g += G[N_start_point + j]M[j]; b += B[N_start_point + j]M[j]; } } sd_R[i] = r; sd_G[i] = g; sd_B[i] = b; } __global__ void convolution(int I, const int __restrict__ M, int P, int channels, int width, int height) { __shared__ int N_ds[w][w]; int k; for (k = 0; k < channels; k++) { // First batch loading int dest = threadIdx.y TILE_WIDTH + threadIdx.x, destY = dest / w, destX = dest % w, srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius, srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius, src = (srcY * width + srcX) * channels + k; if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; // Second batch loading dest = threadIdx.y * TILE_WIDTH + threadIdx.x + TILE_WIDTH * TILE_WIDTH; destY = dest / w, destX = dest % w; srcY = blockIdx.y * TILE_WIDTH + destY - Mask_radius; srcX = blockIdx.x * TILE_WIDTH + destX - Mask_radius; src = (srcY * width + srcX) * channels + k; if (destY < w) { if (srcY >= 0 && srcY < height && srcX >= 0 && srcX < width) N_ds[destY][destX] = I[src]; else N_ds[destY][destX] = 0; } __syncthreads(); int accum = 0; int y, x; for (y = 0; y < Mask_width; y++) for (x = 0; x < Mask_width; x++) accum += N_ds[threadIdx.y + y][threadIdx.x + x] * M[y * Mask_width + x]; y = blockIdx.y * TILE_WIDTH + threadIdx.y; x = blockIdx.x * TILE_WIDTH + threadIdx.x; if (y < height && x < width) P[(y * width + x) * channels + k] = clamp(accum); __syncthreads(); } } __global__ void matrixAditionCol(int c, int a, int b,int n) { int ij = threadIdx.x + blockDim.x blockIdx.x; for(int i =0 ;i<n;i++) { if(ij<n) c[ij+ni] = a[ij+ni] + b[ij+ni]; } } void printMatrix(string s, int a , int tam){ cout<<s; for(int i=0;i<tam;i++) { for(int j=0;j<tam;j++) { cout<<a[itam+j]<<" "; } cout<<endl; } } void ReadPPM(int Pin, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; // cout<<e1<<endl; //if(!e1) break; Pin[m]=e1; m++; } } void ReadPPM(int R,int G , int B, char name) { int e1; string line,s1; ifstream file(name); getline(file,line); getline(file,line); getline(file,line); getline(file,line); int m=0; while(!file.eof()) { file>>e1; R[m]=e1; file>>e1; G[m]=e1; file>>e1; B[m]=e1; m++; } } int ReadSizeImg(char * name) { int * dim= new int[2]; int fil, col; string line,s1; ifstream file(name); getline(file,line); getline(file,line); file>>fil>>col; dim[0]=fil; dim[1]=col; return dim; } void WritePGM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P2"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int * Pout, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<3n) { file<<Pout[i]<<endl; i++; } } void WritePPM(int R, int* G,int B, int fil , int cols, char name) { ofstream file(name); file<<"P3"<<endl; file<<"# Function ConvertRGBtoGray @eddyrene"<<endl; file<<fil<<" "<<cols<<endl; file<<255<<endl; int n = filcols; int i=0; while(i<n) { file<<R[i]<<endl; file<<G[i]<<endl; file<<B[i]<<endl; i++; } } void print_vect(int V, int n){ int i ; for (i = 0; i < n; i++) printf("%d ", V[i]); } int main(int argc, char argv[]) { int R;//,G,B; int * sR;//,sG,sB; int * d_R;//,d_G,d_B; int * sd_R;//,sd_G,sd_B; int * order = ReadSizeImg("img.pgm"); int N=order[0]; int M=order[1]; int THREADS_PER_BLOCK = 32; int size =3NMsizeof(int); cout<<"tamano Imagen "<<N<<" "<<M<<" size "<<size<<endl; int k[9]={-1,0,1,-2,0,2,-1,0,1}; int d_k; hipMalloc((void )&d_R, size); hipMalloc((void )&sd_R, size); hipMalloc((void *)&d_k,9sizeof(int)); R = (int )malloc(size); ReadPPM(R,"img.pgm"); sR = (int )malloc(size); hipMemcpy(d_R, R, size, hipMemcpyHostToDevice); hipMemcpy(d_k, k, 9*sizeof(int), hipMemcpyHostToDevice); int blocks= (N + THREADS_PER_BLOCK -1)/THREADS_PER_BLOCK; dim3 dimGrid(blocks, blocks, 1); dim3 dimBlock(THREADS_PER_BLOCK,THREADS_PER_BLOCK, 1); cout<<"blocks : \n"<<blocks<<"\n threds: \n "<<THREADS_PER_BLOCK<<endl; convolution<<<dimGrid,dimBlock>>>(d_R, d_k ,sd_R,1, N, M); hipMemcpy(sR, sd_R, size, hipMemcpyDeviceToHost); cout<<"ss"<<endl; WritePGM(sR, N,M,"siete.ppm"); free(R); //free(G);free(B); hipFree(d_R); //cudaFree(d_B);cudaFree(d_G); hipFree(sd_R); //cudaFree(sd_B);cudaFree(sd_G); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z13matrixAditionPiS_S_i .globl _Z13matrixAditionPiS_S_i .p2align 8 .type _Z13matrixAditionPiS_S_i,@function _Z13matrixAditionPiS_S_i: s_clause 0x1 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_mul_i32 s3, s3, s3 v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_mov_b32 s2, exec_lo s_delay_alu instid0(VALU_DEP_1) v_cmpx_gt_i32_e64 s3, v1 s_cbranch_execz .LBB0_2 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[0:1], s[0:1], 0x10 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] s_waitcnt lgkmcnt(0) v_add_co_u32 v2, vcc_lo, s6, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v3, vcc_lo, s7, v1, vcc_lo v_add_co_u32 v4, vcc_lo, s0, v0 v_add_co_ci_u32_e32 v5, vcc_lo, s1, v1, vcc_lo v_add_co_u32 v0, vcc_lo, s4, v0 global_load_b32 v2, v[2:3], off global_load_b32 v3, v[4:5], off v_add_co_ci_u32_e32 v1, vcc_lo, s5, v1, vcc_lo s_waitcnt vmcnt(0) v_add_nc_u32_e32 v2, v3, v2 global_store_b32 v[0:1], v2, off .LBB0_2: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z13matrixAditionPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 6 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z13matrixAditionPiS_S_i, .Lfunc_end0-_Z13matrixAditionPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .protected _Z16matrixAditionRowPiS_S_i .globl _Z16matrixAditionRowPiS_S_i .p2align 8 .type _Z16matrixAditionRowPiS_S_i,@function _Z16matrixAditionRowPiS_S_i: s_load_b32 s8, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_cmp_lt_i32 s8, 1 s_cbranch_scc1 .LBB1_5 s_clause 0x2 s_load_b32 s9, s[0:1], 0x2c s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[2:3], s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_and_b32 s0, s9, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s0, v[0:1] v_mul_lo_u32 v0, v1, s8 v_cmp_gt_i32_e32 vcc_lo, s8, v1 s_set_inst_prefetch_distance 0x1 s_branch .LBB1_3 .p2align 6 .LBB1_2: s_or_b32 exec_lo, exec_lo, s1 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_add_nc_u32_e32 v0, 1, v0 s_add_i32 s8, s8, -1 s_cmp_eq_u32 s8, 0 s_cbranch_scc1 .LBB1_5 .LBB1_3: s_and_saveexec_b32 s1, vcc_lo s_cbranch_execz .LBB1_2 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v1, 31, v0 v_lshlrev_b64 v[1:2], 2, v[0:1] s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_co_u32 v3, s0, s6, v1 v_add_co_ci_u32_e64 v4, s0, s7, v2, s0 v_add_co_u32 v5, s0, s2, v1 s_delay_alu instid0(VALU_DEP_1) v_add_co_ci_u32_e64 v6, s0, s3, v2, s0 v_add_co_u32 v1, s0, s4, v1 global_load_b32 v3, v[3:4], off global_load_b32 v4, v[5:6], off v_add_co_ci_u32_e64 v2, s0, s5, v2, s0 s_waitcnt vmcnt(0) v_add_nc_u32_e32 v3, v4, v3 global_store_b32 v[1:2], v3, off s_branch .LBB1_2 .LBB1_5: s_set_inst_prefetch_distance 0x2 s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16matrixAditionRowPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 7 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end1: .size _Z16matrixAditionRowPiS_S_i, .Lfunc_end1-_Z16matrixAditionRowPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .protected _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii .globl _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii .p2align 8 .type _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii,@function _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x4c s_load_b32 s3, s[0:1], 0x38 v_dual_mov_b32 v4, 0 :: v_dual_mov_b32 v3, 0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_cmp_lt_i32 s3, 1 v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] v_mov_b32_e32 v0, 0 s_cbranch_scc1 .LBB2_5 s_clause 0x1 s_load_b256 s[4:11], s[0:1], 0x0 s_load_b32 s12, s[0:1], 0x3c s_lshr_b32 s2, s3, 31 v_dual_mov_b32 v0, 0 :: v_dual_mov_b32 v3, 0 s_add_i32 s2, s3, s2 v_mov_b32_e32 v6, 0 s_ashr_i32 s2, s2, 1 v_mov_b32_e32 v4, 0 v_subrev_nc_u32_e32 v5, s2, v1 s_set_inst_prefetch_distance 0x1 s_branch .LBB2_3 .p2align 6 .LBB2_2: s_or_b32 exec_lo, exec_lo, s2 s_add_i32 s3, s3, -1 v_add_nc_u32_e32 v5, 1, v5 s_add_u32 s10, s10, 4 s_addc_u32 s11, s11, 0 s_cmp_eq_u32 s3, 0 s_cbranch_scc1 .LBB2_5 .LBB2_3: s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_2) \| instid1(VALU_DEP_1) v_cmp_lt_i32_e32 vcc_lo, -1, v5 s_waitcnt lgkmcnt(0) v_cmp_gt_i32_e64 s2, s12, v5 s_and_b32 s13, vcc_lo, s2 s_delay_alu instid0(SALU_CYCLE_1) s_and_saveexec_b32 s2, s13 s_cbranch_execz .LBB2_2 v_lshlrev_b64 v[7:8], 2, v[5:6] s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v9, vcc_lo, s6, v7 v_add_co_ci_u32_e32 v10, vcc_lo, s7, v8, vcc_lo v_add_co_u32 v11, vcc_lo, s8, v7 v_add_co_ci_u32_e32 v12, vcc_lo, s9, v8, vcc_lo v_add_co_u32 v7, vcc_lo, s4, v7 v_add_co_ci_u32_e32 v8, vcc_lo, s5, v8, vcc_lo global_load_b32 v2, v[9:10], off global_load_b32 v10, v[11:12], off global_load_b32 v11, v[7:8], off s_load_b32 s13, s[10:11], 0x0 s_waitcnt vmcnt(2) lgkmcnt(0) v_mad_u64_u32 v[7:8], null, v2, s13, v[4:5] s_waitcnt vmcnt(1) v_mad_u64_u32 v[8:9], null, v10, s13, v[3:4] s_waitcnt vmcnt(0) v_mad_u64_u32 v[2:3], null, s13, v11, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_dual_mov_b32 v4, v7 :: v_dual_mov_b32 v3, v8 v_mov_b32_e32 v0, v2 s_branch .LBB2_2 .LBB2_5: s_set_inst_prefetch_distance 0x2 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x20 s_load_b64 s[0:1], s[0:1], 0x30 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v2, 31, v1 v_lshlrev_b64 v[1:2], 2, v[1:2] s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v5, vcc_lo, s4, v1 v_add_co_ci_u32_e32 v6, vcc_lo, s5, v2, vcc_lo v_add_co_u32 v7, vcc_lo, s6, v1 v_add_co_ci_u32_e32 v8, vcc_lo, s7, v2, vcc_lo v_add_co_u32 v1, vcc_lo, s0, v1 v_add_co_ci_u32_e32 v2, vcc_lo, s1, v2, vcc_lo global_store_b32 v[5:6], v0, off global_store_b32 v[7:8], v4, off global_store_b32 v[1:2], v3, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 320 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 13 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end2: .size _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii, .Lfunc_end2-_Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii .section .AMDGPU.csdata,"",@progbits .text .protected _Z11convolutionPiPKiS_iii .globl _Z11convolutionPiPKiS_iii .p2align 8 .type _Z11convolutionPiPKiS_iii,@function _Z11convolutionPiPKiS_iii: s_load_b32 s5, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_cmp_lt_i32 s5, 1 s_cbranch_scc1 .LBB3_18 v_and_b32_e32 v1, 0x3ff, v0 v_bfe_u32 v8, v0, 10, 10 s_clause 0x2 s_load_b64 s[16:17], s[0:1], 0x1c s_load_b128 s[8:11], s[0:1], 0x0 s_load_b64 s[6:7], s[0:1], 0x10 s_lshl_b32 s0, s15, 5 s_lshl_b32 s1, s14, 5 v_lshl_add_u32 v3, v8, 5, v1 v_add_nc_u32_e32 v6, s0, v8 v_add_nc_u32_e32 v0, s1, v1 v_lshlrev_b32_e32 v9, 2, v1 s_add_i32 s2, s0, -1 v_mul_hi_u32 v2, v3, 0xf0f0f0f1 v_add_nc_u32_e32 v4, 0x400, v3 v_cmp_gt_u32_e32 vcc_lo, 0x84, v3 s_add_i32 s3, s1, -1 s_mov_b32 s12, 0 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_4) v_mul_hi_u32 v5, v4, 0xf0f0f0f1 v_lshrrev_b32_e32 v7, 5, v2 s_waitcnt lgkmcnt(0) v_mad_u64_u32 v[1:2], null, v6, s16, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_4) v_mul_lo_u32 v10, v7, 34 v_lshrrev_b32_e32 v5, 5, v5 v_cmp_gt_i32_e64 s1, s16, v0 v_add_nc_u32_e32 v11, s2, v7 v_cmp_gt_i32_e64 s0, s17, v6 v_mul_lo_u32 v2, v7, 0x88 v_mul_lo_u32 v12, v5, 34 v_mul_lo_u32 v13, v5, 0x88 v_sub_nc_u32_e32 v3, v3, v10 v_add_nc_u32_e32 v10, s2, v5 s_and_b32 s13, s1, s0 v_cmp_le_i32_e64 s1, s17, v11 v_cmp_gt_i32_e64 s0, 0, v11 v_add_nc_u32_e32 v0, s3, v3 v_sub_nc_u32_e32 v12, v4, v12 v_cmp_gt_i32_e64 s2, s17, v10 v_lshl_add_u32 v2, v3, 2, v2 s_delay_alu instid0(VALU_DEP_4) \| instskip(NEXT) \| instid1(VALU_DEP_4) v_mad_u64_u32 v[5:6], null, v11, s16, v[0:1] v_add_nc_u32_e32 v4, s3, v12 v_cmp_le_i32_e64 s3, s16, v0 v_cmp_gt_i32_e64 s4, 0, v0 v_lshl_add_u32 v3, v12, 2, v13 s_delay_alu instid0(VALU_DEP_4) v_or_b32_e32 v0, v10, v4 v_mad_u64_u32 v[6:7], null, v10, s16, v[4:5] s_or_b32 s3, s1, s3 v_cmp_gt_i32_e64 s1, s16, v4 v_mul_lo_u32 v4, v5, s5 s_or_b32 s4, s3, s4 v_cmp_lt_i32_e64 s3, -1, v0 v_mad_u32_u24 v7, v8, 0x88, v9 v_mov_b32_e32 v8, 0 v_mul_lo_u32 v5, v6, s5 v_mul_lo_u32 v6, v1, s5 s_and_b32 s1, s2, s1 s_or_b32 s4, s0, s4 s_and_b32 s14, s1, s3 s_branch .LBB3_3 .LBB3_2: s_or_b32 exec_lo, exec_lo, s1 s_add_i32 s12, s12, 1 s_waitcnt_vscnt null, 0x0 s_cmp_lg_u32 s12, s5 s_barrier buffer_gl0_inv s_cbranch_scc0 .LBB3_18 .LBB3_3: s_and_saveexec_b32 s0, s4 s_delay_alu instid0(SALU_CYCLE_1) s_xor_b32 s0, exec_lo, s0 s_cbranch_execz .LBB3_5 ds_store_b32 v2, v8 .LBB3_5: s_and_not1_saveexec_b32 s1, s0 s_cbranch_execz .LBB3_7 v_add_nc_u32_e32 v0, s12, v4 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v1, 31, v0 v_lshlrev_b64 v[0:1], 2, v[0:1] s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_co_u32 v0, s0, s8, v0 v_add_co_ci_u32_e64 v1, s0, s9, v1, s0 global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) ds_store_b32 v2, v0 .LBB3_7: s_or_b32 exec_lo, exec_lo, s1 s_and_saveexec_b32 s1, vcc_lo s_cbranch_execz .LBB3_12 s_and_saveexec_b32 s0, s14 s_delay_alu instid0(SALU_CYCLE_1) s_xor_b32 s2, exec_lo, s0 s_cbranch_execz .LBB3_10 v_add_nc_u32_e32 v0, s12, v5 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v1, 31, v0 v_lshlrev_b64 v[0:1], 2, v[0:1] s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_co_u32 v0, s0, s8, v0 v_add_co_ci_u32_e64 v1, s0, s9, v1, s0 global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) ds_store_b32 v3, v0 .LBB3_10: s_and_not1_saveexec_b32 s0, s2 s_cbranch_execz .LBB3_12 ds_store_b32 v3, v8 .LBB3_12: s_or_b32 exec_lo, exec_lo, s1 v_dual_mov_b32 v0, 0 :: v_dual_mov_b32 v9, v7 s_mov_b32 s15, 0 s_mov_b64 s[0:1], s[10:11] s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv .p2align 6 .LBB3_13: s_mov_b64 s[2:3], s[0:1] s_mov_b32 s16, 0 .LBB3_14: s_delay_alu instid0(VALU_DEP_1) \| instid1(SALU_CYCLE_1) v_dual_mov_b32 v10, v0 :: v_dual_add_nc_u32 v1, s16, v9 s_load_b32 s17, s[2:3], 0x0 s_add_i32 s16, s16, 4 s_add_u32 s2, s2, 4 ds_load_b32 v11, v1 s_addc_u32 s3, s3, 0 s_cmp_lg_u32 s16, 12 s_waitcnt lgkmcnt(0) v_mad_u64_u32 v[0:1], null, s17, v11, v[10:11] s_cbranch_scc1 .LBB3_14 s_add_i32 s15, s15, 1 v_add_nc_u32_e32 v9, 0x88, v9 s_add_u32 s0, s0, 12 s_addc_u32 s1, s1, 0 s_cmp_lg_u32 s15, 3 s_cbranch_scc1 .LBB3_13 s_and_saveexec_b32 s1, s13 s_cbranch_execz .LBB3_2 v_add_nc_u32_e32 v9, s12, v6 v_med3_i32 v11, v0, 0, 0xff s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_ashrrev_i32_e32 v10, 31, v9 v_lshlrev_b64 v[9:10], 2, v[9:10] s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_co_u32 v0, s0, s6, v9 v_add_co_ci_u32_e64 v1, s0, s7, v10, s0 global_store_b32 v[0:1], v11, off s_branch .LBB3_2 .LBB3_18: s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z11convolutionPiPKiS_iii .amdhsa_group_segment_fixed_size 4624 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 36 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 1 .amdhsa_next_free_vgpr 14 .amdhsa_next_free_sgpr 18 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end3: .size _Z11convolutionPiPKiS_iii, .Lfunc_end3-_Z11convolutionPiPKiS_iii .section .AMDGPU.csdata,"",@progbits .text .protected _Z16matrixAditionColPiS_S_i .globl _Z16matrixAditionColPiS_S_i .p2align 8 .type _Z16matrixAditionColPiS_S_i,@function _Z16matrixAditionColPiS_S_i: s_load_b32 s8, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_cmp_lt_i32 s8, 1 s_cbranch_scc1 .LBB4_5 s_clause 0x2 s_load_b32 s9, s[0:1], 0x2c s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[2:3], s[0:1], 0x10 s_mov_b32 s1, s8 s_waitcnt lgkmcnt(0) s_and_b32 s0, s9, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s0, v[0:1] v_cmp_gt_i32_e32 vcc_lo, s8, v1 s_set_inst_prefetch_distance 0x1 s_branch .LBB4_3 .p2align 6 .LBB4_2: s_or_b32 exec_lo, exec_lo, s9 v_add_nc_u32_e32 v1, s8, v1 s_add_i32 s1, s1, -1 s_delay_alu instid0(SALU_CYCLE_1) s_cmp_eq_u32 s1, 0 s_cbranch_scc1 .LBB4_5 .LBB4_3: s_and_saveexec_b32 s9, vcc_lo s_cbranch_execz .LBB4_2 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[2:3], 2, v[1:2] v_add_co_u32 v4, s0, s6, v2 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_add_co_ci_u32_e64 v5, s0, s7, v3, s0 v_add_co_u32 v6, s0, s2, v2 v_add_co_ci_u32_e64 v7, s0, s3, v3, s0 v_add_co_u32 v2, s0, s4, v2 global_load_b32 v0, v[4:5], off global_load_b32 v4, v[6:7], off v_add_co_ci_u32_e64 v3, s0, s5, v3, s0 s_waitcnt vmcnt(0) v_add_nc_u32_e32 v0, v4, v0 global_store_b32 v[2:3], v0, off s_branch .LBB4_2 .LBB4_5: s_set_inst_prefetch_distance 0x2 s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16matrixAditionColPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 8 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end4: .size _Z16matrixAditionColPiS_S_i, .Lfunc_end4-_Z16matrixAditionColPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z13matrixAditionPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z13matrixAditionPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 6 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16matrixAditionRowPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z16matrixAditionRowPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 7 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 24 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 32 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 40 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 48 .size: 8 .value_kind: global_buffer - .offset: 56 .size: 4 .value_kind: by_value - .offset: 60 .size: 4 .value_kind: by_value - .offset: 64 .size: 4 .value_kind: hidden_block_count_x - .offset: 68 .size: 4 .value_kind: hidden_block_count_y - .offset: 72 .size: 4 .value_kind: hidden_block_count_z - .offset: 76 .size: 2 .value_kind: hidden_group_size_x - .offset: 78 .size: 2 .value_kind: hidden_group_size_y - .offset: 80 .size: 2 .value_kind: hidden_group_size_z - .offset: 82 .size: 2 .value_kind: hidden_remainder_x - .offset: 84 .size: 2 .value_kind: hidden_remainder_y - .offset: 86 .size: 2 .value_kind: hidden_remainder_z - .offset: 104 .size: 8 .value_kind: hidden_global_offset_x - .offset: 112 .size: 8 .value_kind: hidden_global_offset_y - .offset: 120 .size: 8 .value_kind: hidden_global_offset_z - .offset: 128 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 320 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z27convolution_1D_basic_kernelPiS_S_S_S_S_S_ii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 13 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .actual_access: read_only .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 28 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: by_value .group_segment_fixed_size: 4624 .kernarg_segment_align: 8 .kernarg_segment_size: 36 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z11convolutionPiPKiS_iii .private_segment_fixed_size: 0 .sgpr_count: 20 .sgpr_spill_count: 0 .symbol: _Z11convolutionPiPKiS_iii.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 14 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16matrixAditionColPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z16matrixAditionColPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 8 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> #include <math.h> #include <time.h> #include <iostream> #include <cuda.h> #define NUMBER_RUNS 1 #define LCG_A 1103515245 #define LCG_C 12345 #define LCG_M 2147483646 #define MAX_TRIES 1000 #define N_LIMIT 20 #define MAX_TEMP_STEPS 100 #define TEMP_START 0.5 #define COOLING 0.99 #define THREADS 1024 #define BOLTZMANN_COEFF 0.01 using namespace std; struct city { double x; double y; }; struct permutation { int cost; int* order; int nSucc; }; struct GlobalConstants { int CITY_N; city* cities; unsigned int* randSeeds; }; //global variables struct city cities; int CITY_N; //global variables on GPU __constant__ GlobalConstants cuTspParam; / rounding function, but at .5 rounds to the lower int. Due to the TSPLIB * standard library. / __device__ __host__ __inline__ int nint(float x) { return (int) (x + 0.5); } / Randomisation is done by a simple linear congruential generator. * We use A and C values as done by glibc. / __device__ __inline__ unsigned int rand(unsigned int x) { x = ((LCG_A (x)) + LCG_C) & 0x7fffffff; return x; } __device__ __inline__ float randomFloat(unsigned int x) { return (float) (rand(x) / (float) LCG_M); } __device__ __inline__ double randomDouble(unsigned int x) { return (double) (rand(x) / (double) LCG_M); } __device__ __inline__ unsigned int randomInt(unsigned int x, unsigned int max) { return rand(x) % max; } __device__ __inline__ bool randomBool(unsigned int x) { if ((randomInt(x, 256) >> 7) & 0x00000001) return true; else return false; } __device__ __host__ __inline__ int euclideanDistance(struct city a, struct city b) { float dx = b->x - a->x; float dy = b->y - a->y; return nint((sqrt(dx * dx + dy * dy))); } /* Calcuates the delta of the costs given by a new order using reverse / __device__ __inline__ int reverseCost(struct city cities, int order, int n) { int cost; cost = -euclideanDistance(&cities[order[n[0]]], &cities[order[n[2]]]); cost -= euclideanDistance(&cities[order[n[1]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[0]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[1]]], &cities[order[n[2]]]); return cost; } /* The order of the city is changed by swapping the * order between n[0] and n[1]. * The swapping is done beginning from the outer end * going into the middle / __device__ __inline__ void reverse(int order, int n) { int CITY_N = cuTspParam.CITY_N; int swaps = (1 + ((n[1] - n[0] + CITY_N) % CITY_N)) / 2; // this many elements have to be swapped to have a complete reversal for (int j = 0; j < swaps; ++j) { int k = (n[0] + j) % CITY_N; int l = (n[1] - j + CITY_N) % CITY_N; int tmp = order[k]; order[k] = order[l]; order[l] = tmp; } } / Calculates the delta of the costs of the city order if * the transportation of this segments (given by n) are actually * done. / __device__ __inline__ int transportCost(struct city cities, int order, int n) { int cost; cost = -euclideanDistance(&cities[order[n[1]]], &cities[order[n[5]]]); cost -= euclideanDistance(&cities[order[n[0]]], &cities[order[n[4]]]); cost -= euclideanDistance(&cities[order[n[2]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[0]]], &cities[order[n[2]]]); cost += euclideanDistance(&cities[order[n[1]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[4]]], &cities[order[n[5]]]); return cost; } /* Transport the path segment (consisting of the start n[0] and end at n[1] * to the path given by n[2] and n[3], which are adjacent and the segment is * to be placed in between. n[4] is the city preceding n[0] and n[5] succeeds * n[1]. * Transportation should only be done if the metroplis algorithm agrees. * / __device__ void transport(int order, int n) { int CITY_N = cuTspParam.CITY_N; int newOrder = &order[CITY_N]; int m1 = (n[1] - n[0] + CITY_N) % CITY_N; int m2 = (n[4] - n[3] + CITY_N) % CITY_N; int m3 = (n[2] - n[5] + CITY_N) % CITY_N; int i = 0; for (int j = 0; j <= m1; ++j) { newOrder[i++] = order[(j + n[0]) % CITY_N]; } for (int j = 0; j <= m2; ++j) { newOrder[i++] = order[(j + n[3]) % CITY_N]; } for (int j = 0; j <= m3; ++j) { newOrder[i++] = order[(j + n[5]) % CITY_N]; } for (int j = 0; j < CITY_N; ++j) { order[j] = newOrder[j]; } } /* Metroplis algorithm: Always take the downhill path and * sometime take the uphill path to avoid local minima / __device__ __inline__ bool metropolis(const int cost, const double t, unsigned int x) { return cost < 0 \|\| randomDouble(x) < exp((double) (BOLTZMANN_COEFF * -cost / t)); } __host__ __inline__ void copy_permutation(struct permutation* dest, const struct permutation* src) { dest->cost = src->cost; dest->nSucc = src->nSucc; for (int i = 0; i < CITY_N; ++i) { dest->order[i] = src->order[i]; } } /* Main kernel function / __global__ void solve( struct permutation permutations, const float t) { struct city cities = cuTspParam.cities; int CITY_N = cuTspParam.CITY_N; int notSeg; // number of cities not on the segment int maxChangeTries = MAX_TRIES CITY_N; int succLimit = N_LIMIT * CITY_N; int dCost; bool ans; int n[6]; int id = blockDim.x * blockIdx.x + threadIdx.x; struct permutation perm = &(permutations[id]); unsigned int x = cuTspParam.randSeeds; perm->nSucc = 0; for (int j = 0; j < maxChangeTries; ++j) { do { n[0] = randomInt(x, CITY_N); n[1] = randomInt(x, CITY_N - 1); if (n[1] >= n[0]) ++n[1]; notSeg = (n[0] - n[1] + CITY_N - 1) % CITY_N; } while (notSeg < 2); /* It is randomly choosen whether a transportation or a reversion is done / if (randomBool(x)) { n[2] = (n[1] + randomInt(x, abs(notSeg - 1)) + 1) % CITY_N; n[3] = (n[2] + 1) % CITY_N; n[4] = (n[0] + CITY_N- 1) % CITY_N; n[5] = (n[1] + 1) % CITY_N; dCost = transportCost(cities, perm->order, n); ans = metropolis(dCost, t, x); if (ans) { ++perm->nSucc; perm->cost += dCost; transport(perm->order, n); } } else { n[2] = (n[0] + CITY_N - 1) % CITY_N; n[3] = (n[1] + 1) % CITY_N; dCost = reverseCost(cities, perm->order, n); ans = metropolis(dCost, t, x); if (ans) { ++perm->nSucc; perm->cost += dCost; reverse(perm->order, n); } } / Finish early if there are enough successful changes / if (perm->nSucc > succLimit) break; } } class Anneal { private: / Calculates the length of the initial path, which is already given. * This is in O(n) / void initialPath(struct permutation perm, struct city cities) { int i, i1, i2; perm->cost= 0; for (i = 0; i < CITY_N - 1; i++) { i1 = perm->order[i]; i2 = perm->order[i+1]; perm->cost += euclideanDistance(&cities[i1], &cities[i2]); } i1 = perm->order[CITY_N - 1]; i2 = perm->order[0]; perm->cost += euclideanDistance(&cities[i1], &cities[i2]); cout << "Initial path length: " << perm->cost << endl; } void printInformation(struct permutation currPerm, bool showOrder = true) { cout << "Path Length = " << currPerm->cost << endl; cout << "Successful Moves: " << currPerm->nSucc << endl; if (showOrder) { cout << "Order: "; for (int j = 0; j < CITY_N; j++) { cout << currPerm->order[j] << " "; } } cout << endl; } public: double runtime; int resultCost; Anneal() {} void order(struct city cities, int order) { double t = TEMP_START; long seed = (long) (time(NULL)); cudaError_t cudaStat; struct permutation* dPermutation; struct permutation* hPermutation = (struct permutation ) malloc(THREADS sizeof(struct permutation)); for (int i = 0; i < CITY_N; i++) { hPermutation[i].order = new int [CITY_N]; } struct city dCities; unsigned int LCGX = (unsigned int ) malloc(THREADS sizeof(unsigned int)); unsigned int dLCGX; struct permutation currPerm = (struct permutation ) malloc(sizeof(struct permutation)); currPerm->order = new int [CITY_N]; struct permutation allMinPerm= (struct permutation ) malloc(sizeof(struct permutation)); allMinPerm->order = new int [CITY_N]; int oldCost = 2147483647; int repeatCost = 0; clock_t startAll, endAll; // timer to measure the overall run time double runtimeAll; clock_t startCuda, endCuda; //timer to measure the run time of cuda double cudaRuntime = 0.0f; startAll = clock(); //initialize RNG srand(seed); //initialize seeds for RNG on GPU for (int i = 0; i < THREADS; ++i) { LCGX[i] = rand(); } // Kernel invocation int threadsPerBlock = 256; int blocksPerGrid = (THREADS + threadsPerBlock - 1) / threadsPerBlock; cout << "Threads: " << THREADS << ", Blocks: " << blocksPerGrid << endl; for (int i = 0; i < CITY_N; i++) { currPerm->order[i] = order[i]; } initialPath(currPerm, cities); copy_permutation(allMinPerm, currPerm); //allocate and copy #threads permutations on the device cudaStat = cudaMalloc(&dPermutation, THREADS sizeof(struct permutation)); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } for (int i = 0; i < THREADS; i++) { int* order; cudaStat = cudaMalloc(&order, 2 * CITY_N * sizeof(int)); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = cudaMemcpy(order, currPerm->order, CITY_N * sizeof(int), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = cudaMemcpy(&dPermutation[i].order, &order, sizeof(int), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } } cout<<"After the first call\n"; cudaStat = cudaMalloc(&dCities, CITY_N sizeof(struct city)); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = cudaMemcpy(dCities, cities, CITY_N * sizeof(struct city), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cudaStat = cudaMalloc(&dLCGX, THREADS * sizeof(unsigned int)); if (cudaStat != cudaSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = cudaMemcpy(dLCGX, LCGX, THREADS * sizeof(unsigned int), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cout<<"Just after the allocation\n"; GlobalConstants params; params.cities = dCities; params.randSeeds = dLCGX; params.CITY_N = CITY_N; cudaMemcpyToSymbol(cuTspParam, &params, sizeof(GlobalConstants)); cout<<"Just before the for loop\n"; /* Try up to MAX_TEMP_STEPS temperature steps. It could stop before if no kernel * showed any succesful change or if the solution did not change 5 times / for (int i = 0; i < MAX_TEMP_STEPS; ++i) { cudaThreadSynchronize(); startCuda = clock(); cout<<"This is the "<<i<<" th loop\n"; //Copies the initial permutation to each result permutation for (int i = 0; i < THREADS; i++) { //cudaStat = cudaMemcpy(dPermutation[i].order, currPerm->order, CITY_N sizeof(int), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cudaStat = cudaMemcpy(&dPermutation[i].cost, &currPerm->cost, sizeof(int), cudaMemcpyHostToDevice); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } } cout<<"Just before the kernel call\n"; //invoke cuda solve<<<blocksPerGrid, threadsPerBlock>>>(dPermutation, t); cudaStat = cudaThreadSynchronize(); if (cudaStat != cudaSuccess) { cout << "something went wrong during device execution. Exit." << endl; return; } endCuda = clock(); cudaRuntime += (endCuda - startCuda) * 1000 / CLOCKS_PER_SEC; for (int i = 0; i < THREADS; i++) { cudaStat = cudaMemcpy(hPermutation[i].order, dPermutation[i].order, CITY_N * sizeof(int), cudaMemcpyDeviceToHost); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } cudaStat = cudaMemcpy(&hPermutation[i].cost, &dPermutation[i].cost, sizeof(int), cudaMemcpyDeviceToHost); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } cudaStat = cudaMemcpy(&hPermutation[i].nSucc, &dPermutation[i].nSucc, sizeof(int), cudaMemcpyDeviceToHost); if (cudaStat != cudaSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } } /* Loops through all resulting permutations and store the one with minimal length but * at least one swap. * If all threads didn't swap, exit the program. * Takes O(n) time. / int minCost = 2147483647; bool swap = false; for (int j = 0; j < THREADS; ++j) { if (minCost >= hPermutation[j].cost && hPermutation[j].nSucc != 0) { currPerm = &(hPermutation[j]); minCost = currPerm->cost; swap = true; if (minCost < allMinPerm->cost) copy_permutation(allMinPerm, currPerm); //memcpy(allMinPerm, currPerm, sizeof(struct permutation)); } } if (!swap) { cout << "No swaps occured. Exit" << endl; break; } if (oldCost == minCost) { if (++repeatCost == 5) { cout << "Cost did not change 5 times in a row. Exit" << endl; break; } } else repeatCost = 0; cout << endl << "T = " << t << endl; //cout << "repeat: " << repeatCost << ", old: " << oldCost << ", new: " << minCost << endl; printInformation(currPerm, false); //for (int j = 0; j < THREADS; ++j) // printInformation(&(hPermutation[j]), false); oldCost = minCost; t = COOLING; } endAll = clock(); runtimeAll = (endAll - startAll) / (1.0f * CLOCKS_PER_SEC) * 1000; cout << endl << "Final Result:" << endl; cout << "=============" << endl; printInformation(allMinPerm); runtime = runtimeAll; resultCost = allMinPerm->cost; printf("\nThe program needed an overall time of %.2lf ms.\n", runtimeAll); printf("%.2lf ms were spent at the CUDA part.\n", cudaRuntime); printf("So %.2lf ms were spent at the host.", runtimeAll - cudaRuntime); cudaFree(dPermutation); cudaFree(dCities); cudaFree(dLCGX); free(allMinPerm); free(LCGX); free(hPermutation); } }; void readFile(char* FILENAME) { FILE fp; char line[80]; int i = 0; fp = fopen(FILENAME, "rt"); for (int i = 0; i < 6; i++) { fgets(line, 80, fp); if (i == 3) { char pch = strtok(line, ":"); pch = strtok(NULL, "\t\n"); CITY_N = atoi(pch); } } cout<<"Number of cities is "<<CITY_N<<endl; cities = (struct city ) malloc (CITY_N sizeof(struct city)); while (fgets(line, 80, fp) != NULL && i < CITY_N) { sscanf(line, "%d %lf %lf", &(cities[i].x), &(cities[i].y)); ++i; } } void printCities(struct city cities) { cout << "Cities: " << endl; for (int i = 0; i < CITY_N; ++i) cout << i << ". x: " << cities[i].x << " y: " << cities[i].y << endl; } int main(int argc, char* argv[]) { if (argc < 2) { printf("Usage: ./tsp inputFiles\n"); exit(-1); } readFile(argv[1]); int order = (int ) malloc(CITY_N * sizeof(int)); float avgResult = 0.0f; double avgRuntime = 0.0f; for (int runs = 0; runs < NUMBER_RUNS; ++runs) { for (int i = 0; i < CITY_N; ++i) order[i] = i; //printCities(cities); Anneal a = new Anneal(); a->order(cities, order); avgResult += a->resultCost / (NUMBER_RUNS 1.0f); avgRuntime += a->runtime / (NUMBER_RUNS * 1.0f); } cout << endl << endl; cout << "Average Costs: " << avgResult << endl; cout << "Average Runtime: " << avgRuntime << endl; return 0; }	#include <stdio.h> #include <math.h> #include <time.h> #include <iostream> #include <hip/hip_runtime.h> #define NUMBER_RUNS 1 #define LCG_A 1103515245 #define LCG_C 12345 #define LCG_M 2147483646 #define MAX_TRIES 1000 #define N_LIMIT 20 #define MAX_TEMP_STEPS 100 #define TEMP_START 0.5 #define COOLING 0.99 #define THREADS 1024 #define BOLTZMANN_COEFF 0.01 using namespace std; struct city { double x; double y; }; struct permutation { int cost; int* order; int nSucc; }; struct GlobalConstants { int CITY_N; city* cities; unsigned int* randSeeds; }; //global variables struct city cities; int CITY_N; //global variables on GPU __constant__ GlobalConstants cuTspParam; / rounding function, but at .5 rounds to the lower int. Due to the TSPLIB * standard library. / __device__ __host__ __inline__ int nint(float x) { return (int) (x + 0.5); } / Randomisation is done by a simple linear congruential generator. * We use A and C values as done by glibc. / __device__ __inline__ unsigned int rand(unsigned int x) { x = ((LCG_A (x)) + LCG_C) & 0x7fffffff; return x; } __device__ __inline__ float randomFloat(unsigned int x) { return (float) (rand(x) / (float) LCG_M); } __device__ __inline__ double randomDouble(unsigned int x) { return (double) (rand(x) / (double) LCG_M); } __device__ __inline__ unsigned int randomInt(unsigned int x, unsigned int max) { return rand(x) % max; } __device__ __inline__ bool randomBool(unsigned int x) { if ((randomInt(x, 256) >> 7) & 0x00000001) return true; else return false; } __device__ __host__ __inline__ int euclideanDistance(struct city a, struct city b) { float dx = b->x - a->x; float dy = b->y - a->y; return nint((sqrt(dx * dx + dy * dy))); } /* Calcuates the delta of the costs given by a new order using reverse / __device__ __inline__ int reverseCost(struct city cities, int order, int n) { int cost; cost = -euclideanDistance(&cities[order[n[0]]], &cities[order[n[2]]]); cost -= euclideanDistance(&cities[order[n[1]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[0]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[1]]], &cities[order[n[2]]]); return cost; } /* The order of the city is changed by swapping the * order between n[0] and n[1]. * The swapping is done beginning from the outer end * going into the middle / __device__ __inline__ void reverse(int order, int n) { int CITY_N = cuTspParam.CITY_N; int swaps = (1 + ((n[1] - n[0] + CITY_N) % CITY_N)) / 2; // this many elements have to be swapped to have a complete reversal for (int j = 0; j < swaps; ++j) { int k = (n[0] + j) % CITY_N; int l = (n[1] - j + CITY_N) % CITY_N; int tmp = order[k]; order[k] = order[l]; order[l] = tmp; } } / Calculates the delta of the costs of the city order if * the transportation of this segments (given by n) are actually * done. / __device__ __inline__ int transportCost(struct city cities, int order, int n) { int cost; cost = -euclideanDistance(&cities[order[n[1]]], &cities[order[n[5]]]); cost -= euclideanDistance(&cities[order[n[0]]], &cities[order[n[4]]]); cost -= euclideanDistance(&cities[order[n[2]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[0]]], &cities[order[n[2]]]); cost += euclideanDistance(&cities[order[n[1]]], &cities[order[n[3]]]); cost += euclideanDistance(&cities[order[n[4]]], &cities[order[n[5]]]); return cost; } /* Transport the path segment (consisting of the start n[0] and end at n[1] * to the path given by n[2] and n[3], which are adjacent and the segment is * to be placed in between. n[4] is the city preceding n[0] and n[5] succeeds * n[1]. * Transportation should only be done if the metroplis algorithm agrees. * / __device__ void transport(int order, int n) { int CITY_N = cuTspParam.CITY_N; int newOrder = &order[CITY_N]; int m1 = (n[1] - n[0] + CITY_N) % CITY_N; int m2 = (n[4] - n[3] + CITY_N) % CITY_N; int m3 = (n[2] - n[5] + CITY_N) % CITY_N; int i = 0; for (int j = 0; j <= m1; ++j) { newOrder[i++] = order[(j + n[0]) % CITY_N]; } for (int j = 0; j <= m2; ++j) { newOrder[i++] = order[(j + n[3]) % CITY_N]; } for (int j = 0; j <= m3; ++j) { newOrder[i++] = order[(j + n[5]) % CITY_N]; } for (int j = 0; j < CITY_N; ++j) { order[j] = newOrder[j]; } } /* Metroplis algorithm: Always take the downhill path and * sometime take the uphill path to avoid local minima / __device__ __inline__ bool metropolis(const int cost, const double t, unsigned int x) { return cost < 0 \|\| randomDouble(x) < exp((double) (BOLTZMANN_COEFF * -cost / t)); } __host__ __inline__ void copy_permutation(struct permutation* dest, const struct permutation* src) { dest->cost = src->cost; dest->nSucc = src->nSucc; for (int i = 0; i < CITY_N; ++i) { dest->order[i] = src->order[i]; } } /* Main kernel function / __global__ void solve( struct permutation permutations, const float t) { struct city cities = cuTspParam.cities; int CITY_N = cuTspParam.CITY_N; int notSeg; // number of cities not on the segment int maxChangeTries = MAX_TRIES CITY_N; int succLimit = N_LIMIT * CITY_N; int dCost; bool ans; int n[6]; int id = blockDim.x * blockIdx.x + threadIdx.x; struct permutation perm = &(permutations[id]); unsigned int x = cuTspParam.randSeeds; perm->nSucc = 0; for (int j = 0; j < maxChangeTries; ++j) { do { n[0] = randomInt(x, CITY_N); n[1] = randomInt(x, CITY_N - 1); if (n[1] >= n[0]) ++n[1]; notSeg = (n[0] - n[1] + CITY_N - 1) % CITY_N; } while (notSeg < 2); /* It is randomly choosen whether a transportation or a reversion is done / if (randomBool(x)) { n[2] = (n[1] + randomInt(x, abs(notSeg - 1)) + 1) % CITY_N; n[3] = (n[2] + 1) % CITY_N; n[4] = (n[0] + CITY_N- 1) % CITY_N; n[5] = (n[1] + 1) % CITY_N; dCost = transportCost(cities, perm->order, n); ans = metropolis(dCost, t, x); if (ans) { ++perm->nSucc; perm->cost += dCost; transport(perm->order, n); } } else { n[2] = (n[0] + CITY_N - 1) % CITY_N; n[3] = (n[1] + 1) % CITY_N; dCost = reverseCost(cities, perm->order, n); ans = metropolis(dCost, t, x); if (ans) { ++perm->nSucc; perm->cost += dCost; reverse(perm->order, n); } } / Finish early if there are enough successful changes / if (perm->nSucc > succLimit) break; } } class Anneal { private: / Calculates the length of the initial path, which is already given. * This is in O(n) / void initialPath(struct permutation perm, struct city cities) { int i, i1, i2; perm->cost= 0; for (i = 0; i < CITY_N - 1; i++) { i1 = perm->order[i]; i2 = perm->order[i+1]; perm->cost += euclideanDistance(&cities[i1], &cities[i2]); } i1 = perm->order[CITY_N - 1]; i2 = perm->order[0]; perm->cost += euclideanDistance(&cities[i1], &cities[i2]); cout << "Initial path length: " << perm->cost << endl; } void printInformation(struct permutation currPerm, bool showOrder = true) { cout << "Path Length = " << currPerm->cost << endl; cout << "Successful Moves: " << currPerm->nSucc << endl; if (showOrder) { cout << "Order: "; for (int j = 0; j < CITY_N; j++) { cout << currPerm->order[j] << " "; } } cout << endl; } public: double runtime; int resultCost; Anneal() {} void order(struct city cities, int order) { double t = TEMP_START; long seed = (long) (time(NULL)); hipError_t cudaStat; struct permutation* dPermutation; struct permutation* hPermutation = (struct permutation ) malloc(THREADS sizeof(struct permutation)); for (int i = 0; i < CITY_N; i++) { hPermutation[i].order = new int [CITY_N]; } struct city dCities; unsigned int LCGX = (unsigned int ) malloc(THREADS sizeof(unsigned int)); unsigned int dLCGX; struct permutation currPerm = (struct permutation ) malloc(sizeof(struct permutation)); currPerm->order = new int [CITY_N]; struct permutation allMinPerm= (struct permutation ) malloc(sizeof(struct permutation)); allMinPerm->order = new int [CITY_N]; int oldCost = 2147483647; int repeatCost = 0; clock_t startAll, endAll; // timer to measure the overall run time double runtimeAll; clock_t startCuda, endCuda; //timer to measure the run time of cuda double cudaRuntime = 0.0f; startAll = clock(); //initialize RNG srand(seed); //initialize seeds for RNG on GPU for (int i = 0; i < THREADS; ++i) { LCGX[i] = rand(); } // Kernel invocation int threadsPerBlock = 256; int blocksPerGrid = (THREADS + threadsPerBlock - 1) / threadsPerBlock; cout << "Threads: " << THREADS << ", Blocks: " << blocksPerGrid << endl; for (int i = 0; i < CITY_N; i++) { currPerm->order[i] = order[i]; } initialPath(currPerm, cities); copy_permutation(allMinPerm, currPerm); //allocate and copy #threads permutations on the device cudaStat = hipMalloc(&dPermutation, THREADS sizeof(struct permutation)); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } for (int i = 0; i < THREADS; i++) { int* order; cudaStat = hipMalloc(&order, 2 * CITY_N * sizeof(int)); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = hipMemcpy(order, currPerm->order, CITY_N * sizeof(int), hipMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = hipMemcpy(&dPermutation[i].order, &order, sizeof(int), hipMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } } cout<<"After the first call\n"; cudaStat = hipMalloc(&dCities, CITY_N sizeof(struct city)); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = hipMemcpy(dCities, cities, CITY_N * sizeof(struct city), hipMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cudaStat = hipMalloc(&dLCGX, THREADS * sizeof(unsigned int)); if (cudaStat != hipSuccess) { cout << "couldn't allocate memory on the device. Exit." << endl; return; } cudaStat = hipMemcpy(dLCGX, LCGX, THREADS * sizeof(unsigned int), hipMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cout<<"Just after the allocation\n"; GlobalConstants params; params.cities = dCities; params.randSeeds = dLCGX; params.CITY_N = CITY_N; hipMemcpyToSymbol(HIP_SYMBOL(cuTspParam), &params, sizeof(GlobalConstants)); cout<<"Just before the for loop\n"; /* Try up to MAX_TEMP_STEPS temperature steps. It could stop before if no kernel * showed any succesful change or if the solution did not change 5 times / for (int i = 0; i < MAX_TEMP_STEPS; ++i) { hipDeviceSynchronize(); startCuda = clock(); cout<<"This is the "<<i<<" th loop\n"; //Copies the initial permutation to each result permutation for (int i = 0; i < THREADS; i++) { //cudaStat = cudaMemcpy(dPermutation[i].order, currPerm->order, CITY_N sizeof(int), cudaMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } cudaStat = hipMemcpy(&dPermutation[i].cost, &currPerm->cost, sizeof(int), hipMemcpyHostToDevice); if (cudaStat != hipSuccess) { cout << "couldn't copy memory to global memory. Exit." << endl; return; } } cout<<"Just before the kernel call\n"; //invoke cuda solve<<<blocksPerGrid, threadsPerBlock>>>(dPermutation, t); cudaStat = hipDeviceSynchronize(); if (cudaStat != hipSuccess) { cout << "something went wrong during device execution. Exit." << endl; return; } endCuda = clock(); cudaRuntime += (endCuda - startCuda) * 1000 / CLOCKS_PER_SEC; for (int i = 0; i < THREADS; i++) { cudaStat = hipMemcpy(hPermutation[i].order, dPermutation[i].order, CITY_N * sizeof(int), hipMemcpyDeviceToHost); if (cudaStat != hipSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } cudaStat = hipMemcpy(&hPermutation[i].cost, &dPermutation[i].cost, sizeof(int), hipMemcpyDeviceToHost); if (cudaStat != hipSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } cudaStat = hipMemcpy(&hPermutation[i].nSucc, &dPermutation[i].nSucc, sizeof(int), hipMemcpyDeviceToHost); if (cudaStat != hipSuccess) { cout << "couldn't copy memory from global memory. Exit." << endl; return; } } /* Loops through all resulting permutations and store the one with minimal length but * at least one swap. * If all threads didn't swap, exit the program. * Takes O(n) time. / int minCost = 2147483647; bool swap = false; for (int j = 0; j < THREADS; ++j) { if (minCost >= hPermutation[j].cost && hPermutation[j].nSucc != 0) { currPerm = &(hPermutation[j]); minCost = currPerm->cost; swap = true; if (minCost < allMinPerm->cost) copy_permutation(allMinPerm, currPerm); //memcpy(allMinPerm, currPerm, sizeof(struct permutation)); } } if (!swap) { cout << "No swaps occured. Exit" << endl; break; } if (oldCost == minCost) { if (++repeatCost == 5) { cout << "Cost did not change 5 times in a row. Exit" << endl; break; } } else repeatCost = 0; cout << endl << "T = " << t << endl; //cout << "repeat: " << repeatCost << ", old: " << oldCost << ", new: " << minCost << endl; printInformation(currPerm, false); //for (int j = 0; j < THREADS; ++j) // printInformation(&(hPermutation[j]), false); oldCost = minCost; t = COOLING; } endAll = clock(); runtimeAll = (endAll - startAll) / (1.0f * CLOCKS_PER_SEC) * 1000; cout << endl << "Final Result:" << endl; cout << "=============" << endl; printInformation(allMinPerm); runtime = runtimeAll; resultCost = allMinPerm->cost; printf("\nThe program needed an overall time of %.2lf ms.\n", runtimeAll); printf("%.2lf ms were spent at the CUDA part.\n", cudaRuntime); printf("So %.2lf ms were spent at the host.", runtimeAll - cudaRuntime); hipFree(dPermutation); hipFree(dCities); hipFree(dLCGX); free(allMinPerm); free(LCGX); free(hPermutation); } }; void readFile(char* FILENAME) { FILE fp; char line[80]; int i = 0; fp = fopen(FILENAME, "rt"); for (int i = 0; i < 6; i++) { fgets(line, 80, fp); if (i == 3) { char pch = strtok(line, ":"); pch = strtok(NULL, "\t\n"); CITY_N = atoi(pch); } } cout<<"Number of cities is "<<CITY_N<<endl; cities = (struct city ) malloc (CITY_N sizeof(struct city)); while (fgets(line, 80, fp) != NULL && i < CITY_N) { sscanf(line, "%d %lf %lf", &(cities[i].x), &(cities[i].y)); ++i; } } void printCities(struct city cities) { cout << "Cities: " << endl; for (int i = 0; i < CITY_N; ++i) cout << i << ". x: " << cities[i].x << " y: " << cities[i].y << endl; } int main(int argc, char* argv[]) { if (argc < 2) { printf("Usage: ./tsp inputFiles\n"); exit(-1); } readFile(argv[1]); int order = (int ) malloc(CITY_N * sizeof(int)); float avgResult = 0.0f; double avgRuntime = 0.0f; for (int runs = 0; runs < NUMBER_RUNS; ++runs) { for (int i = 0; i < CITY_N; ++i) order[i] = i; //printCities(cities); Anneal a = new Anneal(); a->order(cities, order); avgResult += a->resultCost / (NUMBER_RUNS 1.0f); avgRuntime += a->runtime / (NUMBER_RUNS * 1.0f); } cout << endl << endl; cout << "Average Costs: " << avgResult << endl; cout << "Average Runtime: " << avgRuntime << endl; return 0; }
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include <stdio.h> #include <assert.h> #include <cuda.h> #include <cuda_runtime.h> cudaDeviceProp deviceProps; bool cuInit() { bool res = true; int device = 0; cudaError_t err = cudaGetDevice( &device ); if( err != cudaSuccess ) { printf("%s\n", cudaGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { cudaGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device cudaSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; cudaMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); cudaMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer cudaMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), cudaMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); cudaMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), cudaMemcpyDeviceToHost ); cudaFree( sourceBuff ); cudaFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}	code for sm_80 Function : _Z18cuBuildImageKernelPfS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R6, SR_CTAID.X ; / 0x0000000000067919 / / 0x000e220000002500 / /0020/ MOV R5, c[0x0][0xc] ; / 0x0000030000057a02 / / 0x000fe20000000f00 / /0030/ HFMA2.MMA R15, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff0f7435 / / 0x000fe200000001ff / /0040/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0050/ S2R R13, SR_CTAID.Y ; / 0x00000000000d7919 / / 0x000e220000002600 / /0060/ SHF.L.U32 R5, R5, 0x1, RZ ; / 0x0000000105057819 / / 0x000fca00000006ff / /0070/ IMAD R0, R5, R13, R6 ; / 0x0000000d05007224 / / 0x001fca00078e0206 / /0080/ SHF.L.U32 R0, R0, 0x1, RZ ; / 0x0000000100007819 / / 0x000fca00000006ff / /0090/ IMAD.WIDE.U32 R2, R0, R15, c[0x0][0x160] ; / 0x0000580000027625 / / 0x000fca00078e000f / /00a0/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea2000c1e1900 / /00b0/ IMAD.WIDE.U32 R4, R5, 0x4, R2 ; / 0x0000000405047825 / / 0x000fc600078e0002 / /00c0/ LDG.E R7, [R2.64+0x4] ; / 0x0000040402077981 / / 0x000ea8000c1e1900 / /00d0/ LDG.E R9, [R4.64] ; / 0x0000000404097981 / / 0x000ee8000c1e1900 / /00e0/ LDG.E R11, [R4.64+0x4] ; / 0x00000404040b7981 / / 0x000f22000c1e1900 / /00f0/ IMAD R6, R13, c[0x0][0xc], R6 ; / 0x000003000d067a24 / / 0x000fe400078e0206 / /0100/ FADD R0, R0, R7 ; / 0x0000000700007221 / / 0x004fc40000000000 / /0110/ IMAD.WIDE R6, R6, R15, c[0x0][0x168] ; / 0x00005a0006067625 / / 0x000fc800078e020f / /0120/ FADD R0, R0, R9 ; / 0x0000000900007221 / / 0x008fc80000000000 / /0130/ FADD R0, R0, R11 ; / 0x0000000b00007221 / / 0x010fc80000000000 / /0140/ FMUL R9, R0, 0.25 ; / 0x3e80000000097820 / / 0x000fca0000400000 / /0150/ STG.E [R6.64], R9 ; / 0x0000000906007986 / / 0x000fe2000c101904 / /0160/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0170/ BRA 0x170; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0180/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <stdio.h> #include <assert.h> #include <cuda.h> #include <cuda_runtime.h> cudaDeviceProp deviceProps; bool cuInit() { bool res = true; int device = 0; cudaError_t err = cudaGetDevice( &device ); if( err != cudaSuccess ) { printf("%s\n", cudaGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { cudaGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device cudaSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; cudaMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); cudaMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer cudaMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), cudaMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); cudaMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), cudaMemcpyDeviceToHost ); cudaFree( sourceBuff ); cudaFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}	.file "tmpxft_000bf00e_00000000-6_gpu_processor.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2061: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "%s\n" .LC1: .string " Device Count: %d\n" .LC2: .string " Device Number: %d\n" .LC3: .string " Device name: %s\n" .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC4: .string " Memory Clock Rate (KHz): %d\n" .align 8 .LC5: .string " Memory Bus Width (bits): %d\n" .align 8 .LC7: .string " Peak Memory Bandwidth (GB/s): %f\n\n" .section .rodata.str1.1 .LC8: .string " Max Threads per Block: %d\n" .text .globl _Z6cuInitv .type _Z6cuInitv, @function _Z6cuInitv: .LFB2057: .cfi_startproc endbr64 pushq %r13 .cfi_def_cfa_offset 16 .cfi_offset 13, -16 pushq %r12 .cfi_def_cfa_offset 24 .cfi_offset 12, -24 pushq %rbp .cfi_def_cfa_offset 32 .cfi_offset 6, -32 pushq %rbx .cfi_def_cfa_offset 40 .cfi_offset 3, -40 subq $24, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 8(%rsp) xorl %eax, %eax movl $0, 4(%rsp) leaq 4(%rsp), %rdi call cudaGetDevice@PLT testl %eax, %eax jne .L11 movl 4(%rsp), %eax leal 1(%rax), %edx leaq .LC1(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 4(%rsp), %esi testl %esi, %esi js .L6 movl $0, %ebp leaq deviceProps(%rip), %rbx leaq .LC2(%rip), %r13 leaq .LC3(%rip), %r12 .L7: movq %rbx, %rdi call cudaGetDeviceProperties_v2@PLT movl %ebp, %edx movq %r13, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rdx movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 608(%rbx), %edx leaq .LC4(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 612(%rbx), %edx leaq .LC5(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT pxor %xmm0, %xmm0 cvtsi2sdl 608(%rbx), %xmm0 addsd %xmm0, %xmm0 movl 612(%rbx), %edx leal 7(%rdx), %eax testl %edx, %edx cmovns %edx, %eax sarl $3, %eax pxor %xmm1, %xmm1 cvtsi2sdl %eax, %xmm1 mulsd %xmm1, %xmm0 divsd .LC6(%rip), %xmm0 leaq .LC7(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movl 320(%rbx), %edx leaq .LC8(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT addl $1, %ebp movl 4(%rsp), %esi cmpl %ebp, %esi jge .L7 .L6: movl $0, %edi call cudaSetDevice@PLT movl $1, %eax .L3: movq 8(%rsp), %rdx subq %fs:40, %rdx jne .L12 addq $24, %rsp .cfi_remember_state .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %rbp .cfi_def_cfa_offset 24 popq %r12 .cfi_def_cfa_offset 16 popq %r13 .cfi_def_cfa_offset 8 ret .L11: .cfi_restore_state movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC0(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $0, %eax jmp .L3 .L12: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z6cuInitv, .-_Z6cuInitv .globl _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ .type _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_, @function _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_: .LFB2083: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movq %rsi, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) movq %rsp, %rax movq %rax, 88(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L17 .L13: movq 104(%rsp), %rax subq %fs:40, %rax jne .L18 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L17: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq _Z18cuBuildImageKernelPfS_(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L13 .L18: call __stack_chk_fail@PLT .cfi_endproc .LFE2083: .size _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_, .-_Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ .globl _Z18cuBuildImageKernelPfS_ .type _Z18cuBuildImageKernelPfS_, @function _Z18cuBuildImageKernelPfS_: .LFB2084: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2084: .size _Z18cuBuildImageKernelPfS_, .-_Z18cuBuildImageKernelPfS_ .globl _Z12cuBuildImagePKfiiS0_ii .type _Z12cuBuildImagePKfiiS0_ii, @function _Z12cuBuildImagePKfiiS0_ii: .LFB2058: .cfi_startproc endbr64 pushq %r15 .cfi_def_cfa_offset 16 .cfi_offset 15, -16 pushq %r14 .cfi_def_cfa_offset 24 .cfi_offset 14, -24 pushq %r13 .cfi_def_cfa_offset 32 .cfi_offset 13, -32 pushq %r12 .cfi_def_cfa_offset 40 .cfi_offset 12, -40 pushq %rbp .cfi_def_cfa_offset 48 .cfi_offset 6, -48 pushq %rbx .cfi_def_cfa_offset 56 .cfi_offset 3, -56 subq $56, %rsp .cfi_def_cfa_offset 112 movq %rdi, %r15 movq %rcx, %r14 movl %r8d, %r13d movl %r9d, %r12d movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl %r8d, %ebp imull %r9d, %ebp imull %edx, %esi movslq %esi, %rbx salq $2, %rbx movq %rsp, %rdi movq %rbx, %rsi call cudaMalloc@PLT movslq %ebp, %rbp salq $2, %rbp leaq 8(%rsp), %rdi movq %rbp, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx movq %r15, %rsi movq (%rsp), %rdi call cudaMemcpy@PLT movl %r13d, 16(%rsp) movl %r12d, 20(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L25 .L22: movl $2, %ecx movq %rbp, %rdx movq 8(%rsp), %rsi movq %r14, %rdi call cudaMemcpy@PLT movq (%rsp), %rdi call cudaFree@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L26 addq $56, %rsp .cfi_remember_state .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %rbp .cfi_def_cfa_offset 40 popq %r12 .cfi_def_cfa_offset 32 popq %r13 .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 ret .L25: .cfi_restore_state movq 8(%rsp), %rsi movq (%rsp), %rdi call _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ jmp .L22 .L26: call __stack_chk_fail@PLT .cfi_endproc .LFE2058: .size _Z12cuBuildImagePKfiiS0_ii, .-_Z12cuBuildImagePKfiiS0_ii .section .rodata.str1.1 .LC9: .string "_Z18cuBuildImageKernelPfS_" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2086: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC9(%rip), %rdx movq %rdx, %rcx leaq _Z18cuBuildImageKernelPfS_(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2086: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .globl deviceProps .bss .align 32 .type deviceProps, @object .size deviceProps, 1032 deviceProps: .zero 1032 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC6: .long 0 .long 1093567616 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> #include <assert.h> #include <cuda.h> #include <cuda_runtime.h> cudaDeviceProp deviceProps; bool cuInit() { bool res = true; int device = 0; cudaError_t err = cudaGetDevice( &device ); if( err != cudaSuccess ) { printf("%s\n", cudaGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { cudaGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device cudaSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; cudaMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); cudaMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer cudaMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), cudaMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); cudaMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), cudaMemcpyDeviceToHost ); cudaFree( sourceBuff ); cudaFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}	#include <stdio.h> #include <assert.h> #include <hip/hip_runtime.h> hipDeviceProp_t deviceProps; bool hipInit() { bool res = true; int device = 0; hipError_t err = hipGetDevice( &device ); if( err != hipSuccess ) { printf("%s\n", hipGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { hipGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device hipSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; hipMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); hipMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer hipMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), hipMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); hipMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), hipMemcpyDeviceToHost ); hipFree( sourceBuff ); hipFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <stdio.h> #include <assert.h> #include <hip/hip_runtime.h> hipDeviceProp_t deviceProps; bool hipInit() { bool res = true; int device = 0; hipError_t err = hipGetDevice( &device ); if( err != hipSuccess ) { printf("%s\n", hipGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { hipGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device hipSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; hipMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); hipMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer hipMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), hipMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); hipMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), hipMemcpyDeviceToHost ); hipFree( sourceBuff ); hipFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z18cuBuildImageKernelPfS_ .globl _Z18cuBuildImageKernelPfS_ .p2align 8 .type _Z18cuBuildImageKernelPfS_,@function _Z18cuBuildImageKernelPfS_: s_clause 0x1 s_load_b32 s8, s[0:1], 0x10 s_load_b128 s[0:3], s[0:1], 0x0 s_mov_b32 s7, 0 v_mov_b32_e32 v1, 0 s_waitcnt lgkmcnt(0) s_lshl_b32 s4, s8, 1 s_mul_i32 s10, s8, s15 s_mul_i32 s5, s4, s15 s_add_i32 s10, s10, s14 s_add_i32 s6, s5, s14 s_mov_b32 s5, s7 s_lshl_b32 s6, s6, 1 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_lshl_b64 s[8:9], s[6:7], 2 s_add_u32 s0, s0, s8 s_addc_u32 s1, s1, s9 s_lshl_b64 s[8:9], s[4:5], 2 s_load_b64 s[12:13], s[0:1], 0x0 s_add_u32 s8, s0, s8 s_addc_u32 s9, s1, s9 s_or_b32 s6, s4, 1 s_delay_alu instid0(SALU_CYCLE_1) s_lshl_b64 s[4:5], s[6:7], 2 s_load_b32 s6, s[8:9], 0x0 s_add_u32 s0, s0, s4 s_addc_u32 s1, s1, s5 s_ashr_i32 s11, s10, 31 s_load_b32 s0, s[0:1], 0x0 s_waitcnt lgkmcnt(0) v_add_f32_e64 v0, s12, s13 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_f32_e32 v0, s6, v0 v_add_f32_e32 v0, s0, v0 s_lshl_b64 s[0:1], s[10:11], 2 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) s_add_u32 s0, s2, s0 s_addc_u32 s1, s3, s1 v_mul_f32_e32 v0, 0x3e800000, v0 global_store_b32 v1, v0, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z18cuBuildImageKernelPfS_ .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 16 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z18cuBuildImageKernelPfS_, .Lfunc_end0-_Z18cuBuildImageKernelPfS_ .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z18cuBuildImageKernelPfS_ .private_segment_fixed_size: 0 .sgpr_count: 16 .sgpr_spill_count: 0 .symbol: _Z18cuBuildImageKernelPfS_.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <stdio.h> #include <assert.h> #include <hip/hip_runtime.h> hipDeviceProp_t deviceProps; bool hipInit() { bool res = true; int device = 0; hipError_t err = hipGetDevice( &device ); if( err != hipSuccess ) { printf("%s\n", hipGetErrorString(err)); res = false; return res; } printf(" Device Count: %d\n", device+1 ); for(int i = 0; i <= device; i++) { hipGetDeviceProperties(&deviceProps, device); printf(" Device Number: %d\n", i); printf(" Device name: %s\n", deviceProps.name); printf(" Memory Clock Rate (KHz): %d\n", deviceProps.memoryClockRate); printf(" Memory Bus Width (bits): %d\n", deviceProps.memoryBusWidth ); printf(" Peak Memory Bandwidth (GB/s): %f\n\n", 2.0deviceProps.memoryClockRate(deviceProps.memoryBusWidth/8)/1.0e6); printf(" Max Threads per Block: %d\n", deviceProps.maxThreadsPerBlock ); } // Select CUDA device hipSetDevice(0); return res; } //****************************************************************************************************** // !!! Exemple DO NOT TOCH !!!!! //__global__ void findMean(unsigned int dataForBlock, float inputData, float results) //{ // int index = blockIdx.x * blockDim.x + threadIdx.x; // float result = 0; // for (int i = 0; i < dataForBlock; i++) // { // result += inputData[index * dataForBlock + i]; // } // result /= dataForBlock; // results[index] = result; //} //void processWithGPU(float blocks, float results, unsigned int blockSize, unsigned int blocksCount) //{ // unsigned int realDataCount = blockSize * blocksCount; // cudaSetDevice(0); // float deviceInputData, // deviceResults; // cudaMalloc( (void*)&deviceInputData, realDataCount sizeof(float) ); // cudaMalloc( (void*)&deviceResults, realDataCount sizeof(float) ); // cudaMemcpy( deviceInputData, blocks, realDataCount * sizeof(float), cudaMemcpyHostToDevice ); // findMean<<<1, blocksCount>>>( blockSize, deviceInputData, deviceResults ); // cudaMemcpy( (void)results, deviceResults, blocksCount sizeof(float), cudaMemcpyDeviceToHost ); // cudaFree(deviceInputData); // cudaFree(deviceResults ); //} //******************************************************************************************************** // Build Image __global__ void cuBuildImageKernel( float* source, float* dest ) { int x = blockIdx.x; int y = blockIdx.y; int offset = x + y * gridDim.x; float* s = source + ( y * (gridDim.x * 2 ) * 2 + x * 2); float t_[4], t_sume, t_result; // Save temp values t_[0] = s[0]; t_[1] = s[1]; t_[2] = s[ gridDim.x * 2]; t_[3] = s[1+gridDim.x * 2]; // Calculate sum t_sume = t_[0] + t_[1] + t_[2] + t_[3]; // Calculate result t_result = t_sume * 0.25; dest[offset] = ( s[ 0 ] + s[ 1 ] + s[ gridDim.x * 2 ] + s[ gridDim.x * 2 + 1] ) * 0.25f; } void cuBuildImage( const float* source, int sourceWidth, int sourceHeight, const float* dest, int destWidth, int destHeight ) { int sourceBuffLength = sourceWidth * sourceHeight; int destBuffLength = destWidth * destHeight; // Reserving memory on GPU float sourceBuff, destBuff; hipMalloc( (void*)&sourceBuff, sourceBuffLength sizeof(float) ); hipMalloc( (void*)&destBuff, destBuffLength sizeof(float) ); // Copy input buffer hipMemcpy( sourceBuff, source, sourceBuffLength * sizeof(float), hipMemcpyHostToDevice ); dim3 grid( destWidth, destHeight ); cuBuildImageKernel<<<grid, 1>>>( sourceBuff, destBuff ); hipMemcpy( (void)dest, destBuff, destBuffLength sizeof(float), hipMemcpyDeviceToHost ); hipFree( sourceBuff ); hipFree( destBuff ); } //******************************************************************************************************** // Build Gradient //__global__ void cuBuildGradientsKernel() //{ //} //void cuBuildGradients(const float* ) //{ // const float* img_pt = data.image[level] + width; // const float* img_pt_max = data.image[level] + width * (height-1); // float* gradxyii_pt = data.gradients[level] + width; // // in each iteration i need -1,0,p1,mw,pw // float val_m1 = (img_pt-1); // float val_00 = img_pt; // float val_p1; // for(; img_pt < img_pt_max; img_pt++, gradxyii_pt++) // { // val_p1 = (img_pt+1); // ( (float)gradxyii_pt +0) = 0.5f(val_p1 - val_m1); // (((float)gradxyii_pt)+1) = 0.5f((img_pt+width) - (img_pt-width)); // (((float)gradxyii_pt)+2) = val_00; // val_m1 = val_00; // val_00 = val_p1; // } //} //******************************************************************************************************* // Build MaxGradient //__global__ void cuBuildMaxGradientsKernel() //{ //} //void buildMaxGradients(int level) //{ // float* maxGradTemp = FrameMemory::getInstance().getFloatBuffer(width * height); // // 1. write abs gradients in real data. // Eigen::Vector4f* gradxyii_pt = data.gradients[level] + width; // float* maxgrad_pt = data.maxGradients[level] + width; // float* maxgrad_pt_max = data.maxGradients[level] + width(height-1); // for(; maxgrad_pt < maxgrad_pt_max; maxgrad_pt++, gradxyii_pt++ ) // { // float dx = ( (float)gradxyii_pt); // float dy = (1+(float)gradxyii_pt); // maxgrad_pt = sqrtf(dxdx + dydy); // } // // 2. smear up/down direction into temp buffer // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // float maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_pt[-width]; // float g2 = maxgrad_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_pt[width]; // if(g1 < g3) // maxgrad_t_pt = g3; // else // maxgrad_t_pt = g1; // } // float numMappablePixels = 0; // // 2. smear left/right direction into real data // maxgrad_pt = data.maxGradients[level] + width+1; // maxgrad_pt_max = data.maxGradients[level] + width(height-1)-1; // maxgrad_t_pt = maxGradTemp + width+1; // for(;maxgrad_pt<maxgrad_pt_max; maxgrad_pt++, maxgrad_t_pt++ ) // { // float g1 = maxgrad_t_pt[-1]; // float g2 = maxgrad_t_pt[0]; // if(g1 < g2) // g1 = g2; // float g3 = maxgrad_t_pt[1]; // if(g1 < g3) // { // maxgrad_pt = g3; // if(g3 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // else // { // maxgrad_pt = g1; // if(g1 >= MIN_ABS_GRAD_CREATE) // numMappablePixels++; // } // } // if(level==0) // this->numMappablePixels = numMappablePixels; // FrameMemory::getInstance().returnBuffer(maxGradTemp); //} //******************************************************************************************************* //__global__ void cuBuildIDepthAndIDepthVarKernel() //{ //} //// Build IDepth And IDepth Var //void buildIDepthAndIDepthVar( int level ) //{ // int sw = data.width[level - 1]; // const float* idepthSource = data.idepth [level - 1]; // const float* idepthVarSource = data.idepthVar[level - 1]; // float* idepthDest = data.idepth [level]; // float* idepthVarDest = data.idepthVar[level]; // for( int y = 0; y < height; y++ ) // { // for( int x = 0; x < width; x++ ) // { // int idx = 2 * ( x + y * sw ); // int idxDest = ( x + y * width ); // float idepthSumsSum = 0; // float ivarSumsSum = 0; // int num = 0; // // build sums // float ivar; // float var = idepthVarSource[idx]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[idx]; // num++; // } // var = idepthVarSource[ idx + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + 1 ]; // num++; // } // var = idepthVarSource[ idx + sw ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw ]; // num++; // } // var = idepthVarSource[ idx + sw + 1 ]; // if( var > 0 ) // { // ivar = 1.0f / var; // ivarSumsSum += ivar; // idepthSumsSum += ivar * idepthSource[ idx + sw + 1 ]; // num++; // } // if(num > 0) // { // float depth = ivarSumsSum / idepthSumsSum; // idepthDest [ idxDest ] = 1.0f / depth; // idepthVarDest[ idxDest ] = num / ivarSumsSum; // } // else // { // idepthDest [ idxDest ] = -1; // idepthVarDest[ idxDest ] = -1; // } // } // } //}	.text .file "gpu_processor.hip" .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z7hipInitv .LCPI0_0: .quad 0x412e848000000000 # double 1.0E+6 .text .globl _Z7hipInitv .p2align 4, 0x90 .type _Z7hipInitv,@function _Z7hipInitv: # @_Z7hipInitv .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %rbx .cfi_def_cfa_offset 24 pushq %rax .cfi_def_cfa_offset 32 .cfi_offset %rbx, -24 .cfi_offset %rbp, -16 movl $0, 4(%rsp) leaq 4(%rsp), %rdi callq hipGetDevice movl %eax, %ebx testl %eax, %eax je .LBB0_2 # %bb.1: movl %ebx, %edi callq hipGetErrorString movq %rax, %rdi callq puts@PLT jmp .LBB0_6 .LBB0_2: movl 4(%rsp), %esi incl %esi movl $.L.str.1, %edi xorl %eax, %eax callq printf movl 4(%rsp), %esi testl %esi, %esi js .LBB0_5 # %bb.3: # %.lr.ph.preheader movl $-1, %ebp .p2align 4, 0x90 .LBB0_4: # %.lr.ph # =>This Inner Loop Header: Depth=1 incl %ebp movl $deviceProps, %edi callq hipGetDevicePropertiesR0600 movl $.L.str.2, %edi movl %ebp, %esi xorl %eax, %eax callq printf movl $.L.str.3, %edi movl $deviceProps, %esi xorl %eax, %eax callq printf movl deviceProps+608(%rip), %esi movl $.L.str.4, %edi xorl %eax, %eax callq printf movl deviceProps+612(%rip), %esi movl $.L.str.5, %edi xorl %eax, %eax callq printf xorps %xmm1, %xmm1 cvtsi2sdl deviceProps+608(%rip), %xmm1 addsd %xmm1, %xmm1 movl deviceProps+612(%rip), %eax leal 7(%rax), %ecx testl %eax, %eax cmovnsl %eax, %ecx sarl $3, %ecx xorps %xmm0, %xmm0 cvtsi2sd %ecx, %xmm0 mulsd %xmm1, %xmm0 divsd .LCPI0_0(%rip), %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf movl deviceProps+320(%rip), %esi movl $.L.str.7, %edi xorl %eax, %eax callq printf movl 4(%rsp), %esi cmpl %esi, %ebp jl .LBB0_4 .LBB0_5: # %._crit_edge xorl %edi, %edi callq hipSetDevice .LBB0_6: testl %ebx, %ebx sete %al addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end0: .size _Z7hipInitv, .Lfunc_end0-_Z7hipInitv .cfi_endproc # -- End function .globl _Z33__device_stub__cuBuildImageKernelPfS_ # -- Begin function _Z33__device_stub__cuBuildImageKernelPfS_ .p2align 4, 0x90 .type _Z33__device_stub__cuBuildImageKernelPfS_,@function _Z33__device_stub__cuBuildImageKernelPfS_: # @_Z33__device_stub__cuBuildImageKernelPfS_ .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movq %rsi, 48(%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 48(%rsp), %rax movq %rax, 72(%rsp) leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z18cuBuildImageKernelPfS_, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end1: .size _Z33__device_stub__cuBuildImageKernelPfS_, .Lfunc_end1-_Z33__device_stub__cuBuildImageKernelPfS_ .cfi_endproc # -- End function .globl _Z12cuBuildImagePKfiiS0_ii # -- Begin function _Z12cuBuildImagePKfiiS0_ii .p2align 4, 0x90 .type _Z12cuBuildImagePKfiiS0_ii,@function _Z12cuBuildImagePKfiiS0_ii: # @_Z12cuBuildImagePKfiiS0_ii .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %r13 .cfi_def_cfa_offset 40 pushq %r12 .cfi_def_cfa_offset 48 pushq %rbx .cfi_def_cfa_offset 56 subq $104, %rsp .cfi_def_cfa_offset 160 .cfi_offset %rbx, -56 .cfi_offset %r12, -48 .cfi_offset %r13, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movl %r9d, %r15d movl %r8d, %ebp movq %rcx, %rbx movq %rdi, %r12 imull %edx, %esi movl %r9d, %r14d imull %r8d, %r14d movslq %esi, %r13 shlq $2, %r13 leaq 8(%rsp), %rdi movq %r13, %rsi callq hipMalloc movslq %r14d, %r14 shlq $2, %r14 movq %rsp, %rdi movq %r14, %rsi callq hipMalloc movq 8(%rsp), %rdi movq %r12, %rsi movq %r13, %rdx movl $1, %ecx callq hipMemcpy movl %ebp, %eax shlq $32, %r15 orq %rax, %r15 movabsq $4294967297, %rdx # imm = 0x100000001 movq %r15, %rdi movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB2_2 # %bb.1: movq 8(%rsp), %rax movq (%rsp), %rcx movq %rax, 72(%rsp) movq %rcx, 64(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z18cuBuildImageKernelPfS_, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB2_2: movq (%rsp), %rsi movq %rbx, %rdi movq %r14, %rdx movl $2, %ecx callq hipMemcpy movq 8(%rsp), %rdi callq hipFree movq (%rsp), %rdi callq hipFree addq $104, %rsp .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %r12 .cfi_def_cfa_offset 40 popq %r13 .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end2: .size _Z12cuBuildImagePKfiiS0_ii, .Lfunc_end2-_Z12cuBuildImagePKfiiS0_ii .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB3_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB3_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z18cuBuildImageKernelPfS_, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end3: .size __hip_module_ctor, .Lfunc_end3-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB4_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB4_2: retq .Lfunc_end4: .size __hip_module_dtor, .Lfunc_end4-__hip_module_dtor .cfi_endproc # -- End function .type deviceProps,@object # @deviceProps .bss .globl deviceProps .p2align 3, 0x0 deviceProps: .zero 1472 .size deviceProps, 1472 .type .L.str.1,@object # @.str.1 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.1: .asciz " Device Count: %d\n" .size .L.str.1, 20 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz " Device Number: %d\n" .size .L.str.2, 21 .type .L.str.3,@object # @.str.3 .L.str.3: .asciz " Device name: %s\n" .size .L.str.3, 19 .type .L.str.4,@object # @.str.4 .L.str.4: .asciz " Memory Clock Rate (KHz): %d\n" .size .L.str.4, 31 .type .L.str.5,@object # @.str.5 .L.str.5: .asciz " Memory Bus Width (bits): %d\n" .size .L.str.5, 31 .type .L.str.6,@object # @.str.6 .L.str.6: .asciz " Peak Memory Bandwidth (GB/s): %f\n\n" .size .L.str.6, 37 .type .L.str.7,@object # @.str.7 .L.str.7: .asciz " Max Threads per Block: %d\n" .size .L.str.7, 29 .type _Z18cuBuildImageKernelPfS_,@object # @_Z18cuBuildImageKernelPfS_ .section .rodata,"a",@progbits .globl _Z18cuBuildImageKernelPfS_ .p2align 3, 0x0 _Z18cuBuildImageKernelPfS_: .quad _Z33__device_stub__cuBuildImageKernelPfS_ .size _Z18cuBuildImageKernelPfS_, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z18cuBuildImageKernelPfS_" .size .L__unnamed_1, 27 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z33__device_stub__cuBuildImageKernelPfS_ .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym deviceProps .addrsig_sym _Z18cuBuildImageKernelPfS_ .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z18cuBuildImageKernelPfS_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R6, SR_CTAID.X ; / 0x0000000000067919 / / 0x000e220000002500 / /0020/ MOV R5, c[0x0][0xc] ; / 0x0000030000057a02 / / 0x000fe20000000f00 / /0030/ HFMA2.MMA R15, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff0f7435 / / 0x000fe200000001ff / /0040/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0050/ S2R R13, SR_CTAID.Y ; / 0x00000000000d7919 / / 0x000e220000002600 / /0060/ SHF.L.U32 R5, R5, 0x1, RZ ; / 0x0000000105057819 / / 0x000fca00000006ff / /0070/ IMAD R0, R5, R13, R6 ; / 0x0000000d05007224 / / 0x001fca00078e0206 / /0080/ SHF.L.U32 R0, R0, 0x1, RZ ; / 0x0000000100007819 / / 0x000fca00000006ff / /0090/ IMAD.WIDE.U32 R2, R0, R15, c[0x0][0x160] ; / 0x0000580000027625 / / 0x000fca00078e000f / /00a0/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea2000c1e1900 / /00b0/ IMAD.WIDE.U32 R4, R5, 0x4, R2 ; / 0x0000000405047825 / / 0x000fc600078e0002 / /00c0/ LDG.E R7, [R2.64+0x4] ; / 0x0000040402077981 / / 0x000ea8000c1e1900 / /00d0/ LDG.E R9, [R4.64] ; / 0x0000000404097981 / / 0x000ee8000c1e1900 / /00e0/ LDG.E R11, [R4.64+0x4] ; / 0x00000404040b7981 / / 0x000f22000c1e1900 / /00f0/ IMAD R6, R13, c[0x0][0xc], R6 ; / 0x000003000d067a24 / / 0x000fe400078e0206 / /0100/ FADD R0, R0, R7 ; / 0x0000000700007221 / / 0x004fc40000000000 / /0110/ IMAD.WIDE R6, R6, R15, c[0x0][0x168] ; / 0x00005a0006067625 / / 0x000fc800078e020f / /0120/ FADD R0, R0, R9 ; / 0x0000000900007221 / / 0x008fc80000000000 / /0130/ FADD R0, R0, R11 ; / 0x0000000b00007221 / / 0x010fc80000000000 / /0140/ FMUL R9, R0, 0.25 ; / 0x3e80000000097820 / / 0x000fca0000400000 / /0150/ STG.E [R6.64], R9 ; / 0x0000000906007986 / / 0x000fe2000c101904 / /0160/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0170/ BRA 0x170; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0180/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z18cuBuildImageKernelPfS_ .globl _Z18cuBuildImageKernelPfS_ .p2align 8 .type _Z18cuBuildImageKernelPfS_,@function _Z18cuBuildImageKernelPfS_: s_clause 0x1 s_load_b32 s8, s[0:1], 0x10 s_load_b128 s[0:3], s[0:1], 0x0 s_mov_b32 s7, 0 v_mov_b32_e32 v1, 0 s_waitcnt lgkmcnt(0) s_lshl_b32 s4, s8, 1 s_mul_i32 s10, s8, s15 s_mul_i32 s5, s4, s15 s_add_i32 s10, s10, s14 s_add_i32 s6, s5, s14 s_mov_b32 s5, s7 s_lshl_b32 s6, s6, 1 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_lshl_b64 s[8:9], s[6:7], 2 s_add_u32 s0, s0, s8 s_addc_u32 s1, s1, s9 s_lshl_b64 s[8:9], s[4:5], 2 s_load_b64 s[12:13], s[0:1], 0x0 s_add_u32 s8, s0, s8 s_addc_u32 s9, s1, s9 s_or_b32 s6, s4, 1 s_delay_alu instid0(SALU_CYCLE_1) s_lshl_b64 s[4:5], s[6:7], 2 s_load_b32 s6, s[8:9], 0x0 s_add_u32 s0, s0, s4 s_addc_u32 s1, s1, s5 s_ashr_i32 s11, s10, 31 s_load_b32 s0, s[0:1], 0x0 s_waitcnt lgkmcnt(0) v_add_f32_e64 v0, s12, s13 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_add_f32_e32 v0, s6, v0 v_add_f32_e32 v0, s0, v0 s_lshl_b64 s[0:1], s[10:11], 2 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) s_add_u32 s0, s2, s0 s_addc_u32 s1, s3, s1 v_mul_f32_e32 v0, 0x3e800000, v0 global_store_b32 v1, v0, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z18cuBuildImageKernelPfS_ .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 14 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 1 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 16 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z18cuBuildImageKernelPfS_, .Lfunc_end0-_Z18cuBuildImageKernelPfS_ .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z18cuBuildImageKernelPfS_ .private_segment_fixed_size: 0 .sgpr_count: 16 .sgpr_spill_count: 0 .symbol: _Z18cuBuildImageKernelPfS_.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_000bf00e_00000000-6_gpu_processor.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2061: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "%s\n" .LC1: .string " Device Count: %d\n" .LC2: .string " Device Number: %d\n" .LC3: .string " Device name: %s\n" .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC4: .string " Memory Clock Rate (KHz): %d\n" .align 8 .LC5: .string " Memory Bus Width (bits): %d\n" .align 8 .LC7: .string " Peak Memory Bandwidth (GB/s): %f\n\n" .section .rodata.str1.1 .LC8: .string " Max Threads per Block: %d\n" .text .globl _Z6cuInitv .type _Z6cuInitv, @function _Z6cuInitv: .LFB2057: .cfi_startproc endbr64 pushq %r13 .cfi_def_cfa_offset 16 .cfi_offset 13, -16 pushq %r12 .cfi_def_cfa_offset 24 .cfi_offset 12, -24 pushq %rbp .cfi_def_cfa_offset 32 .cfi_offset 6, -32 pushq %rbx .cfi_def_cfa_offset 40 .cfi_offset 3, -40 subq $24, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 8(%rsp) xorl %eax, %eax movl $0, 4(%rsp) leaq 4(%rsp), %rdi call cudaGetDevice@PLT testl %eax, %eax jne .L11 movl 4(%rsp), %eax leal 1(%rax), %edx leaq .LC1(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 4(%rsp), %esi testl %esi, %esi js .L6 movl $0, %ebp leaq deviceProps(%rip), %rbx leaq .LC2(%rip), %r13 leaq .LC3(%rip), %r12 .L7: movq %rbx, %rdi call cudaGetDeviceProperties_v2@PLT movl %ebp, %edx movq %r13, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq %rbx, %rdx movq %r12, %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 608(%rbx), %edx leaq .LC4(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl 612(%rbx), %edx leaq .LC5(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT pxor %xmm0, %xmm0 cvtsi2sdl 608(%rbx), %xmm0 addsd %xmm0, %xmm0 movl 612(%rbx), %edx leal 7(%rdx), %eax testl %edx, %edx cmovns %edx, %eax sarl $3, %eax pxor %xmm1, %xmm1 cvtsi2sdl %eax, %xmm1 mulsd %xmm1, %xmm0 divsd .LC6(%rip), %xmm0 leaq .LC7(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movl 320(%rbx), %edx leaq .LC8(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT addl $1, %ebp movl 4(%rsp), %esi cmpl %ebp, %esi jge .L7 .L6: movl $0, %edi call cudaSetDevice@PLT movl $1, %eax .L3: movq 8(%rsp), %rdx subq %fs:40, %rdx jne .L12 addq $24, %rsp .cfi_remember_state .cfi_def_cfa_offset 40 popq %rbx .cfi_def_cfa_offset 32 popq %rbp .cfi_def_cfa_offset 24 popq %r12 .cfi_def_cfa_offset 16 popq %r13 .cfi_def_cfa_offset 8 ret .L11: .cfi_restore_state movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC0(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $0, %eax jmp .L3 .L12: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z6cuInitv, .-_Z6cuInitv .globl _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ .type _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_, @function _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_: .LFB2083: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movq %rsi, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) movq %rsp, %rax movq %rax, 88(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L17 .L13: movq 104(%rsp), %rax subq %fs:40, %rax jne .L18 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L17: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq _Z18cuBuildImageKernelPfS_(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L13 .L18: call __stack_chk_fail@PLT .cfi_endproc .LFE2083: .size _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_, .-_Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ .globl _Z18cuBuildImageKernelPfS_ .type _Z18cuBuildImageKernelPfS_, @function _Z18cuBuildImageKernelPfS_: .LFB2084: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2084: .size _Z18cuBuildImageKernelPfS_, .-_Z18cuBuildImageKernelPfS_ .globl _Z12cuBuildImagePKfiiS0_ii .type _Z12cuBuildImagePKfiiS0_ii, @function _Z12cuBuildImagePKfiiS0_ii: .LFB2058: .cfi_startproc endbr64 pushq %r15 .cfi_def_cfa_offset 16 .cfi_offset 15, -16 pushq %r14 .cfi_def_cfa_offset 24 .cfi_offset 14, -24 pushq %r13 .cfi_def_cfa_offset 32 .cfi_offset 13, -32 pushq %r12 .cfi_def_cfa_offset 40 .cfi_offset 12, -40 pushq %rbp .cfi_def_cfa_offset 48 .cfi_offset 6, -48 pushq %rbx .cfi_def_cfa_offset 56 .cfi_offset 3, -56 subq $56, %rsp .cfi_def_cfa_offset 112 movq %rdi, %r15 movq %rcx, %r14 movl %r8d, %r13d movl %r9d, %r12d movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl %r8d, %ebp imull %r9d, %ebp imull %edx, %esi movslq %esi, %rbx salq $2, %rbx movq %rsp, %rdi movq %rbx, %rsi call cudaMalloc@PLT movslq %ebp, %rbp salq $2, %rbp leaq 8(%rsp), %rdi movq %rbp, %rsi call cudaMalloc@PLT movl $1, %ecx movq %rbx, %rdx movq %r15, %rsi movq (%rsp), %rdi call cudaMemcpy@PLT movl %r13d, 16(%rsp) movl %r12d, 20(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L25 .L22: movl $2, %ecx movq %rbp, %rdx movq 8(%rsp), %rsi movq %r14, %rdi call cudaMemcpy@PLT movq (%rsp), %rdi call cudaFree@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L26 addq $56, %rsp .cfi_remember_state .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %rbp .cfi_def_cfa_offset 40 popq %r12 .cfi_def_cfa_offset 32 popq %r13 .cfi_def_cfa_offset 24 popq %r14 .cfi_def_cfa_offset 16 popq %r15 .cfi_def_cfa_offset 8 ret .L25: .cfi_restore_state movq 8(%rsp), %rsi movq (%rsp), %rdi call _Z40__device_stub__Z18cuBuildImageKernelPfS_PfS_ jmp .L22 .L26: call __stack_chk_fail@PLT .cfi_endproc .LFE2058: .size _Z12cuBuildImagePKfiiS0_ii, .-_Z12cuBuildImagePKfiiS0_ii .section .rodata.str1.1 .LC9: .string "_Z18cuBuildImageKernelPfS_" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2086: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC9(%rip), %rdx movq %rdx, %rcx leaq _Z18cuBuildImageKernelPfS_(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2086: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .globl deviceProps .bss .align 32 .type deviceProps, @object .size deviceProps, 1032 deviceProps: .zero 1032 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC6: .long 0 .long 1093567616 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "gpu_processor.hip" .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 # -- Begin function _Z7hipInitv .LCPI0_0: .quad 0x412e848000000000 # double 1.0E+6 .text .globl _Z7hipInitv .p2align 4, 0x90 .type _Z7hipInitv,@function _Z7hipInitv: # @_Z7hipInitv .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %rbx .cfi_def_cfa_offset 24 pushq %rax .cfi_def_cfa_offset 32 .cfi_offset %rbx, -24 .cfi_offset %rbp, -16 movl $0, 4(%rsp) leaq 4(%rsp), %rdi callq hipGetDevice movl %eax, %ebx testl %eax, %eax je .LBB0_2 # %bb.1: movl %ebx, %edi callq hipGetErrorString movq %rax, %rdi callq puts@PLT jmp .LBB0_6 .LBB0_2: movl 4(%rsp), %esi incl %esi movl $.L.str.1, %edi xorl %eax, %eax callq printf movl 4(%rsp), %esi testl %esi, %esi js .LBB0_5 # %bb.3: # %.lr.ph.preheader movl $-1, %ebp .p2align 4, 0x90 .LBB0_4: # %.lr.ph # =>This Inner Loop Header: Depth=1 incl %ebp movl $deviceProps, %edi callq hipGetDevicePropertiesR0600 movl $.L.str.2, %edi movl %ebp, %esi xorl %eax, %eax callq printf movl $.L.str.3, %edi movl $deviceProps, %esi xorl %eax, %eax callq printf movl deviceProps+608(%rip), %esi movl $.L.str.4, %edi xorl %eax, %eax callq printf movl deviceProps+612(%rip), %esi movl $.L.str.5, %edi xorl %eax, %eax callq printf xorps %xmm1, %xmm1 cvtsi2sdl deviceProps+608(%rip), %xmm1 addsd %xmm1, %xmm1 movl deviceProps+612(%rip), %eax leal 7(%rax), %ecx testl %eax, %eax cmovnsl %eax, %ecx sarl $3, %ecx xorps %xmm0, %xmm0 cvtsi2sd %ecx, %xmm0 mulsd %xmm1, %xmm0 divsd .LCPI0_0(%rip), %xmm0 movl $.L.str.6, %edi movb $1, %al callq printf movl deviceProps+320(%rip), %esi movl $.L.str.7, %edi xorl %eax, %eax callq printf movl 4(%rsp), %esi cmpl %esi, %ebp jl .LBB0_4 .LBB0_5: # %._crit_edge xorl %edi, %edi callq hipSetDevice .LBB0_6: testl %ebx, %ebx sete %al addq $8, %rsp .cfi_def_cfa_offset 24 popq %rbx .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end0: .size _Z7hipInitv, .Lfunc_end0-_Z7hipInitv .cfi_endproc # -- End function .globl _Z33__device_stub__cuBuildImageKernelPfS_ # -- Begin function _Z33__device_stub__cuBuildImageKernelPfS_ .p2align 4, 0x90 .type _Z33__device_stub__cuBuildImageKernelPfS_,@function _Z33__device_stub__cuBuildImageKernelPfS_: # @_Z33__device_stub__cuBuildImageKernelPfS_ .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movq %rsi, 48(%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 48(%rsp), %rax movq %rax, 72(%rsp) leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z18cuBuildImageKernelPfS_, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end1: .size _Z33__device_stub__cuBuildImageKernelPfS_, .Lfunc_end1-_Z33__device_stub__cuBuildImageKernelPfS_ .cfi_endproc # -- End function .globl _Z12cuBuildImagePKfiiS0_ii # -- Begin function _Z12cuBuildImagePKfiiS0_ii .p2align 4, 0x90 .type _Z12cuBuildImagePKfiiS0_ii,@function _Z12cuBuildImagePKfiiS0_ii: # @_Z12cuBuildImagePKfiiS0_ii .cfi_startproc # %bb.0: pushq %rbp .cfi_def_cfa_offset 16 pushq %r15 .cfi_def_cfa_offset 24 pushq %r14 .cfi_def_cfa_offset 32 pushq %r13 .cfi_def_cfa_offset 40 pushq %r12 .cfi_def_cfa_offset 48 pushq %rbx .cfi_def_cfa_offset 56 subq $104, %rsp .cfi_def_cfa_offset 160 .cfi_offset %rbx, -56 .cfi_offset %r12, -48 .cfi_offset %r13, -40 .cfi_offset %r14, -32 .cfi_offset %r15, -24 .cfi_offset %rbp, -16 movl %r9d, %r15d movl %r8d, %ebp movq %rcx, %rbx movq %rdi, %r12 imull %edx, %esi movl %r9d, %r14d imull %r8d, %r14d movslq %esi, %r13 shlq $2, %r13 leaq 8(%rsp), %rdi movq %r13, %rsi callq hipMalloc movslq %r14d, %r14 shlq $2, %r14 movq %rsp, %rdi movq %r14, %rsi callq hipMalloc movq 8(%rsp), %rdi movq %r12, %rsi movq %r13, %rdx movl $1, %ecx callq hipMemcpy movl %ebp, %eax shlq $32, %r15 orq %rax, %r15 movabsq $4294967297, %rdx # imm = 0x100000001 movq %r15, %rdi movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB2_2 # %bb.1: movq 8(%rsp), %rax movq (%rsp), %rcx movq %rax, 72(%rsp) movq %rcx, 64(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z18cuBuildImageKernelPfS_, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB2_2: movq (%rsp), %rsi movq %rbx, %rdi movq %r14, %rdx movl $2, %ecx callq hipMemcpy movq 8(%rsp), %rdi callq hipFree movq (%rsp), %rdi callq hipFree addq $104, %rsp .cfi_def_cfa_offset 56 popq %rbx .cfi_def_cfa_offset 48 popq %r12 .cfi_def_cfa_offset 40 popq %r13 .cfi_def_cfa_offset 32 popq %r14 .cfi_def_cfa_offset 24 popq %r15 .cfi_def_cfa_offset 16 popq %rbp .cfi_def_cfa_offset 8 retq .Lfunc_end2: .size _Z12cuBuildImagePKfiiS0_ii, .Lfunc_end2-_Z12cuBuildImagePKfiiS0_ii .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB3_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB3_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z18cuBuildImageKernelPfS_, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end3: .size __hip_module_ctor, .Lfunc_end3-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB4_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB4_2: retq .Lfunc_end4: .size __hip_module_dtor, .Lfunc_end4-__hip_module_dtor .cfi_endproc # -- End function .type deviceProps,@object # @deviceProps .bss .globl deviceProps .p2align 3, 0x0 deviceProps: .zero 1472 .size deviceProps, 1472 .type .L.str.1,@object # @.str.1 .section .rodata.str1.1,"aMS",@progbits,1 .L.str.1: .asciz " Device Count: %d\n" .size .L.str.1, 20 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz " Device Number: %d\n" .size .L.str.2, 21 .type .L.str.3,@object # @.str.3 .L.str.3: .asciz " Device name: %s\n" .size .L.str.3, 19 .type .L.str.4,@object # @.str.4 .L.str.4: .asciz " Memory Clock Rate (KHz): %d\n" .size .L.str.4, 31 .type .L.str.5,@object # @.str.5 .L.str.5: .asciz " Memory Bus Width (bits): %d\n" .size .L.str.5, 31 .type .L.str.6,@object # @.str.6 .L.str.6: .asciz " Peak Memory Bandwidth (GB/s): %f\n\n" .size .L.str.6, 37 .type .L.str.7,@object # @.str.7 .L.str.7: .asciz " Max Threads per Block: %d\n" .size .L.str.7, 29 .type _Z18cuBuildImageKernelPfS_,@object # @_Z18cuBuildImageKernelPfS_ .section .rodata,"a",@progbits .globl _Z18cuBuildImageKernelPfS_ .p2align 3, 0x0 _Z18cuBuildImageKernelPfS_: .quad _Z33__device_stub__cuBuildImageKernelPfS_ .size _Z18cuBuildImageKernelPfS_, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z18cuBuildImageKernelPfS_" .size .L__unnamed_1, 27 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z33__device_stub__cuBuildImageKernelPfS_ .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym deviceProps .addrsig_sym _Z18cuBuildImageKernelPfS_ .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable cudaError_t errorcode = cudaSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = cudaMalloc((void *)&sum_d, sizeof(float)))!= cudaSuccess) { printf("cudaMalloc(): %s/n", cudaGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = cudaMemcpy( sum_d, sum_h, sizeof(float), cudaMemcpyHostToDevice)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = cudaMemcpy( sum_h, sum_d, sizeof(float), cudaMemcpyDeviceToHost)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); cudaFree(sum_d); return 0; }	code for sm_80 Function : _Z16integratorKernelPfff .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e280000002500 / /0020/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0030/ IMAD R0, R0, c[0x0][0x0], R3 ; / 0x0000000000007a24 / / 0x001fca00078e0203 / /0040/ ISETP.GT.AND P0, PT, R0, 0xfff, PT ; / 0x00000fff0000780c / / 0x000fda0003f04270 / /0050/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0060/ I2F R0, R0 ; / 0x0000000000007306 / / 0x000e220000201400 / /0070/ MOV R3, c[0x0][0x16c] ; / 0x00005b0000037a02 / / 0x000fe20000000f00 / /0080/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc80000000a00 / /0090/ FFMA R10, R0, R3, c[0x0][0x168] ; / 0x00005a00000a7623 / / 0x001fc80000000003 / /00a0/ FADD R12, R10.reuse, c[0x0][0x16c] ; / 0x00005b000a0c7621 / / 0x040fe20000000000 / /00b0/ F2F.F64.F32 R4, R10 ; / 0x0000000a00047310 / / 0x000fe20000201800 / /00c0/ FMUL R11, R10, R10 ; / 0x0000000a0a0b7220 / / 0x000fe40000400000 / /00d0/ FMUL R13, R12, R12 ; / 0x0000000c0c0d7220 / / 0x000fca0000400000 / /00e0/ F2F.F64.F32 R2, R11 ; / 0x0000000b00027310 / / 0x000e300000201800 / /00f0/ F2F.F64.F32 R8, R12 ; / 0x0000000c00087310 / / 0x000ff00000201800 / /0100/ F2F.F64.F32 R6, R13 ; / 0x0000000d00067310 / / 0x000e620000201800 / /0110/ DFMA R2, R4, 2, R2 ; / 0x400000000402782b / / 0x0010840000000002 / /0120/ MOV R4, c[0x0][0x160] ; / 0x0000580000047a02 / / 0x001fe40000000f00 / /0130/ MOV R5, c[0x0][0x164] ; / 0x0000590000057a02 / / 0x000fe40000000f00 / /0140/ DADD R2, R2, 3 ; / 0x4008000002027429 / / 0x004e080000000000 / /0150/ DFMA R6, R8, 2, R6 ; / 0x400000000806782b / / 0x002e4c0000000006 / /0160/ F2F.F32.F64 R2, R2 ; / 0x0000000200027310 / / 0x001fe20000301000 / /0170/ DADD R6, R6, 3 ; / 0x4008000006067429 / / 0x002e140000000000 / /0180/ F2F.F32.F64 R7, R6 ; / 0x0000000600077310 / / 0x001e240000301000 / /0190/ FADD R9, R2, R7 ; / 0x0000000702097221 / / 0x001fca0000000000 / /01a0/ RED.E.ADD.F32.FTZ.RN.STRONG.GPU [R4.64], R9 ; / 0x000000090400798e / / 0x000fe2000c10e784 / /01b0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /01c0/ BRA 0x1c0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0200/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0210/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0220/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0230/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0240/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0250/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0260/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0270/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable cudaError_t errorcode = cudaSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = cudaMalloc((void *)&sum_d, sizeof(float)))!= cudaSuccess) { printf("cudaMalloc(): %s/n", cudaGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = cudaMemcpy( sum_d, sum_h, sizeof(float), cudaMemcpyHostToDevice)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = cudaMemcpy( sum_h, sum_d, sizeof(float), cudaMemcpyDeviceToHost)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); cudaFree(sum_d); return 0; }	.file "tmpxft_0019a61d_00000000-6_trap2.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2061: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z10myfunctionf .type _Z10myfunctionf, @function _Z10myfunctionf: .LFB2057: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2057: .size _Z10myfunctionf, .-_Z10myfunctionf .globl _Z38__device_stub__Z16integratorKernelPfffPfff .type _Z38__device_stub__Z16integratorKernelPfffPfff, @function _Z38__device_stub__Z16integratorKernelPfffPfff: .LFB2083: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movss %xmm0, 4(%rsp) movss %xmm1, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) leaq 4(%rsp), %rax movq %rax, 88(%rsp) movq %rsp, %rax movq %rax, 96(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L9 .L5: movq 104(%rsp), %rax subq %fs:40, %rax jne .L10 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L9: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq _Z16integratorKernelPfff(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L5 .L10: call __stack_chk_fail@PLT .cfi_endproc .LFE2083: .size _Z38__device_stub__Z16integratorKernelPfffPfff, .-_Z38__device_stub__Z16integratorKernelPfffPfff .globl _Z16integratorKernelPfff .type _Z16integratorKernelPfff, @function _Z16integratorKernelPfff: .LFB2084: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z38__device_stub__Z16integratorKernelPfffPfff addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2084: .size _Z16integratorKernelPfff, .-_Z16integratorKernelPfff .section .rodata.str1.1,"aMS",@progbits,1 .LC1: .string "cudaMalloc(): %s/n" .LC2: .string "cudaMemcpy(): %s\n" .LC5: .string "The integral is: %f\n" .text .globl main .type main, @function main: .LFB2058: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 subq $48, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl $4, %edi call malloc@PLT movq %rax, %rbx movl $0x00000000, (%rax) leaq 8(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT testl %eax, %eax jne .L20 movl $1, %ecx movl $4, %edx movq %rbx, %rsi movq 8(%rsp), %rdi call cudaMemcpy@PLT testl %eax, %eax jne .L21 movl $256, 28(%rsp) movl $1, 32(%rsp) movl $16, 16(%rsp) movl $1, 20(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L22 .L16: movl $2, %ecx movl $4, %edx movq 8(%rsp), %rsi movq %rbx, %rdi call cudaMemcpy@PLT testl %eax, %eax jne .L23 movss .LC3(%rip), %xmm0 mulss (%rbx), %xmm0 cvtss2sd %xmm0, %xmm0 mulsd .LC4(%rip), %xmm0 leaq .LC5(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movq %rbx, %rdi call free@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L24 movl $0, %eax addq $48, %rsp .cfi_remember_state .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 ret .L20: .cfi_restore_state movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC1(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L21: movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L22: movss .LC3(%rip), %xmm1 pxor %xmm0, %xmm0 movq 8(%rsp), %rdi call _Z38__device_stub__Z16integratorKernelPfffPfff jmp .L16 .L23: movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2058: .size main, .-main .section .rodata.str1.1 .LC6: .string "_Z16integratorKernelPfff" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2086: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC6(%rip), %rdx movq %rdx, %rcx leaq _Z16integratorKernelPfff(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2086: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC3: .long 964689920 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC4: .long 0 .long 1071644672 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable cudaError_t errorcode = cudaSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = cudaMalloc((void *)&sum_d, sizeof(float)))!= cudaSuccess) { printf("cudaMalloc(): %s/n", cudaGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = cudaMemcpy( sum_d, sum_h, sizeof(float), cudaMemcpyHostToDevice)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = cudaMemcpy( sum_h, sum_d, sizeof(float), cudaMemcpyDeviceToHost)) !=cudaSuccess) { printf("cudaMemcpy(): %s\n", cudaGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); cudaFree(sum_d); return 0; }	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable hipError_t errorcode = hipSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = hipMalloc((void *)&sum_d, sizeof(float)))!= hipSuccess) { printf("cudaMalloc(): %s/n", hipGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = hipMemcpy( sum_d, sum_h, sizeof(float), hipMemcpyHostToDevice)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = hipMemcpy( sum_h, sum_d, sizeof(float), hipMemcpyDeviceToHost)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); hipFree(sum_d); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable hipError_t errorcode = hipSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = hipMalloc((void *)&sum_d, sizeof(float)))!= hipSuccess) { printf("cudaMalloc(): %s/n", hipGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = hipMemcpy( sum_d, sum_h, sizeof(float), hipMemcpyHostToDevice)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = hipMemcpy( sum_h, sum_d, sizeof(float), hipMemcpyDeviceToHost)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); hipFree(sum_d); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16integratorKernelPfff .globl _Z16integratorKernelPfff .p2align 8 .type _Z16integratorKernelPfff,@function _Z16integratorKernelPfff: s_load_b32 s2, s[0:1], 0x1c s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_mov_b32 s2, exec_lo v_cmpx_gt_i32_e32 0x1000, v1 s_cbranch_execz .LBB0_6 s_load_b64 s[4:5], s[0:1], 0x8 v_cvt_f32_i32_e32 v0, v1 s_mov_b32 s2, exec_lo s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v0, v0, s5, s4 v_add_f32_e32 v4, s5, v0 v_mul_f32_e32 v2, v0, v0 v_cvt_f64_f32_e32 v[0:1], v0 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_mul_f32_e32 v6, v4, v4 v_cvt_f64_f32_e32 v[2:3], v2 v_cvt_f64_f32_e32 v[4:5], v4 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_cvt_f64_f32_e32 v[6:7], v6 v_fma_f64 v[0:1], v[0:1], 2.0, v[2:3] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_fma_f64 v[2:3], v[4:5], 2.0, v[6:7] v_add_f64 v[0:1], v[0:1], 0x40080000 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_f64 v[2:3], v[2:3], 0x40080000 v_cvt_f32_f64_e32 v0, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_cvt_f32_f64_e32 v1, v[2:3] v_bfrev_b32_e32 v2, 1 v_add_f32_e32 v0, v0, v1 .LBB0_2: s_ctz_i32_b32 s3, s2 s_delay_alu instid0(VALU_DEP_1) \| instid1(SALU_CYCLE_1) v_readlane_b32 s4, v0, s3 s_lshl_b32 s3, 1, s3 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_and_not1_b32 s2, s2, s3 s_cmp_lg_u32 s2, 0 s_delay_alu instid0(VALU_DEP_1) v_add_f32_e32 v2, s4, v2 s_cbranch_scc1 .LBB0_2 v_mbcnt_lo_u32_b32 v0, exec_lo, 0 s_mov_b32 s2, 0 s_mov_b32 s3, exec_lo s_delay_alu instid0(VALU_DEP_1) v_cmpx_eq_u32_e32 0, v0 s_xor_b32 s3, exec_lo, s3 s_cbranch_execz .LBB0_6 s_load_b64 s[0:1], s[0:1], 0x0 v_mov_b32_e32 v3, 0 s_waitcnt lgkmcnt(0) s_load_b32 s3, s[0:1], 0x0 s_waitcnt lgkmcnt(0) v_mov_b32_e32 v1, s3 .LBB0_5: s_delay_alu instid0(VALU_DEP_1) v_add_f32_e32 v0, v1, v2 global_atomic_cmpswap_b32 v0, v3, v[0:1], s[0:1] glc s_waitcnt vmcnt(0) v_cmp_eq_u32_e32 vcc_lo, v0, v1 v_mov_b32_e32 v1, v0 s_or_b32 s2, vcc_lo, s2 s_delay_alu instid0(SALU_CYCLE_1) s_and_not1_b32 exec_lo, exec_lo, s2 s_cbranch_execnz .LBB0_5 .LBB0_6: s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16integratorKernelPfff .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 8 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z16integratorKernelPfff, .Lfunc_end0-_Z16integratorKernelPfff .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: by_value - .offset: 12 .size: 4 .value_kind: by_value - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16integratorKernelPfff .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z16integratorKernelPfff.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 8 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #define N 4096 #define block_Size 256 /* function to integrate, defined as a function on the GPU device / __device__ float myfunction(float a) { return aa+2.0a + 3.0; } / kernel function to compute the summation used in the trapezoidal rule for numerical integration / __global__ void integratorKernel(float a, float start, float deltaX) { int id = blockIdx.x * blockDim.x + threadIdx.x; if (id<N) { float x = start + (float)id * deltaX; atomicAdd(a, myfunction(x)+myfunction(x+deltaX)); } } int main( int argc, char* argv[] ) { float end = 1.0, start = 0.0; // deltaX float deltaX = (end-start)/(float) N; // error code variable hipError_t errorcode = hipSuccess; // Allocate array on host and device float sum_h; sum_h = (float)malloc(sizeof(float)); sum_h = 0.0; float sum_d; if (( errorcode = hipMalloc((void *)&sum_d, sizeof(float)))!= hipSuccess) { printf("cudaMalloc(): %s/n", hipGetErrorString(errorcode)); exit(1); } // Copy values from host to device if((errorcode = hipMemcpy( sum_d, sum_h, sizeof(float), hipMemcpyHostToDevice)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } // Do the integration int grid_Size = N/block_Size + ( N % block_Size == 0 ? 0:1); integratorKernel <<< grid_Size, block_Size >>> (sum_d, start, deltaX); // Copy results from device to host if((errorcode = hipMemcpy( sum_h, sum_d, sizeof(float), hipMemcpyDeviceToHost)) !=hipSuccess) { printf("cudaMemcpy(): %s\n", hipGetErrorString(errorcode)); exit(1); } printf("The integral is: %f\n", (sum_h)*deltaX/2.0); // clean up free(sum_h); hipFree(sum_d); return 0; }	.text .file "trap2.hip" .globl _Z31__device_stub__integratorKernelPfff # -- Begin function _Z31__device_stub__integratorKernelPfff .p2align 4, 0x90 .type _Z31__device_stub__integratorKernelPfff,@function _Z31__device_stub__integratorKernelPfff: # @_Z31__device_stub__integratorKernelPfff .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movss %xmm0, 4(%rsp) movss %xmm1, (%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 4(%rsp), %rax movq %rax, 72(%rsp) movq %rsp, %rax movq %rax, 80(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z16integratorKernelPfff, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end0: .size _Z31__device_stub__integratorKernelPfff, .Lfunc_end0-_Z31__device_stub__integratorKernelPfff .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function main .LCPI1_0: .long 0x39800000 # float 2.44140625E-4 .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 .LCPI1_1: .quad 0x3fe0000000000000 # double 0.5 .text .globl main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $112, %rsp .cfi_def_cfa_offset 128 .cfi_offset %rbx, -16 movl $4, %edi callq malloc movq %rax, %rbx movl $0, (%rax) leaq 8(%rsp), %rdi movl $4, %esi callq hipMalloc testl %eax, %eax jne .LBB1_1 # %bb.3: movq 8(%rsp), %rdi movl $4, %edx movq %rbx, %rsi movl $1, %ecx callq hipMemcpy testl %eax, %eax jne .LBB1_4 # %bb.5: movabsq $4294967312, %rdi # imm = 0x100000010 leaq 240(%rdi), %rdx movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_7 # %bb.6: movq 8(%rsp), %rax movq %rax, 72(%rsp) movl $0, 20(%rsp) movl $964689920, 16(%rsp) # imm = 0x39800000 leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 20(%rsp), %rax movq %rax, 88(%rsp) leaq 16(%rsp), %rax movq %rax, 96(%rsp) leaq 56(%rsp), %rdi leaq 40(%rsp), %rsi leaq 32(%rsp), %rdx leaq 24(%rsp), %rcx callq __hipPopCallConfiguration movq 56(%rsp), %rsi movl 64(%rsp), %edx movq 40(%rsp), %rcx movl 48(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z16integratorKernelPfff, %edi pushq 24(%rsp) .cfi_adjust_cfa_offset 8 pushq 40(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_7: movq 8(%rsp), %rsi movl $4, %edx movq %rbx, %rdi movl $2, %ecx callq hipMemcpy testl %eax, %eax jne .LBB1_4 # %bb.8: movss (%rbx), %xmm0 # xmm0 = mem[0],zero,zero,zero mulss .LCPI1_0(%rip), %xmm0 cvtss2sd %xmm0, %xmm0 mulsd .LCPI1_1(%rip), %xmm0 movl $.L.str.2, %edi movb $1, %al callq printf movq %rbx, %rdi callq free movq 8(%rsp), %rdi callq hipFree xorl %eax, %eax addq $112, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .LBB1_4: .cfi_def_cfa_offset 128 movl %eax, %edi callq hipGetErrorString movl $.L.str.1, %edi jmp .LBB1_2 .LBB1_1: movl %eax, %edi callq hipGetErrorString movl $.L.str, %edi .LBB1_2: movq %rax, %rsi xorl %eax, %eax callq printf movl $1, %edi callq exit .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z16integratorKernelPfff, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z16integratorKernelPfff,@object # @_Z16integratorKernelPfff .section .rodata,"a",@progbits .globl _Z16integratorKernelPfff .p2align 3, 0x0 _Z16integratorKernelPfff: .quad _Z31__device_stub__integratorKernelPfff .size _Z16integratorKernelPfff, 8 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "cudaMalloc(): %s/n" .size .L.str, 19 .type .L.str.1,@object # @.str.1 .L.str.1: .asciz "cudaMemcpy(): %s\n" .size .L.str.1, 18 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "The integral is: %f\n" .size .L.str.2, 21 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z16integratorKernelPfff" .size .L__unnamed_1, 25 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z31__device_stub__integratorKernelPfff .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z16integratorKernelPfff .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z16integratorKernelPfff .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e280000002500 / /0020/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0030/ IMAD R0, R0, c[0x0][0x0], R3 ; / 0x0000000000007a24 / / 0x001fca00078e0203 / /0040/ ISETP.GT.AND P0, PT, R0, 0xfff, PT ; / 0x00000fff0000780c / / 0x000fda0003f04270 / /0050/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0060/ I2F R0, R0 ; / 0x0000000000007306 / / 0x000e220000201400 / /0070/ MOV R3, c[0x0][0x16c] ; / 0x00005b0000037a02 / / 0x000fe20000000f00 / /0080/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc80000000a00 / /0090/ FFMA R10, R0, R3, c[0x0][0x168] ; / 0x00005a00000a7623 / / 0x001fc80000000003 / /00a0/ FADD R12, R10.reuse, c[0x0][0x16c] ; / 0x00005b000a0c7621 / / 0x040fe20000000000 / /00b0/ F2F.F64.F32 R4, R10 ; / 0x0000000a00047310 / / 0x000fe20000201800 / /00c0/ FMUL R11, R10, R10 ; / 0x0000000a0a0b7220 / / 0x000fe40000400000 / /00d0/ FMUL R13, R12, R12 ; / 0x0000000c0c0d7220 / / 0x000fca0000400000 / /00e0/ F2F.F64.F32 R2, R11 ; / 0x0000000b00027310 / / 0x000e300000201800 / /00f0/ F2F.F64.F32 R8, R12 ; / 0x0000000c00087310 / / 0x000ff00000201800 / /0100/ F2F.F64.F32 R6, R13 ; / 0x0000000d00067310 / / 0x000e620000201800 / /0110/ DFMA R2, R4, 2, R2 ; / 0x400000000402782b / / 0x0010840000000002 / /0120/ MOV R4, c[0x0][0x160] ; / 0x0000580000047a02 / / 0x001fe40000000f00 / /0130/ MOV R5, c[0x0][0x164] ; / 0x0000590000057a02 / / 0x000fe40000000f00 / /0140/ DADD R2, R2, 3 ; / 0x4008000002027429 / / 0x004e080000000000 / /0150/ DFMA R6, R8, 2, R6 ; / 0x400000000806782b / / 0x002e4c0000000006 / /0160/ F2F.F32.F64 R2, R2 ; / 0x0000000200027310 / / 0x001fe20000301000 / /0170/ DADD R6, R6, 3 ; / 0x4008000006067429 / / 0x002e140000000000 / /0180/ F2F.F32.F64 R7, R6 ; / 0x0000000600077310 / / 0x001e240000301000 / /0190/ FADD R9, R2, R7 ; / 0x0000000702097221 / / 0x001fca0000000000 / /01a0/ RED.E.ADD.F32.FTZ.RN.STRONG.GPU [R4.64], R9 ; / 0x000000090400798e / / 0x000fe2000c10e784 / /01b0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /01c0/ BRA 0x1c0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0200/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0210/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0220/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0230/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0240/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0250/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0260/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0270/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16integratorKernelPfff .globl _Z16integratorKernelPfff .p2align 8 .type _Z16integratorKernelPfff,@function _Z16integratorKernelPfff: s_load_b32 s2, s[0:1], 0x1c s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_mov_b32 s2, exec_lo v_cmpx_gt_i32_e32 0x1000, v1 s_cbranch_execz .LBB0_6 s_load_b64 s[4:5], s[0:1], 0x8 v_cvt_f32_i32_e32 v0, v1 s_mov_b32 s2, exec_lo s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_fma_f32 v0, v0, s5, s4 v_add_f32_e32 v4, s5, v0 v_mul_f32_e32 v2, v0, v0 v_cvt_f64_f32_e32 v[0:1], v0 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_mul_f32_e32 v6, v4, v4 v_cvt_f64_f32_e32 v[2:3], v2 v_cvt_f64_f32_e32 v[4:5], v4 s_delay_alu instid0(VALU_DEP_3) \| instskip(NEXT) \| instid1(VALU_DEP_3) v_cvt_f64_f32_e32 v[6:7], v6 v_fma_f64 v[0:1], v[0:1], 2.0, v[2:3] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_fma_f64 v[2:3], v[4:5], 2.0, v[6:7] v_add_f64 v[0:1], v[0:1], 0x40080000 s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_f64 v[2:3], v[2:3], 0x40080000 v_cvt_f32_f64_e32 v0, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(VALU_DEP_2) v_cvt_f32_f64_e32 v1, v[2:3] v_bfrev_b32_e32 v2, 1 v_add_f32_e32 v0, v0, v1 .LBB0_2: s_ctz_i32_b32 s3, s2 s_delay_alu instid0(VALU_DEP_1) \| instid1(SALU_CYCLE_1) v_readlane_b32 s4, v0, s3 s_lshl_b32 s3, 1, s3 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_and_not1_b32 s2, s2, s3 s_cmp_lg_u32 s2, 0 s_delay_alu instid0(VALU_DEP_1) v_add_f32_e32 v2, s4, v2 s_cbranch_scc1 .LBB0_2 v_mbcnt_lo_u32_b32 v0, exec_lo, 0 s_mov_b32 s2, 0 s_mov_b32 s3, exec_lo s_delay_alu instid0(VALU_DEP_1) v_cmpx_eq_u32_e32 0, v0 s_xor_b32 s3, exec_lo, s3 s_cbranch_execz .LBB0_6 s_load_b64 s[0:1], s[0:1], 0x0 v_mov_b32_e32 v3, 0 s_waitcnt lgkmcnt(0) s_load_b32 s3, s[0:1], 0x0 s_waitcnt lgkmcnt(0) v_mov_b32_e32 v1, s3 .LBB0_5: s_delay_alu instid0(VALU_DEP_1) v_add_f32_e32 v0, v1, v2 global_atomic_cmpswap_b32 v0, v3, v[0:1], s[0:1] glc s_waitcnt vmcnt(0) v_cmp_eq_u32_e32 vcc_lo, v0, v1 v_mov_b32_e32 v1, v0 s_or_b32 s2, vcc_lo, s2 s_delay_alu instid0(SALU_CYCLE_1) s_and_not1_b32 exec_lo, exec_lo, s2 s_cbranch_execnz .LBB0_5 .LBB0_6: s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16integratorKernelPfff .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 272 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 8 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z16integratorKernelPfff, .Lfunc_end0-_Z16integratorKernelPfff .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: by_value - .offset: 12 .size: 4 .value_kind: by_value - .offset: 16 .size: 4 .value_kind: hidden_block_count_x - .offset: 20 .size: 4 .value_kind: hidden_block_count_y - .offset: 24 .size: 4 .value_kind: hidden_block_count_z - .offset: 28 .size: 2 .value_kind: hidden_group_size_x - .offset: 30 .size: 2 .value_kind: hidden_group_size_y - .offset: 32 .size: 2 .value_kind: hidden_group_size_z - .offset: 34 .size: 2 .value_kind: hidden_remainder_x - .offset: 36 .size: 2 .value_kind: hidden_remainder_y - .offset: 38 .size: 2 .value_kind: hidden_remainder_z - .offset: 56 .size: 8 .value_kind: hidden_global_offset_x - .offset: 64 .size: 8 .value_kind: hidden_global_offset_y - .offset: 72 .size: 8 .value_kind: hidden_global_offset_z - .offset: 80 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 272 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16integratorKernelPfff .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z16integratorKernelPfff.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 8 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0019a61d_00000000-6_trap2.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2061: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2061: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z10myfunctionf .type _Z10myfunctionf, @function _Z10myfunctionf: .LFB2057: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2057: .size _Z10myfunctionf, .-_Z10myfunctionf .globl _Z38__device_stub__Z16integratorKernelPfffPfff .type _Z38__device_stub__Z16integratorKernelPfffPfff, @function _Z38__device_stub__Z16integratorKernelPfffPfff: .LFB2083: .cfi_startproc endbr64 subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 8(%rsp) movss %xmm0, 4(%rsp) movss %xmm1, (%rsp) movq %fs:40, %rax movq %rax, 104(%rsp) xorl %eax, %eax leaq 8(%rsp), %rax movq %rax, 80(%rsp) leaq 4(%rsp), %rax movq %rax, 88(%rsp) movq %rsp, %rax movq %rax, 96(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) movl $1, 40(%rsp) movl $1, 44(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) leaq 24(%rsp), %rcx leaq 16(%rsp), %rdx leaq 44(%rsp), %rsi leaq 32(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L9 .L5: movq 104(%rsp), %rax subq %fs:40, %rax jne .L10 addq $120, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L9: .cfi_restore_state pushq 24(%rsp) .cfi_def_cfa_offset 136 pushq 24(%rsp) .cfi_def_cfa_offset 144 leaq 96(%rsp), %r9 movq 60(%rsp), %rcx movl 68(%rsp), %r8d movq 48(%rsp), %rsi movl 56(%rsp), %edx leaq _Z16integratorKernelPfff(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 128 jmp .L5 .L10: call __stack_chk_fail@PLT .cfi_endproc .LFE2083: .size _Z38__device_stub__Z16integratorKernelPfffPfff, .-_Z38__device_stub__Z16integratorKernelPfffPfff .globl _Z16integratorKernelPfff .type _Z16integratorKernelPfff, @function _Z16integratorKernelPfff: .LFB2084: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z38__device_stub__Z16integratorKernelPfffPfff addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2084: .size _Z16integratorKernelPfff, .-_Z16integratorKernelPfff .section .rodata.str1.1,"aMS",@progbits,1 .LC1: .string "cudaMalloc(): %s/n" .LC2: .string "cudaMemcpy(): %s\n" .LC5: .string "The integral is: %f\n" .text .globl main .type main, @function main: .LFB2058: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 subq $48, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl $4, %edi call malloc@PLT movq %rax, %rbx movl $0x00000000, (%rax) leaq 8(%rsp), %rdi movl $4, %esi call cudaMalloc@PLT testl %eax, %eax jne .L20 movl $1, %ecx movl $4, %edx movq %rbx, %rsi movq 8(%rsp), %rdi call cudaMemcpy@PLT testl %eax, %eax jne .L21 movl $256, 28(%rsp) movl $1, 32(%rsp) movl $16, 16(%rsp) movl $1, 20(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L22 .L16: movl $2, %ecx movl $4, %edx movq 8(%rsp), %rsi movq %rbx, %rdi call cudaMemcpy@PLT testl %eax, %eax jne .L23 movss .LC3(%rip), %xmm0 mulss (%rbx), %xmm0 cvtss2sd %xmm0, %xmm0 mulsd .LC4(%rip), %xmm0 leaq .LC5(%rip), %rsi movl $2, %edi movl $1, %eax call __printf_chk@PLT movq %rbx, %rdi call free@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L24 movl $0, %eax addq $48, %rsp .cfi_remember_state .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 ret .L20: .cfi_restore_state movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC1(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L21: movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L22: movss .LC3(%rip), %xmm1 pxor %xmm0, %xmm0 movq 8(%rsp), %rdi call _Z38__device_stub__Z16integratorKernelPfffPfff jmp .L16 .L23: movl %eax, %edi call cudaGetErrorString@PLT movq %rax, %rdx leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1, %edi call exit@PLT .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2058: .size main, .-main .section .rodata.str1.1 .LC6: .string "_Z16integratorKernelPfff" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2086: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC6(%rip), %rdx movq %rdx, %rcx leaq _Z16integratorKernelPfff(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2086: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .section .rodata.cst4,"aM",@progbits,4 .align 4 .LC3: .long 964689920 .section .rodata.cst8,"aM",@progbits,8 .align 8 .LC4: .long 0 .long 1071644672 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "trap2.hip" .globl _Z31__device_stub__integratorKernelPfff # -- Begin function _Z31__device_stub__integratorKernelPfff .p2align 4, 0x90 .type _Z31__device_stub__integratorKernelPfff,@function _Z31__device_stub__integratorKernelPfff: # @_Z31__device_stub__integratorKernelPfff .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) movss %xmm0, 4(%rsp) movss %xmm1, (%rsp) leaq 56(%rsp), %rax movq %rax, 64(%rsp) leaq 4(%rsp), %rax movq %rax, 72(%rsp) movq %rsp, %rax movq %rax, 80(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z16integratorKernelPfff, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $104, %rsp .cfi_adjust_cfa_offset -104 retq .Lfunc_end0: .size _Z31__device_stub__integratorKernelPfff, .Lfunc_end0-_Z31__device_stub__integratorKernelPfff .cfi_endproc # -- End function .section .rodata.cst4,"aM",@progbits,4 .p2align 2, 0x0 # -- Begin function main .LCPI1_0: .long 0x39800000 # float 2.44140625E-4 .section .rodata.cst8,"aM",@progbits,8 .p2align 3, 0x0 .LCPI1_1: .quad 0x3fe0000000000000 # double 0.5 .text .globl main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $112, %rsp .cfi_def_cfa_offset 128 .cfi_offset %rbx, -16 movl $4, %edi callq malloc movq %rax, %rbx movl $0, (%rax) leaq 8(%rsp), %rdi movl $4, %esi callq hipMalloc testl %eax, %eax jne .LBB1_1 # %bb.3: movq 8(%rsp), %rdi movl $4, %edx movq %rbx, %rsi movl $1, %ecx callq hipMemcpy testl %eax, %eax jne .LBB1_4 # %bb.5: movabsq $4294967312, %rdi # imm = 0x100000010 leaq 240(%rdi), %rdx movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_7 # %bb.6: movq 8(%rsp), %rax movq %rax, 72(%rsp) movl $0, 20(%rsp) movl $964689920, 16(%rsp) # imm = 0x39800000 leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 20(%rsp), %rax movq %rax, 88(%rsp) leaq 16(%rsp), %rax movq %rax, 96(%rsp) leaq 56(%rsp), %rdi leaq 40(%rsp), %rsi leaq 32(%rsp), %rdx leaq 24(%rsp), %rcx callq __hipPopCallConfiguration movq 56(%rsp), %rsi movl 64(%rsp), %edx movq 40(%rsp), %rcx movl 48(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z16integratorKernelPfff, %edi pushq 24(%rsp) .cfi_adjust_cfa_offset 8 pushq 40(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_7: movq 8(%rsp), %rsi movl $4, %edx movq %rbx, %rdi movl $2, %ecx callq hipMemcpy testl %eax, %eax jne .LBB1_4 # %bb.8: movss (%rbx), %xmm0 # xmm0 = mem[0],zero,zero,zero mulss .LCPI1_0(%rip), %xmm0 cvtss2sd %xmm0, %xmm0 mulsd .LCPI1_1(%rip), %xmm0 movl $.L.str.2, %edi movb $1, %al callq printf movq %rbx, %rdi callq free movq 8(%rsp), %rdi callq hipFree xorl %eax, %eax addq $112, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 retq .LBB1_4: .cfi_def_cfa_offset 128 movl %eax, %edi callq hipGetErrorString movl $.L.str.1, %edi jmp .LBB1_2 .LBB1_1: movl %eax, %edi callq hipGetErrorString movl $.L.str, %edi .LBB1_2: movq %rax, %rsi xorl %eax, %eax callq printf movl $1, %edi callq exit .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z16integratorKernelPfff, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type _Z16integratorKernelPfff,@object # @_Z16integratorKernelPfff .section .rodata,"a",@progbits .globl _Z16integratorKernelPfff .p2align 3, 0x0 _Z16integratorKernelPfff: .quad _Z31__device_stub__integratorKernelPfff .size _Z16integratorKernelPfff, 8 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "cudaMalloc(): %s/n" .size .L.str, 19 .type .L.str.1,@object # @.str.1 .L.str.1: .asciz "cudaMemcpy(): %s\n" .size .L.str.1, 18 .type .L.str.2,@object # @.str.2 .L.str.2: .asciz "The integral is: %f\n" .size .L.str.2, 21 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z16integratorKernelPfff" .size .L__unnamed_1, 25 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z31__device_stub__integratorKernelPfff .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z16integratorKernelPfff .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }	code for sm_80 Function : _Z13good_additionPiS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ IMAD.MOV.U32 R4, RZ, RZ, c[0x0][0x0] ; / 0x00000000ff047624 / / 0x000fe200078e00ff / /0020/ IABS R8, c[0x0][0x178] ; / 0x00005e0000087a13 / / 0x000fc60000000000 / /0030/ IMAD R4, R4, c[0x0][0xc], RZ ; / 0x0000030004047a24 / / 0x000fca00078e02ff / /0040/ IABS R5, R4.reuse ; / 0x0000000400057213 / / 0x080fe40000000000 / /0050/ IABS R9, R4 ; / 0x0000000400097213 / / 0x000fe40000000000 / /0060/ I2F.RP R0, R5 ; / 0x0000000500007306 / / 0x000e300000209400 / /0070/ MUFU.RCP R0, R0 ; / 0x0000000000007308 / / 0x001e240000001000 / /0080/ IADD3 R2, R0, 0xffffffe, RZ ; / 0x0ffffffe00027810 / / 0x001fe20007ffe0ff / /0090/ IMAD.MOV R0, RZ, RZ, -R9 ; / 0x000000ffff007224 / / 0x000fca00078e0a09 / /00a0/ F2I.FTZ.U32.TRUNC.NTZ R3, R2 ; / 0x0000000200037305 / / 0x000064000021f000 / /00b0/ IMAD.MOV.U32 R2, RZ, RZ, RZ ; / 0x000000ffff027224 / / 0x001fe400078e00ff / /00c0/ IMAD.MOV R6, RZ, RZ, -R3 ; / 0x000000ffff067224 / / 0x002fc800078e0a03 / /00d0/ IMAD R7, R6, R5, RZ ; / 0x0000000506077224 / / 0x000fe200078e02ff / /00e0/ MOV R6, R8 ; / 0x0000000800067202 / / 0x000fc60000000f00 / /00f0/ IMAD.HI.U32 R3, R3, R7, R2 ; / 0x0000000703037227 / / 0x000fe200078e0002 / /0100/ LOP3.LUT R2, R4, c[0x0][0x178], RZ, 0x3c, !PT ; / 0x00005e0004027a12 / / 0x000fc800078e3cff / /0110/ ISETP.GE.AND P2, PT, R2, RZ, PT ; / 0x000000ff0200720c / / 0x000fe20003f46270 / /0120/ IMAD.HI.U32 R3, R3, R6, RZ ; / 0x0000000603037227 / / 0x000fc800078e00ff / /0130/ IMAD R0, R3, R0, R6 ; / 0x0000000003007224 / / 0x000fca00078e0206 / /0140/ ISETP.GT.U32.AND P1, PT, R5, R0, PT ; / 0x000000000500720c / / 0x000fda0003f24070 / /0150/ @!P1 IMAD.IADD R0, R0, 0x1, -R5 ; / 0x0000000100009824 / / 0x000fe200078e0a05 / /0160/ @!P1 IADD3 R3, R3, 0x1, RZ ; / 0x0000000103039810 / / 0x000fe40007ffe0ff / /0170/ ISETP.NE.AND P1, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fe40003f25270 / /0180/ ISETP.GE.U32.AND P0, PT, R0, R5, PT ; / 0x000000050000720c / / 0x000fe40003f06070 / /0190/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e280000002500 / /01a0/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e2e0000002100 / /01b0/ @P0 IADD3 R3, R3, 0x1, RZ ; / 0x0000000103030810 / / 0x000fc80007ffe0ff / /01c0/ @!P2 IADD3 R3, -R3, RZ, RZ ; / 0x000000ff0303a210 / / 0x000fe40007ffe1ff / /01d0/ @!P1 LOP3.LUT R3, RZ, R4, RZ, 0x33, !PT ; / 0x00000004ff039212 / / 0x000fe200078e33ff / /01e0/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x001fe200078e0205 / /01f0/ IADD3 R5, R4, -0x1, RZ ; / 0xffffffff04057810 / / 0x000fc60007ffe0ff / /0200/ IMAD R9, R0.reuse, R3, RZ ; / 0x0000000300097224 / / 0x040fe200078e02ff / /0210/ ISETP.NE.AND P0, PT, R0, R5, PT ; / 0x000000050000720c / / 0x000fc60003f05270 / /0220/ IMAD.IADD R0, R3, 0x1, R9 ; / 0x0000000103007824 / / 0x000fca00078e0209 / /0230/ SEL R0, R0, c[0x0][0x178], P0 ; / 0x00005e0000007a07 / / 0x000fc80000000000 / /0240/ ISETP.GT.AND P0, PT, R0, R9, PT ; / 0x000000090000720c / / 0x000fda0003f04270 / /0250/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /0260/ IMAD.IADD R2, R0, 0x1, -R9 ; / 0x0000000100027824 / / 0x000fe200078e0a09 / /0270/ LOP3.LUT R3, RZ, R9, RZ, 0x33, !PT ; / 0x00000009ff037212 / / 0x000fe200078e33ff / /0280/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0290/ BSSY B0, 0x4c0 ; / 0x0000022000007945 / / 0x000fe40003800000 / /02a0/ LOP3.LUT P1, R8, R2, 0x3, RZ, 0xc0, !PT ; / 0x0000000302087812 / / 0x000fe2000782c0ff / /02b0/ IMAD.IADD R3, R0, 0x1, R3 ; / 0x0000000100037824 / / 0x000fca00078e0203 / /02c0/ ISETP.GE.U32.AND P0, PT, R3, 0x3, PT ; / 0x000000030300780c / / 0x000fce0003f06070 / /02d0/ @!P1 BRA 0x4b0 ; / 0x000001d000009947 / / 0x000fea0003800000 / /02e0/ HFMA2.MMA R6, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff067435 / / 0x000fd400000001ff / /02f0/ IMAD.WIDE R2, R9, R6, c[0x0][0x170] ; / 0x00005c0009027625 / / 0x000fc800078e0206 / /0300/ IMAD.WIDE R4, R9, R6, c[0x0][0x168] ; / 0x00005a0009047625 / / 0x000fc800078e0206 / /0310/ IMAD.WIDE R6, R9, R6, c[0x0][0x160] ; / 0x0000580009067625 / / 0x000fe200078e0206 / /0320/ MOV R13, R5 ; / 0x00000005000d7202 / / 0x000fc60000000f00 / /0330/ IMAD.MOV.U32 R12, RZ, RZ, R2 ; / 0x000000ffff0c7224 / / 0x000fe400078e0002 / /0340/ IMAD.MOV.U32 R15, RZ, RZ, R3 ; / 0x000000ffff0f7224 / / 0x000fe400078e0003 / /0350/ IMAD.MOV.U32 R10, RZ, RZ, R4 ; / 0x000000ffff0a7224 / / 0x000fe400078e0004 / /0360/ IMAD.MOV.U32 R11, RZ, RZ, R7 ; / 0x000000ffff0b7224 / / 0x000fe400078e0007 / /0370/ IMAD.MOV.U32 R2, RZ, RZ, R10 ; / 0x000000ffff027224 / / 0x001fe200078e000a / /0380/ MOV R4, R6 ; / 0x0000000600047202 / / 0x000fe20000000f00 / /0390/ IMAD.MOV.U32 R5, RZ, RZ, R11 ; / 0x000000ffff057224 / / 0x000fe400078e000b / /03a0/ IMAD.MOV.U32 R3, RZ, RZ, R13 ; / 0x000000ffff037224 / / 0x000fc800078e000d / /03b0/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /03c0/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x0000a2000c1e1900 / /03d0/ IADD3 R8, R8, -0x1, RZ ; / 0xffffffff08087810 / / 0x000fe40007ffe0ff / /03e0/ MOV R3, R15 ; / 0x0000000f00037202 / / 0x001fe40000000f00 / /03f0/ ISETP.NE.AND P1, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe40003f25270 / /0400/ IADD3 R10, P3, R10, 0x4, RZ ; / 0x000000040a0a7810 / / 0x000fc40007f7e0ff / /0410/ IADD3 R6, P4, R6, 0x4, RZ ; / 0x0000000406067810 / / 0x000fe40007f9e0ff / /0420/ IADD3 R9, R9, 0x1, RZ ; / 0x0000000109097810 / / 0x000fe20007ffe0ff / /0430/ IMAD.X R13, RZ, RZ, R13, P3 ; / 0x000000ffff0d7224 / / 0x000fe400018e060d / /0440/ IMAD.X R11, RZ, RZ, R11, P4 ; / 0x000000ffff0b7224 / / 0x000fe400020e060b / /0450/ IMAD.IADD R7, R2, 0x1, R5 ; / 0x0000000102077824 / / 0x004fe400078e0205 / /0460/ IMAD.MOV.U32 R2, RZ, RZ, R12 ; / 0x000000ffff027224 / / 0x000fca00078e000c / /0470/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x0001e2000c101904 / /0480/ IADD3 R12, P2, R12, 0x4, RZ ; / 0x000000040c0c7810 / / 0x000fca0007f5e0ff / /0490/ IMAD.X R15, RZ, RZ, R15, P2 ; / 0x000000ffff0f7224 / / 0x000fe200010e060f / /04a0/ @P1 BRA 0x370 ; / 0xfffffec000001947 / / 0x000fea000383ffff / /04b0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /04c0/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /04d0/ HFMA2.MMA R6, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff067435 / / 0x000fe200000001ff / /04e0/ IMAD.IADD R3, R0, 0x1, -R9 ; / 0x0000000100037824 / / 0x001fe200078e0a09 / /04f0/ BSSY B0, 0xac0 ; / 0x000005c000007945 / / 0x000fe80003800000 / /0500/ ISETP.GT.AND P1, PT, R3, 0xc, PT ; / 0x0000000c0300780c / / 0x000fc80003f24270 / /0510/ IMAD.WIDE R6, R9, R6, c[0x2][0x0] ; / 0x0080000009067625 / / 0x000fca00078e0206 / /0520/ IADD3 R2, P0, R6.reuse, c[0x0][0x160], RZ ; / 0x0000580006027a10 / / 0x040fe40007f1e0ff / /0530/ IADD3 R4, P2, R6.reuse, c[0x0][0x168], RZ ; / 0x00005a0006047a10 / / 0x040fe40007f5e0ff / /0540/ IADD3 R6, P3, R6, c[0x0][0x170], RZ ; / 0x00005c0006067a10 / / 0x000fe40007f7e0ff / /0550/ IADD3.X R3, R7.reuse, c[0x0][0x164], RZ, P0, !PT ; / 0x0000590007037a10 / / 0x040fe400007fe4ff / /0560/ IADD3.X R5, R7.reuse, c[0x0][0x16c], RZ, P2, !PT ; / 0x00005b0007057a10 / / 0x040fe400017fe4ff / /0570/ IADD3.X R7, R7, c[0x0][0x174], RZ, P3, !PT ; / 0x00005d0007077a10 / / 0x000fc40001ffe4ff / /0580/ PLOP3.LUT P0, PT, PT, PT, PT, 0x80, 0x0 ; / 0x000000000000781c / / 0x000fe20003f0f070 / /0590/ @!P1 BRA 0xab0 ; / 0x0000051000009947 / / 0x000fee0003800000 / /05a0/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe40003f0e170 / /05b0/ IADD3 R8, R0, -0xc, RZ ; / 0xfffffff400087810 / / 0x000fc60007ffe0ff / /05c0/ LDG.E R10, [R4.64+-0x8] ; / 0xfffff804040a7981 / / 0x000ea8000c1e1900 / /05d0/ LDG.E R11, [R2.64+-0x8] ; / 0xfffff804020b7981 / / 0x000ea4000c1e1900 / /05e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x004fca00078e020b / /05f0/ STG.E [R6.64+-0x8], R11 ; / 0xfffff80b06007986 / / 0x0001e8000c101904 / /0600/ LDG.E R10, [R4.64+-0x4] ; / 0xfffffc04040a7981 / / 0x000ea8000c1e1900 / /0610/ LDG.E R13, [R2.64+-0x4] ; / 0xfffffc04020d7981 / / 0x000ea4000c1e1900 / /0620/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x004fca00078e020d / /0630/ STG.E [R6.64+-0x4], R13 ; / 0xfffffc0d06007986 / / 0x0003e8000c101904 / /0640/ LDG.E R10, [R4.64] ; / 0x00000004040a7981 / / 0x000ea8000c1e1900 / /0650/ LDG.E R15, [R2.64] ; / 0x00000004020f7981 / / 0x000ea4000c1e1900 / /0660/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x004fca0007ffe0ff / /0670/ STG.E [R6.64], R15 ; / 0x0000000f06007986 / / 0x0005e8000c101904 / /0680/ LDG.E R10, [R4.64+0x4] ; / 0x00000404040a7981 / / 0x000ee8000c1e1900 / /0690/ LDG.E R17, [R2.64+0x4] ; / 0x0000040402117981 / / 0x000ee4000c1e1900 / /06a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x008fca00078e0211 / /06b0/ STG.E [R6.64+0x4], R17 ; / 0x0000041106007986 / / 0x0007e8000c101904 / /06c0/ LDG.E R10, [R4.64+0x8] ; / 0x00000804040a7981 / / 0x000f28000c1e1900 / /06d0/ LDG.E R11, [R2.64+0x8] ; / 0x00000804020b7981 / / 0x001f24000c1e1900 / /06e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /06f0/ STG.E [R6.64+0x8], R11 ; / 0x0000080b06007986 / / 0x0001e8000c101904 / /0700/ LDG.E R10, [R4.64+0xc] ; / 0x00000c04040a7981 / / 0x000f28000c1e1900 / /0710/ LDG.E R13, [R2.64+0xc] ; / 0x00000c04020d7981 / / 0x002f24000c1e1900 / /0720/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0730/ STG.E [R6.64+0xc], R13 ; / 0x00000c0d06007986 / / 0x0003e8000c101904 / /0740/ LDG.E R10, [R4.64+0x10] ; / 0x00001004040a7981 / / 0x000f28000c1e1900 / /0750/ LDG.E R15, [R2.64+0x10] ; / 0x00001004020f7981 / / 0x004f24000c1e1900 / /0760/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0770/ STG.E [R6.64+0x10], R15 ; / 0x0000100f06007986 / / 0x0005e8000c101904 / /0780/ LDG.E R10, [R4.64+0x14] ; / 0x00001404040a7981 / / 0x000f28000c1e1900 / /0790/ LDG.E R17, [R2.64+0x14] ; / 0x0000140402117981 / / 0x008f24000c1e1900 / /07a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fca00078e0211 / /07b0/ STG.E [R6.64+0x14], R17 ; / 0x0000141106007986 / / 0x0007e8000c101904 / /07c0/ LDG.E R10, [R4.64+0x18] ; / 0x00001804040a7981 / / 0x000f28000c1e1900 / /07d0/ LDG.E R11, [R2.64+0x18] ; / 0x00001804020b7981 / / 0x001f24000c1e1900 / /07e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /07f0/ STG.E [R6.64+0x18], R11 ; / 0x0000180b06007986 / / 0x0001e8000c101904 / /0800/ LDG.E R10, [R4.64+0x1c] ; / 0x00001c04040a7981 / / 0x000f28000c1e1900 / /0810/ LDG.E R13, [R2.64+0x1c] ; / 0x00001c04020d7981 / / 0x002f24000c1e1900 / /0820/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0830/ STG.E [R6.64+0x1c], R13 ; / 0x00001c0d06007986 / / 0x0003e8000c101904 / /0840/ LDG.E R10, [R4.64+0x20] ; / 0x00002004040a7981 / / 0x000f28000c1e1900 / /0850/ LDG.E R15, [R2.64+0x20] ; / 0x00002004020f7981 / / 0x004f24000c1e1900 / /0860/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0870/ STG.E [R6.64+0x20], R15 ; / 0x0000200f06007986 / / 0x0005e8000c101904 / /0880/ LDG.E R10, [R4.64+0x24] ; / 0x00002404040a7981 / / 0x000f28000c1e1900 / /0890/ LDG.E R17, [R2.64+0x24] ; / 0x0000240402117981 / / 0x008f24000c1e1900 / /08a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fca00078e0211 / /08b0/ STG.E [R6.64+0x24], R17 ; / 0x0000241106007986 / / 0x0007e8000c101904 / /08c0/ LDG.E R10, [R4.64+0x28] ; / 0x00002804040a7981 / / 0x000f28000c1e1900 / /08d0/ LDG.E R11, [R2.64+0x28] ; / 0x00002804020b7981 / / 0x001f24000c1e1900 / /08e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /08f0/ STG.E [R6.64+0x28], R11 ; / 0x0000280b06007986 / / 0x000fe8000c101904 / /0900/ LDG.E R10, [R4.64+0x2c] ; / 0x00002c04040a7981 / / 0x000f28000c1e1900 / /0910/ LDG.E R13, [R2.64+0x2c] ; / 0x00002c04020d7981 / / 0x002f24000c1e1900 / /0920/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0930/ STG.E [R6.64+0x2c], R13 ; / 0x00002c0d06007986 / / 0x0001e8000c101904 / /0940/ LDG.E R10, [R4.64+0x30] ; / 0x00003004040a7981 / / 0x000f28000c1e1900 / /0950/ LDG.E R15, [R2.64+0x30] ; / 0x00003004020f7981 / / 0x004f22000c1e1900 / /0960/ IADD3 R9, R9, 0x10, RZ ; / 0x0000001009097810 / / 0x000fe40007ffe0ff / /0970/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0980/ STG.E [R6.64+0x30], R15 ; / 0x0000300f06007986 / / 0x0003e8000c101904 / /0990/ LDG.E R10, [R4.64+0x34] ; / 0x00003404040a7981 / / 0x000528000c1e1900 / /09a0/ LDG.E R17, [R2.64+0x34] ; / 0x0000340402117981 / / 0x008722000c1e1900 / /09b0/ ISETP.GE.AND P1, PT, R9, R8, PT ; / 0x000000080900720c / / 0x000fe40003f26270 / /09c0/ IADD3 R12, P3, R4, 0x40, RZ ; / 0x00000040040c7810 / / 0x000fc40007f7e0ff / /09d0/ IADD3 R14, P2, R2, 0x40, RZ ; / 0x00000040020e7810 / / 0x000fc60007f5e0ff / /09e0/ IMAD.X R13, RZ, RZ, R5, P3 ; / 0x000000ffff0d7224 / / 0x001fe200018e0605 / /09f0/ IADD3.X R15, RZ, R3, RZ, P2, !PT ; / 0x00000003ff0f7210 / / 0x002fe200017fe4ff / /0a00/ IMAD.MOV.U32 R4, RZ, RZ, R12 ; / 0x000000ffff047224 / / 0x004fe400078e000c / /0a10/ IMAD.MOV.U32 R2, RZ, RZ, R14 ; / 0x000000ffff027224 / / 0x008fe200078e000e / /0a20/ MOV R5, R13 ; / 0x0000000d00057202 / / 0x000fe20000000f00 / /0a30/ IMAD.MOV.U32 R3, RZ, RZ, R15 ; / 0x000000ffff037224 / / 0x000fe400078e000f / /0a40/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fe200078e0211 / /0a50/ IADD3 R10, P4, R6, 0x40, RZ ; / 0x00000040060a7810 / / 0x000fc80007f9e0ff / /0a60/ STG.E [R6.64+0x34], R17 ; / 0x0000341106007986 / / 0x0001e2000c101904 / /0a70/ IMAD.X R11, RZ, RZ, R7, P4 ; / 0x000000ffff0b7224 / / 0x000fe200020e0607 / /0a80/ MOV R6, R10 ; / 0x0000000a00067202 / / 0x001fc60000000f00 / /0a90/ IMAD.MOV.U32 R7, RZ, RZ, R11 ; / 0x000000ffff077224 / / 0x000fe200078e000b / /0aa0/ @!P1 BRA 0x5c0 ; / 0xfffffb1000009947 / / 0x000fea000383ffff / /0ab0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0ac0/ IMAD.IADD R8, R0, 0x1, -R9 ; / 0x0000000100087824 / / 0x000fe200078e0a09 / /0ad0/ BSSY B0, 0xde0 ; / 0x0000030000007945 / / 0x000fe80003800000 / /0ae0/ ISETP.GT.AND P1, PT, R8, 0x4, PT ; / 0x000000040800780c / / 0x000fda0003f24270 / /0af0/ @!P1 BRA 0xdd0 ; / 0x000002d000009947 / / 0x000fea0003800000 / /0b00/ LDG.E R8, [R4.64+-0x8] ; / 0xfffff80404087981 / / 0x000ea8000c1e1900 / /0b10/ LDG.E R11, [R2.64+-0x8] ; / 0xfffff804020b7981 / / 0x000ea4000c1e1900 / /0b20/ IADD3 R11, R8, R11, RZ ; / 0x0000000b080b7210 / / 0x004fca0007ffe0ff / /0b30/ STG.E [R6.64+-0x8], R11 ; / 0xfffff80b06007986 / / 0x0001e8000c101904 / /0b40/ LDG.E R8, [R4.64+-0x4] ; / 0xfffffc0404087981 / / 0x000ea8000c1e1900 / /0b50/ LDG.E R13, [R2.64+-0x4] ; / 0xfffffc04020d7981 / / 0x000ea4000c1e1900 / /0b60/ IMAD.IADD R13, R8, 0x1, R13 ; / 0x00000001080d7824 / / 0x004fca00078e020d / /0b70/ STG.E [R6.64+-0x4], R13 ; / 0xfffffc0d06007986 / / 0x0003e8000c101904 / /0b80/ LDG.E R8, [R4.64] ; / 0x0000000404087981 / / 0x000ea8000c1e1900 / /0b90/ LDG.E R15, [R2.64] ; / 0x00000004020f7981 / / 0x000ea4000c1e1900 / /0ba0/ IMAD.IADD R15, R8, 0x1, R15 ; / 0x00000001080f7824 / / 0x004fca00078e020f / /0bb0/ STG.E [R6.64], R15 ; / 0x0000000f06007986 / / 0x0005e8000c101904 / /0bc0/ LDG.E R8, [R4.64+0x4] ; / 0x0000040404087981 / / 0x000ee8000c1e1900 / /0bd0/ LDG.E R17, [R2.64+0x4] ; / 0x0000040402117981 / / 0x000ee4000c1e1900 / /0be0/ IADD3 R17, R8, R17, RZ ; / 0x0000001108117210 / / 0x008fca0007ffe0ff / /0bf0/ STG.E [R6.64+0x4], R17 ; / 0x0000041106007986 / / 0x0007e8000c101904 / /0c00/ LDG.E R8, [R4.64+0x8] ; / 0x0000080404087981 / / 0x000f28000c1e1900 / /0c10/ LDG.E R11, [R2.64+0x8] ; / 0x00000804020b7981 / / 0x001f24000c1e1900 / /0c20/ IMAD.IADD R11, R8, 0x1, R11 ; / 0x00000001080b7824 / / 0x010fca00078e020b / /0c30/ STG.E [R6.64+0x8], R11 ; / 0x0000080b06007986 / / 0x000fe8000c101904 / /0c40/ LDG.E R8, [R4.64+0xc] ; / 0x00000c0404087981 / / 0x000f28000c1e1900 / /0c50/ LDG.E R13, [R2.64+0xc] ; / 0x00000c04020d7981 / / 0x002f24000c1e1900 / /0c60/ IMAD.IADD R13, R8, 0x1, R13 ; / 0x00000001080d7824 / / 0x010fca00078e020d / /0c70/ STG.E [R6.64+0xc], R13 ; / 0x00000c0d06007986 / / 0x0001e8000c101904 / /0c80/ LDG.E R8, [R4.64+0x10] ; / 0x0000100404087981 / / 0x000f28000c1e1900 / /0c90/ LDG.E R15, [R2.64+0x10] ; / 0x00001004020f7981 / / 0x004f24000c1e1900 / /0ca0/ IADD3 R15, R8, R15, RZ ; / 0x0000000f080f7210 / / 0x010fca0007ffe0ff / /0cb0/ STG.E [R6.64+0x10], R15 ; / 0x0000100f06007986 / / 0x000fe8000c101904 / /0cc0/ LDG.E R8, [R4.64+0x14] ; / 0x0000140404087981 / / 0x0002a8000c1e1900 / /0cd0/ LDG.E R17, [R2.64+0x14] ; / 0x0000140402117981 / / 0x0086a2000c1e1900 / /0ce0/ IADD3 R12, P1, R2, 0x20, RZ ; / 0x00000020020c7810 / / 0x000fe40007f3e0ff / /0cf0/ IADD3 R10, P2, R4, 0x20, RZ ; / 0x00000020040a7810 / / 0x000fc40007f5e0ff / /0d00/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe20003f0e170 / /0d10/ IMAD.X R13, RZ, RZ, R3, P1 ; / 0x000000ffff0d7224 / / 0x001fe200008e0603 / /0d20/ IADD3.X R5, RZ, R5, RZ, P2, !PT ; / 0x00000005ff057210 / / 0x002fe200017fe4ff / /0d30/ IMAD.MOV.U32 R4, RZ, RZ, R10 ; / 0x000000ffff047224 / / 0x000fe200078e000a / /0d40/ IADD3 R9, R9, 0x8, RZ ; / 0x0000000809097810 / / 0x000fe20007ffe0ff / /0d50/ IMAD.MOV.U32 R3, RZ, RZ, R13 ; / 0x000000ffff037224 / / 0x008fe200078e000d / /0d60/ MOV R2, R12 ; / 0x0000000c00027202 / / 0x000fe20000000f00 / /0d70/ IMAD.IADD R17, R8, 0x1, R17 ; / 0x0000000108117824 / / 0x004fe200078e0211 / /0d80/ IADD3 R8, P3, R6, 0x20, RZ ; / 0x0000002006087810 / / 0x000fc80007f7e0ff / /0d90/ STG.E [R6.64+0x14], R17 ; / 0x0000141106007986 / / 0x0001e2000c101904 / /0da0/ IMAD.X R11, RZ, RZ, R7, P3 ; / 0x000000ffff0b7224 / / 0x000fe400018e0607 / /0db0/ IMAD.MOV.U32 R6, RZ, RZ, R8 ; / 0x000000ffff067224 / / 0x001fc600078e0008 / /0dc0/ MOV R7, R11 ; / 0x0000000b00077202 / / 0x000fe40000000f00 / /0dd0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0de0/ ISETP.LT.OR P0, PT, R9, R0, P0 ; / 0x000000000900720c / / 0x000fda0000701670 / /0df0/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /0e00/ LDG.E R0, [R4.64+-0x8] ; / 0xfffff80404007981 / / 0x000ea8000c1e1900 / /0e10/ LDG.E R9, [R2.64+-0x8] ; / 0xfffff80402097981 / / 0x000ea4000c1e1900 / /0e20/ IMAD.IADD R9, R0, 0x1, R9 ; / 0x0000000100097824 / / 0x004fca00078e0209 / /0e30/ STG.E [R6.64+-0x8], R9 ; / 0xfffff80906007986 / / 0x000fe8000c101904 / /0e40/ LDG.E R0, [R4.64+-0x4] ; / 0xfffffc0404007981 / / 0x000ea8000c1e1900 / /0e50/ LDG.E R11, [R2.64+-0x4] ; / 0xfffffc04020b7981 / / 0x000ea4000c1e1900 / /0e60/ IMAD.IADD R11, R0, 0x1, R11 ; / 0x00000001000b7824 / / 0x004fca00078e020b / /0e70/ STG.E [R6.64+-0x4], R11 ; / 0xfffffc0b06007986 / / 0x000fe8000c101904 / /0e80/ LDG.E R0, [R4.64] ; / 0x0000000404007981 / / 0x000ea8000c1e1900 / /0e90/ LDG.E R13, [R2.64] ; / 0x00000004020d7981 / / 0x000ea4000c1e1900 / /0ea0/ IADD3 R13, R0, R13, RZ ; / 0x0000000d000d7210 / / 0x004fca0007ffe0ff / /0eb0/ STG.E [R6.64], R13 ; / 0x0000000d06007986 / / 0x000fe8000c101904 / /0ec0/ LDG.E R0, [R4.64+0x4] ; / 0x0000040404007981 / / 0x000ea8000c1e1900 / /0ed0/ LDG.E R15, [R2.64+0x4] ; / 0x00000404020f7981 / / 0x000ea4000c1e1900 / /0ee0/ IMAD.IADD R15, R0, 0x1, R15 ; / 0x00000001000f7824 / / 0x004fca00078e020f / /0ef0/ STG.E [R6.64+0x4], R15 ; / 0x0000040f06007986 / / 0x000fe2000c101904 / /0f00/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0f10/ BRA 0xf10; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0f20/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f30/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f40/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f50/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f60/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f70/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f80/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f90/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fa0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fb0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fc0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fd0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fe0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0ff0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }	.file "tmpxft_0006a0f4_00000000-6_good_addition.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i .type _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i, @function _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movl %ecx, 4(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z13good_additionPiS_S_i(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i, .-_Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i .globl _Z13good_additionPiS_S_i .type _Z13good_additionPiS_S_i, @function _Z13good_additionPiS_S_i: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z13good_additionPiS_S_i, .-_Z13good_additionPiS_S_i .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z13good_additionPiS_S_i" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z13good_additionPiS_S_i(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }	#include <hip/hip_runtime.h> #include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> #include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z13good_additionPiS_S_i .globl _Z13good_additionPiS_S_i .p2align 8 .type _Z13good_additionPiS_S_i,@function _Z13good_additionPiS_S_i: s_clause 0x2 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x20 s_load_b32 s6, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_ashr_i32 s9, s6, 31 s_mul_i32 s3, s3, s2 s_add_i32 s10, s6, s9 s_ashr_i32 s4, s3, 31 s_xor_b32 s10, s10, s9 s_add_i32 s5, s3, s4 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_3) \| instid1(VALU_DEP_1) s_xor_b32 s5, s5, s4 s_xor_b32 s4, s9, s4 v_cvt_f32_u32_e32 v1, s5 s_sub_i32 s8, 0, s5 v_rcp_iflag_f32_e32 v1, v1 s_waitcnt_depctr 0xfff v_mul_f32_e32 v1, 0x4f7ffffe, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cvt_u32_f32_e32 v1, v1 v_readfirstlane_b32 s7, v1 v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_mul_i32 s8, s8, s7 s_mul_hi_u32 s8, s7, s8 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_add_i32 s7, s7, s8 s_mul_hi_u32 s7, s10, s7 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) s_mul_i32 s8, s7, s5 s_add_i32 s9, s7, 1 s_sub_i32 s8, s10, s8 s_sub_i32 s10, s8, s5 s_cmp_ge_u32 s8, s5 s_cselect_b32 s2, s9, s7 s_cselect_b32 s7, s10, s8 s_add_i32 s8, s2, 1 s_cmp_ge_u32 s7, s5 s_cselect_b32 s2, s8, s2 s_add_i32 s3, s3, -1 s_xor_b32 s2, s2, s4 v_cmp_eq_u32_e32 vcc_lo, s3, v1 s_sub_i32 s2, s2, s4 s_mov_b32 s3, exec_lo v_mul_lo_u32 v0, v1, s2 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_add_nc_u32_e32 v2, s2, v0 s_mov_b32 s2, 0 v_cndmask_b32_e64 v7, v2, s6, vcc_lo s_delay_alu instid0(VALU_DEP_1) v_cmpx_lt_i32_e64 v0, v7 s_cbranch_execz .LBB0_3 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[0:1], s[0:1], 0x10 v_ashrrev_i32_e32 v1, 31, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[5:6], 2, v[0:1] s_waitcnt lgkmcnt(0) v_add_co_u32 v1, vcc_lo, s4, v5 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v2, vcc_lo, s5, v6, vcc_lo v_add_co_u32 v3, vcc_lo, s6, v5 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v6, vcc_lo v_add_co_u32 v5, vcc_lo, s0, v5 v_add_co_ci_u32_e32 v6, vcc_lo, s1, v6, vcc_lo .p2align 6 .LBB0_2: global_load_b32 v8, v[1:2], off global_load_b32 v9, v[3:4], off v_add_co_u32 v1, vcc_lo, v1, 4 v_add_nc_u32_e32 v0, 1, v0 v_add_co_ci_u32_e32 v2, vcc_lo, 0, v2, vcc_lo v_add_co_u32 v3, vcc_lo, v3, 4 v_add_co_ci_u32_e32 v4, vcc_lo, 0, v4, vcc_lo s_delay_alu instid0(VALU_DEP_4) v_cmp_ge_i32_e32 vcc_lo, v0, v7 s_or_b32 s2, vcc_lo, s2 s_waitcnt vmcnt(0) v_add_nc_u32_e32 v8, v9, v8 global_store_b32 v[5:6], v8, off v_add_co_u32 v5, s0, v5, 4 s_delay_alu instid0(VALU_DEP_1) v_add_co_ci_u32_e64 v6, s0, 0, v6, s0 s_and_not1_b32 exec_lo, exec_lo, s2 s_cbranch_execnz .LBB0_2 .LBB0_3: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z13good_additionPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 10 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z13good_additionPiS_S_i, .Lfunc_end0-_Z13good_additionPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z13good_additionPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z13good_additionPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 10 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include "includes.h" /* Vector addition with a single thread for each addition / / Vector addition with thread mapping and thread accessing its neighbor parallely / //slower than simpler / Matrix Matrix multiplication with a single thread for each row / / Matrix Matrix multiplication with a single thread for each result element / / Matrix Vector multiplication with a block with 4 threads per block, shared block mem and parallel reduce / __global__ void good_addition(int a, int b, int c, int len) { int tid= threadIdx.x + blockIdx.x * blockDim.x; const int thread_count= blockDim.xgridDim.x; int step = len/thread_count; int start_index = tidstep; int end_index= (tid+1)* step; if (tid==thread_count-1) end_index=len; //printf("Step is %d\n",step); while(start_index< end_index) { c[start_index]=a[start_index]+b[start_index]; //printf("I am block: %d with tid: %d Result %d \n",blockIdx.x,tid,c[tid]); start_index +=1; } }	.text .file "good_addition.hip" .globl _Z28__device_stub__good_additionPiS_S_i # -- Begin function _Z28__device_stub__good_additionPiS_S_i .p2align 4, 0x90 .type _Z28__device_stub__good_additionPiS_S_i,@function _Z28__device_stub__good_additionPiS_S_i: # @_Z28__device_stub__good_additionPiS_S_i .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movl %ecx, 4(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z13good_additionPiS_S_i, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size _Z28__device_stub__good_additionPiS_S_i, .Lfunc_end0-_Z28__device_stub__good_additionPiS_S_i .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z13good_additionPiS_S_i, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z13good_additionPiS_S_i,@object # @_Z13good_additionPiS_S_i .section .rodata,"a",@progbits .globl _Z13good_additionPiS_S_i .p2align 3, 0x0 _Z13good_additionPiS_S_i: .quad _Z28__device_stub__good_additionPiS_S_i .size _Z13good_additionPiS_S_i, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z13good_additionPiS_S_i" .size .L__unnamed_1, 25 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z28__device_stub__good_additionPiS_S_i .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z13good_additionPiS_S_i .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z13good_additionPiS_S_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ IMAD.MOV.U32 R4, RZ, RZ, c[0x0][0x0] ; / 0x00000000ff047624 / / 0x000fe200078e00ff / /0020/ IABS R8, c[0x0][0x178] ; / 0x00005e0000087a13 / / 0x000fc60000000000 / /0030/ IMAD R4, R4, c[0x0][0xc], RZ ; / 0x0000030004047a24 / / 0x000fca00078e02ff / /0040/ IABS R5, R4.reuse ; / 0x0000000400057213 / / 0x080fe40000000000 / /0050/ IABS R9, R4 ; / 0x0000000400097213 / / 0x000fe40000000000 / /0060/ I2F.RP R0, R5 ; / 0x0000000500007306 / / 0x000e300000209400 / /0070/ MUFU.RCP R0, R0 ; / 0x0000000000007308 / / 0x001e240000001000 / /0080/ IADD3 R2, R0, 0xffffffe, RZ ; / 0x0ffffffe00027810 / / 0x001fe20007ffe0ff / /0090/ IMAD.MOV R0, RZ, RZ, -R9 ; / 0x000000ffff007224 / / 0x000fca00078e0a09 / /00a0/ F2I.FTZ.U32.TRUNC.NTZ R3, R2 ; / 0x0000000200037305 / / 0x000064000021f000 / /00b0/ IMAD.MOV.U32 R2, RZ, RZ, RZ ; / 0x000000ffff027224 / / 0x001fe400078e00ff / /00c0/ IMAD.MOV R6, RZ, RZ, -R3 ; / 0x000000ffff067224 / / 0x002fc800078e0a03 / /00d0/ IMAD R7, R6, R5, RZ ; / 0x0000000506077224 / / 0x000fe200078e02ff / /00e0/ MOV R6, R8 ; / 0x0000000800067202 / / 0x000fc60000000f00 / /00f0/ IMAD.HI.U32 R3, R3, R7, R2 ; / 0x0000000703037227 / / 0x000fe200078e0002 / /0100/ LOP3.LUT R2, R4, c[0x0][0x178], RZ, 0x3c, !PT ; / 0x00005e0004027a12 / / 0x000fc800078e3cff / /0110/ ISETP.GE.AND P2, PT, R2, RZ, PT ; / 0x000000ff0200720c / / 0x000fe20003f46270 / /0120/ IMAD.HI.U32 R3, R3, R6, RZ ; / 0x0000000603037227 / / 0x000fc800078e00ff / /0130/ IMAD R0, R3, R0, R6 ; / 0x0000000003007224 / / 0x000fca00078e0206 / /0140/ ISETP.GT.U32.AND P1, PT, R5, R0, PT ; / 0x000000000500720c / / 0x000fda0003f24070 / /0150/ @!P1 IMAD.IADD R0, R0, 0x1, -R5 ; / 0x0000000100009824 / / 0x000fe200078e0a05 / /0160/ @!P1 IADD3 R3, R3, 0x1, RZ ; / 0x0000000103039810 / / 0x000fe40007ffe0ff / /0170/ ISETP.NE.AND P1, PT, R4, RZ, PT ; / 0x000000ff0400720c / / 0x000fe40003f25270 / /0180/ ISETP.GE.U32.AND P0, PT, R0, R5, PT ; / 0x000000050000720c / / 0x000fe40003f06070 / /0190/ S2R R0, SR_CTAID.X ; / 0x0000000000007919 / / 0x000e280000002500 / /01a0/ S2R R5, SR_TID.X ; / 0x0000000000057919 / / 0x000e2e0000002100 / /01b0/ @P0 IADD3 R3, R3, 0x1, RZ ; / 0x0000000103030810 / / 0x000fc80007ffe0ff / /01c0/ @!P2 IADD3 R3, -R3, RZ, RZ ; / 0x000000ff0303a210 / / 0x000fe40007ffe1ff / /01d0/ @!P1 LOP3.LUT R3, RZ, R4, RZ, 0x33, !PT ; / 0x00000004ff039212 / / 0x000fe200078e33ff / /01e0/ IMAD R0, R0, c[0x0][0x0], R5 ; / 0x0000000000007a24 / / 0x001fe200078e0205 / /01f0/ IADD3 R5, R4, -0x1, RZ ; / 0xffffffff04057810 / / 0x000fc60007ffe0ff / /0200/ IMAD R9, R0.reuse, R3, RZ ; / 0x0000000300097224 / / 0x040fe200078e02ff / /0210/ ISETP.NE.AND P0, PT, R0, R5, PT ; / 0x000000050000720c / / 0x000fc60003f05270 / /0220/ IMAD.IADD R0, R3, 0x1, R9 ; / 0x0000000103007824 / / 0x000fca00078e0209 / /0230/ SEL R0, R0, c[0x0][0x178], P0 ; / 0x00005e0000007a07 / / 0x000fc80000000000 / /0240/ ISETP.GT.AND P0, PT, R0, R9, PT ; / 0x000000090000720c / / 0x000fda0003f04270 / /0250/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /0260/ IMAD.IADD R2, R0, 0x1, -R9 ; / 0x0000000100027824 / / 0x000fe200078e0a09 / /0270/ LOP3.LUT R3, RZ, R9, RZ, 0x33, !PT ; / 0x00000009ff037212 / / 0x000fe200078e33ff / /0280/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0290/ BSSY B0, 0x4c0 ; / 0x0000022000007945 / / 0x000fe40003800000 / /02a0/ LOP3.LUT P1, R8, R2, 0x3, RZ, 0xc0, !PT ; / 0x0000000302087812 / / 0x000fe2000782c0ff / /02b0/ IMAD.IADD R3, R0, 0x1, R3 ; / 0x0000000100037824 / / 0x000fca00078e0203 / /02c0/ ISETP.GE.U32.AND P0, PT, R3, 0x3, PT ; / 0x000000030300780c / / 0x000fce0003f06070 / /02d0/ @!P1 BRA 0x4b0 ; / 0x000001d000009947 / / 0x000fea0003800000 / /02e0/ HFMA2.MMA R6, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff067435 / / 0x000fd400000001ff / /02f0/ IMAD.WIDE R2, R9, R6, c[0x0][0x170] ; / 0x00005c0009027625 / / 0x000fc800078e0206 / /0300/ IMAD.WIDE R4, R9, R6, c[0x0][0x168] ; / 0x00005a0009047625 / / 0x000fc800078e0206 / /0310/ IMAD.WIDE R6, R9, R6, c[0x0][0x160] ; / 0x0000580009067625 / / 0x000fe200078e0206 / /0320/ MOV R13, R5 ; / 0x00000005000d7202 / / 0x000fc60000000f00 / /0330/ IMAD.MOV.U32 R12, RZ, RZ, R2 ; / 0x000000ffff0c7224 / / 0x000fe400078e0002 / /0340/ IMAD.MOV.U32 R15, RZ, RZ, R3 ; / 0x000000ffff0f7224 / / 0x000fe400078e0003 / /0350/ IMAD.MOV.U32 R10, RZ, RZ, R4 ; / 0x000000ffff0a7224 / / 0x000fe400078e0004 / /0360/ IMAD.MOV.U32 R11, RZ, RZ, R7 ; / 0x000000ffff0b7224 / / 0x000fe400078e0007 / /0370/ IMAD.MOV.U32 R2, RZ, RZ, R10 ; / 0x000000ffff027224 / / 0x001fe200078e000a / /0380/ MOV R4, R6 ; / 0x0000000600047202 / / 0x000fe20000000f00 / /0390/ IMAD.MOV.U32 R5, RZ, RZ, R11 ; / 0x000000ffff057224 / / 0x000fe400078e000b / /03a0/ IMAD.MOV.U32 R3, RZ, RZ, R13 ; / 0x000000ffff037224 / / 0x000fc800078e000d / /03b0/ LDG.E R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e1900 / /03c0/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x0000a2000c1e1900 / /03d0/ IADD3 R8, R8, -0x1, RZ ; / 0xffffffff08087810 / / 0x000fe40007ffe0ff / /03e0/ MOV R3, R15 ; / 0x0000000f00037202 / / 0x001fe40000000f00 / /03f0/ ISETP.NE.AND P1, PT, R8, RZ, PT ; / 0x000000ff0800720c / / 0x000fe40003f25270 / /0400/ IADD3 R10, P3, R10, 0x4, RZ ; / 0x000000040a0a7810 / / 0x000fc40007f7e0ff / /0410/ IADD3 R6, P4, R6, 0x4, RZ ; / 0x0000000406067810 / / 0x000fe40007f9e0ff / /0420/ IADD3 R9, R9, 0x1, RZ ; / 0x0000000109097810 / / 0x000fe20007ffe0ff / /0430/ IMAD.X R13, RZ, RZ, R13, P3 ; / 0x000000ffff0d7224 / / 0x000fe400018e060d / /0440/ IMAD.X R11, RZ, RZ, R11, P4 ; / 0x000000ffff0b7224 / / 0x000fe400020e060b / /0450/ IMAD.IADD R7, R2, 0x1, R5 ; / 0x0000000102077824 / / 0x004fe400078e0205 / /0460/ IMAD.MOV.U32 R2, RZ, RZ, R12 ; / 0x000000ffff027224 / / 0x000fca00078e000c / /0470/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x0001e2000c101904 / /0480/ IADD3 R12, P2, R12, 0x4, RZ ; / 0x000000040c0c7810 / / 0x000fca0007f5e0ff / /0490/ IMAD.X R15, RZ, RZ, R15, P2 ; / 0x000000ffff0f7224 / / 0x000fe200010e060f / /04a0/ @P1 BRA 0x370 ; / 0xfffffec000001947 / / 0x000fea000383ffff / /04b0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /04c0/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /04d0/ HFMA2.MMA R6, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff067435 / / 0x000fe200000001ff / /04e0/ IMAD.IADD R3, R0, 0x1, -R9 ; / 0x0000000100037824 / / 0x001fe200078e0a09 / /04f0/ BSSY B0, 0xac0 ; / 0x000005c000007945 / / 0x000fe80003800000 / /0500/ ISETP.GT.AND P1, PT, R3, 0xc, PT ; / 0x0000000c0300780c / / 0x000fc80003f24270 / /0510/ IMAD.WIDE R6, R9, R6, c[0x2][0x0] ; / 0x0080000009067625 / / 0x000fca00078e0206 / /0520/ IADD3 R2, P0, R6.reuse, c[0x0][0x160], RZ ; / 0x0000580006027a10 / / 0x040fe40007f1e0ff / /0530/ IADD3 R4, P2, R6.reuse, c[0x0][0x168], RZ ; / 0x00005a0006047a10 / / 0x040fe40007f5e0ff / /0540/ IADD3 R6, P3, R6, c[0x0][0x170], RZ ; / 0x00005c0006067a10 / / 0x000fe40007f7e0ff / /0550/ IADD3.X R3, R7.reuse, c[0x0][0x164], RZ, P0, !PT ; / 0x0000590007037a10 / / 0x040fe400007fe4ff / /0560/ IADD3.X R5, R7.reuse, c[0x0][0x16c], RZ, P2, !PT ; / 0x00005b0007057a10 / / 0x040fe400017fe4ff / /0570/ IADD3.X R7, R7, c[0x0][0x174], RZ, P3, !PT ; / 0x00005d0007077a10 / / 0x000fc40001ffe4ff / /0580/ PLOP3.LUT P0, PT, PT, PT, PT, 0x80, 0x0 ; / 0x000000000000781c / / 0x000fe20003f0f070 / /0590/ @!P1 BRA 0xab0 ; / 0x0000051000009947 / / 0x000fee0003800000 / /05a0/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe40003f0e170 / /05b0/ IADD3 R8, R0, -0xc, RZ ; / 0xfffffff400087810 / / 0x000fc60007ffe0ff / /05c0/ LDG.E R10, [R4.64+-0x8] ; / 0xfffff804040a7981 / / 0x000ea8000c1e1900 / /05d0/ LDG.E R11, [R2.64+-0x8] ; / 0xfffff804020b7981 / / 0x000ea4000c1e1900 / /05e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x004fca00078e020b / /05f0/ STG.E [R6.64+-0x8], R11 ; / 0xfffff80b06007986 / / 0x0001e8000c101904 / /0600/ LDG.E R10, [R4.64+-0x4] ; / 0xfffffc04040a7981 / / 0x000ea8000c1e1900 / /0610/ LDG.E R13, [R2.64+-0x4] ; / 0xfffffc04020d7981 / / 0x000ea4000c1e1900 / /0620/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x004fca00078e020d / /0630/ STG.E [R6.64+-0x4], R13 ; / 0xfffffc0d06007986 / / 0x0003e8000c101904 / /0640/ LDG.E R10, [R4.64] ; / 0x00000004040a7981 / / 0x000ea8000c1e1900 / /0650/ LDG.E R15, [R2.64] ; / 0x00000004020f7981 / / 0x000ea4000c1e1900 / /0660/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x004fca0007ffe0ff / /0670/ STG.E [R6.64], R15 ; / 0x0000000f06007986 / / 0x0005e8000c101904 / /0680/ LDG.E R10, [R4.64+0x4] ; / 0x00000404040a7981 / / 0x000ee8000c1e1900 / /0690/ LDG.E R17, [R2.64+0x4] ; / 0x0000040402117981 / / 0x000ee4000c1e1900 / /06a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x008fca00078e0211 / /06b0/ STG.E [R6.64+0x4], R17 ; / 0x0000041106007986 / / 0x0007e8000c101904 / /06c0/ LDG.E R10, [R4.64+0x8] ; / 0x00000804040a7981 / / 0x000f28000c1e1900 / /06d0/ LDG.E R11, [R2.64+0x8] ; / 0x00000804020b7981 / / 0x001f24000c1e1900 / /06e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /06f0/ STG.E [R6.64+0x8], R11 ; / 0x0000080b06007986 / / 0x0001e8000c101904 / /0700/ LDG.E R10, [R4.64+0xc] ; / 0x00000c04040a7981 / / 0x000f28000c1e1900 / /0710/ LDG.E R13, [R2.64+0xc] ; / 0x00000c04020d7981 / / 0x002f24000c1e1900 / /0720/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0730/ STG.E [R6.64+0xc], R13 ; / 0x00000c0d06007986 / / 0x0003e8000c101904 / /0740/ LDG.E R10, [R4.64+0x10] ; / 0x00001004040a7981 / / 0x000f28000c1e1900 / /0750/ LDG.E R15, [R2.64+0x10] ; / 0x00001004020f7981 / / 0x004f24000c1e1900 / /0760/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0770/ STG.E [R6.64+0x10], R15 ; / 0x0000100f06007986 / / 0x0005e8000c101904 / /0780/ LDG.E R10, [R4.64+0x14] ; / 0x00001404040a7981 / / 0x000f28000c1e1900 / /0790/ LDG.E R17, [R2.64+0x14] ; / 0x0000140402117981 / / 0x008f24000c1e1900 / /07a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fca00078e0211 / /07b0/ STG.E [R6.64+0x14], R17 ; / 0x0000141106007986 / / 0x0007e8000c101904 / /07c0/ LDG.E R10, [R4.64+0x18] ; / 0x00001804040a7981 / / 0x000f28000c1e1900 / /07d0/ LDG.E R11, [R2.64+0x18] ; / 0x00001804020b7981 / / 0x001f24000c1e1900 / /07e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /07f0/ STG.E [R6.64+0x18], R11 ; / 0x0000180b06007986 / / 0x0001e8000c101904 / /0800/ LDG.E R10, [R4.64+0x1c] ; / 0x00001c04040a7981 / / 0x000f28000c1e1900 / /0810/ LDG.E R13, [R2.64+0x1c] ; / 0x00001c04020d7981 / / 0x002f24000c1e1900 / /0820/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0830/ STG.E [R6.64+0x1c], R13 ; / 0x00001c0d06007986 / / 0x0003e8000c101904 / /0840/ LDG.E R10, [R4.64+0x20] ; / 0x00002004040a7981 / / 0x000f28000c1e1900 / /0850/ LDG.E R15, [R2.64+0x20] ; / 0x00002004020f7981 / / 0x004f24000c1e1900 / /0860/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0870/ STG.E [R6.64+0x20], R15 ; / 0x0000200f06007986 / / 0x0005e8000c101904 / /0880/ LDG.E R10, [R4.64+0x24] ; / 0x00002404040a7981 / / 0x000f28000c1e1900 / /0890/ LDG.E R17, [R2.64+0x24] ; / 0x0000240402117981 / / 0x008f24000c1e1900 / /08a0/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fca00078e0211 / /08b0/ STG.E [R6.64+0x24], R17 ; / 0x0000241106007986 / / 0x0007e8000c101904 / /08c0/ LDG.E R10, [R4.64+0x28] ; / 0x00002804040a7981 / / 0x000f28000c1e1900 / /08d0/ LDG.E R11, [R2.64+0x28] ; / 0x00002804020b7981 / / 0x001f24000c1e1900 / /08e0/ IMAD.IADD R11, R10, 0x1, R11 ; / 0x000000010a0b7824 / / 0x010fca00078e020b / /08f0/ STG.E [R6.64+0x28], R11 ; / 0x0000280b06007986 / / 0x000fe8000c101904 / /0900/ LDG.E R10, [R4.64+0x2c] ; / 0x00002c04040a7981 / / 0x000f28000c1e1900 / /0910/ LDG.E R13, [R2.64+0x2c] ; / 0x00002c04020d7981 / / 0x002f24000c1e1900 / /0920/ IMAD.IADD R13, R10, 0x1, R13 ; / 0x000000010a0d7824 / / 0x010fca00078e020d / /0930/ STG.E [R6.64+0x2c], R13 ; / 0x00002c0d06007986 / / 0x0001e8000c101904 / /0940/ LDG.E R10, [R4.64+0x30] ; / 0x00003004040a7981 / / 0x000f28000c1e1900 / /0950/ LDG.E R15, [R2.64+0x30] ; / 0x00003004020f7981 / / 0x004f22000c1e1900 / /0960/ IADD3 R9, R9, 0x10, RZ ; / 0x0000001009097810 / / 0x000fe40007ffe0ff / /0970/ IADD3 R15, R10, R15, RZ ; / 0x0000000f0a0f7210 / / 0x010fca0007ffe0ff / /0980/ STG.E [R6.64+0x30], R15 ; / 0x0000300f06007986 / / 0x0003e8000c101904 / /0990/ LDG.E R10, [R4.64+0x34] ; / 0x00003404040a7981 / / 0x000528000c1e1900 / /09a0/ LDG.E R17, [R2.64+0x34] ; / 0x0000340402117981 / / 0x008722000c1e1900 / /09b0/ ISETP.GE.AND P1, PT, R9, R8, PT ; / 0x000000080900720c / / 0x000fe40003f26270 / /09c0/ IADD3 R12, P3, R4, 0x40, RZ ; / 0x00000040040c7810 / / 0x000fc40007f7e0ff / /09d0/ IADD3 R14, P2, R2, 0x40, RZ ; / 0x00000040020e7810 / / 0x000fc60007f5e0ff / /09e0/ IMAD.X R13, RZ, RZ, R5, P3 ; / 0x000000ffff0d7224 / / 0x001fe200018e0605 / /09f0/ IADD3.X R15, RZ, R3, RZ, P2, !PT ; / 0x00000003ff0f7210 / / 0x002fe200017fe4ff / /0a00/ IMAD.MOV.U32 R4, RZ, RZ, R12 ; / 0x000000ffff047224 / / 0x004fe400078e000c / /0a10/ IMAD.MOV.U32 R2, RZ, RZ, R14 ; / 0x000000ffff027224 / / 0x008fe200078e000e / /0a20/ MOV R5, R13 ; / 0x0000000d00057202 / / 0x000fe20000000f00 / /0a30/ IMAD.MOV.U32 R3, RZ, RZ, R15 ; / 0x000000ffff037224 / / 0x000fe400078e000f / /0a40/ IMAD.IADD R17, R10, 0x1, R17 ; / 0x000000010a117824 / / 0x010fe200078e0211 / /0a50/ IADD3 R10, P4, R6, 0x40, RZ ; / 0x00000040060a7810 / / 0x000fc80007f9e0ff / /0a60/ STG.E [R6.64+0x34], R17 ; / 0x0000341106007986 / / 0x0001e2000c101904 / /0a70/ IMAD.X R11, RZ, RZ, R7, P4 ; / 0x000000ffff0b7224 / / 0x000fe200020e0607 / /0a80/ MOV R6, R10 ; / 0x0000000a00067202 / / 0x001fc60000000f00 / /0a90/ IMAD.MOV.U32 R7, RZ, RZ, R11 ; / 0x000000ffff077224 / / 0x000fe200078e000b / /0aa0/ @!P1 BRA 0x5c0 ; / 0xfffffb1000009947 / / 0x000fea000383ffff / /0ab0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0ac0/ IMAD.IADD R8, R0, 0x1, -R9 ; / 0x0000000100087824 / / 0x000fe200078e0a09 / /0ad0/ BSSY B0, 0xde0 ; / 0x0000030000007945 / / 0x000fe80003800000 / /0ae0/ ISETP.GT.AND P1, PT, R8, 0x4, PT ; / 0x000000040800780c / / 0x000fda0003f24270 / /0af0/ @!P1 BRA 0xdd0 ; / 0x000002d000009947 / / 0x000fea0003800000 / /0b00/ LDG.E R8, [R4.64+-0x8] ; / 0xfffff80404087981 / / 0x000ea8000c1e1900 / /0b10/ LDG.E R11, [R2.64+-0x8] ; / 0xfffff804020b7981 / / 0x000ea4000c1e1900 / /0b20/ IADD3 R11, R8, R11, RZ ; / 0x0000000b080b7210 / / 0x004fca0007ffe0ff / /0b30/ STG.E [R6.64+-0x8], R11 ; / 0xfffff80b06007986 / / 0x0001e8000c101904 / /0b40/ LDG.E R8, [R4.64+-0x4] ; / 0xfffffc0404087981 / / 0x000ea8000c1e1900 / /0b50/ LDG.E R13, [R2.64+-0x4] ; / 0xfffffc04020d7981 / / 0x000ea4000c1e1900 / /0b60/ IMAD.IADD R13, R8, 0x1, R13 ; / 0x00000001080d7824 / / 0x004fca00078e020d / /0b70/ STG.E [R6.64+-0x4], R13 ; / 0xfffffc0d06007986 / / 0x0003e8000c101904 / /0b80/ LDG.E R8, [R4.64] ; / 0x0000000404087981 / / 0x000ea8000c1e1900 / /0b90/ LDG.E R15, [R2.64] ; / 0x00000004020f7981 / / 0x000ea4000c1e1900 / /0ba0/ IMAD.IADD R15, R8, 0x1, R15 ; / 0x00000001080f7824 / / 0x004fca00078e020f / /0bb0/ STG.E [R6.64], R15 ; / 0x0000000f06007986 / / 0x0005e8000c101904 / /0bc0/ LDG.E R8, [R4.64+0x4] ; / 0x0000040404087981 / / 0x000ee8000c1e1900 / /0bd0/ LDG.E R17, [R2.64+0x4] ; / 0x0000040402117981 / / 0x000ee4000c1e1900 / /0be0/ IADD3 R17, R8, R17, RZ ; / 0x0000001108117210 / / 0x008fca0007ffe0ff / /0bf0/ STG.E [R6.64+0x4], R17 ; / 0x0000041106007986 / / 0x0007e8000c101904 / /0c00/ LDG.E R8, [R4.64+0x8] ; / 0x0000080404087981 / / 0x000f28000c1e1900 / /0c10/ LDG.E R11, [R2.64+0x8] ; / 0x00000804020b7981 / / 0x001f24000c1e1900 / /0c20/ IMAD.IADD R11, R8, 0x1, R11 ; / 0x00000001080b7824 / / 0x010fca00078e020b / /0c30/ STG.E [R6.64+0x8], R11 ; / 0x0000080b06007986 / / 0x000fe8000c101904 / /0c40/ LDG.E R8, [R4.64+0xc] ; / 0x00000c0404087981 / / 0x000f28000c1e1900 / /0c50/ LDG.E R13, [R2.64+0xc] ; / 0x00000c04020d7981 / / 0x002f24000c1e1900 / /0c60/ IMAD.IADD R13, R8, 0x1, R13 ; / 0x00000001080d7824 / / 0x010fca00078e020d / /0c70/ STG.E [R6.64+0xc], R13 ; / 0x00000c0d06007986 / / 0x0001e8000c101904 / /0c80/ LDG.E R8, [R4.64+0x10] ; / 0x0000100404087981 / / 0x000f28000c1e1900 / /0c90/ LDG.E R15, [R2.64+0x10] ; / 0x00001004020f7981 / / 0x004f24000c1e1900 / /0ca0/ IADD3 R15, R8, R15, RZ ; / 0x0000000f080f7210 / / 0x010fca0007ffe0ff / /0cb0/ STG.E [R6.64+0x10], R15 ; / 0x0000100f06007986 / / 0x000fe8000c101904 / /0cc0/ LDG.E R8, [R4.64+0x14] ; / 0x0000140404087981 / / 0x0002a8000c1e1900 / /0cd0/ LDG.E R17, [R2.64+0x14] ; / 0x0000140402117981 / / 0x0086a2000c1e1900 / /0ce0/ IADD3 R12, P1, R2, 0x20, RZ ; / 0x00000020020c7810 / / 0x000fe40007f3e0ff / /0cf0/ IADD3 R10, P2, R4, 0x20, RZ ; / 0x00000020040a7810 / / 0x000fc40007f5e0ff / /0d00/ PLOP3.LUT P0, PT, PT, PT, PT, 0x8, 0x0 ; / 0x000000000000781c / / 0x000fe20003f0e170 / /0d10/ IMAD.X R13, RZ, RZ, R3, P1 ; / 0x000000ffff0d7224 / / 0x001fe200008e0603 / /0d20/ IADD3.X R5, RZ, R5, RZ, P2, !PT ; / 0x00000005ff057210 / / 0x002fe200017fe4ff / /0d30/ IMAD.MOV.U32 R4, RZ, RZ, R10 ; / 0x000000ffff047224 / / 0x000fe200078e000a / /0d40/ IADD3 R9, R9, 0x8, RZ ; / 0x0000000809097810 / / 0x000fe20007ffe0ff / /0d50/ IMAD.MOV.U32 R3, RZ, RZ, R13 ; / 0x000000ffff037224 / / 0x008fe200078e000d / /0d60/ MOV R2, R12 ; / 0x0000000c00027202 / / 0x000fe20000000f00 / /0d70/ IMAD.IADD R17, R8, 0x1, R17 ; / 0x0000000108117824 / / 0x004fe200078e0211 / /0d80/ IADD3 R8, P3, R6, 0x20, RZ ; / 0x0000002006087810 / / 0x000fc80007f7e0ff / /0d90/ STG.E [R6.64+0x14], R17 ; / 0x0000141106007986 / / 0x0001e2000c101904 / /0da0/ IMAD.X R11, RZ, RZ, R7, P3 ; / 0x000000ffff0b7224 / / 0x000fe400018e0607 / /0db0/ IMAD.MOV.U32 R6, RZ, RZ, R8 ; / 0x000000ffff067224 / / 0x001fc600078e0008 / /0dc0/ MOV R7, R11 ; / 0x0000000b00077202 / / 0x000fe40000000f00 / /0dd0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0de0/ ISETP.LT.OR P0, PT, R9, R0, P0 ; / 0x000000000900720c / / 0x000fda0000701670 / /0df0/ @!P0 EXIT ; / 0x000000000000894d / / 0x000fea0003800000 / /0e00/ LDG.E R0, [R4.64+-0x8] ; / 0xfffff80404007981 / / 0x000ea8000c1e1900 / /0e10/ LDG.E R9, [R2.64+-0x8] ; / 0xfffff80402097981 / / 0x000ea4000c1e1900 / /0e20/ IMAD.IADD R9, R0, 0x1, R9 ; / 0x0000000100097824 / / 0x004fca00078e0209 / /0e30/ STG.E [R6.64+-0x8], R9 ; / 0xfffff80906007986 / / 0x000fe8000c101904 / /0e40/ LDG.E R0, [R4.64+-0x4] ; / 0xfffffc0404007981 / / 0x000ea8000c1e1900 / /0e50/ LDG.E R11, [R2.64+-0x4] ; / 0xfffffc04020b7981 / / 0x000ea4000c1e1900 / /0e60/ IMAD.IADD R11, R0, 0x1, R11 ; / 0x00000001000b7824 / / 0x004fca00078e020b / /0e70/ STG.E [R6.64+-0x4], R11 ; / 0xfffffc0b06007986 / / 0x000fe8000c101904 / /0e80/ LDG.E R0, [R4.64] ; / 0x0000000404007981 / / 0x000ea8000c1e1900 / /0e90/ LDG.E R13, [R2.64] ; / 0x00000004020d7981 / / 0x000ea4000c1e1900 / /0ea0/ IADD3 R13, R0, R13, RZ ; / 0x0000000d000d7210 / / 0x004fca0007ffe0ff / /0eb0/ STG.E [R6.64], R13 ; / 0x0000000d06007986 / / 0x000fe8000c101904 / /0ec0/ LDG.E R0, [R4.64+0x4] ; / 0x0000040404007981 / / 0x000ea8000c1e1900 / /0ed0/ LDG.E R15, [R2.64+0x4] ; / 0x00000404020f7981 / / 0x000ea4000c1e1900 / /0ee0/ IMAD.IADD R15, R0, 0x1, R15 ; / 0x00000001000f7824 / / 0x004fca00078e020f / /0ef0/ STG.E [R6.64+0x4], R15 ; / 0x0000040f06007986 / / 0x000fe2000c101904 / /0f00/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0f10/ BRA 0xf10; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0f20/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f30/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f40/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f50/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f60/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f70/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f80/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0f90/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fa0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fb0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fc0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fd0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0fe0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0ff0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z13good_additionPiS_S_i .globl _Z13good_additionPiS_S_i .p2align 8 .type _Z13good_additionPiS_S_i,@function _Z13good_additionPiS_S_i: s_clause 0x2 s_load_b32 s2, s[0:1], 0x2c s_load_b32 s3, s[0:1], 0x20 s_load_b32 s6, s[0:1], 0x18 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_ashr_i32 s9, s6, 31 s_mul_i32 s3, s3, s2 s_add_i32 s10, s6, s9 s_ashr_i32 s4, s3, 31 s_xor_b32 s10, s10, s9 s_add_i32 s5, s3, s4 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_3) \| instid1(VALU_DEP_1) s_xor_b32 s5, s5, s4 s_xor_b32 s4, s9, s4 v_cvt_f32_u32_e32 v1, s5 s_sub_i32 s8, 0, s5 v_rcp_iflag_f32_e32 v1, v1 s_waitcnt_depctr 0xfff v_mul_f32_e32 v1, 0x4f7ffffe, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_cvt_u32_f32_e32 v1, v1 v_readfirstlane_b32 s7, v1 v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_delay_alu instid0(VALU_DEP_2) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_mul_i32 s8, s8, s7 s_mul_hi_u32 s8, s7, s8 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_add_i32 s7, s7, s8 s_mul_hi_u32 s7, s10, s7 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) s_mul_i32 s8, s7, s5 s_add_i32 s9, s7, 1 s_sub_i32 s8, s10, s8 s_sub_i32 s10, s8, s5 s_cmp_ge_u32 s8, s5 s_cselect_b32 s2, s9, s7 s_cselect_b32 s7, s10, s8 s_add_i32 s8, s2, 1 s_cmp_ge_u32 s7, s5 s_cselect_b32 s2, s8, s2 s_add_i32 s3, s3, -1 s_xor_b32 s2, s2, s4 v_cmp_eq_u32_e32 vcc_lo, s3, v1 s_sub_i32 s2, s2, s4 s_mov_b32 s3, exec_lo v_mul_lo_u32 v0, v1, s2 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_add_nc_u32_e32 v2, s2, v0 s_mov_b32 s2, 0 v_cndmask_b32_e64 v7, v2, s6, vcc_lo s_delay_alu instid0(VALU_DEP_1) v_cmpx_lt_i32_e64 v0, v7 s_cbranch_execz .LBB0_3 s_clause 0x1 s_load_b128 s[4:7], s[0:1], 0x0 s_load_b64 s[0:1], s[0:1], 0x10 v_ashrrev_i32_e32 v1, 31, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[5:6], 2, v[0:1] s_waitcnt lgkmcnt(0) v_add_co_u32 v1, vcc_lo, s4, v5 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v2, vcc_lo, s5, v6, vcc_lo v_add_co_u32 v3, vcc_lo, s6, v5 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v6, vcc_lo v_add_co_u32 v5, vcc_lo, s0, v5 v_add_co_ci_u32_e32 v6, vcc_lo, s1, v6, vcc_lo .p2align 6 .LBB0_2: global_load_b32 v8, v[1:2], off global_load_b32 v9, v[3:4], off v_add_co_u32 v1, vcc_lo, v1, 4 v_add_nc_u32_e32 v0, 1, v0 v_add_co_ci_u32_e32 v2, vcc_lo, 0, v2, vcc_lo v_add_co_u32 v3, vcc_lo, v3, 4 v_add_co_ci_u32_e32 v4, vcc_lo, 0, v4, vcc_lo s_delay_alu instid0(VALU_DEP_4) v_cmp_ge_i32_e32 vcc_lo, v0, v7 s_or_b32 s2, vcc_lo, s2 s_waitcnt vmcnt(0) v_add_nc_u32_e32 v8, v9, v8 global_store_b32 v[5:6], v8, off v_add_co_u32 v5, s0, v5, 4 s_delay_alu instid0(VALU_DEP_1) v_add_co_ci_u32_e64 v6, s0, 0, v6, s0 s_and_not1_b32 exec_lo, exec_lo, s2 s_cbranch_execnz .LBB0_2 .LBB0_3: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z13good_additionPiS_S_i .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 288 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 10 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z13good_additionPiS_S_i, .Lfunc_end0-_Z13good_additionPiS_S_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 4 .value_kind: by_value - .offset: 32 .size: 4 .value_kind: hidden_block_count_x - .offset: 36 .size: 4 .value_kind: hidden_block_count_y - .offset: 40 .size: 4 .value_kind: hidden_block_count_z - .offset: 44 .size: 2 .value_kind: hidden_group_size_x - .offset: 46 .size: 2 .value_kind: hidden_group_size_y - .offset: 48 .size: 2 .value_kind: hidden_group_size_z - .offset: 50 .size: 2 .value_kind: hidden_remainder_x - .offset: 52 .size: 2 .value_kind: hidden_remainder_y - .offset: 54 .size: 2 .value_kind: hidden_remainder_z - .offset: 72 .size: 8 .value_kind: hidden_global_offset_x - .offset: 80 .size: 8 .value_kind: hidden_global_offset_y - .offset: 88 .size: 8 .value_kind: hidden_global_offset_z - .offset: 96 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 288 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z13good_additionPiS_S_i .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z13good_additionPiS_S_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 10 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0006a0f4_00000000-6_good_addition.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i .type _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i, @function _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movl %ecx, 4(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) leaq 4(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z13good_additionPiS_S_i(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i, .-_Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i .globl _Z13good_additionPiS_S_i .type _Z13good_additionPiS_S_i, @function _Z13good_additionPiS_S_i: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z38__device_stub__Z13good_additionPiS_S_iPiS_S_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z13good_additionPiS_S_i, .-_Z13good_additionPiS_S_i .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z13good_additionPiS_S_i" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z13good_additionPiS_S_i(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "good_addition.hip" .globl _Z28__device_stub__good_additionPiS_S_i # -- Begin function _Z28__device_stub__good_additionPiS_S_i .p2align 4, 0x90 .type _Z28__device_stub__good_additionPiS_S_i,@function _Z28__device_stub__good_additionPiS_S_i: # @_Z28__device_stub__good_additionPiS_S_i .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movq %rdx, 56(%rsp) movl %ecx, 4(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 56(%rsp), %rax movq %rax, 96(%rsp) leaq 4(%rsp), %rax movq %rax, 104(%rsp) leaq 40(%rsp), %rdi leaq 24(%rsp), %rsi leaq 16(%rsp), %rdx leaq 8(%rsp), %rcx callq __hipPopCallConfiguration movq 40(%rsp), %rsi movl 48(%rsp), %edx movq 24(%rsp), %rcx movl 32(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z13good_additionPiS_S_i, %edi pushq 8(%rsp) .cfi_adjust_cfa_offset 8 pushq 24(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size _Z28__device_stub__good_additionPiS_S_i, .Lfunc_end0-_Z28__device_stub__good_additionPiS_S_i .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z13good_additionPiS_S_i, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z13good_additionPiS_S_i,@object # @_Z13good_additionPiS_S_i .section .rodata,"a",@progbits .globl _Z13good_additionPiS_S_i .p2align 3, 0x0 _Z13good_additionPiS_S_i: .quad _Z28__device_stub__good_additionPiS_S_i .size _Z13good_additionPiS_S_i, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z13good_additionPiS_S_i" .size .L__unnamed_1, 25 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z28__device_stub__good_additionPiS_S_i .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z13good_additionPiS_S_i .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	////////////////////////////////////////////////////////////////////////// ////This is the code implementation for Hanon finger exercise -- memory ////Dartmouth COSC89.25/189.03, GPU Programming and High-Performance Computing ////////////////////////////////////////////////////////////////////////// #include <cstdio> #include <vector> #include <iostream> #include <fstream> using namespace std; namespace name { std::string team = "Slim_Shaders"; std::string author_1 = "Andrw_Yang"; std::string author_2 = "Matthew_Kenney"; }; ofstream out; ////////////////////////////////////////////////////////////////////////// ////Hanon finger exercise for memory manipulations ////In this exercise you will practice the use of a set of CUDA memory APIs, //// including cudaMalloc, cudaFree, cudaMemcpy, cudaMemcpyFrom(To)Symbol, and cudaGetSymbolAddress const int a_host[8] = {1, 2, 3, 4, 5, 6, 7, 8}; ////a_host is an array on host __device__ const int b_dev[8] = {101, 102, 103, 104, 105, 106, 107, 108}; ////b_dev is an array on device ////Hanon Exercise 12: practice cudaMalloc, cudaMemcpy, and cudaFree ////Expected output: copy a_host from host to device, add each of its elements by 1, store the results in result_host ////Hint: ////0) allocate an array on device with the same size as a_host; ////1) copy a_host from host to device; ////2) write a kernel function to carry out the incremental operation on device; ////3) copy the calculated results on device to result_host (on host) ////4) free the array on device /TODO: Your kernel function starts/ __global__ void Hanon_kernel(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + 1; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_12() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Hanon_kernel <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your implementation ends/ cout << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 13: practice cudaMemcpyFromSymbol ////Expected output: result_host={101,102,103,104,105,106,107,108} ////Process: copy b_dev (the static CUDA device array declared in line 35) to result_host by using cudaMemcpyFromSymbol. ////Hint: b_dev is in static (stack) memory, so you cannot use cudaMemcpy to manipulate it! __host__ void Hanon_Exercise_13() { vector<int> result_host(8, 0); /TODO: Your implementation starts/ cudaMemcpyFromSymbol((void)&result_host[0], b_dev, 8 sizeof(int)); /TODO: Your implementation ends/ cout << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 14: practice manipulating dynamic and static memories together ////Expected output: result_host={101+1,102+2,103+3,104+4,105+5,106+6,107+7,108+8} ////Process: calculate a_host+b_dev (element-wise sum) on device and store the results in result_host ////Hint: ////1) transferring a_host from host to device; ////2) write a kernel function to carry out the element-wise sum for arrays a_host and b_dev ////3) transfer the results from device to result_host (on host) /TODO: Your kernel function starts/ __global__ void Hanon_kernel_14(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + b_dev[array_id]; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_14() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Hanon_kernel_14 <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 15: practice using shared memory ////Expected output: result_host={10+101,22+102,34+103,46+104,58+105,610+106,712+107,814+108} ////Process: calculate a_hosts+b_dev and store results in result_host. Here s is an array initialized in shared memory of the kernel function (line 111-113) ////Hint: You need to modify the arguments and the implementation of the function Calculate_Array_With_Shared() to pass in your array(s) and perform calculations __global__ void Calculate_Array_With_Shared(int array_from_host) /TODO: modify the arguments of the kernel function/ { __shared__ int s[8]; s[threadIdx.x] = 2 * threadIdx.x; __syncthreads(); /TODO: Your kernel implementation starts/ s[threadIdx.x] = s[threadIdx.x] * array_from_host[threadIdx.x] + b_dev[threadIdx.x]; __syncthreads(); array_from_host[threadIdx.x] = s[threadIdx.x]; /TODO: Your kernel implementation ends/ } __host__ void Hanon_Exercise_15() { /TODO: Your host function implementation starts/ int result_host[8] = {0}; int a_dev = 0; cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Calculate_Array_With_Shared <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 16: practice cudaGetSymbolAddress ////Expected output: result_host={10116+1,10216+1,10316+1,...,10816+1} ////Process: apply the following kernel function Manipulate_Array() onto b_dev and store the results in result_host ////WITHOUT modifying the implementation in Manipulate_Array() (call it as a blackbox) ////Hint: b_dev is a static array on GPU, you need to get its dynamic pointer by calling cudaGetSymbolAddress, and then send this pointer into the kernel function to update its values ////Note: You are not allowed to modify the implementation in this function! __global__ void Manipulate_Array(int* array) { array[threadIdx.x] = 16; array[threadIdx.x] += 1; } __host__ void Hanon_Exercise_16() { int result_host[8] = {0}; /TODO: Your host function implementation starts/ void devPtr = 0; cudaGetSymbolAddress(&devPtr, b_dev); // get address of b_dev constant Manipulate_Array <<< 1, 8, 8 * sizeof(int)>>>((int)devPtr); // Call Kernel function cudaMemcpyFromSymbol(result_host, b_dev, sizeof(int) 8); // Load the result into result_host /TODO: Your host function implementation ends/ cout << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 17: practice using shared memory with multiple array types ////Expected output: array_int={208,206,204,202}, array_float={8.,6.,4.,2.}, //// i.e., reverse the order of the int array, multiply each element by 2, and copy its values to the float array (by type conversion), //// and reverse the order of the float array, multiply each element by 2, and copy its values to the int array (by type conversion) //// You need to implement this process by using a piece of shared memory holding both two arrays ////Hint: read the sample code we went through in class on Thursday, and mimic its steps as ////1. Initialize two array pointers with the types of int and float to different addresses of the shared memory ////2. Copy the values from array_int and array_float to the proper elements in shared memory ////3. synchronize threads ////4. Copy the values with the proper order and rescaling factor from each array in shared memory to global memory (array_int and array_float) __global__ void Reverse_And_Multiply_Two_Arrays_With_Extern_Shared(int* array_int, const size_t array_int_size, float* array_float, const size_t array_float_size) { extern __shared__ int shared_mem[]; int* ai = (int)&shared_mem[0]; float af = (float)&shared_mem[array_int_size]; /Your implementation/ __syncthreads(); // swap the types as we pass into shared memory ai[threadIdx.x] = (int) array_float[array_float_size - 1 - threadIdx.x] 2; af[threadIdx.x] = (float) array_int[array_int_size - 1 - threadIdx.x] * 2.0; __syncthreads(); // Copy manipulated values back to global memory array_int[threadIdx.x] = ai[threadIdx.x]; array_float[threadIdx.x] = af[threadIdx.x]; } __host__ void Hanon_Exercise_17() { int array_int_host[4] = {1, 2, 3, 4}; float array_float_host[4] = {101., 102., 103., 104.}; int* array_int_dev = 0; float* array_float_dev = 0; cudaMalloc((void*)&array_int_dev, 4 sizeof(int)); cudaMalloc((void*)&array_float_dev, 4 sizeof(float)); cudaMemcpy(array_int_dev, array_int_host, 4 * sizeof(int), cudaMemcpyHostToDevice); cudaMemcpy(array_float_dev, array_float_host, 4 * sizeof(float), cudaMemcpyHostToDevice); /Your implementation: comment back the following code with the correct specification for shared memory size (by replacing the with a proper number) / Reverse_And_Multiply_Two_Arrays_With_Extern_Shared <<< 1, 4, 4 sizeof(int) +4 * sizeof(float) >>> (array_int_dev, 4, array_float_dev, 4); // Copy results back to host memory cudaMemcpy(array_int_host, array_int_dev, 4 * sizeof(int), cudaMemcpyDeviceToHost); cudaMemcpy(array_float_host, array_float_dev, 4 * sizeof(float), cudaMemcpyDeviceToHost); cout << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)cout << array_int_host[i] << ", "; cout << endl; for(int i = 0; i < 4; i++)cout << array_float_host[i] << ", "; cout << endl; out << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)out << array_int_host[i] << ", "; out << endl; for(int i = 0; i < 4; i++)out << array_float_host[i] << ", "; out << endl; } ////Congratulations! You have finished all your Hanon exercises today! ////////////////////////////////////////////////////////////////////////// void Hanon_Exercise_Test_Memory() { Hanon_Exercise_12(); Hanon_Exercise_13(); Hanon_Exercise_14(); Hanon_Exercise_15(); Hanon_Exercise_16(); Hanon_Exercise_17(); } int main() { if(name::team == "Team_X") { printf("\nPlease specify your team name and team member names in name::team and name::author to start.\n"); return 0; } std::string file_name = name::team + "_exercise_memory.dat"; out.open(file_name); if(out.fail()) { printf("\ncannot open file %s to record results\n", file_name.c_str()); return 0; } Hanon_Exercise_Test_Memory(); return 0; }	code for sm_80 Function : _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R13, SR_TID.X ; / 0x00000000000d7919 / / 0x000e220000002100 / /0020/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x17c] ; / 0x00005f00ff067624 / / 0x000fe200078e00ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0040/ IMAD.MOV.U32 R5, RZ, RZ, c[0x0][0x16c] ; / 0x00005b00ff057624 / / 0x000fe200078e00ff / /0050/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0060/ LOP3.LUT R0, RZ, R13, RZ, 0x33, !PT ; / 0x0000000dff007212 / / 0x001fc800078e33ff / /0070/ IADD3 R3, P0, R0.reuse, c[0x0][0x178], RZ ; / 0x00005e0000037a10 / / 0x040fe40007f1e0ff / /0080/ IADD3 R0, P1, R0, c[0x0][0x168], RZ ; / 0x00005a0000007a10 / / 0x000fe40007f3e0ff / /0090/ IADD3.X R6, R6, -0x1, RZ, P0, !PT ; / 0xffffffff06067810 / / 0x000fe400007fe4ff / /00a0/ IADD3.X R5, R5, -0x1, RZ, P1, !PT ; / 0xffffffff05057810 / / 0x000fe40000ffe4ff / /00b0/ LEA R2, P0, R3, c[0x0][0x170], 0x2 ; / 0x00005c0003027a11 / / 0x000fe400078010ff / /00c0/ LEA R4, P1, R0, c[0x0][0x160], 0x2 ; / 0x0000580000047a11 / / 0x000fc400078210ff / /00d0/ LEA.HI.X R3, R3, c[0x0][0x174], R6, 0x2, P0 ; / 0x00005d0003037a11 / / 0x000fe400000f1406 / /00e0/ LEA.HI.X R5, R0, c[0x0][0x164], R5, 0x2, P1 ; / 0x0000590000057a11 / / 0x000fc600008f1405 / /00f0/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x000ea8000c1e1900 / /0100/ LDG.E R4, [R4.64] ; / 0x0000000404047981 / / 0x000ee2000c1e1900 / /0110/ SHF.L.U32 R6, R13, 0x2, RZ ; / 0x000000020d067819 / / 0x000fe200000006ff / /0120/ IMAD.MOV.U32 R9, RZ, RZ, c[0x0][0x168] ; / 0x00005a00ff097624 / / 0x000fc800078e00ff / /0130/ IMAD R6, R9, 0x4, R6 ; / 0x0000000409067824 / / 0x000fe200078e0206 / /0140/ F2I.TRUNC.NTZ R0, R2 ; / 0x0000000200007305 / / 0x004e30000020f100 / /0150/ I2F R7, R4 ; / 0x0000000400077306 / / 0x0082a20000201400 / /0160/ IMAD.SHL.U32 R0, R0, 0x2, RZ ; / 0x0000000200007824 / / 0x001fe200078e00ff / /0170/ HFMA2.MMA R4, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff047435 / / 0x002fc800000001ff / /0180/ STS [R13.X4], R0 ; / 0x000000000d007388 / / 0x000fe20000004800 / /0190/ FADD R7, R7, R7 ; / 0x0000000707077221 / / 0x004fca0000000000 / /01a0/ IMAD.WIDE.U32 R2, R13.reuse, R4.reuse, c[0x0][0x160] ; / 0x000058000d027625 / / 0x0c0fe200078e0004 / /01b0/ STS [R6], R7 ; / 0x0000000706007388 / / 0x000fe60000000800 / /01c0/ IMAD.WIDE.U32 R4, R13, R4, c[0x0][0x170] ; / 0x00005c000d047625 / / 0x000fe200078e0004 / /01d0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /01e0/ LDS R9, [R13.X4] ; / 0x000000000d097984 / / 0x000e280000004800 / /01f0/ LDS R11, [R6] ; / 0x00000000060b7984 / / 0x000e680000000800 / /0200/ STG.E [R2.64], R9 ; / 0x0000000902007986 / / 0x001fe8000c101904 / /0210/ STG.E [R4.64], R11 ; / 0x0000000b04007986 / / 0x002fe2000c101904 / /0220/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0230/ BRA 0x230; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0240/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0250/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0260/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0270/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0280/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0290/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z16Manipulate_ArrayPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_TID.X ; / 0x0000000000027919 / / 0x000e220000002100 / /0020/ HFMA2.MMA R3, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff037435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fd20000000a00 / /0040/ IMAD.WIDE.U32 R2, R2, R3, c[0x0][0x160] ; / 0x0000580002027625 / / 0x001fca00078e0003 / /0050/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /0060/ LEA R5, R0, 0x1, 0x4 ; / 0x0000000100057811 / / 0x004fca00078e20ff / /0070/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /0080/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0090/ BRA 0x90; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z27Calculate_Array_With_SharedPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R9, SR_TID.X ; / 0x0000000000097919 / / 0x000e220000002100 / /0020/ HFMA2.MMA R2, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff027435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0040/ SHF.L.U32 R0, R9, 0x1, RZ ; / 0x0000000109007819 / / 0x001fd000000006ff / /0050/ IMAD.WIDE.U32 R4, R9.reuse, R2.reuse, c[0x4][0x0] ; / 0x0100000009047625 / / 0x0c0fe200078e0002 / /0060/ STS [R9.X4], R0 ; / 0x0000000009007388 / / 0x000fe60000004800 / /0070/ IMAD.WIDE.U32 R2, R9, R2, c[0x0][0x160] ; / 0x0000580009027625 / / 0x000fe200078e0002 / /0080/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /0090/ LDG.E.CONSTANT R4, [R4.64] ; / 0x0000000404047981 / / 0x000ea8000c1e9900 / /00a0/ LDG.E R7, [R2.64] ; / 0x0000000402077981 / / 0x000ea8000c1e1900 / /00b0/ LDS R6, [R9.X4] ; / 0x0000000009067984 / / 0x000ea40000004800 / /00c0/ IMAD R6, R6, R7, R4 ; / 0x0000000706067224 / / 0x004fca00078e0204 / /00d0/ STS [R9.X4], R6 ; / 0x0000000609007388 / / 0x000fe80000004800 / /00e0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /00f0/ LDS R7, [R9.X4] ; / 0x0000000009077984 / / 0x000e280000004800 / /0100/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x001fe2000c101904 / /0110/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0120/ BRA 0x120; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0180/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z15Hanon_kernel_14Pi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_CTAID.X ; / 0x0000000000027919 / / 0x000e220000002500 / /0020/ HFMA2.MMA R7, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff077435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0050/ IMAD R2, R2, c[0x0][0x0], R3 ; / 0x0000000002027a24 / / 0x001fca00078e0203 / /0060/ IMAD.WIDE R4, R2, R7, c[0x4][0x0] ; / 0x0100000002047625 / / 0x000fc800078e0207 / /0070/ IMAD.WIDE R2, R2, R7, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fe400078e0207 / /0080/ LDG.E.CONSTANT R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e9900 / /0090/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /00a0/ IADD3 R7, R0, R5, RZ ; / 0x0000000500077210 / / 0x004fca0007ffe0ff / /00b0/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x000fe2000c101904 / /00c0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00d0/ BRA 0xd0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z12Hanon_kernelPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_CTAID.X ; / 0x0000000000027919 / / 0x000e220000002500 / /0020/ HFMA2.MMA R5, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff057435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0050/ IMAD R2, R2, c[0x0][0x0], R3 ; / 0x0000000002027a24 / / 0x001fca00078e0203 / /0060/ IMAD.WIDE R2, R2, R5, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fca00078e0205 / /0070/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /0080/ IADD3 R5, R0, 0x1, RZ ; / 0x0000000100057810 / / 0x004fca0007ffe0ff / /0090/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /00a0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00b0/ BRA 0xb0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	////////////////////////////////////////////////////////////////////////// ////This is the code implementation for Hanon finger exercise -- memory ////Dartmouth COSC89.25/189.03, GPU Programming and High-Performance Computing ////////////////////////////////////////////////////////////////////////// #include <cstdio> #include <vector> #include <iostream> #include <fstream> using namespace std; namespace name { std::string team = "Slim_Shaders"; std::string author_1 = "Andrw_Yang"; std::string author_2 = "Matthew_Kenney"; }; ofstream out; ////////////////////////////////////////////////////////////////////////// ////Hanon finger exercise for memory manipulations ////In this exercise you will practice the use of a set of CUDA memory APIs, //// including cudaMalloc, cudaFree, cudaMemcpy, cudaMemcpyFrom(To)Symbol, and cudaGetSymbolAddress const int a_host[8] = {1, 2, 3, 4, 5, 6, 7, 8}; ////a_host is an array on host __device__ const int b_dev[8] = {101, 102, 103, 104, 105, 106, 107, 108}; ////b_dev is an array on device ////Hanon Exercise 12: practice cudaMalloc, cudaMemcpy, and cudaFree ////Expected output: copy a_host from host to device, add each of its elements by 1, store the results in result_host ////Hint: ////0) allocate an array on device with the same size as a_host; ////1) copy a_host from host to device; ////2) write a kernel function to carry out the incremental operation on device; ////3) copy the calculated results on device to result_host (on host) ////4) free the array on device /TODO: Your kernel function starts/ __global__ void Hanon_kernel(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + 1; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_12() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Hanon_kernel <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your implementation ends/ cout << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 13: practice cudaMemcpyFromSymbol ////Expected output: result_host={101,102,103,104,105,106,107,108} ////Process: copy b_dev (the static CUDA device array declared in line 35) to result_host by using cudaMemcpyFromSymbol. ////Hint: b_dev is in static (stack) memory, so you cannot use cudaMemcpy to manipulate it! __host__ void Hanon_Exercise_13() { vector<int> result_host(8, 0); /TODO: Your implementation starts/ cudaMemcpyFromSymbol((void)&result_host[0], b_dev, 8 sizeof(int)); /TODO: Your implementation ends/ cout << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 14: practice manipulating dynamic and static memories together ////Expected output: result_host={101+1,102+2,103+3,104+4,105+5,106+6,107+7,108+8} ////Process: calculate a_host+b_dev (element-wise sum) on device and store the results in result_host ////Hint: ////1) transferring a_host from host to device; ////2) write a kernel function to carry out the element-wise sum for arrays a_host and b_dev ////3) transfer the results from device to result_host (on host) /TODO: Your kernel function starts/ __global__ void Hanon_kernel_14(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + b_dev[array_id]; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_14() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Hanon_kernel_14 <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 15: practice using shared memory ////Expected output: result_host={10+101,22+102,34+103,46+104,58+105,610+106,712+107,814+108} ////Process: calculate a_hosts+b_dev and store results in result_host. Here s is an array initialized in shared memory of the kernel function (line 111-113) ////Hint: You need to modify the arguments and the implementation of the function Calculate_Array_With_Shared() to pass in your array(s) and perform calculations __global__ void Calculate_Array_With_Shared(int array_from_host) /TODO: modify the arguments of the kernel function/ { __shared__ int s[8]; s[threadIdx.x] = 2 * threadIdx.x; __syncthreads(); /TODO: Your kernel implementation starts/ s[threadIdx.x] = s[threadIdx.x] * array_from_host[threadIdx.x] + b_dev[threadIdx.x]; __syncthreads(); array_from_host[threadIdx.x] = s[threadIdx.x]; /TODO: Your kernel implementation ends/ } __host__ void Hanon_Exercise_15() { /TODO: Your host function implementation starts/ int result_host[8] = {0}; int a_dev = 0; cudaMalloc((void)&a_dev, 8 sizeof(int)); cudaMemcpy(a_dev, a_host, 8 * sizeof(int), cudaMemcpyHostToDevice); Calculate_Array_With_Shared <<< 1, 8, 8 * sizeof(int)>>>(a_dev); cudaMemcpy(result_host, a_dev, 8 * sizeof(int), cudaMemcpyDeviceToHost); cudaFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 16: practice cudaGetSymbolAddress ////Expected output: result_host={10116+1,10216+1,10316+1,...,10816+1} ////Process: apply the following kernel function Manipulate_Array() onto b_dev and store the results in result_host ////WITHOUT modifying the implementation in Manipulate_Array() (call it as a blackbox) ////Hint: b_dev is a static array on GPU, you need to get its dynamic pointer by calling cudaGetSymbolAddress, and then send this pointer into the kernel function to update its values ////Note: You are not allowed to modify the implementation in this function! __global__ void Manipulate_Array(int* array) { array[threadIdx.x] = 16; array[threadIdx.x] += 1; } __host__ void Hanon_Exercise_16() { int result_host[8] = {0}; /TODO: Your host function implementation starts/ void devPtr = 0; cudaGetSymbolAddress(&devPtr, b_dev); // get address of b_dev constant Manipulate_Array <<< 1, 8, 8 * sizeof(int)>>>((int)devPtr); // Call Kernel function cudaMemcpyFromSymbol(result_host, b_dev, sizeof(int) 8); // Load the result into result_host /TODO: Your host function implementation ends/ cout << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 17: practice using shared memory with multiple array types ////Expected output: array_int={208,206,204,202}, array_float={8.,6.,4.,2.}, //// i.e., reverse the order of the int array, multiply each element by 2, and copy its values to the float array (by type conversion), //// and reverse the order of the float array, multiply each element by 2, and copy its values to the int array (by type conversion) //// You need to implement this process by using a piece of shared memory holding both two arrays ////Hint: read the sample code we went through in class on Thursday, and mimic its steps as ////1. Initialize two array pointers with the types of int and float to different addresses of the shared memory ////2. Copy the values from array_int and array_float to the proper elements in shared memory ////3. synchronize threads ////4. Copy the values with the proper order and rescaling factor from each array in shared memory to global memory (array_int and array_float) __global__ void Reverse_And_Multiply_Two_Arrays_With_Extern_Shared(int* array_int, const size_t array_int_size, float* array_float, const size_t array_float_size) { extern __shared__ int shared_mem[]; int* ai = (int)&shared_mem[0]; float af = (float)&shared_mem[array_int_size]; /Your implementation/ __syncthreads(); // swap the types as we pass into shared memory ai[threadIdx.x] = (int) array_float[array_float_size - 1 - threadIdx.x] 2; af[threadIdx.x] = (float) array_int[array_int_size - 1 - threadIdx.x] * 2.0; __syncthreads(); // Copy manipulated values back to global memory array_int[threadIdx.x] = ai[threadIdx.x]; array_float[threadIdx.x] = af[threadIdx.x]; } __host__ void Hanon_Exercise_17() { int array_int_host[4] = {1, 2, 3, 4}; float array_float_host[4] = {101., 102., 103., 104.}; int* array_int_dev = 0; float* array_float_dev = 0; cudaMalloc((void*)&array_int_dev, 4 sizeof(int)); cudaMalloc((void*)&array_float_dev, 4 sizeof(float)); cudaMemcpy(array_int_dev, array_int_host, 4 * sizeof(int), cudaMemcpyHostToDevice); cudaMemcpy(array_float_dev, array_float_host, 4 * sizeof(float), cudaMemcpyHostToDevice); /Your implementation: comment back the following code with the correct specification for shared memory size (by replacing the with a proper number) / Reverse_And_Multiply_Two_Arrays_With_Extern_Shared <<< 1, 4, 4 sizeof(int) +4 * sizeof(float) >>> (array_int_dev, 4, array_float_dev, 4); // Copy results back to host memory cudaMemcpy(array_int_host, array_int_dev, 4 * sizeof(int), cudaMemcpyDeviceToHost); cudaMemcpy(array_float_host, array_float_dev, 4 * sizeof(float), cudaMemcpyDeviceToHost); cout << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)cout << array_int_host[i] << ", "; cout << endl; for(int i = 0; i < 4; i++)cout << array_float_host[i] << ", "; cout << endl; out << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)out << array_int_host[i] << ", "; out << endl; for(int i = 0; i < 4; i++)out << array_float_host[i] << ", "; out << endl; } ////Congratulations! You have finished all your Hanon exercises today! ////////////////////////////////////////////////////////////////////////// void Hanon_Exercise_Test_Memory() { Hanon_Exercise_12(); Hanon_Exercise_13(); Hanon_Exercise_14(); Hanon_Exercise_15(); Hanon_Exercise_16(); Hanon_Exercise_17(); } int main() { if(name::team == "Team_X") { printf("\nPlease specify your team name and team member names in name::team and name::author to start.\n"); return 0; } std::string file_name = name::team + "_exercise_memory.dat"; out.open(file_name); if(out.fail()) { printf("\ncannot open file %s to record results\n", file_name.c_str()); return 0; } Hanon_Exercise_Test_Memory(); return 0; }	////////////////////////////////////////////////////////////////////////// ////This is the code implementation for Hanon finger exercise -- memory ////Dartmouth COSC89.25/189.03, GPU Programming and High-Performance Computing ////////////////////////////////////////////////////////////////////////// #include <hip/hip_runtime.h> #include <cstdio> #include <vector> #include <iostream> #include <fstream> using namespace std; namespace name { std::string team = "Slim_Shaders"; std::string author_1 = "Andrw_Yang"; std::string author_2 = "Matthew_Kenney"; }; ofstream out; ////////////////////////////////////////////////////////////////////////// ////Hanon finger exercise for memory manipulations ////In this exercise you will practice the use of a set of CUDA memory APIs, //// including cudaMalloc, cudaFree, cudaMemcpy, cudaMemcpyFrom(To)Symbol, and cudaGetSymbolAddress const int a_host[8] = {1, 2, 3, 4, 5, 6, 7, 8}; ////a_host is an array on host __device__ const int b_dev[8] = {101, 102, 103, 104, 105, 106, 107, 108}; ////b_dev is an array on device ////Hanon Exercise 12: practice cudaMalloc, cudaMemcpy, and cudaFree ////Expected output: copy a_host from host to device, add each of its elements by 1, store the results in result_host ////Hint: ////0) allocate an array on device with the same size as a_host; ////1) copy a_host from host to device; ////2) write a kernel function to carry out the incremental operation on device; ////3) copy the calculated results on device to result_host (on host) ////4) free the array on device /TODO: Your kernel function starts/ __global__ void Hanon_kernel(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + 1; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_12() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Hanon_kernel <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your implementation ends/ cout << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 13: practice cudaMemcpyFromSymbol ////Expected output: result_host={101,102,103,104,105,106,107,108} ////Process: copy b_dev (the static CUDA device array declared in line 35) to result_host by using cudaMemcpyFromSymbol. ////Hint: b_dev is in static (stack) memory, so you cannot use cudaMemcpy to manipulate it! __host__ void Hanon_Exercise_13() { vector<int> result_host(8, 0); /TODO: Your implementation starts/ hipMemcpyFromSymbol((void)&result_host[0], HIP_SYMBOL(b_dev), 8 sizeof(int)); /TODO: Your implementation ends/ cout << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 14: practice manipulating dynamic and static memories together ////Expected output: result_host={101+1,102+2,103+3,104+4,105+5,106+6,107+7,108+8} ////Process: calculate a_host+b_dev (element-wise sum) on device and store the results in result_host ////Hint: ////1) transferring a_host from host to device; ////2) write a kernel function to carry out the element-wise sum for arrays a_host and b_dev ////3) transfer the results from device to result_host (on host) /TODO: Your kernel function starts/ __global__ void Hanon_kernel_14(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + b_dev[array_id]; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_14() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Hanon_kernel_14 <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 15: practice using shared memory ////Expected output: result_host={10+101,22+102,34+103,46+104,58+105,610+106,712+107,814+108} ////Process: calculate a_hosts+b_dev and store results in result_host. Here s is an array initialized in shared memory of the kernel function (line 111-113) ////Hint: You need to modify the arguments and the implementation of the function Calculate_Array_With_Shared() to pass in your array(s) and perform calculations __global__ void Calculate_Array_With_Shared(int array_from_host) /TODO: modify the arguments of the kernel function/ { __shared__ int s[8]; s[threadIdx.x] = 2 * threadIdx.x; __syncthreads(); /TODO: Your kernel implementation starts/ s[threadIdx.x] = s[threadIdx.x] * array_from_host[threadIdx.x] + b_dev[threadIdx.x]; __syncthreads(); array_from_host[threadIdx.x] = s[threadIdx.x]; /TODO: Your kernel implementation ends/ } __host__ void Hanon_Exercise_15() { /TODO: Your host function implementation starts/ int result_host[8] = {0}; int a_dev = 0; hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Calculate_Array_With_Shared <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 16: practice cudaGetSymbolAddress ////Expected output: result_host={10116+1,10216+1,10316+1,...,10816+1} ////Process: apply the following kernel function Manipulate_Array() onto b_dev and store the results in result_host ////WITHOUT modifying the implementation in Manipulate_Array() (call it as a blackbox) ////Hint: b_dev is a static array on GPU, you need to get its dynamic pointer by calling cudaGetSymbolAddress, and then send this pointer into the kernel function to update its values ////Note: You are not allowed to modify the implementation in this function! __global__ void Manipulate_Array(int* array) { array[threadIdx.x] = 16; array[threadIdx.x] += 1; } __host__ void Hanon_Exercise_16() { int result_host[8] = {0}; /TODO: Your host function implementation starts/ void devPtr = 0; hipGetSymbolAddress(&devPtr, HIP_SYMBOL(b_dev)); // get address of b_dev constant Manipulate_Array <<< 1, 8, 8 * sizeof(int)>>>((int)devPtr); // Call Kernel function hipMemcpyFromSymbol(result_host, HIP_SYMBOL(b_dev), sizeof(int) 8); // Load the result into result_host /TODO: Your host function implementation ends/ cout << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 17: practice using shared memory with multiple array types ////Expected output: array_int={208,206,204,202}, array_float={8.,6.,4.,2.}, //// i.e., reverse the order of the int array, multiply each element by 2, and copy its values to the float array (by type conversion), //// and reverse the order of the float array, multiply each element by 2, and copy its values to the int array (by type conversion) //// You need to implement this process by using a piece of shared memory holding both two arrays ////Hint: read the sample code we went through in class on Thursday, and mimic its steps as ////1. Initialize two array pointers with the types of int and float to different addresses of the shared memory ////2. Copy the values from array_int and array_float to the proper elements in shared memory ////3. synchronize threads ////4. Copy the values with the proper order and rescaling factor from each array in shared memory to global memory (array_int and array_float) __global__ void Reverse_And_Multiply_Two_Arrays_With_Extern_Shared(int* array_int, const size_t array_int_size, float* array_float, const size_t array_float_size) { extern __shared__ int shared_mem[]; int* ai = (int)&shared_mem[0]; float af = (float)&shared_mem[array_int_size]; /Your implementation/ __syncthreads(); // swap the types as we pass into shared memory ai[threadIdx.x] = (int) array_float[array_float_size - 1 - threadIdx.x] 2; af[threadIdx.x] = (float) array_int[array_int_size - 1 - threadIdx.x] * 2.0; __syncthreads(); // Copy manipulated values back to global memory array_int[threadIdx.x] = ai[threadIdx.x]; array_float[threadIdx.x] = af[threadIdx.x]; } __host__ void Hanon_Exercise_17() { int array_int_host[4] = {1, 2, 3, 4}; float array_float_host[4] = {101., 102., 103., 104.}; int* array_int_dev = 0; float* array_float_dev = 0; hipMalloc((void*)&array_int_dev, 4 sizeof(int)); hipMalloc((void*)&array_float_dev, 4 sizeof(float)); hipMemcpy(array_int_dev, array_int_host, 4 * sizeof(int), hipMemcpyHostToDevice); hipMemcpy(array_float_dev, array_float_host, 4 * sizeof(float), hipMemcpyHostToDevice); /Your implementation: comment back the following code with the correct specification for shared memory size (by replacing the with a proper number) / Reverse_And_Multiply_Two_Arrays_With_Extern_Shared <<< 1, 4, 4 sizeof(int) +4 * sizeof(float) >>> (array_int_dev, 4, array_float_dev, 4); // Copy results back to host memory hipMemcpy(array_int_host, array_int_dev, 4 * sizeof(int), hipMemcpyDeviceToHost); hipMemcpy(array_float_host, array_float_dev, 4 * sizeof(float), hipMemcpyDeviceToHost); cout << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)cout << array_int_host[i] << ", "; cout << endl; for(int i = 0; i < 4; i++)cout << array_float_host[i] << ", "; cout << endl; out << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)out << array_int_host[i] << ", "; out << endl; for(int i = 0; i < 4; i++)out << array_float_host[i] << ", "; out << endl; } ////Congratulations! You have finished all your Hanon exercises today! ////////////////////////////////////////////////////////////////////////// void Hanon_Exercise_Test_Memory() { Hanon_Exercise_12(); Hanon_Exercise_13(); Hanon_Exercise_14(); Hanon_Exercise_15(); Hanon_Exercise_16(); Hanon_Exercise_17(); } int main() { if(name::team == "Team_X") { printf("\nPlease specify your team name and team member names in name::team and name::author to start.\n"); return 0; } std::string file_name = name::team + "_exercise_memory.dat"; out.open(file_name); if(out.fail()) { printf("\ncannot open file %s to record results\n", file_name.c_str()); return 0; } Hanon_Exercise_Test_Memory(); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	////////////////////////////////////////////////////////////////////////// ////This is the code implementation for Hanon finger exercise -- memory ////Dartmouth COSC89.25/189.03, GPU Programming and High-Performance Computing ////////////////////////////////////////////////////////////////////////// #include <hip/hip_runtime.h> #include <cstdio> #include <vector> #include <iostream> #include <fstream> using namespace std; namespace name { std::string team = "Slim_Shaders"; std::string author_1 = "Andrw_Yang"; std::string author_2 = "Matthew_Kenney"; }; ofstream out; ////////////////////////////////////////////////////////////////////////// ////Hanon finger exercise for memory manipulations ////In this exercise you will practice the use of a set of CUDA memory APIs, //// including cudaMalloc, cudaFree, cudaMemcpy, cudaMemcpyFrom(To)Symbol, and cudaGetSymbolAddress const int a_host[8] = {1, 2, 3, 4, 5, 6, 7, 8}; ////a_host is an array on host __device__ const int b_dev[8] = {101, 102, 103, 104, 105, 106, 107, 108}; ////b_dev is an array on device ////Hanon Exercise 12: practice cudaMalloc, cudaMemcpy, and cudaFree ////Expected output: copy a_host from host to device, add each of its elements by 1, store the results in result_host ////Hint: ////0) allocate an array on device with the same size as a_host; ////1) copy a_host from host to device; ////2) write a kernel function to carry out the incremental operation on device; ////3) copy the calculated results on device to result_host (on host) ////4) free the array on device /TODO: Your kernel function starts/ __global__ void Hanon_kernel(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + 1; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_12() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Hanon_kernel <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your implementation ends/ cout << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 12:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 13: practice cudaMemcpyFromSymbol ////Expected output: result_host={101,102,103,104,105,106,107,108} ////Process: copy b_dev (the static CUDA device array declared in line 35) to result_host by using cudaMemcpyFromSymbol. ////Hint: b_dev is in static (stack) memory, so you cannot use cudaMemcpy to manipulate it! __host__ void Hanon_Exercise_13() { vector<int> result_host(8, 0); /TODO: Your implementation starts/ hipMemcpyFromSymbol((void)&result_host[0], HIP_SYMBOL(b_dev), 8 sizeof(int)); /TODO: Your implementation ends/ cout << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 13:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 14: practice manipulating dynamic and static memories together ////Expected output: result_host={101+1,102+2,103+3,104+4,105+5,106+6,107+7,108+8} ////Process: calculate a_host+b_dev (element-wise sum) on device and store the results in result_host ////Hint: ////1) transferring a_host from host to device; ////2) write a kernel function to carry out the element-wise sum for arrays a_host and b_dev ////3) transfer the results from device to result_host (on host) /TODO: Your kernel function starts/ __global__ void Hanon_kernel_14(int* to_increment) { int array_id = blockDim.x * blockIdx.x + threadIdx.x; to_increment[array_id] = to_increment[array_id] + b_dev[array_id]; } /TODO: Your kernel function ends/ __host__ void Hanon_Exercise_14() { int result_host[8] = {0}; int a_dev = 0; /TODO: Your implementation starts/ hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Hanon_kernel_14 <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 14:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 15: practice using shared memory ////Expected output: result_host={10+101,22+102,34+103,46+104,58+105,610+106,712+107,814+108} ////Process: calculate a_hosts+b_dev and store results in result_host. Here s is an array initialized in shared memory of the kernel function (line 111-113) ////Hint: You need to modify the arguments and the implementation of the function Calculate_Array_With_Shared() to pass in your array(s) and perform calculations __global__ void Calculate_Array_With_Shared(int array_from_host) /TODO: modify the arguments of the kernel function/ { __shared__ int s[8]; s[threadIdx.x] = 2 * threadIdx.x; __syncthreads(); /TODO: Your kernel implementation starts/ s[threadIdx.x] = s[threadIdx.x] * array_from_host[threadIdx.x] + b_dev[threadIdx.x]; __syncthreads(); array_from_host[threadIdx.x] = s[threadIdx.x]; /TODO: Your kernel implementation ends/ } __host__ void Hanon_Exercise_15() { /TODO: Your host function implementation starts/ int result_host[8] = {0}; int a_dev = 0; hipMalloc((void)&a_dev, 8 sizeof(int)); hipMemcpy(a_dev, a_host, 8 * sizeof(int), hipMemcpyHostToDevice); Calculate_Array_With_Shared <<< 1, 8, 8 * sizeof(int)>>>(a_dev); hipMemcpy(result_host, a_dev, 8 * sizeof(int), hipMemcpyDeviceToHost); hipFree(a_dev); /TODO: Your host function implementation ends/ cout << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 15:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 16: practice cudaGetSymbolAddress ////Expected output: result_host={10116+1,10216+1,10316+1,...,10816+1} ////Process: apply the following kernel function Manipulate_Array() onto b_dev and store the results in result_host ////WITHOUT modifying the implementation in Manipulate_Array() (call it as a blackbox) ////Hint: b_dev is a static array on GPU, you need to get its dynamic pointer by calling cudaGetSymbolAddress, and then send this pointer into the kernel function to update its values ////Note: You are not allowed to modify the implementation in this function! __global__ void Manipulate_Array(int* array) { array[threadIdx.x] = 16; array[threadIdx.x] += 1; } __host__ void Hanon_Exercise_16() { int result_host[8] = {0}; /TODO: Your host function implementation starts/ void devPtr = 0; hipGetSymbolAddress(&devPtr, HIP_SYMBOL(b_dev)); // get address of b_dev constant Manipulate_Array <<< 1, 8, 8 * sizeof(int)>>>((int)devPtr); // Call Kernel function hipMemcpyFromSymbol(result_host, HIP_SYMBOL(b_dev), sizeof(int) 8); // Load the result into result_host /TODO: Your host function implementation ends/ cout << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)cout << result_host[i] << ", "; cout << endl; out << "Hanon exercise 16:\n"; for(int i = 0; i < 8; i++)out << result_host[i] << ", "; out << endl; } ////Hanon Exercise 17: practice using shared memory with multiple array types ////Expected output: array_int={208,206,204,202}, array_float={8.,6.,4.,2.}, //// i.e., reverse the order of the int array, multiply each element by 2, and copy its values to the float array (by type conversion), //// and reverse the order of the float array, multiply each element by 2, and copy its values to the int array (by type conversion) //// You need to implement this process by using a piece of shared memory holding both two arrays ////Hint: read the sample code we went through in class on Thursday, and mimic its steps as ////1. Initialize two array pointers with the types of int and float to different addresses of the shared memory ////2. Copy the values from array_int and array_float to the proper elements in shared memory ////3. synchronize threads ////4. Copy the values with the proper order and rescaling factor from each array in shared memory to global memory (array_int and array_float) __global__ void Reverse_And_Multiply_Two_Arrays_With_Extern_Shared(int* array_int, const size_t array_int_size, float* array_float, const size_t array_float_size) { extern __shared__ int shared_mem[]; int* ai = (int)&shared_mem[0]; float af = (float)&shared_mem[array_int_size]; /Your implementation/ __syncthreads(); // swap the types as we pass into shared memory ai[threadIdx.x] = (int) array_float[array_float_size - 1 - threadIdx.x] 2; af[threadIdx.x] = (float) array_int[array_int_size - 1 - threadIdx.x] * 2.0; __syncthreads(); // Copy manipulated values back to global memory array_int[threadIdx.x] = ai[threadIdx.x]; array_float[threadIdx.x] = af[threadIdx.x]; } __host__ void Hanon_Exercise_17() { int array_int_host[4] = {1, 2, 3, 4}; float array_float_host[4] = {101., 102., 103., 104.}; int* array_int_dev = 0; float* array_float_dev = 0; hipMalloc((void*)&array_int_dev, 4 sizeof(int)); hipMalloc((void*)&array_float_dev, 4 sizeof(float)); hipMemcpy(array_int_dev, array_int_host, 4 * sizeof(int), hipMemcpyHostToDevice); hipMemcpy(array_float_dev, array_float_host, 4 * sizeof(float), hipMemcpyHostToDevice); /Your implementation: comment back the following code with the correct specification for shared memory size (by replacing the with a proper number) / Reverse_And_Multiply_Two_Arrays_With_Extern_Shared <<< 1, 4, 4 sizeof(int) +4 * sizeof(float) >>> (array_int_dev, 4, array_float_dev, 4); // Copy results back to host memory hipMemcpy(array_int_host, array_int_dev, 4 * sizeof(int), hipMemcpyDeviceToHost); hipMemcpy(array_float_host, array_float_dev, 4 * sizeof(float), hipMemcpyDeviceToHost); cout << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)cout << array_int_host[i] << ", "; cout << endl; for(int i = 0; i < 4; i++)cout << array_float_host[i] << ", "; cout << endl; out << "Hanon exercise 17:\n"; for(int i = 0; i < 4; i++)out << array_int_host[i] << ", "; out << endl; for(int i = 0; i < 4; i++)out << array_float_host[i] << ", "; out << endl; } ////Congratulations! You have finished all your Hanon exercises today! ////////////////////////////////////////////////////////////////////////// void Hanon_Exercise_Test_Memory() { Hanon_Exercise_12(); Hanon_Exercise_13(); Hanon_Exercise_14(); Hanon_Exercise_15(); Hanon_Exercise_16(); Hanon_Exercise_17(); } int main() { if(name::team == "Team_X") { printf("\nPlease specify your team name and team member names in name::team and name::author to start.\n"); return 0; } std::string file_name = name::team + "_exercise_memory.dat"; out.open(file_name); if(out.fail()) { printf("\ncannot open file %s to record results\n", file_name.c_str()); return 0; } Hanon_Exercise_Test_Memory(); return 0; }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12Hanon_kernelPi .globl _Z12Hanon_kernelPi .p2align 8 .type _Z12Hanon_kernelPi,@function _Z12Hanon_kernelPi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b64 s[0:1], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] v_add_co_u32 v0, vcc_lo, s0, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v1, vcc_lo, s1, v1, vcc_lo global_load_b32 v2, v[0:1], off s_waitcnt vmcnt(0) v_add_nc_u32_e32 v2, 1, v2 global_store_b32 v[0:1], v2, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z12Hanon_kernelPi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 264 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 3 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z12Hanon_kernelPi, .Lfunc_end0-_Z12Hanon_kernelPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z15Hanon_kernel_14Pi .globl _Z15Hanon_kernel_14Pi .p2align 8 .type _Z15Hanon_kernel_14Pi,@function _Z15Hanon_kernel_14Pi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b64 s[0:1], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_3) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_getpc_b64 s[2:3] s_add_u32 s2, s2, _ZL5b_dev@rel32@lo+4 s_addc_u32 s3, s3, _ZL5b_dev@rel32@hi+12 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] v_add_co_u32 v2, vcc_lo, s0, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v3, vcc_lo, s1, v1, vcc_lo v_add_co_u32 v0, vcc_lo, v0, s2 v_add_co_ci_u32_e32 v1, vcc_lo, s3, v1, vcc_lo global_load_b32 v4, v[2:3], off global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) v_add_nc_u32_e32 v0, v0, v4 global_store_b32 v[2:3], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z15Hanon_kernel_14Pi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 264 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 5 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end1: .size _Z15Hanon_kernel_14Pi, .Lfunc_end1-_Z15Hanon_kernel_14Pi .section .AMDGPU.csdata,"",@progbits .text .protected _Z27Calculate_Array_With_SharedPi .globl _Z27Calculate_Array_With_SharedPi .p2align 8 .type _Z27Calculate_Array_With_SharedPi,@function _Z27Calculate_Array_With_SharedPi: s_load_b64 s[0:1], s[0:1], 0x0 v_lshlrev_b32_e32 v1, 1, v0 v_lshlrev_b32_e32 v3, 2, v0 s_getpc_b64 s[2:3] s_add_u32 s2, s2, _ZL5b_dev@rel32@lo+4 s_addc_u32 s3, s3, _ZL5b_dev@rel32@hi+12 ds_store_b32 v3, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv s_clause 0x1 global_load_b32 v4, v3, s[0:1] global_load_b32 v0, v3, s[2:3] ds_load_b32 v5, v3 s_waitcnt vmcnt(0) lgkmcnt(0) v_mad_u64_u32 v[1:2], null, v4, v5, v[0:1] ds_store_b32 v3, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v0, v3 s_waitcnt lgkmcnt(0) global_store_b32 v3, v0, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z27Calculate_Array_With_SharedPi .amdhsa_group_segment_fixed_size 32 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 8 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 6 .amdhsa_next_free_sgpr 4 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end2: .size _Z27Calculate_Array_With_SharedPi, .Lfunc_end2-_Z27Calculate_Array_With_SharedPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z16Manipulate_ArrayPi .globl _Z16Manipulate_ArrayPi .p2align 8 .type _Z16Manipulate_ArrayPi,@function _Z16Manipulate_ArrayPi: s_load_b64 s[0:1], s[0:1], 0x0 v_lshlrev_b32_e32 v0, 2, v0 s_waitcnt lgkmcnt(0) global_load_b32 v1, v0, s[0:1] s_waitcnt vmcnt(0) v_lshl_or_b32 v1, v1, 4, 1 global_store_b32 v0, v1, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16Manipulate_ArrayPi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 8 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 2 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end3: .size _Z16Manipulate_ArrayPi, .Lfunc_end3-_Z16Manipulate_ArrayPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .globl _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .p2align 8 .type _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm,@function _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm: s_load_b256 s[0:7], s[0:1], 0x0 v_not_b32_e32 v1, v0 v_lshlrev_b32_e32 v0, 2, v0 v_mov_b32_e32 v2, -1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv v_lshlrev_b64 v[1:2], 2, v[1:2] s_lshl_b64 s[6:7], s[6:7], 2 s_lshl_b32 s8, s2, 2 s_add_u32 s6, s6, s4 s_addc_u32 s7, s7, s5 s_lshl_b64 s[2:3], s[2:3], 2 v_add_co_u32 v3, vcc_lo, s6, v1 s_add_u32 s2, s2, s0 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v2, vcc_lo s_addc_u32 s3, s3, s1 v_add_co_u32 v1, vcc_lo, s2, v1 v_add_co_ci_u32_e32 v2, vcc_lo, s3, v2, vcc_lo global_load_b32 v3, v[3:4], off global_load_b32 v1, v[1:2], off s_waitcnt vmcnt(1) v_cvt_i32_f32_e32 v2, v3 s_waitcnt vmcnt(0) v_cvt_f32_i32_e32 v1, v1 s_delay_alu instid0(VALU_DEP_1) v_dual_add_f32 v1, v1, v1 :: v_dual_lshlrev_b32 v2, 1, v2 v_add_nc_u32_e32 v3, 0, v0 v_add3_u32 v4, 0, s8, v0 ds_store_b32 v3, v2 ds_store_b32 v4, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v1, v3 ds_load_b32 v2, v4 s_waitcnt lgkmcnt(1) global_store_b32 v0, v1, s[0:1] s_waitcnt lgkmcnt(0) global_store_b32 v0, v2, s[4:5] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 32 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 5 .amdhsa_next_free_sgpr 9 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end4: .size _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm, .Lfunc_end4-_Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type _ZL5b_dev,@object .section .rodata.cst32,"aM",@progbits,32 .p2align 4, 0x0 _ZL5b_dev: .long 101 .long 102 .long 103 .long 104 .long 105 .long 106 .long 107 .long 108 .size _ZL5b_dev, 32 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: hidden_block_count_x - .offset: 12 .size: 4 .value_kind: hidden_block_count_y - .offset: 16 .size: 4 .value_kind: hidden_block_count_z - .offset: 20 .size: 2 .value_kind: hidden_group_size_x - .offset: 22 .size: 2 .value_kind: hidden_group_size_y - .offset: 24 .size: 2 .value_kind: hidden_group_size_z - .offset: 26 .size: 2 .value_kind: hidden_remainder_x - .offset: 28 .size: 2 .value_kind: hidden_remainder_y - .offset: 30 .size: 2 .value_kind: hidden_remainder_z - .offset: 48 .size: 8 .value_kind: hidden_global_offset_x - .offset: 56 .size: 8 .value_kind: hidden_global_offset_y - .offset: 64 .size: 8 .value_kind: hidden_global_offset_z - .offset: 72 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 264 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z12Hanon_kernelPi .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z12Hanon_kernelPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 3 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: hidden_block_count_x - .offset: 12 .size: 4 .value_kind: hidden_block_count_y - .offset: 16 .size: 4 .value_kind: hidden_block_count_z - .offset: 20 .size: 2 .value_kind: hidden_group_size_x - .offset: 22 .size: 2 .value_kind: hidden_group_size_y - .offset: 24 .size: 2 .value_kind: hidden_group_size_z - .offset: 26 .size: 2 .value_kind: hidden_remainder_x - .offset: 28 .size: 2 .value_kind: hidden_remainder_y - .offset: 30 .size: 2 .value_kind: hidden_remainder_z - .offset: 48 .size: 8 .value_kind: hidden_global_offset_x - .offset: 56 .size: 8 .value_kind: hidden_global_offset_y - .offset: 64 .size: 8 .value_kind: hidden_global_offset_z - .offset: 72 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 264 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z15Hanon_kernel_14Pi .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z15Hanon_kernel_14Pi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 5 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 32 .kernarg_segment_align: 8 .kernarg_segment_size: 8 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z27Calculate_Array_With_SharedPi .private_segment_fixed_size: 0 .sgpr_count: 4 .sgpr_spill_count: 0 .symbol: _Z27Calculate_Array_With_SharedPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 6 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 8 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16Manipulate_ArrayPi .private_segment_fixed_size: 0 .sgpr_count: 2 .sgpr_spill_count: 0 .symbol: _Z16Manipulate_ArrayPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 8 .value_kind: by_value - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 8 .value_kind: by_value .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 32 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .private_segment_fixed_size: 0 .sgpr_count: 11 .sgpr_spill_count: 0 .symbol: _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 5 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R13, SR_TID.X ; / 0x00000000000d7919 / / 0x000e220000002100 / /0020/ IMAD.MOV.U32 R6, RZ, RZ, c[0x0][0x17c] ; / 0x00005f00ff067624 / / 0x000fe200078e00ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0040/ IMAD.MOV.U32 R5, RZ, RZ, c[0x0][0x16c] ; / 0x00005b00ff057624 / / 0x000fe200078e00ff / /0050/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0060/ LOP3.LUT R0, RZ, R13, RZ, 0x33, !PT ; / 0x0000000dff007212 / / 0x001fc800078e33ff / /0070/ IADD3 R3, P0, R0.reuse, c[0x0][0x178], RZ ; / 0x00005e0000037a10 / / 0x040fe40007f1e0ff / /0080/ IADD3 R0, P1, R0, c[0x0][0x168], RZ ; / 0x00005a0000007a10 / / 0x000fe40007f3e0ff / /0090/ IADD3.X R6, R6, -0x1, RZ, P0, !PT ; / 0xffffffff06067810 / / 0x000fe400007fe4ff / /00a0/ IADD3.X R5, R5, -0x1, RZ, P1, !PT ; / 0xffffffff05057810 / / 0x000fe40000ffe4ff / /00b0/ LEA R2, P0, R3, c[0x0][0x170], 0x2 ; / 0x00005c0003027a11 / / 0x000fe400078010ff / /00c0/ LEA R4, P1, R0, c[0x0][0x160], 0x2 ; / 0x0000580000047a11 / / 0x000fc400078210ff / /00d0/ LEA.HI.X R3, R3, c[0x0][0x174], R6, 0x2, P0 ; / 0x00005d0003037a11 / / 0x000fe400000f1406 / /00e0/ LEA.HI.X R5, R0, c[0x0][0x164], R5, 0x2, P1 ; / 0x0000590000057a11 / / 0x000fc600008f1405 / /00f0/ LDG.E R2, [R2.64] ; / 0x0000000402027981 / / 0x000ea8000c1e1900 / /0100/ LDG.E R4, [R4.64] ; / 0x0000000404047981 / / 0x000ee2000c1e1900 / /0110/ SHF.L.U32 R6, R13, 0x2, RZ ; / 0x000000020d067819 / / 0x000fe200000006ff / /0120/ IMAD.MOV.U32 R9, RZ, RZ, c[0x0][0x168] ; / 0x00005a00ff097624 / / 0x000fc800078e00ff / /0130/ IMAD R6, R9, 0x4, R6 ; / 0x0000000409067824 / / 0x000fe200078e0206 / /0140/ F2I.TRUNC.NTZ R0, R2 ; / 0x0000000200007305 / / 0x004e30000020f100 / /0150/ I2F R7, R4 ; / 0x0000000400077306 / / 0x0082a20000201400 / /0160/ IMAD.SHL.U32 R0, R0, 0x2, RZ ; / 0x0000000200007824 / / 0x001fe200078e00ff / /0170/ HFMA2.MMA R4, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff047435 / / 0x002fc800000001ff / /0180/ STS [R13.X4], R0 ; / 0x000000000d007388 / / 0x000fe20000004800 / /0190/ FADD R7, R7, R7 ; / 0x0000000707077221 / / 0x004fca0000000000 / /01a0/ IMAD.WIDE.U32 R2, R13.reuse, R4.reuse, c[0x0][0x160] ; / 0x000058000d027625 / / 0x0c0fe200078e0004 / /01b0/ STS [R6], R7 ; / 0x0000000706007388 / / 0x000fe60000000800 / /01c0/ IMAD.WIDE.U32 R4, R13, R4, c[0x0][0x170] ; / 0x00005c000d047625 / / 0x000fe200078e0004 / /01d0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /01e0/ LDS R9, [R13.X4] ; / 0x000000000d097984 / / 0x000e280000004800 / /01f0/ LDS R11, [R6] ; / 0x00000000060b7984 / / 0x000e680000000800 / /0200/ STG.E [R2.64], R9 ; / 0x0000000902007986 / / 0x001fe8000c101904 / /0210/ STG.E [R4.64], R11 ; / 0x0000000b04007986 / / 0x002fe2000c101904 / /0220/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0230/ BRA 0x230; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0240/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0250/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0260/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0270/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0280/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0290/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /02f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z16Manipulate_ArrayPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_TID.X ; / 0x0000000000027919 / / 0x000e220000002100 / /0020/ HFMA2.MMA R3, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff037435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fd20000000a00 / /0040/ IMAD.WIDE.U32 R2, R2, R3, c[0x0][0x160] ; / 0x0000580002027625 / / 0x001fca00078e0003 / /0050/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /0060/ LEA R5, R0, 0x1, 0x4 ; / 0x0000000100057811 / / 0x004fca00078e20ff / /0070/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /0080/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0090/ BRA 0x90; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z27Calculate_Array_With_SharedPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R9, SR_TID.X ; / 0x0000000000097919 / / 0x000e220000002100 / /0020/ HFMA2.MMA R2, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff027435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0040/ SHF.L.U32 R0, R9, 0x1, RZ ; / 0x0000000109007819 / / 0x001fd000000006ff / /0050/ IMAD.WIDE.U32 R4, R9.reuse, R2.reuse, c[0x4][0x0] ; / 0x0100000009047625 / / 0x0c0fe200078e0002 / /0060/ STS [R9.X4], R0 ; / 0x0000000009007388 / / 0x000fe60000004800 / /0070/ IMAD.WIDE.U32 R2, R9, R2, c[0x0][0x160] ; / 0x0000580009027625 / / 0x000fe200078e0002 / /0080/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /0090/ LDG.E.CONSTANT R4, [R4.64] ; / 0x0000000404047981 / / 0x000ea8000c1e9900 / /00a0/ LDG.E R7, [R2.64] ; / 0x0000000402077981 / / 0x000ea8000c1e1900 / /00b0/ LDS R6, [R9.X4] ; / 0x0000000009067984 / / 0x000ea40000004800 / /00c0/ IMAD R6, R6, R7, R4 ; / 0x0000000706067224 / / 0x004fca00078e0204 / /00d0/ STS [R9.X4], R6 ; / 0x0000000609007388 / / 0x000fe80000004800 / /00e0/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fec0000010000 / /00f0/ LDS R7, [R9.X4] ; / 0x0000000009077984 / / 0x000e280000004800 / /0100/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x001fe2000c101904 / /0110/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0120/ BRA 0x120; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0180/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z15Hanon_kernel_14Pi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_CTAID.X ; / 0x0000000000027919 / / 0x000e220000002500 / /0020/ HFMA2.MMA R7, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff077435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0050/ IMAD R2, R2, c[0x0][0x0], R3 ; / 0x0000000002027a24 / / 0x001fca00078e0203 / /0060/ IMAD.WIDE R4, R2, R7, c[0x4][0x0] ; / 0x0100000002047625 / / 0x000fc800078e0207 / /0070/ IMAD.WIDE R2, R2, R7, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fe400078e0207 / /0080/ LDG.E.CONSTANT R5, [R4.64] ; / 0x0000000404057981 / / 0x000ea8000c1e9900 / /0090/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /00a0/ IADD3 R7, R0, R5, RZ ; / 0x0000000500077210 / / 0x004fca0007ffe0ff / /00b0/ STG.E [R2.64], R7 ; / 0x0000000702007986 / / 0x000fe2000c101904 / /00c0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00d0/ BRA 0xd0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / .......... Function : _Z12Hanon_kernelPi .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; / 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R2, SR_CTAID.X ; / 0x0000000000027919 / / 0x000e220000002500 / /0020/ HFMA2.MMA R5, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff057435 / / 0x000fe200000001ff / /0030/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe40000000a00 / /0040/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0050/ IMAD R2, R2, c[0x0][0x0], R3 ; / 0x0000000002027a24 / / 0x001fca00078e0203 / /0060/ IMAD.WIDE R2, R2, R5, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fca00078e0205 / /0070/ LDG.E R0, [R2.64] ; / 0x0000000402007981 / / 0x000ea4000c1e1900 / /0080/ IADD3 R5, R0, 0x1, RZ ; / 0x0000000100057810 / / 0x004fca0007ffe0ff / /0090/ STG.E [R2.64], R5 ; / 0x0000000502007986 / / 0x000fe2000c101904 / /00a0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /00b0/ BRA 0xb0; / 0xfffffff000007947 / / 0x000fc0000383ffff / /00c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /00f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0100/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12Hanon_kernelPi .globl _Z12Hanon_kernelPi .p2align 8 .type _Z12Hanon_kernelPi,@function _Z12Hanon_kernelPi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b64 s[0:1], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] v_add_co_u32 v0, vcc_lo, s0, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v1, vcc_lo, s1, v1, vcc_lo global_load_b32 v2, v[0:1], off s_waitcnt vmcnt(0) v_add_nc_u32_e32 v2, 1, v2 global_store_b32 v[0:1], v2, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z12Hanon_kernelPi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 264 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 3 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z12Hanon_kernelPi, .Lfunc_end0-_Z12Hanon_kernelPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z15Hanon_kernel_14Pi .globl _Z15Hanon_kernel_14Pi .p2align 8 .type _Z15Hanon_kernel_14Pi,@function _Z15Hanon_kernel_14Pi: s_clause 0x1 s_load_b32 s2, s[0:1], 0x14 s_load_b64 s[0:1], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_3) \| instid1(VALU_DEP_1) v_mad_u64_u32 v[1:2], null, s15, s2, v[0:1] s_getpc_b64 s[2:3] s_add_u32 s2, s2, _ZL5b_dev@rel32@lo+4 s_addc_u32 s3, s3, _ZL5b_dev@rel32@hi+12 v_ashrrev_i32_e32 v2, 31, v1 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[0:1], 2, v[1:2] v_add_co_u32 v2, vcc_lo, s0, v0 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v3, vcc_lo, s1, v1, vcc_lo v_add_co_u32 v0, vcc_lo, v0, s2 v_add_co_ci_u32_e32 v1, vcc_lo, s3, v1, vcc_lo global_load_b32 v4, v[2:3], off global_load_b32 v0, v[0:1], off s_waitcnt vmcnt(0) v_add_nc_u32_e32 v0, v0, v4 global_store_b32 v[2:3], v0, off s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z15Hanon_kernel_14Pi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 264 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 5 .amdhsa_next_free_sgpr 16 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end1: .size _Z15Hanon_kernel_14Pi, .Lfunc_end1-_Z15Hanon_kernel_14Pi .section .AMDGPU.csdata,"",@progbits .text .protected _Z27Calculate_Array_With_SharedPi .globl _Z27Calculate_Array_With_SharedPi .p2align 8 .type _Z27Calculate_Array_With_SharedPi,@function _Z27Calculate_Array_With_SharedPi: s_load_b64 s[0:1], s[0:1], 0x0 v_lshlrev_b32_e32 v1, 1, v0 v_lshlrev_b32_e32 v3, 2, v0 s_getpc_b64 s[2:3] s_add_u32 s2, s2, _ZL5b_dev@rel32@lo+4 s_addc_u32 s3, s3, _ZL5b_dev@rel32@hi+12 ds_store_b32 v3, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv s_clause 0x1 global_load_b32 v4, v3, s[0:1] global_load_b32 v0, v3, s[2:3] ds_load_b32 v5, v3 s_waitcnt vmcnt(0) lgkmcnt(0) v_mad_u64_u32 v[1:2], null, v4, v5, v[0:1] ds_store_b32 v3, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v0, v3 s_waitcnt lgkmcnt(0) global_store_b32 v3, v0, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z27Calculate_Array_With_SharedPi .amdhsa_group_segment_fixed_size 32 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 8 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 6 .amdhsa_next_free_sgpr 4 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end2: .size _Z27Calculate_Array_With_SharedPi, .Lfunc_end2-_Z27Calculate_Array_With_SharedPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z16Manipulate_ArrayPi .globl _Z16Manipulate_ArrayPi .p2align 8 .type _Z16Manipulate_ArrayPi,@function _Z16Manipulate_ArrayPi: s_load_b64 s[0:1], s[0:1], 0x0 v_lshlrev_b32_e32 v0, 2, v0 s_waitcnt lgkmcnt(0) global_load_b32 v1, v0, s[0:1] s_waitcnt vmcnt(0) v_lshl_or_b32 v1, v1, 4, 1 global_store_b32 v0, v1, s[0:1] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z16Manipulate_ArrayPi .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 8 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 2 .amdhsa_next_free_sgpr 2 .amdhsa_reserve_vcc 0 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end3: .size _Z16Manipulate_ArrayPi, .Lfunc_end3-_Z16Manipulate_ArrayPi .section .AMDGPU.csdata,"",@progbits .text .protected _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .globl _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .p2align 8 .type _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm,@function _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm: s_load_b256 s[0:7], s[0:1], 0x0 v_not_b32_e32 v1, v0 v_lshlrev_b32_e32 v0, 2, v0 v_mov_b32_e32 v2, -1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv v_lshlrev_b64 v[1:2], 2, v[1:2] s_lshl_b64 s[6:7], s[6:7], 2 s_lshl_b32 s8, s2, 2 s_add_u32 s6, s6, s4 s_addc_u32 s7, s7, s5 s_lshl_b64 s[2:3], s[2:3], 2 v_add_co_u32 v3, vcc_lo, s6, v1 s_add_u32 s2, s2, s0 v_add_co_ci_u32_e32 v4, vcc_lo, s7, v2, vcc_lo s_addc_u32 s3, s3, s1 v_add_co_u32 v1, vcc_lo, s2, v1 v_add_co_ci_u32_e32 v2, vcc_lo, s3, v2, vcc_lo global_load_b32 v3, v[3:4], off global_load_b32 v1, v[1:2], off s_waitcnt vmcnt(1) v_cvt_i32_f32_e32 v2, v3 s_waitcnt vmcnt(0) v_cvt_f32_i32_e32 v1, v1 s_delay_alu instid0(VALU_DEP_1) v_dual_add_f32 v1, v1, v1 :: v_dual_lshlrev_b32 v2, 1, v2 v_add_nc_u32_e32 v3, 0, v0 v_add3_u32 v4, 0, s8, v0 ds_store_b32 v3, v2 ds_store_b32 v4, v1 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv ds_load_b32 v1, v3 ds_load_b32 v2, v4 s_waitcnt lgkmcnt(1) global_store_b32 v0, v1, s[0:1] s_waitcnt lgkmcnt(0) global_store_b32 v0, v2, s[4:5] s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .amdhsa_group_segment_fixed_size 0 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 32 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 5 .amdhsa_next_free_sgpr 9 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end4: .size _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm, .Lfunc_end4-_Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type _ZL5b_dev,@object .section .rodata.cst32,"aM",@progbits,32 .p2align 4, 0x0 _ZL5b_dev: .long 101 .long 102 .long 103 .long 104 .long 105 .long 106 .long 107 .long 108 .size _ZL5b_dev, 32 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: hidden_block_count_x - .offset: 12 .size: 4 .value_kind: hidden_block_count_y - .offset: 16 .size: 4 .value_kind: hidden_block_count_z - .offset: 20 .size: 2 .value_kind: hidden_group_size_x - .offset: 22 .size: 2 .value_kind: hidden_group_size_y - .offset: 24 .size: 2 .value_kind: hidden_group_size_z - .offset: 26 .size: 2 .value_kind: hidden_remainder_x - .offset: 28 .size: 2 .value_kind: hidden_remainder_y - .offset: 30 .size: 2 .value_kind: hidden_remainder_z - .offset: 48 .size: 8 .value_kind: hidden_global_offset_x - .offset: 56 .size: 8 .value_kind: hidden_global_offset_y - .offset: 64 .size: 8 .value_kind: hidden_global_offset_z - .offset: 72 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 264 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z12Hanon_kernelPi .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z12Hanon_kernelPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 3 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 4 .value_kind: hidden_block_count_x - .offset: 12 .size: 4 .value_kind: hidden_block_count_y - .offset: 16 .size: 4 .value_kind: hidden_block_count_z - .offset: 20 .size: 2 .value_kind: hidden_group_size_x - .offset: 22 .size: 2 .value_kind: hidden_group_size_y - .offset: 24 .size: 2 .value_kind: hidden_group_size_z - .offset: 26 .size: 2 .value_kind: hidden_remainder_x - .offset: 28 .size: 2 .value_kind: hidden_remainder_y - .offset: 30 .size: 2 .value_kind: hidden_remainder_z - .offset: 48 .size: 8 .value_kind: hidden_global_offset_x - .offset: 56 .size: 8 .value_kind: hidden_global_offset_y - .offset: 64 .size: 8 .value_kind: hidden_global_offset_z - .offset: 72 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 264 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z15Hanon_kernel_14Pi .private_segment_fixed_size: 0 .sgpr_count: 18 .sgpr_spill_count: 0 .symbol: _Z15Hanon_kernel_14Pi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 5 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 32 .kernarg_segment_align: 8 .kernarg_segment_size: 8 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z27Calculate_Array_With_SharedPi .private_segment_fixed_size: 0 .sgpr_count: 4 .sgpr_spill_count: 0 .symbol: _Z27Calculate_Array_With_SharedPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 6 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 8 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z16Manipulate_ArrayPi .private_segment_fixed_size: 0 .sgpr_count: 2 .sgpr_spill_count: 0 .symbol: _Z16Manipulate_ArrayPi.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 2 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .offset: 8 .size: 8 .value_kind: by_value - .address_space: global .offset: 16 .size: 8 .value_kind: global_buffer - .offset: 24 .size: 8 .value_kind: by_value .group_segment_fixed_size: 0 .kernarg_segment_align: 8 .kernarg_segment_size: 32 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm .private_segment_fixed_size: 0 .sgpr_count: 11 .sgpr_spill_count: 0 .symbol: _Z50Reverse_And_Multiply_Two_Arrays_With_Extern_SharedPimPfm.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 5 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <thrust/host_vector.h> #include <thrust/device_vector.h> #include <thrust/generate.h> #include <thrust/sort.h> #include <thrust/copy.h> #include <algorithm> #include <cstdlib> #include <iostream> int main(void) { // generate 32M random numbers serially thrust::host_vector<int> h_vec(32 << 20); std::generate(h_vec.begin(), h_vec.end(), rand); thrust::host_vector<int> h_check = h_vec; // transfer data to the device thrust::device_vector<int> d_vec = h_vec; // transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); uint8_t flag = 0; for ( size_t i = 0; i < h_vec.size(); i++ ) if ( h_vec[ i ] != h_check[ i ] ) { std::cerr << "Vector check error!\n"; flag = 1; break; } if ( flag == 0 ) std::cout << "Vector check OK!\n"; // sort data on the device (846M keys per second on GeForce GTX 480) thrust::sort(d_vec.begin(), d_vec.end()); // transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); return 0; }	#include <hip/hip_runtime.h> #include <thrust/host_vector.h> #include <thrust/device_vector.h> #include <thrust/generate.h> #include <thrust/sort.h> #include <thrust/copy.h> #include <algorithm> #include <cstdlib> #include <iostream> int main(void) { // generate 32M random numbers serially thrust::host_vector<int> h_vec(32 << 20); std::generate(h_vec.begin(), h_vec.end(), rand); thrust::host_vector<int> h_check = h_vec; // transfer data to the device thrust::device_vector<int> d_vec = h_vec; // transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); uint8_t flag = 0; for ( size_t i = 0; i < h_vec.size(); i++ ) if ( h_vec[ i ] != h_check[ i ] ) { std::cerr << "Vector check error!\n"; flag = 1; break; } if ( flag == 0 ) std::cout << "Vector check OK!\n"; // sort data on the device (846M keys per second on GeForce GTX 480) thrust::sort(d_vec.begin(), d_vec.end()); // transfer data back to host thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); return 0; }
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }	code for sm_80 Function : _Z10OPT_1_HISTPiS_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R6, SR_TID.X ; / 0x0000000000067919 / / 0x000e220000002100 / /0020/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc60000000a00 / /0030/ S2R R9, SR_CTAID.X ; / 0x0000000000097919 / / 0x000e620000002500 / /0040/ ISETP.NE.AND P0, PT, R6, RZ, PT ; / 0x000000ff0600720c / / 0x001fe20003f05270 / /0050/ IMAD.MOV.U32 R0, RZ, RZ, R6 ; / 0x000000ffff007224 / / 0x000fd800078e0006 / /0060/ @!P0 STS [RZ], RZ ; / 0x000000ffff008388 / / 0x000fe80000000800 / /0070/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0080/ ISETP.GE.AND P0, PT, R9, c[0x0][0x170], PT ; / 0x00005c0009007a0c / / 0x002fc80003f06270 / /0090/ ISETP.GE.OR P1, PT, R0, c[0x0][0x170], P0 ; / 0x00005c0000007a0c / / 0x000fda0000726670 / /00a0/ @P1 BRA 0x320 ; / 0x0000027000001947 / / 0x000fea0003800000 / /00b0/ ISETP.LT.AND P1, PT, RZ, c[0x0][0x170], PT ; / 0x00005c00ff007a0c / / 0x000fda0003f21270 / /00c0/ @P1 BRA 0x170 ; / 0x000000a000001947 / / 0x000fea0003800000 / /00d0/ ISETP.NE.AND P1, PT, R9, R0, PT ; / 0x000000000900720c / / 0x000fe20003f25270 / /00e0/ YIELD ; / 0x0000000000007946 / / 0x000fe20003800000 / /00f0/ IADD3 R0, R0, c[0x0][0x0], RZ ; / 0x0000000000007a10 / / 0x000fe20007ffe0ff / /0100/ BSSY B0, 0x150 ; / 0x0000004000007945 / / 0x000fe60003800000 / /0110/ ISETP.GE.AND P2, PT, R0, c[0x0][0x170], PT ; / 0x00005c0000007a0c / / 0x000fce0003f46270 / /0120/ @P1 BRA 0x140 ; / 0x0000001000001947 / / 0x000fea0003800000 / /0130/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe4000d00003f / /0140/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0150/ @!P2 BRA 0xd0 ; / 0xffffff700000a947 / / 0x000fea000383ffff / /0160/ BRA 0x320 ; / 0x000001b000007947 / / 0x000fea0003800000 / /0170/ ISETP.NE.AND P1, PT, R9, R0, PT ; / 0x000000000900720c / / 0x000fe20003f25270 / /0180/ YIELD ; / 0x0000000000007946 / / 0x000fe20003800000 / /0190/ BSSY B0, 0x2f0 ; / 0x0000015000007945 / / 0x000ff60003800000 / /01a0/ @!P1 BRA 0x2d0 ; / 0x0000012000009947 / / 0x000fea0003800000 / /01b0/ BSSY B1, 0x2b0 ; / 0x000000f000017945 / / 0x000fe20003800000 / /01c0/ IMAD.MOV.U32 R7, RZ, RZ, RZ ; / 0x000000ffff077224 / / 0x000fc400078e00ff / /01d0/ IMAD.MOV.U32 R5, RZ, RZ, 0x4 ; / 0x00000004ff057424 / / 0x000fe400078e00ff / /01e0/ IMAD R2, R9, c[0x0][0x170], R7 ; / 0x00005c0009027a24 / / 0x000fc400078e0207 / /01f0/ IMAD R4, R0, c[0x0][0x170], R7 ; / 0x00005c0000047a24 / / 0x000fe400078e0207 / /0200/ IMAD.WIDE R2, R2, R5, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fc800078e0205 / /0210/ IMAD.WIDE R4, R4, R5, c[0x0][0x160] ; / 0x0000580004047625 / / 0x000fe400078e0205 / /0220/ LDG.E R3, [R2.64] ; / 0x0000000402037981 / / 0x000ea8000c1e1900 / /0230/ LDG.E R4, [R4.64] ; / 0x0000000404047981 / / 0x000ea4000c1e1900 / /0240/ ISETP.NE.AND P1, PT, R3, R4, PT ; / 0x000000040300720c / / 0x004fda0003f25270 / /0250/ @P1 BREAK B1 ; / 0x0000000000011942 / / 0x000fe20003800000 / /0260/ @P1 BRA 0x2e0 ; / 0x0000007000001947 / / 0x000fea0003800000 / /0270/ IADD3 R7, R7, 0x1, RZ ; / 0x0000000107077810 / / 0x000fc80007ffe0ff / /0280/ ISETP.GE.AND P1, PT, R7, c[0x0][0x170], PT ; / 0x00005c0007007a0c / / 0x000fda0003f26270 / /0290/ @!P1 BRA 0x1d0 ; / 0xffffff3000009947 / / 0x000fea000383ffff / /02a0/ BSYNC B1 ; / 0x0000000000017941 / / 0x000fea0003800000 / /02b0/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe2000d00003f / /02c0/ BRA 0x2e0 ; / 0x0000001000007947 / / 0x000fea0003800000 / /02d0/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe4000d00003f / /02e0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /02f0/ IADD3 R0, R0, c[0x0][0x0], RZ ; / 0x0000000000007a10 / / 0x000fc80007ffe0ff / /0300/ ISETP.GE.AND P1, PT, R0, c[0x0][0x170], PT ; / 0x00005c0000007a0c / / 0x000fda0003f26270 / /0310/ @!P1 BRA 0x170 ; / 0xfffffe5000009947 / / 0x000fea000383ffff / /0320/ WARPSYNC 0xffffffff ; / 0xffffffff00007948 / / 0x000fe40003800000 / /0330/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0340/ ISETP.NE.OR P0, PT, R6, RZ, P0 ; / 0x000000ff0600720c / / 0x000fca0000705670 / /0350/ LDS R2, [RZ] ; / 0x00000000ff027984 / / 0x000e240000000800 / /0360/ ISETP.LT.OR P0, PT, R2, 0x1, P0 ; / 0x000000010200780c / / 0x001fda0000701670 / /0370/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0380/ S2R R0, SR_LANEID ; / 0x0000000000007919 / / 0x000e220000000000 / /0390/ VOTEU.ANY UR6, UPT, PT ; / 0x0000000000067886 / / 0x000fe200038e0100 / /03a0/ IMAD.MOV.U32 R3, RZ, RZ, 0x4 ; / 0x00000004ff037424 / / 0x000fe200078e00ff / /03b0/ UFLO.U32 UR7, UR6 ; / 0x00000006000772bd / / 0x000fe200080e0000 / /03c0/ POPC R5, UR6 ; / 0x0000000600057d09 / / 0x000e640008000000 / /03d0/ IMAD.WIDE R2, R2, R3, c[0x0][0x168] ; / 0x00005a0002027625 / / 0x000fc600078e0203 / /03e0/ ISETP.EQ.U32.AND P0, PT, R0, UR7, PT ; / 0x0000000700007c0c / / 0x001fda000bf02070 / /03f0/ @P0 RED.E.ADD.STRONG.GPU [R2.64], R5 ; / 0x000000050200098e / / 0x002fe2000c10e184 / /0400/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0410/ BRA 0x410; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0420/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0430/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0440/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0450/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0460/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0470/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0480/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0490/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }	.file "tmpxft_0012104b_00000000-6_OPT_1_HIST.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i .type _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i, @function _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i: .LFB2051: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movl %edx, 12(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 120(%rsp), %rax subq %fs:40, %rax jne .L8 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10OPT_1_HISTPiS_i(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i, .-_Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i .globl _Z10OPT_1_HISTPiS_i .type _Z10OPT_1_HISTPiS_i, @function _Z10OPT_1_HISTPiS_i: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z10OPT_1_HISTPiS_i, .-_Z10OPT_1_HISTPiS_i .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z10OPT_1_HISTPiS_i" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z10OPT_1_HISTPiS_i(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }	#include <hip/hip_runtime.h> #include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.	#include <hip/hip_runtime.h> #include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10OPT_1_HISTPiS_i .globl _Z10OPT_1_HISTPiS_i .p2align 8 .type _Z10OPT_1_HISTPiS_i,@function _Z10OPT_1_HISTPiS_i: v_cmp_eq_u32_e64 s2, 0, v0 s_delay_alu instid0(VALU_DEP_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_2 v_mov_b32_e32 v1, 0 ds_store_b32 v1, v1 .LBB0_2: s_or_b32 exec_lo, exec_lo, s3 s_load_b32 s10, s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv v_cmp_gt_i32_e32 vcc_lo, s10, v0 s_cmp_lt_i32 s15, s10 s_cselect_b32 s3, -1, 0 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_and_b32 s4, s3, vcc_lo s_and_saveexec_b32 s11, s4 s_cbranch_execz .LBB0_17 s_clause 0x1 s_load_b32 s8, s[0:1], 0x24 s_load_b64 s[4:5], s[0:1], 0x0 s_cmp_gt_i32 s10, 0 s_mul_i32 s6, s15, s10 v_mul_lo_u32 v1, v0, s10 s_cselect_b32 s13, -1, 0 s_ashr_i32 s7, s6, 31 v_mov_b32_e32 v4, 0 s_lshl_b64 s[6:7], s[6:7], 2 s_mov_b32 s12, 0 s_waitcnt lgkmcnt(0) s_and_b32 s14, s8, 0xffff s_add_u32 s6, s4, s6 s_mul_i32 s16, s10, s14 s_addc_u32 s7, s5, s7 s_branch .LBB0_5 .LBB0_4: s_or_b32 exec_lo, exec_lo, s8 v_add_nc_u32_e32 v0, s14, v0 v_add_nc_u32_e32 v1, s16, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_cmp_le_i32_e32 vcc_lo, s10, v0 s_or_b32 s12, vcc_lo, s12 s_and_not1_b32 exec_lo, exec_lo, s12 s_cbranch_execz .LBB0_17 .LBB0_5: s_mov_b32 s9, -1 s_mov_b32 s17, exec_lo v_cmpx_ne_u32_e64 s15, v0 s_cbranch_execz .LBB0_14 s_and_b32 vcc_lo, exec_lo, s13 s_cbranch_vccz .LBB0_12 v_ashrrev_i32_e32 v2, 31, v1 s_mov_b32 s18, 0 s_mov_b64 s[8:9], s[6:7] s_mov_b32 s20, s10 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[2:3], 2, v[1:2] v_add_co_u32 v2, vcc_lo, s4, v2 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v3, vcc_lo, s5, v3, vcc_lo s_set_inst_prefetch_distance 0x1 s_branch .LBB0_9 .p2align 6 .LBB0_8: s_or_b32 exec_lo, exec_lo, s23 s_xor_b32 s23, s21, -1 s_and_b32 s24, exec_lo, s22 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) s_or_b32 s18, s24, s18 s_and_not1_b32 s19, s19, exec_lo s_and_b32 s23, s23, exec_lo s_or_b32 s19, s19, s23 s_and_not1_b32 exec_lo, exec_lo, s18 s_cbranch_execz .LBB0_11 .LBB0_9: global_load_b32 v5, v[2:3], off s_load_b32 s23, s[8:9], 0x0 s_or_b32 s21, s21, exec_lo s_or_b32 s22, s22, exec_lo s_waitcnt vmcnt(0) lgkmcnt(0) v_cmp_eq_u32_e32 vcc_lo, s23, v5 s_and_saveexec_b32 s23, vcc_lo s_cbranch_execz .LBB0_8 s_add_i32 s20, s20, -1 s_add_u32 s8, s8, 4 s_addc_u32 s9, s9, 0 s_cmp_eq_u32 s20, 0 v_add_co_u32 v2, vcc_lo, v2, 4 s_cselect_b32 s24, -1, 0 v_add_co_ci_u32_e32 v3, vcc_lo, 0, v3, vcc_lo s_and_not1_b32 s22, s22, exec_lo s_and_b32 s24, s24, exec_lo s_and_not1_b32 s21, s21, exec_lo s_or_b32 s22, s22, s24 s_branch .LBB0_8 .LBB0_11: s_set_inst_prefetch_distance 0x2 s_or_b32 exec_lo, exec_lo, s18 s_branch .LBB0_13 .LBB0_12: s_mov_b32 s19, 0 .LBB0_13: s_delay_alu instid0(SALU_CYCLE_1) s_or_not1_b32 s9, s19, exec_lo .LBB0_14: s_or_b32 exec_lo, exec_lo, s17 s_and_saveexec_b32 s8, s9 s_cbranch_execz .LBB0_4 s_mov_b32 s9, exec_lo s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mbcnt_lo_u32_b32 v2, s9, 0 v_cmp_eq_u32_e32 vcc_lo, 0, v2 s_and_b32 s17, exec_lo, vcc_lo s_delay_alu instid0(SALU_CYCLE_1) s_mov_b32 exec_lo, s17 s_cbranch_execz .LBB0_4 s_bcnt1_i32_b32 s9, s9 s_delay_alu instid0(SALU_CYCLE_1) v_mov_b32_e32 v2, s9 ds_add_u32 v4, v2 s_branch .LBB0_4 .LBB0_17: s_or_b32 exec_lo, exec_lo, s11 v_mov_b32_e32 v0, 0 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv s_and_b32 s2, s2, s3 ds_load_b32 v0, v0 s_waitcnt lgkmcnt(0) v_readfirstlane_b32 s4, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) s_cmp_gt_i32 s4, 0 s_cselect_b32 s3, -1, 0 s_and_b32 s2, s2, s3 s_delay_alu instid0(SALU_CYCLE_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_20 s_mov_b32 s2, exec_lo s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mbcnt_lo_u32_b32 v1, s2, 0 v_cmp_eq_u32_e32 vcc_lo, 0, v1 s_and_b32 s3, exec_lo, vcc_lo s_delay_alu instid0(SALU_CYCLE_1) s_mov_b32 exec_lo, s3 s_cbranch_execz .LBB0_20 s_load_b64 s[0:1], s[0:1], 0x8 s_bcnt1_i32_b32 s2, s2 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_dual_mov_b32 v1, 0 :: v_dual_mov_b32 v2, s2 v_lshlrev_b64 v[0:1], 2, v[0:1] s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v0, vcc_lo, s0, v0 v_add_co_ci_u32_e32 v1, vcc_lo, s1, v1, vcc_lo global_atomic_add_u32 v[0:1], v2, off .LBB0_20: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z10OPT_1_HISTPiS_i .amdhsa_group_segment_fixed_size 4 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 280 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 6 .amdhsa_next_free_sgpr 25 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z10OPT_1_HISTPiS_i, .Lfunc_end0-_Z10OPT_1_HISTPiS_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: by_value - .offset: 24 .size: 4 .value_kind: hidden_block_count_x - .offset: 28 .size: 4 .value_kind: hidden_block_count_y - .offset: 32 .size: 4 .value_kind: hidden_block_count_z - .offset: 36 .size: 2 .value_kind: hidden_group_size_x - .offset: 38 .size: 2 .value_kind: hidden_group_size_y - .offset: 40 .size: 2 .value_kind: hidden_group_size_z - .offset: 42 .size: 2 .value_kind: hidden_remainder_x - .offset: 44 .size: 2 .value_kind: hidden_remainder_y - .offset: 46 .size: 2 .value_kind: hidden_remainder_z - .offset: 64 .size: 8 .value_kind: hidden_global_offset_x - .offset: 72 .size: 8 .value_kind: hidden_global_offset_y - .offset: 80 .size: 8 .value_kind: hidden_global_offset_z - .offset: 88 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 4 .kernarg_segment_align: 8 .kernarg_segment_size: 280 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z10OPT_1_HISTPiS_i .private_segment_fixed_size: 0 .sgpr_count: 27 .sgpr_spill_count: 0 .symbol: _Z10OPT_1_HISTPiS_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 6 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include "includes.h" __global__ void OPT_1_HIST(int* lcm, int* hist, int n) { // int vertex = blockIdx.x; int vcomp = threadIdx.x; bool equal; // __shared__ int cval; // if(vcomp == 0) cval = 0; __syncthreads(); // if(vertex < n && vcomp < n) for(int i = vcomp; i < n; i += blockDim.x) { if(vertex == i) { atomicAdd(&cval, 1); continue; } equal = false; for(int j = 0; j < n; j++) { if(lcm[vertexn + j] == lcm[in + j]) equal = true; else { equal = false; break; } } if(equal) atomicAdd(&cval, 1); } __syncthreads(); if(vertex < n && vcomp == 0 && cval > 0) { atomicAdd(&hist[cval], 1); //printf("\nv%d: %d\n", vertex, cval); } }	.text .file "OPT_1_HIST.hip" .globl _Z25__device_stub__OPT_1_HISTPiS_i # -- Begin function _Z25__device_stub__OPT_1_HISTPiS_i .p2align 4, 0x90 .type _Z25__device_stub__OPT_1_HISTPiS_i,@function _Z25__device_stub__OPT_1_HISTPiS_i: # @_Z25__device_stub__OPT_1_HISTPiS_i .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movl %edx, 12(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10OPT_1_HISTPiS_i, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end0: .size _Z25__device_stub__OPT_1_HISTPiS_i, .Lfunc_end0-_Z25__device_stub__OPT_1_HISTPiS_i .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10OPT_1_HISTPiS_i, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z10OPT_1_HISTPiS_i,@object # @_Z10OPT_1_HISTPiS_i .section .rodata,"a",@progbits .globl _Z10OPT_1_HISTPiS_i .p2align 3, 0x0 _Z10OPT_1_HISTPiS_i: .quad _Z25__device_stub__OPT_1_HISTPiS_i .size _Z10OPT_1_HISTPiS_i, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z10OPT_1_HISTPiS_i" .size .L__unnamed_1, 20 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__OPT_1_HISTPiS_i .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10OPT_1_HISTPiS_i .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.	code for sm_80 Function : _Z10OPT_1_HISTPiS_i .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fe400078e00ff / /0010/ S2R R6, SR_TID.X ; / 0x0000000000067919 / / 0x000e220000002100 / /0020/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fc60000000a00 / /0030/ S2R R9, SR_CTAID.X ; / 0x0000000000097919 / / 0x000e620000002500 / /0040/ ISETP.NE.AND P0, PT, R6, RZ, PT ; / 0x000000ff0600720c / / 0x001fe20003f05270 / /0050/ IMAD.MOV.U32 R0, RZ, RZ, R6 ; / 0x000000ffff007224 / / 0x000fd800078e0006 / /0060/ @!P0 STS [RZ], RZ ; / 0x000000ffff008388 / / 0x000fe80000000800 / /0070/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0080/ ISETP.GE.AND P0, PT, R9, c[0x0][0x170], PT ; / 0x00005c0009007a0c / / 0x002fc80003f06270 / /0090/ ISETP.GE.OR P1, PT, R0, c[0x0][0x170], P0 ; / 0x00005c0000007a0c / / 0x000fda0000726670 / /00a0/ @P1 BRA 0x320 ; / 0x0000027000001947 / / 0x000fea0003800000 / /00b0/ ISETP.LT.AND P1, PT, RZ, c[0x0][0x170], PT ; / 0x00005c00ff007a0c / / 0x000fda0003f21270 / /00c0/ @P1 BRA 0x170 ; / 0x000000a000001947 / / 0x000fea0003800000 / /00d0/ ISETP.NE.AND P1, PT, R9, R0, PT ; / 0x000000000900720c / / 0x000fe20003f25270 / /00e0/ YIELD ; / 0x0000000000007946 / / 0x000fe20003800000 / /00f0/ IADD3 R0, R0, c[0x0][0x0], RZ ; / 0x0000000000007a10 / / 0x000fe20007ffe0ff / /0100/ BSSY B0, 0x150 ; / 0x0000004000007945 / / 0x000fe60003800000 / /0110/ ISETP.GE.AND P2, PT, R0, c[0x0][0x170], PT ; / 0x00005c0000007a0c / / 0x000fce0003f46270 / /0120/ @P1 BRA 0x140 ; / 0x0000001000001947 / / 0x000fea0003800000 / /0130/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe4000d00003f / /0140/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /0150/ @!P2 BRA 0xd0 ; / 0xffffff700000a947 / / 0x000fea000383ffff / /0160/ BRA 0x320 ; / 0x000001b000007947 / / 0x000fea0003800000 / /0170/ ISETP.NE.AND P1, PT, R9, R0, PT ; / 0x000000000900720c / / 0x000fe20003f25270 / /0180/ YIELD ; / 0x0000000000007946 / / 0x000fe20003800000 / /0190/ BSSY B0, 0x2f0 ; / 0x0000015000007945 / / 0x000ff60003800000 / /01a0/ @!P1 BRA 0x2d0 ; / 0x0000012000009947 / / 0x000fea0003800000 / /01b0/ BSSY B1, 0x2b0 ; / 0x000000f000017945 / / 0x000fe20003800000 / /01c0/ IMAD.MOV.U32 R7, RZ, RZ, RZ ; / 0x000000ffff077224 / / 0x000fc400078e00ff / /01d0/ IMAD.MOV.U32 R5, RZ, RZ, 0x4 ; / 0x00000004ff057424 / / 0x000fe400078e00ff / /01e0/ IMAD R2, R9, c[0x0][0x170], R7 ; / 0x00005c0009027a24 / / 0x000fc400078e0207 / /01f0/ IMAD R4, R0, c[0x0][0x170], R7 ; / 0x00005c0000047a24 / / 0x000fe400078e0207 / /0200/ IMAD.WIDE R2, R2, R5, c[0x0][0x160] ; / 0x0000580002027625 / / 0x000fc800078e0205 / /0210/ IMAD.WIDE R4, R4, R5, c[0x0][0x160] ; / 0x0000580004047625 / / 0x000fe400078e0205 / /0220/ LDG.E R3, [R2.64] ; / 0x0000000402037981 / / 0x000ea8000c1e1900 / /0230/ LDG.E R4, [R4.64] ; / 0x0000000404047981 / / 0x000ea4000c1e1900 / /0240/ ISETP.NE.AND P1, PT, R3, R4, PT ; / 0x000000040300720c / / 0x004fda0003f25270 / /0250/ @P1 BREAK B1 ; / 0x0000000000011942 / / 0x000fe20003800000 / /0260/ @P1 BRA 0x2e0 ; / 0x0000007000001947 / / 0x000fea0003800000 / /0270/ IADD3 R7, R7, 0x1, RZ ; / 0x0000000107077810 / / 0x000fc80007ffe0ff / /0280/ ISETP.GE.AND P1, PT, R7, c[0x0][0x170], PT ; / 0x00005c0007007a0c / / 0x000fda0003f26270 / /0290/ @!P1 BRA 0x1d0 ; / 0xffffff3000009947 / / 0x000fea000383ffff / /02a0/ BSYNC B1 ; / 0x0000000000017941 / / 0x000fea0003800000 / /02b0/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe2000d00003f / /02c0/ BRA 0x2e0 ; / 0x0000001000007947 / / 0x000fea0003800000 / /02d0/ ATOMS.POPC.INC.32 RZ, [URZ] ; / 0x00000000ffff7f8c / / 0x000fe4000d00003f / /02e0/ BSYNC B0 ; / 0x0000000000007941 / / 0x000fea0003800000 / /02f0/ IADD3 R0, R0, c[0x0][0x0], RZ ; / 0x0000000000007a10 / / 0x000fc80007ffe0ff / /0300/ ISETP.GE.AND P1, PT, R0, c[0x0][0x170], PT ; / 0x00005c0000007a0c / / 0x000fda0003f26270 / /0310/ @!P1 BRA 0x170 ; / 0xfffffe5000009947 / / 0x000fea000383ffff / /0320/ WARPSYNC 0xffffffff ; / 0xffffffff00007948 / / 0x000fe40003800000 / /0330/ BAR.SYNC.DEFER_BLOCKING 0x0 ; / 0x0000000000007b1d / / 0x000fe20000010000 / /0340/ ISETP.NE.OR P0, PT, R6, RZ, P0 ; / 0x000000ff0600720c / / 0x000fca0000705670 / /0350/ LDS R2, [RZ] ; / 0x00000000ff027984 / / 0x000e240000000800 / /0360/ ISETP.LT.OR P0, PT, R2, 0x1, P0 ; / 0x000000010200780c / / 0x001fda0000701670 / /0370/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0380/ S2R R0, SR_LANEID ; / 0x0000000000007919 / / 0x000e220000000000 / /0390/ VOTEU.ANY UR6, UPT, PT ; / 0x0000000000067886 / / 0x000fe200038e0100 / /03a0/ IMAD.MOV.U32 R3, RZ, RZ, 0x4 ; / 0x00000004ff037424 / / 0x000fe200078e00ff / /03b0/ UFLO.U32 UR7, UR6 ; / 0x00000006000772bd / / 0x000fe200080e0000 / /03c0/ POPC R5, UR6 ; / 0x0000000600057d09 / / 0x000e640008000000 / /03d0/ IMAD.WIDE R2, R2, R3, c[0x0][0x168] ; / 0x00005a0002027625 / / 0x000fc600078e0203 / /03e0/ ISETP.EQ.U32.AND P0, PT, R0, UR7, PT ; / 0x0000000700007c0c / / 0x001fda000bf02070 / /03f0/ @P0 RED.E.ADD.STRONG.GPU [R2.64], R5 ; / 0x000000050200098e / / 0x002fe2000c10e184 / /0400/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0410/ BRA 0x410; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0420/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0430/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0440/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0450/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0460/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0470/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0480/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0490/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /04f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........	.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10OPT_1_HISTPiS_i .globl _Z10OPT_1_HISTPiS_i .p2align 8 .type _Z10OPT_1_HISTPiS_i,@function _Z10OPT_1_HISTPiS_i: v_cmp_eq_u32_e64 s2, 0, v0 s_delay_alu instid0(VALU_DEP_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_2 v_mov_b32_e32 v1, 0 ds_store_b32 v1, v1 .LBB0_2: s_or_b32 exec_lo, exec_lo, s3 s_load_b32 s10, s[0:1], 0x10 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv v_cmp_gt_i32_e32 vcc_lo, s10, v0 s_cmp_lt_i32 s15, s10 s_cselect_b32 s3, -1, 0 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(SALU_CYCLE_1) s_and_b32 s4, s3, vcc_lo s_and_saveexec_b32 s11, s4 s_cbranch_execz .LBB0_17 s_clause 0x1 s_load_b32 s8, s[0:1], 0x24 s_load_b64 s[4:5], s[0:1], 0x0 s_cmp_gt_i32 s10, 0 s_mul_i32 s6, s15, s10 v_mul_lo_u32 v1, v0, s10 s_cselect_b32 s13, -1, 0 s_ashr_i32 s7, s6, 31 v_mov_b32_e32 v4, 0 s_lshl_b64 s[6:7], s[6:7], 2 s_mov_b32 s12, 0 s_waitcnt lgkmcnt(0) s_and_b32 s14, s8, 0xffff s_add_u32 s6, s4, s6 s_mul_i32 s16, s10, s14 s_addc_u32 s7, s5, s7 s_branch .LBB0_5 .LBB0_4: s_or_b32 exec_lo, exec_lo, s8 v_add_nc_u32_e32 v0, s14, v0 v_add_nc_u32_e32 v1, s16, v1 s_delay_alu instid0(VALU_DEP_2) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) v_cmp_le_i32_e32 vcc_lo, s10, v0 s_or_b32 s12, vcc_lo, s12 s_and_not1_b32 exec_lo, exec_lo, s12 s_cbranch_execz .LBB0_17 .LBB0_5: s_mov_b32 s9, -1 s_mov_b32 s17, exec_lo v_cmpx_ne_u32_e64 s15, v0 s_cbranch_execz .LBB0_14 s_and_b32 vcc_lo, exec_lo, s13 s_cbranch_vccz .LBB0_12 v_ashrrev_i32_e32 v2, 31, v1 s_mov_b32 s18, 0 s_mov_b64 s[8:9], s[6:7] s_mov_b32 s20, s10 s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_lshlrev_b64 v[2:3], 2, v[1:2] v_add_co_u32 v2, vcc_lo, s4, v2 s_delay_alu instid0(VALU_DEP_2) v_add_co_ci_u32_e32 v3, vcc_lo, s5, v3, vcc_lo s_set_inst_prefetch_distance 0x1 s_branch .LBB0_9 .p2align 6 .LBB0_8: s_or_b32 exec_lo, exec_lo, s23 s_xor_b32 s23, s21, -1 s_and_b32 s24, exec_lo, s22 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(SKIP_2) \| instid1(SALU_CYCLE_1) s_or_b32 s18, s24, s18 s_and_not1_b32 s19, s19, exec_lo s_and_b32 s23, s23, exec_lo s_or_b32 s19, s19, s23 s_and_not1_b32 exec_lo, exec_lo, s18 s_cbranch_execz .LBB0_11 .LBB0_9: global_load_b32 v5, v[2:3], off s_load_b32 s23, s[8:9], 0x0 s_or_b32 s21, s21, exec_lo s_or_b32 s22, s22, exec_lo s_waitcnt vmcnt(0) lgkmcnt(0) v_cmp_eq_u32_e32 vcc_lo, s23, v5 s_and_saveexec_b32 s23, vcc_lo s_cbranch_execz .LBB0_8 s_add_i32 s20, s20, -1 s_add_u32 s8, s8, 4 s_addc_u32 s9, s9, 0 s_cmp_eq_u32 s20, 0 v_add_co_u32 v2, vcc_lo, v2, 4 s_cselect_b32 s24, -1, 0 v_add_co_ci_u32_e32 v3, vcc_lo, 0, v3, vcc_lo s_and_not1_b32 s22, s22, exec_lo s_and_b32 s24, s24, exec_lo s_and_not1_b32 s21, s21, exec_lo s_or_b32 s22, s22, s24 s_branch .LBB0_8 .LBB0_11: s_set_inst_prefetch_distance 0x2 s_or_b32 exec_lo, exec_lo, s18 s_branch .LBB0_13 .LBB0_12: s_mov_b32 s19, 0 .LBB0_13: s_delay_alu instid0(SALU_CYCLE_1) s_or_not1_b32 s9, s19, exec_lo .LBB0_14: s_or_b32 exec_lo, exec_lo, s17 s_and_saveexec_b32 s8, s9 s_cbranch_execz .LBB0_4 s_mov_b32 s9, exec_lo s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mbcnt_lo_u32_b32 v2, s9, 0 v_cmp_eq_u32_e32 vcc_lo, 0, v2 s_and_b32 s17, exec_lo, vcc_lo s_delay_alu instid0(SALU_CYCLE_1) s_mov_b32 exec_lo, s17 s_cbranch_execz .LBB0_4 s_bcnt1_i32_b32 s9, s9 s_delay_alu instid0(SALU_CYCLE_1) v_mov_b32_e32 v2, s9 ds_add_u32 v4, v2 s_branch .LBB0_4 .LBB0_17: s_or_b32 exec_lo, exec_lo, s11 v_mov_b32_e32 v0, 0 s_waitcnt lgkmcnt(0) s_barrier buffer_gl0_inv s_and_b32 s2, s2, s3 ds_load_b32 v0, v0 s_waitcnt lgkmcnt(0) v_readfirstlane_b32 s4, v0 s_delay_alu instid0(VALU_DEP_1) \| instskip(SKIP_1) \| instid1(SALU_CYCLE_1) s_cmp_gt_i32 s4, 0 s_cselect_b32 s3, -1, 0 s_and_b32 s2, s2, s3 s_delay_alu instid0(SALU_CYCLE_1) s_and_saveexec_b32 s3, s2 s_cbranch_execz .LBB0_20 s_mov_b32 s2, exec_lo s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_mbcnt_lo_u32_b32 v1, s2, 0 v_cmp_eq_u32_e32 vcc_lo, 0, v1 s_and_b32 s3, exec_lo, vcc_lo s_delay_alu instid0(SALU_CYCLE_1) s_mov_b32 exec_lo, s3 s_cbranch_execz .LBB0_20 s_load_b64 s[0:1], s[0:1], 0x8 s_bcnt1_i32_b32 s2, s2 s_delay_alu instid0(SALU_CYCLE_1) \| instskip(NEXT) \| instid1(VALU_DEP_1) v_dual_mov_b32 v1, 0 :: v_dual_mov_b32 v2, s2 v_lshlrev_b64 v[0:1], 2, v[0:1] s_waitcnt lgkmcnt(0) s_delay_alu instid0(VALU_DEP_1) \| instskip(NEXT) \| instid1(VALU_DEP_2) v_add_co_u32 v0, vcc_lo, s0, v0 v_add_co_ci_u32_e32 v1, vcc_lo, s1, v1, vcc_lo global_atomic_add_u32 v[0:1], v2, off .LBB0_20: s_nop 0 s_sendmsg sendmsg(MSG_DEALLOC_VGPRS) s_endpgm .section .rodata,"a",@progbits .p2align 6, 0x0 .amdhsa_kernel _Z10OPT_1_HISTPiS_i .amdhsa_group_segment_fixed_size 4 .amdhsa_private_segment_fixed_size 0 .amdhsa_kernarg_size 280 .amdhsa_user_sgpr_count 15 .amdhsa_user_sgpr_dispatch_ptr 0 .amdhsa_user_sgpr_queue_ptr 0 .amdhsa_user_sgpr_kernarg_segment_ptr 1 .amdhsa_user_sgpr_dispatch_id 0 .amdhsa_user_sgpr_private_segment_size 0 .amdhsa_wavefront_size32 1 .amdhsa_uses_dynamic_stack 0 .amdhsa_enable_private_segment 0 .amdhsa_system_sgpr_workgroup_id_x 1 .amdhsa_system_sgpr_workgroup_id_y 0 .amdhsa_system_sgpr_workgroup_id_z 0 .amdhsa_system_sgpr_workgroup_info 0 .amdhsa_system_vgpr_workitem_id 0 .amdhsa_next_free_vgpr 6 .amdhsa_next_free_sgpr 25 .amdhsa_float_round_mode_32 0 .amdhsa_float_round_mode_16_64 0 .amdhsa_float_denorm_mode_32 3 .amdhsa_float_denorm_mode_16_64 3 .amdhsa_dx10_clamp 1 .amdhsa_ieee_mode 1 .amdhsa_fp16_overflow 0 .amdhsa_workgroup_processor_mode 1 .amdhsa_memory_ordered 1 .amdhsa_forward_progress 0 .amdhsa_shared_vgpr_count 0 .amdhsa_exception_fp_ieee_invalid_op 0 .amdhsa_exception_fp_denorm_src 0 .amdhsa_exception_fp_ieee_div_zero 0 .amdhsa_exception_fp_ieee_overflow 0 .amdhsa_exception_fp_ieee_underflow 0 .amdhsa_exception_fp_ieee_inexact 0 .amdhsa_exception_int_div_zero 0 .end_amdhsa_kernel .text .Lfunc_end0: .size _Z10OPT_1_HISTPiS_i, .Lfunc_end0-_Z10OPT_1_HISTPiS_i .section .AMDGPU.csdata,"",@progbits .text .p2alignl 7, 3214868480 .fill 96, 4, 3214868480 .type __hip_cuid_,@object .section .bss,"aw",@nobits .globl __hip_cuid_ __hip_cuid_: .byte 0 .size __hip_cuid_, 1 .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __hip_cuid_ .amdgpu_metadata --- amdhsa.kernels: - .args: - .address_space: global .offset: 0 .size: 8 .value_kind: global_buffer - .address_space: global .offset: 8 .size: 8 .value_kind: global_buffer - .offset: 16 .size: 4 .value_kind: by_value - .offset: 24 .size: 4 .value_kind: hidden_block_count_x - .offset: 28 .size: 4 .value_kind: hidden_block_count_y - .offset: 32 .size: 4 .value_kind: hidden_block_count_z - .offset: 36 .size: 2 .value_kind: hidden_group_size_x - .offset: 38 .size: 2 .value_kind: hidden_group_size_y - .offset: 40 .size: 2 .value_kind: hidden_group_size_z - .offset: 42 .size: 2 .value_kind: hidden_remainder_x - .offset: 44 .size: 2 .value_kind: hidden_remainder_y - .offset: 46 .size: 2 .value_kind: hidden_remainder_z - .offset: 64 .size: 8 .value_kind: hidden_global_offset_x - .offset: 72 .size: 8 .value_kind: hidden_global_offset_y - .offset: 80 .size: 8 .value_kind: hidden_global_offset_z - .offset: 88 .size: 2 .value_kind: hidden_grid_dims .group_segment_fixed_size: 4 .kernarg_segment_align: 8 .kernarg_segment_size: 280 .language: OpenCL C .language_version: - 2 - 0 .max_flat_workgroup_size: 1024 .name: _Z10OPT_1_HISTPiS_i .private_segment_fixed_size: 0 .sgpr_count: 27 .sgpr_spill_count: 0 .symbol: _Z10OPT_1_HISTPiS_i.kd .uniform_work_group_size: 1 .uses_dynamic_stack: false .vgpr_count: 6 .vgpr_spill_count: 0 .wavefront_size: 32 .workgroup_processor_mode: 1 amdhsa.target: amdgcn-amd-amdhsa--gfx1100 amdhsa.version: - 1 - 2 ... .end_amdgpu_metadata
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0012104b_00000000-6_OPT_1_HIST.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i .type _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i, @function _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i: .LFB2051: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movl %edx, 12(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 120(%rsp), %rax subq %fs:40, %rax jne .L8 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z10OPT_1_HISTPiS_i(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i, .-_Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i .globl _Z10OPT_1_HISTPiS_i .type _Z10OPT_1_HISTPiS_i, @function _Z10OPT_1_HISTPiS_i: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z33__device_stub__Z10OPT_1_HISTPiS_iPiS_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size _Z10OPT_1_HISTPiS_i, .-_Z10OPT_1_HISTPiS_i .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z10OPT_1_HISTPiS_i" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z10OPT_1_HISTPiS_i(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "OPT_1_HIST.hip" .globl _Z25__device_stub__OPT_1_HISTPiS_i # -- Begin function _Z25__device_stub__OPT_1_HISTPiS_i .p2align 4, 0x90 .type _Z25__device_stub__OPT_1_HISTPiS_i,@function _Z25__device_stub__OPT_1_HISTPiS_i: # @_Z25__device_stub__OPT_1_HISTPiS_i .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movl %edx, 12(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $_Z10OPT_1_HISTPiS_i, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end0: .size _Z25__device_stub__OPT_1_HISTPiS_i, .Lfunc_end0-_Z25__device_stub__OPT_1_HISTPiS_i .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10OPT_1_HISTPiS_i, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z10OPT_1_HISTPiS_i,@object # @_Z10OPT_1_HISTPiS_i .section .rodata,"a",@progbits .globl _Z10OPT_1_HISTPiS_i .p2align 3, 0x0 _Z10OPT_1_HISTPiS_i: .quad _Z25__device_stub__OPT_1_HISTPiS_i .size _Z10OPT_1_HISTPiS_i, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z10OPT_1_HISTPiS_i" .size .L__unnamed_1, 20 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z25__device_stub__OPT_1_HISTPiS_i .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z10OPT_1_HISTPiS_i .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include <stdio.h> #include <stdlib.h> __device__ int d_value; // Device code: GPU function __global__ void test_Kernel() { int threadID = threadIdx.x; d_value = 1; printf("threadID %-3d d_value%3d\n", threadID, d_value); } // Host code: CPU function int main() { int h_value = 0; // kernelName<<<#block_per_grid, #thread_per_block, shared_size, s>>>(param1, ...); test_Kernel<<<1, 2>>>(); cudaMemcpyFromSymbol(&h_value, d_value, sizeof(int), 0, cudaMemcpyDeviceToHost); printf("Output from host: %d\n",h_value); return 0; }	code for sm_80 Function : _Z11test_Kernelv .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 / / 0x000fc800078e00ff / /0010/ S2R R10, SR_TID.X ; / 0x00000000000a7919 / / 0x000e220000002100 / /0020/ IADD3 R1, R1, -0x8, RZ ; / 0xfffffff801017810 / / 0x000fe20007ffe0ff / /0030/ IMAD.MOV.U32 R2, RZ, RZ, c[0x4][0x8] ; / 0x01000200ff027624 / / 0x000fe200078e00ff / /0040/ MOV R0, 0x0 ; / 0x0000000000007802 / / 0x000fe20000000f00 / /0050/ IMAD.MOV.U32 R3, RZ, RZ, c[0x4][0xc] ; / 0x01000300ff037624 / / 0x000fe200078e00ff / /0060/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fe20000000a00 / /0070/ IMAD.MOV.U32 R11, RZ, RZ, 0x1 ; / 0x00000001ff0b7424 / / 0x000fe200078e00ff / /0080/ LDC.64 R8, c[0x4][R0] ; / 0x0100000000087b82 / / 0x0002a20000000a00 / /0090/ IADD3 R6, P0, R1, c[0x0][0x20], RZ ; / 0x0000080001067a10 / / 0x000fe20007f1e0ff / /00a0/ IMAD.MOV.U32 R4, RZ, RZ, c[0x4][0x10] ; / 0x01000400ff047624 / / 0x000fe400078e00ff / /00b0/ STG.E [R2.64], R11 ; / 0x0000000b02007986 / / 0x0003e2000c101904 / /00c0/ IMAD.MOV.U32 R5, RZ, RZ, c[0x4][0x14] ; / 0x01000500ff057624 / / 0x000fc400078e00ff / /00d0/ IMAD.X R7, RZ, RZ, c[0x0][0x24], P0 ; / 0x00000900ff077624 / / 0x000fe200000e06ff / /00e0/ STL.64 [R1], R10 ; / 0x0000000a01007387 / / 0x0013e80000100a00 / /00f0/ LEPC R2 ; / 0x000000000002734e / / 0x002fe40000000000 / /0100/ MOV R11, 0x170 ; / 0x00000170000b7802 / / 0x000fe40000000f00 / /0110/ MOV R20, 0xf0 ; / 0x000000f000147802 / / 0x000fe40000000f00 / /0120/ MOV R21, 0x0 ; / 0x0000000000157802 / / 0x000fe40000000f00 / /0130/ MOV R0, 0x0 ; / 0x0000000000007802 / / 0x000fe40000000f00 / /0140/ IADD3 R20, P0, P1, -R20, R11, R2 ; / 0x0000000b14147210 / / 0x000fc8000791e102 / /0150/ IADD3.X R21, ~R0, R21, R3, P0, P1 ; / 0x0000001500157210 / / 0x000fc800007e2503 / /0160/ CALL.ABS.NOINC R8 ; / 0x0000000008007343 / / 0x004fea0003c00000 / /0170/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0180/ BRA 0x180; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0200/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0210/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0220/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0230/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0240/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0250/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0260/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0270/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <stdio.h> #include <stdlib.h> __device__ int d_value; // Device code: GPU function __global__ void test_Kernel() { int threadID = threadIdx.x; d_value = 1; printf("threadID %-3d d_value%3d\n", threadID, d_value); } // Host code: CPU function int main() { int h_value = 0; // kernelName<<<#block_per_grid, #thread_per_block, shared_size, s>>>(param1, ...); test_Kernel<<<1, 2>>>(); cudaMemcpyFromSymbol(&h_value, d_value, sizeof(int), 0, cudaMemcpyDeviceToHost); printf("Output from host: %d\n",h_value); return 0; }	.file "tmpxft_00061ccf_00000000-6_deviceVariable.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z30__device_stub__Z11test_Kernelvv .type _Z30__device_stub__Z11test_Kernelvv, @function _Z30__device_stub__Z11test_Kernelvv: .LFB2082: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 72(%rsp), %rax subq %fs:40, %rax jne .L8 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z11test_Kernelv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2082: .size _Z30__device_stub__Z11test_Kernelvv, .-_Z30__device_stub__Z11test_Kernelvv .globl _Z11test_Kernelv .type _Z11test_Kernelv, @function _Z11test_Kernelv: .LFB2083: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z30__device_stub__Z11test_Kernelvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2083: .size _Z11test_Kernelv, .-_Z11test_Kernelv .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "Output from host: %d\n" .text .globl main .type main, @function main: .LFB2057: .cfi_startproc endbr64 subq $56, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl $0, 12(%rsp) movl $2, 28(%rsp) movl $1, 32(%rsp) movl $1, 16(%rsp) movl $1, 20(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L15 .L12: leaq 12(%rsp), %rdi movl $2, %r8d movl $0, %ecx movl $4, %edx leaq _ZL7d_value(%rip), %rsi call cudaMemcpyFromSymbol@PLT movl 12(%rsp), %edx leaq .LC0(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L16 movl $0, %eax addq $56, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state call _Z30__device_stub__Z11test_Kernelvv jmp .L12 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size main, .-main .section .rodata.str1.1 .LC1: .string "_Z11test_Kernelv" .LC2: .string "d_value" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2085: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq _Z11test_Kernelv(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 movl $4, %r9d movl $0, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _ZL7d_value(%rip), %rsi movq %rbx, %rdi call __cudaRegisterVar@PLT addq $16, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2085: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .local _ZL7d_value .comm _ZL7d_value,4,4 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> #include <stdlib.h> __device__ int d_value; // Device code: GPU function __global__ void test_Kernel() { int threadID = threadIdx.x; d_value = 1; printf("threadID %-3d d_value%3d\n", threadID, d_value); } // Host code: CPU function int main() { int h_value = 0; // kernelName<<<#block_per_grid, #thread_per_block, shared_size, s>>>(param1, ...); test_Kernel<<<1, 2>>>(); cudaMemcpyFromSymbol(&h_value, d_value, sizeof(int), 0, cudaMemcpyDeviceToHost); printf("Output from host: %d\n",h_value); return 0; }	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> __device__ int d_value; // Device code: GPU function __global__ void test_Kernel() { int threadID = threadIdx.x; d_value = 1; printf("threadID %-3d d_value%3d\n", threadID, d_value); } // Host code: CPU function int main() { int h_value = 0; // kernelName<<<#block_per_grid, #thread_per_block, shared_size, s>>>(param1, ...); test_Kernel<<<1, 2>>>(); hipMemcpyFromSymbol(&h_value, HIP_SYMBOL(d_value), sizeof(int), 0, hipMemcpyDeviceToHost); printf("Output from host: %d\n",h_value); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> __device__ int d_value; // Device code: GPU function __global__ void test_Kernel() { int threadID = threadIdx.x; d_value = 1; printf("threadID %-3d d_value%3d\n", threadID, d_value); } // Host code: CPU function int main() { int h_value = 0; // kernelName<<<#block_per_grid, #thread_per_block, shared_size, s>>>(param1, ...); test_Kernel<<<1, 2>>>(); hipMemcpyFromSymbol(&h_value, HIP_SYMBOL(d_value), sizeof(int), 0, hipMemcpyDeviceToHost); printf("Output from host: %d\n",h_value); return 0; }	.text .file "deviceVariable.hip" .globl _Z26__device_stub__test_Kernelv # -- Begin function _Z26__device_stub__test_Kernelv .p2align 4, 0x90 .type _Z26__device_stub__test_Kernelv,@function _Z26__device_stub__test_Kernelv: # @_Z26__device_stub__test_Kernelv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z11test_Kernelv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end0: .size _Z26__device_stub__test_Kernelv, .Lfunc_end0-_Z26__device_stub__test_Kernelv .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offset 80 movl $0, 12(%rsp) movabsq $4294967297, %rdi # imm = 0x100000001 leaq 1(%rdi), %rdx movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_2 # %bb.1: leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z11test_Kernelv, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_2: leaq 12(%rsp), %rdi movl $d_value, %esi movl $4, %edx xorl %ecx, %ecx movl $2, %r8d callq hipMemcpyFromSymbol movl 12(%rsp), %esi movl $.L.str, %edi xorl %eax, %eax callq printf xorl %eax, %eax addq $72, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z11test_Kernelv, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $0, 8(%rsp) movl $0, (%rsp) movl $d_value, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movl $4, %r9d movq %rbx, %rdi xorl %r8d, %r8d callq __hipRegisterVar movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type d_value,@object # @d_value .local d_value .comm d_value,4,4 .type _Z11test_Kernelv,@object # @_Z11test_Kernelv .section .rodata,"a",@progbits .globl _Z11test_Kernelv .p2align 3, 0x0 _Z11test_Kernelv: .quad _Z26__device_stub__test_Kernelv .size _Z11test_Kernelv, 8 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "Output from host: %d\n" .size .L.str, 22 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z11test_Kernelv" .size .L__unnamed_1, 17 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "d_value" .size .L__unnamed_2, 8 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z26__device_stub__test_Kernelv .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym d_value .addrsig_sym _Z11test_Kernelv .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_00061ccf_00000000-6_deviceVariable.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z30__device_stub__Z11test_Kernelvv .type _Z30__device_stub__Z11test_Kernelvv, @function _Z30__device_stub__Z11test_Kernelvv: .LFB2082: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 72(%rsp), %rax subq %fs:40, %rax jne .L8 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z11test_Kernelv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2082: .size _Z30__device_stub__Z11test_Kernelvv, .-_Z30__device_stub__Z11test_Kernelvv .globl _Z11test_Kernelv .type _Z11test_Kernelv, @function _Z11test_Kernelv: .LFB2083: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z30__device_stub__Z11test_Kernelvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2083: .size _Z11test_Kernelv, .-_Z11test_Kernelv .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "Output from host: %d\n" .text .globl main .type main, @function main: .LFB2057: .cfi_startproc endbr64 subq $56, %rsp .cfi_def_cfa_offset 64 movq %fs:40, %rax movq %rax, 40(%rsp) xorl %eax, %eax movl $0, 12(%rsp) movl $2, 28(%rsp) movl $1, 32(%rsp) movl $1, 16(%rsp) movl $1, 20(%rsp) movl $0, %r9d movl $0, %r8d movq 28(%rsp), %rdx movl $1, %ecx movq 16(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L15 .L12: leaq 12(%rsp), %rdi movl $2, %r8d movl $0, %ecx movl $4, %edx leaq _ZL7d_value(%rip), %rsi call cudaMemcpyFromSymbol@PLT movl 12(%rsp), %edx leaq .LC0(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 40(%rsp), %rax subq %fs:40, %rax jne .L16 movl $0, %eax addq $56, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state call _Z30__device_stub__Z11test_Kernelvv jmp .L12 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size main, .-main .section .rodata.str1.1 .LC1: .string "_Z11test_Kernelv" .LC2: .string "d_value" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2085: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq _Z11test_Kernelv(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 movl $4, %r9d movl $0, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _ZL7d_value(%rip), %rsi movq %rbx, %rdi call __cudaRegisterVar@PLT addq $16, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2085: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .local _ZL7d_value .comm _ZL7d_value,4,4 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "deviceVariable.hip" .globl _Z26__device_stub__test_Kernelv # -- Begin function _Z26__device_stub__test_Kernelv .p2align 4, 0x90 .type _Z26__device_stub__test_Kernelv,@function _Z26__device_stub__test_Kernelv: # @_Z26__device_stub__test_Kernelv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z11test_Kernelv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end0: .size _Z26__device_stub__test_Kernelv, .Lfunc_end0-_Z26__device_stub__test_Kernelv .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $72, %rsp .cfi_def_cfa_offset 80 movl $0, 12(%rsp) movabsq $4294967297, %rdi # imm = 0x100000001 leaq 1(%rdi), %rdx movl $1, %esi movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB1_2 # %bb.1: leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 64(%rsp), %r9 movl $_Z11test_Kernelv, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB1_2: leaq 12(%rsp), %rdi movl $d_value, %esi movl $4, %edx xorl %ecx, %ecx movl $2, %r8d callq hipMemcpyFromSymbol movl 12(%rsp), %esi movl $.L.str, %edi xorl %eax, %eax callq printf xorl %eax, %eax addq $72, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end1: .size main, .Lfunc_end1-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB2_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB2_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z11test_Kernelv, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $0, 8(%rsp) movl $0, (%rsp) movl $d_value, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movl $4, %r9d movq %rbx, %rdi xorl %r8d, %r8d callq __hipRegisterVar movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end2: .size __hip_module_ctor, .Lfunc_end2-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB3_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB3_2: retq .Lfunc_end3: .size __hip_module_dtor, .Lfunc_end3-__hip_module_dtor .cfi_endproc # -- End function .type d_value,@object # @d_value .local d_value .comm d_value,4,4 .type _Z11test_Kernelv,@object # @_Z11test_Kernelv .section .rodata,"a",@progbits .globl _Z11test_Kernelv .p2align 3, 0x0 _Z11test_Kernelv: .quad _Z26__device_stub__test_Kernelv .size _Z11test_Kernelv, 8 .type .L.str,@object # @.str .section .rodata.str1.1,"aMS",@progbits,1 .L.str: .asciz "Output from host: %d\n" .size .L.str, 22 .type .L__unnamed_1,@object # @0 .L__unnamed_1: .asciz "_Z11test_Kernelv" .size .L__unnamed_1, 17 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "d_value" .size .L__unnamed_2, 8 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z26__device_stub__test_Kernelv .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym d_value .addrsig_sym _Z11test_Kernelv .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/** @file processMandelbrotElement.cu * * Copyright 2010 The Mathworks, Inc. * $Revision: 1$ * $Date: 2010-11-08$ / /* Work out which piece of the global array this thread should operate on / __device__ size_t calculateGlobalIndex() { // Which block are we? size_t const globalBlockIndex = blockIdx.x + blockIdx.y gridDim.x; // Which thread are we within the block? size_t const localThreadIdx = threadIdx.x + blockDim.x * threadIdx.y; // How big is each block? size_t const threadsPerBlock = blockDim.xblockDim.y; // Which thread are we overall? return localThreadIdx + globalBlockIndexthreadsPerBlock; } /** The actual Mandelbrot algorithm for a single location / __device__ double doIterations( double const realPart0, double const imagPart0, double const escapeRadius, unsigned int const maxIters ) { // Initialise: z = z0 double const escapeRadius2 = escapeRadiusescapeRadius; double realPart = realPart0; double imagPart = imagPart0; unsigned int count = 0; // Loop until escape while ( ( count <= maxIters ) && ((realPartrealPart + imagPartimagPart) <= escapeRadius2) ) { ++count; // Update: z = zz + z0; double const oldRealPart = realPart; realPart = realPartrealPart - imagPartimagPart + realPart0; imagPart = 2.0oldRealPartimagPart + imagPart0; } // Correct final position for smooth shading double const absZ2 = ( realPartrealPart + imagPartimagPart ); if (absZ2<escapeRadius2) { return double(count) + 1.0 - log( log( escapeRadius2 ) / 2.0 ) / log(2.0); } else { return double(count) + 1.0 - log( log( absZ2 ) / 2.0 ) / log(2.0); } } /* Main entry point. * Works out where the current thread should read/write to global memory * and calls doIterations to do the actual work. / __global__ void processMandelbrotElement( double out, const double * x, const double * y, const double escapeRadius, const unsigned int maxIters, const unsigned int numel ) { // Work out which thread we are size_t const globalThreadIdx = calculateGlobalIndex(); // If we're off the end, return now if (globalThreadIdx >= numel) { return; } // Get our X and Y coords double const realPart0 = x[globalThreadIdx]; double const imagPart0 = y[globalThreadIdx]; // Run the itearations on this location double const count = doIterations( realPart0, imagPart0, escapeRadius, maxIters ); out[globalThreadIdx] = log( count ); }	.file "tmpxft_0004521d_00000000-6_mandelbrotViewerProcessElement.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2031: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2031: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z20calculateGlobalIndexv .type _Z20calculateGlobalIndexv, @function _Z20calculateGlobalIndexv: .LFB2027: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2027: .size _Z20calculateGlobalIndexv, .-_Z20calculateGlobalIndexv .globl _Z12doIterationsdddj .type _Z12doIterationsdddj, @function _Z12doIterationsdddj: .LFB2028: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2028: .size _Z12doIterationsdddj, .-_Z12doIterationsdddj .globl _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj .type _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj, @function _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj: .LFB2053: .cfi_startproc endbr64 subq $184, %rsp .cfi_def_cfa_offset 192 movq %rdi, 40(%rsp) movq %rsi, 32(%rsp) movq %rdx, 24(%rsp) movsd %xmm0, 16(%rsp) movl %ecx, 12(%rsp) movl %r8d, 8(%rsp) movq %fs:40, %rax movq %rax, 168(%rsp) xorl %eax, %eax leaq 40(%rsp), %rax movq %rax, 112(%rsp) leaq 32(%rsp), %rax movq %rax, 120(%rsp) leaq 24(%rsp), %rax movq %rax, 128(%rsp) leaq 16(%rsp), %rax movq %rax, 136(%rsp) leaq 12(%rsp), %rax movq %rax, 144(%rsp) leaq 8(%rsp), %rax movq %rax, 152(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $1, 72(%rsp) movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) leaq 56(%rsp), %rcx leaq 48(%rsp), %rdx leaq 76(%rsp), %rsi leaq 64(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L11 .L7: movq 168(%rsp), %rax subq %fs:40, %rax jne .L12 addq $184, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L11: .cfi_restore_state pushq 56(%rsp) .cfi_def_cfa_offset 200 pushq 56(%rsp) .cfi_def_cfa_offset 208 leaq 128(%rsp), %r9 movq 92(%rsp), %rcx movl 100(%rsp), %r8d movq 80(%rsp), %rsi movl 88(%rsp), %edx leaq _Z24processMandelbrotElementPdPKdS1_djj(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 192 jmp .L7 .L12: call __stack_chk_fail@PLT .cfi_endproc .LFE2053: .size _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj, .-_Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj .globl _Z24processMandelbrotElementPdPKdS1_djj .type _Z24processMandelbrotElementPdPKdS1_djj, @function _Z24processMandelbrotElementPdPKdS1_djj: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _Z24processMandelbrotElementPdPKdS1_djj, .-_Z24processMandelbrotElementPdPKdS1_djj .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC0: .string "_Z24processMandelbrotElementPdPKdS1_djj" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2056: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z24processMandelbrotElementPdPKdS1_djj(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2056: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/** @file processMandelbrotElement.cu * * Copyright 2010 The Mathworks, Inc. * $Revision: 1$ * $Date: 2010-11-08$ / /* Work out which piece of the global array this thread should operate on / __device__ size_t calculateGlobalIndex() { // Which block are we? size_t const globalBlockIndex = blockIdx.x + blockIdx.y gridDim.x; // Which thread are we within the block? size_t const localThreadIdx = threadIdx.x + blockDim.x * threadIdx.y; // How big is each block? size_t const threadsPerBlock = blockDim.xblockDim.y; // Which thread are we overall? return localThreadIdx + globalBlockIndexthreadsPerBlock; } /** The actual Mandelbrot algorithm for a single location / __device__ double doIterations( double const realPart0, double const imagPart0, double const escapeRadius, unsigned int const maxIters ) { // Initialise: z = z0 double const escapeRadius2 = escapeRadiusescapeRadius; double realPart = realPart0; double imagPart = imagPart0; unsigned int count = 0; // Loop until escape while ( ( count <= maxIters ) && ((realPartrealPart + imagPartimagPart) <= escapeRadius2) ) { ++count; // Update: z = zz + z0; double const oldRealPart = realPart; realPart = realPartrealPart - imagPartimagPart + realPart0; imagPart = 2.0oldRealPartimagPart + imagPart0; } // Correct final position for smooth shading double const absZ2 = ( realPartrealPart + imagPartimagPart ); if (absZ2<escapeRadius2) { return double(count) + 1.0 - log( log( escapeRadius2 ) / 2.0 ) / log(2.0); } else { return double(count) + 1.0 - log( log( absZ2 ) / 2.0 ) / log(2.0); } } /* Main entry point. * Works out where the current thread should read/write to global memory * and calls doIterations to do the actual work. / __global__ void processMandelbrotElement( double out, const double * x, const double * y, const double escapeRadius, const unsigned int maxIters, const unsigned int numel ) { // Work out which thread we are size_t const globalThreadIdx = calculateGlobalIndex(); // If we're off the end, return now if (globalThreadIdx >= numel) { return; } // Get our X and Y coords double const realPart0 = x[globalThreadIdx]; double const imagPart0 = y[globalThreadIdx]; // Run the itearations on this location double const count = doIterations( realPart0, imagPart0, escapeRadius, maxIters ); out[globalThreadIdx] = log( count ); }	#include <hip/hip_runtime.h> /** @file processMandelbrotElement.cu * * Copyright 2010 The Mathworks, Inc. * $Revision: 1$ * $Date: 2010-11-08$ / /* Work out which piece of the global array this thread should operate on / __device__ size_t calculateGlobalIndex() { // Which block are we? size_t const globalBlockIndex = blockIdx.x + blockIdx.y gridDim.x; // Which thread are we within the block? size_t const localThreadIdx = threadIdx.x + blockDim.x * threadIdx.y; // How big is each block? size_t const threadsPerBlock = blockDim.xblockDim.y; // Which thread are we overall? return localThreadIdx + globalBlockIndexthreadsPerBlock; } /** The actual Mandelbrot algorithm for a single location / __device__ double doIterations( double const realPart0, double const imagPart0, double const escapeRadius, unsigned int const maxIters ) { // Initialise: z = z0 double const escapeRadius2 = escapeRadiusescapeRadius; double realPart = realPart0; double imagPart = imagPart0; unsigned int count = 0; // Loop until escape while ( ( count <= maxIters ) && ((realPartrealPart + imagPartimagPart) <= escapeRadius2) ) { ++count; // Update: z = zz + z0; double const oldRealPart = realPart; realPart = realPartrealPart - imagPartimagPart + realPart0; imagPart = 2.0oldRealPartimagPart + imagPart0; } // Correct final position for smooth shading double const absZ2 = ( realPartrealPart + imagPartimagPart ); if (absZ2<escapeRadius2) { return double(count) + 1.0 - log( log( escapeRadius2 ) / 2.0 ) / log(2.0); } else { return double(count) + 1.0 - log( log( absZ2 ) / 2.0 ) / log(2.0); } } /* Main entry point. * Works out where the current thread should read/write to global memory * and calls doIterations to do the actual work. / __global__ void processMandelbrotElement( double out, const double * x, const double * y, const double escapeRadius, const unsigned int maxIters, const unsigned int numel ) { // Work out which thread we are size_t const globalThreadIdx = calculateGlobalIndex(); // If we're off the end, return now if (globalThreadIdx >= numel) { return; } // Get our X and Y coords double const realPart0 = x[globalThreadIdx]; double const imagPart0 = y[globalThreadIdx]; // Run the itearations on this location double const count = doIterations( realPart0, imagPart0, escapeRadius, maxIters ); out[globalThreadIdx] = log( count ); }
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> /** @file processMandelbrotElement.cu * * Copyright 2010 The Mathworks, Inc. * $Revision: 1$ * $Date: 2010-11-08$ / /* Work out which piece of the global array this thread should operate on / __device__ size_t calculateGlobalIndex() { // Which block are we? size_t const globalBlockIndex = blockIdx.x + blockIdx.y gridDim.x; // Which thread are we within the block? size_t const localThreadIdx = threadIdx.x + blockDim.x * threadIdx.y; // How big is each block? size_t const threadsPerBlock = blockDim.xblockDim.y; // Which thread are we overall? return localThreadIdx + globalBlockIndexthreadsPerBlock; } /** The actual Mandelbrot algorithm for a single location / __device__ double doIterations( double const realPart0, double const imagPart0, double const escapeRadius, unsigned int const maxIters ) { // Initialise: z = z0 double const escapeRadius2 = escapeRadiusescapeRadius; double realPart = realPart0; double imagPart = imagPart0; unsigned int count = 0; // Loop until escape while ( ( count <= maxIters ) && ((realPartrealPart + imagPartimagPart) <= escapeRadius2) ) { ++count; // Update: z = zz + z0; double const oldRealPart = realPart; realPart = realPartrealPart - imagPartimagPart + realPart0; imagPart = 2.0oldRealPartimagPart + imagPart0; } // Correct final position for smooth shading double const absZ2 = ( realPartrealPart + imagPartimagPart ); if (absZ2<escapeRadius2) { return double(count) + 1.0 - log( log( escapeRadius2 ) / 2.0 ) / log(2.0); } else { return double(count) + 1.0 - log( log( absZ2 ) / 2.0 ) / log(2.0); } } /* Main entry point. * Works out where the current thread should read/write to global memory * and calls doIterations to do the actual work. / __global__ void processMandelbrotElement( double out, const double * x, const double * y, const double escapeRadius, const unsigned int maxIters, const unsigned int numel ) { // Work out which thread we are size_t const globalThreadIdx = calculateGlobalIndex(); // If we're off the end, return now if (globalThreadIdx >= numel) { return; } // Get our X and Y coords double const realPart0 = x[globalThreadIdx]; double const imagPart0 = y[globalThreadIdx]; // Run the itearations on this location double const count = doIterations( realPart0, imagPart0, escapeRadius, maxIters ); out[globalThreadIdx] = log( count ); }	.text .file "mandelbrotViewerProcessElement.hip" .globl _Z39__device_stub__processMandelbrotElementPdPKdS1_djj # -- Begin function _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .p2align 4, 0x90 .type _Z39__device_stub__processMandelbrotElementPdPKdS1_djj,@function _Z39__device_stub__processMandelbrotElementPdPKdS1_djj: # @_Z39__device_stub__processMandelbrotElementPdPKdS1_djj .cfi_startproc # %bb.0: subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 88(%rsp) movq %rsi, 80(%rsp) movq %rdx, 72(%rsp) movsd %xmm0, 64(%rsp) movl %ecx, 12(%rsp) movl %r8d, 8(%rsp) leaq 88(%rsp), %rax movq %rax, 96(%rsp) leaq 80(%rsp), %rax movq %rax, 104(%rsp) leaq 72(%rsp), %rax movq %rax, 112(%rsp) leaq 64(%rsp), %rax movq %rax, 120(%rsp) leaq 12(%rsp), %rax movq %rax, 128(%rsp) leaq 8(%rsp), %rax movq %rax, 136(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 96(%rsp), %r9 movl $_Z24processMandelbrotElementPdPKdS1_djj, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $168, %rsp .cfi_adjust_cfa_offset -168 retq .Lfunc_end0: .size _Z39__device_stub__processMandelbrotElementPdPKdS1_djj, .Lfunc_end0-_Z39__device_stub__processMandelbrotElementPdPKdS1_djj .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z24processMandelbrotElementPdPKdS1_djj, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z24processMandelbrotElementPdPKdS1_djj,@object # @_Z24processMandelbrotElementPdPKdS1_djj .section .rodata,"a",@progbits .globl _Z24processMandelbrotElementPdPKdS1_djj .p2align 3, 0x0 _Z24processMandelbrotElementPdPKdS1_djj: .quad _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .size _Z24processMandelbrotElementPdPKdS1_djj, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z24processMandelbrotElementPdPKdS1_djj" .size .L__unnamed_1, 40 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z24processMandelbrotElementPdPKdS1_djj .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_0004521d_00000000-6_mandelbrotViewerProcessElement.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2031: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2031: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z20calculateGlobalIndexv .type _Z20calculateGlobalIndexv, @function _Z20calculateGlobalIndexv: .LFB2027: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2027: .size _Z20calculateGlobalIndexv, .-_Z20calculateGlobalIndexv .globl _Z12doIterationsdddj .type _Z12doIterationsdddj, @function _Z12doIterationsdddj: .LFB2028: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2028: .size _Z12doIterationsdddj, .-_Z12doIterationsdddj .globl _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj .type _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj, @function _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj: .LFB2053: .cfi_startproc endbr64 subq $184, %rsp .cfi_def_cfa_offset 192 movq %rdi, 40(%rsp) movq %rsi, 32(%rsp) movq %rdx, 24(%rsp) movsd %xmm0, 16(%rsp) movl %ecx, 12(%rsp) movl %r8d, 8(%rsp) movq %fs:40, %rax movq %rax, 168(%rsp) xorl %eax, %eax leaq 40(%rsp), %rax movq %rax, 112(%rsp) leaq 32(%rsp), %rax movq %rax, 120(%rsp) leaq 24(%rsp), %rax movq %rax, 128(%rsp) leaq 16(%rsp), %rax movq %rax, 136(%rsp) leaq 12(%rsp), %rax movq %rax, 144(%rsp) leaq 8(%rsp), %rax movq %rax, 152(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $1, 72(%rsp) movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) leaq 56(%rsp), %rcx leaq 48(%rsp), %rdx leaq 76(%rsp), %rsi leaq 64(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L11 .L7: movq 168(%rsp), %rax subq %fs:40, %rax jne .L12 addq $184, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L11: .cfi_restore_state pushq 56(%rsp) .cfi_def_cfa_offset 200 pushq 56(%rsp) .cfi_def_cfa_offset 208 leaq 128(%rsp), %r9 movq 92(%rsp), %rcx movl 100(%rsp), %r8d movq 80(%rsp), %rsi movl 88(%rsp), %edx leaq _Z24processMandelbrotElementPdPKdS1_djj(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 192 jmp .L7 .L12: call __stack_chk_fail@PLT .cfi_endproc .LFE2053: .size _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj, .-_Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj .globl _Z24processMandelbrotElementPdPKdS1_djj .type _Z24processMandelbrotElementPdPKdS1_djj, @function _Z24processMandelbrotElementPdPKdS1_djj: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z53__device_stub__Z24processMandelbrotElementPdPKdS1_djjPdPKdS1_djj addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size _Z24processMandelbrotElementPdPKdS1_djj, .-_Z24processMandelbrotElementPdPKdS1_djj .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC0: .string "_Z24processMandelbrotElementPdPKdS1_djj" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2056: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z24processMandelbrotElementPdPKdS1_djj(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2056: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "mandelbrotViewerProcessElement.hip" .globl _Z39__device_stub__processMandelbrotElementPdPKdS1_djj # -- Begin function _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .p2align 4, 0x90 .type _Z39__device_stub__processMandelbrotElementPdPKdS1_djj,@function _Z39__device_stub__processMandelbrotElementPdPKdS1_djj: # @_Z39__device_stub__processMandelbrotElementPdPKdS1_djj .cfi_startproc # %bb.0: subq $152, %rsp .cfi_def_cfa_offset 160 movq %rdi, 88(%rsp) movq %rsi, 80(%rsp) movq %rdx, 72(%rsp) movsd %xmm0, 64(%rsp) movl %ecx, 12(%rsp) movl %r8d, 8(%rsp) leaq 88(%rsp), %rax movq %rax, 96(%rsp) leaq 80(%rsp), %rax movq %rax, 104(%rsp) leaq 72(%rsp), %rax movq %rax, 112(%rsp) leaq 64(%rsp), %rax movq %rax, 120(%rsp) leaq 12(%rsp), %rax movq %rax, 128(%rsp) leaq 8(%rsp), %rax movq %rax, 136(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 96(%rsp), %r9 movl $_Z24processMandelbrotElementPdPKdS1_djj, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $168, %rsp .cfi_adjust_cfa_offset -168 retq .Lfunc_end0: .size _Z39__device_stub__processMandelbrotElementPdPKdS1_djj, .Lfunc_end0-_Z39__device_stub__processMandelbrotElementPdPKdS1_djj .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: subq $40, %rsp .cfi_def_cfa_offset 48 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB1_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB1_2: movq __hip_gpubin_handle(%rip), %rdi xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z24processMandelbrotElementPdPKdS1_djj, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $40, %rsp .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end1: .size __hip_module_ctor, .Lfunc_end1-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB2_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB2_2: retq .Lfunc_end2: .size __hip_module_dtor, .Lfunc_end2-__hip_module_dtor .cfi_endproc # -- End function .type _Z24processMandelbrotElementPdPKdS1_djj,@object # @_Z24processMandelbrotElementPdPKdS1_djj .section .rodata,"a",@progbits .globl _Z24processMandelbrotElementPdPKdS1_djj .p2align 3, 0x0 _Z24processMandelbrotElementPdPKdS1_djj: .quad _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .size _Z24processMandelbrotElementPdPKdS1_djj, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z24processMandelbrotElementPdPKdS1_djj" .size .L__unnamed_1, 40 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z39__device_stub__processMandelbrotElementPdPKdS1_djj .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z24processMandelbrotElementPdPKdS1_djj .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <cuda_runtime.h> #include <cuda_fp16.h> #include <stdio.h> __device__ float reference(float x) { double y = x; return y * tanh(log1p(exp(y))); } __device__ float mish_final(float value) { auto e = __expf(value); auto n = e * e + 2 * e; if (value <= -0.6f) return value * __fdividef(n, n + 2); return value - 2 * __fdividef(value, n + 2); } __device__ half mish_half_old(half value) { return value * half(tanhf(hlog(half(1) + hexp(value)))); } __device__ half mish_half_final(half value) { if (value > half(3.999)) return value; auto e = hexp(value); auto n = e * e + half(2) * e; return value * n / (n + half(2)); } __global__ void test() { for (float x = 0; x < 6; x += 0.0001) { // double precision reference float ref = reference(x); half h = x; float expr1 = [=] { return h * half(tanhf(hlog(half(1.0f) + hexp(h)))); } (); auto e = hexp(h); auto n = e * e + half(2) * e; float expr2 = h * n / (n + half(2)); float expr3 = x; // h - half(2) * h / (n + half(2)); double err1 = abs(double(ref) - double(expr1)); double err2 = abs(double(ref) - double(expr2)); double err3 = abs(double(ref) - double(expr3)); int temp; printf("[x=%f] %.7e %.7e %.7e %.7e (%.7e, %.7e, %.7e, %.7e)\n", x, ref, expr1, expr2, expr3, //frexpf(ref, &temp), frexpf(expr1, &temp), frexpf(expr2, &temp), frexpf(expr3, &temp), 0.0f, float(err1), float(err2), float(err3)); } } __global__ void test_final() { for (float x = -100; x < 100; x += 0.1) { float ref = reference(x); float expr = mish_half_final(x); printf("[x=%f] %.7e %.7e (err=%.8e)\n", x, ref, expr, abs(expr - ref)); } } __global__ void dump() { for (float x = -20; x < 50; x += 0.0001) printf("%.7f %.7e\n", x, static_cast<float>(mish_half_final(x))); } int main () { dump<<<1, 1>>>(); cudaDeviceSynchronize(); return 0; }	.file "tmpxft_000c75d6_00000000-6_mish_design_half.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2438: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2438: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z9referencef .type _Z9referencef, @function _Z9referencef: .LFB2431: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2431: .size _Z9referencef, .-_Z9referencef .globl _Z10mish_finalf .type _Z10mish_finalf, @function _Z10mish_finalf: .LFB2432: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2432: .size _Z10mish_finalf, .-_Z10mish_finalf .globl _Z13mish_half_old6__half .type _Z13mish_half_old6__half, @function _Z13mish_half_old6__half: .LFB2433: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2433: .size _Z13mish_half_old6__half, .-_Z13mish_half_old6__half .globl _Z15mish_half_final6__half .type _Z15mish_half_final6__half, @function _Z15mish_half_final6__half: .LFB2434: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2434: .size _Z15mish_half_final6__half, .-_Z15mish_half_final6__half .globl _Z22__device_stub__Z4testvv .type _Z22__device_stub__Z4testvv, @function _Z22__device_stub__Z4testvv: .LFB2460: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 72(%rsp), %rax subq %fs:40, %rax jne .L16 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z4testv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2460: .size _Z22__device_stub__Z4testvv, .-_Z22__device_stub__Z4testvv .globl _Z4testv .type _Z4testv, @function _Z4testv: .LFB2461: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z22__device_stub__Z4testvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2461: .size _Z4testv, .-_Z4testv .globl _Z29__device_stub__Z10test_finalvv .type _Z29__device_stub__Z10test_finalvv, @function _Z29__device_stub__Z10test_finalvv: .LFB2462: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L23 .L19: movq 72(%rsp), %rax subq %fs:40, %rax jne .L24 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L23: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z10test_finalv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L19 .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2462: .size _Z29__device_stub__Z10test_finalvv, .-_Z29__device_stub__Z10test_finalvv .globl _Z10test_finalv .type _Z10test_finalv, @function _Z10test_finalv: .LFB2463: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z29__device_stub__Z10test_finalvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2463: .size _Z10test_finalv, .-_Z10test_finalv .globl _Z22__device_stub__Z4dumpvv .type _Z22__device_stub__Z4dumpvv, @function _Z22__device_stub__Z4dumpvv: .LFB2464: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L31 .L27: movq 72(%rsp), %rax subq %fs:40, %rax jne .L32 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L31: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z4dumpv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L27 .L32: call __stack_chk_fail@PLT .cfi_endproc .LFE2464: .size _Z22__device_stub__Z4dumpvv, .-_Z22__device_stub__Z4dumpvv .globl _Z4dumpv .type _Z4dumpv, @function _Z4dumpv: .LFB2465: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z22__device_stub__Z4dumpvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2465: .size _Z4dumpv, .-_Z4dumpv .globl main .type main, @function main: .LFB2435: .cfi_startproc endbr64 subq $40, %rsp .cfi_def_cfa_offset 48 movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 8(%rsp) movl $1, 12(%rsp) movl $0, %r9d movl $0, %r8d movq 20(%rsp), %rdx movl $1, %ecx movq 8(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L38 .L36: call cudaDeviceSynchronize@PLT movl $0, %eax addq $40, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L38: .cfi_restore_state call _Z22__device_stub__Z4dumpvv jmp .L36 .cfi_endproc .LFE2435: .size main, .-main .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z4dumpv" .LC1: .string "_Z10test_finalv" .LC2: .string "_Z4testv" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2467: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z4dumpv(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq _Z10test_finalv(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _Z4testv(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2467: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <cuda_runtime.h> #include <cuda_fp16.h> #include <stdio.h> __device__ float reference(float x) { double y = x; return y * tanh(log1p(exp(y))); } __device__ float mish_final(float value) { auto e = __expf(value); auto n = e * e + 2 * e; if (value <= -0.6f) return value * __fdividef(n, n + 2); return value - 2 * __fdividef(value, n + 2); } __device__ half mish_half_old(half value) { return value * half(tanhf(hlog(half(1) + hexp(value)))); } __device__ half mish_half_final(half value) { if (value > half(3.999)) return value; auto e = hexp(value); auto n = e * e + half(2) * e; return value * n / (n + half(2)); } __global__ void test() { for (float x = 0; x < 6; x += 0.0001) { // double precision reference float ref = reference(x); half h = x; float expr1 = [=] { return h * half(tanhf(hlog(half(1.0f) + hexp(h)))); } (); auto e = hexp(h); auto n = e * e + half(2) * e; float expr2 = h * n / (n + half(2)); float expr3 = x; // h - half(2) * h / (n + half(2)); double err1 = abs(double(ref) - double(expr1)); double err2 = abs(double(ref) - double(expr2)); double err3 = abs(double(ref) - double(expr3)); int temp; printf("[x=%f] %.7e %.7e %.7e %.7e (%.7e, %.7e, %.7e, %.7e)\n", x, ref, expr1, expr2, expr3, //frexpf(ref, &temp), frexpf(expr1, &temp), frexpf(expr2, &temp), frexpf(expr3, &temp), 0.0f, float(err1), float(err2), float(err3)); } } __global__ void test_final() { for (float x = -100; x < 100; x += 0.1) { float ref = reference(x); float expr = mish_half_final(x); printf("[x=%f] %.7e %.7e (err=%.8e)\n", x, ref, expr, abs(expr - ref)); } } __global__ void dump() { for (float x = -20; x < 50; x += 0.0001) printf("%.7f %.7e\n", x, static_cast<float>(mish_half_final(x))); } int main () { dump<<<1, 1>>>(); cudaDeviceSynchronize(); return 0; }	#include <hip/hip_runtime.h> #include <hip/hip_fp16.h> #include <stdio.h> __device__ float reference(float x) { double y = x; return y * tanh(log1p(exp(y))); } __device__ float mish_final(float value) { auto e = __expf(value); auto n = e * e + 2 * e; if (value <= -0.6f) return value * __fdividef(n, n + 2); return value - 2 * __fdividef(value, n + 2); } __device__ half mish_half_old(half value) { return value * half(tanhf(hlog(half(1) + hexp(value)))); } __device__ half mish_half_final(half value) { if (value > half(3.999)) return value; auto e = hexp(value); auto n = e * e + half(2) * e; return value * n / (n + half(2)); } __global__ void test() { for (float x = 0; x < 6; x += 0.0001) { // double precision reference float ref = reference(x); half h = x; float expr1 = [=] { return h * half(tanhf(hlog(half(1.0f) + hexp(h)))); } (); auto e = hexp(h); auto n = e * e + half(2) * e; float expr2 = h * n / (n + half(2)); float expr3 = x; // h - half(2) * h / (n + half(2)); double err1 = abs(double(ref) - double(expr1)); double err2 = abs(double(ref) - double(expr2)); double err3 = abs(double(ref) - double(expr3)); int temp; printf("[x=%f] %.7e %.7e %.7e %.7e (%.7e, %.7e, %.7e, %.7e)\n", x, ref, expr1, expr2, expr3, //frexpf(ref, &temp), frexpf(expr1, &temp), frexpf(expr2, &temp), frexpf(expr3, &temp), 0.0f, float(err1), float(err2), float(err3)); } } __global__ void test_final() { for (float x = -100; x < 100; x += 0.1) { float ref = reference(x); float expr = mish_half_final(x); printf("[x=%f] %.7e %.7e (err=%.8e)\n", x, ref, expr, abs(expr - ref)); } } __global__ void dump() { for (float x = -20; x < 50; x += 0.0001) printf("%.7f %.7e\n", x, static_cast<float>(mish_half_final(x))); } int main () { dump<<<1, 1>>>(); hipDeviceSynchronize(); return 0; }
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> #include <hip/hip_fp16.h> #include <stdio.h> __device__ float reference(float x) { double y = x; return y * tanh(log1p(exp(y))); } __device__ float mish_final(float value) { auto e = __expf(value); auto n = e * e + 2 * e; if (value <= -0.6f) return value * __fdividef(n, n + 2); return value - 2 * __fdividef(value, n + 2); } __device__ half mish_half_old(half value) { return value * half(tanhf(hlog(half(1) + hexp(value)))); } __device__ half mish_half_final(half value) { if (value > half(3.999)) return value; auto e = hexp(value); auto n = e * e + half(2) * e; return value * n / (n + half(2)); } __global__ void test() { for (float x = 0; x < 6; x += 0.0001) { // double precision reference float ref = reference(x); half h = x; float expr1 = [=] { return h * half(tanhf(hlog(half(1.0f) + hexp(h)))); } (); auto e = hexp(h); auto n = e * e + half(2) * e; float expr2 = h * n / (n + half(2)); float expr3 = x; // h - half(2) * h / (n + half(2)); double err1 = abs(double(ref) - double(expr1)); double err2 = abs(double(ref) - double(expr2)); double err3 = abs(double(ref) - double(expr3)); int temp; printf("[x=%f] %.7e %.7e %.7e %.7e (%.7e, %.7e, %.7e, %.7e)\n", x, ref, expr1, expr2, expr3, //frexpf(ref, &temp), frexpf(expr1, &temp), frexpf(expr2, &temp), frexpf(expr3, &temp), 0.0f, float(err1), float(err2), float(err3)); } } __global__ void test_final() { for (float x = -100; x < 100; x += 0.1) { float ref = reference(x); float expr = mish_half_final(x); printf("[x=%f] %.7e %.7e (err=%.8e)\n", x, ref, expr, abs(expr - ref)); } } __global__ void dump() { for (float x = -20; x < 50; x += 0.0001) printf("%.7f %.7e\n", x, static_cast<float>(mish_half_final(x))); } int main () { dump<<<1, 1>>>(); hipDeviceSynchronize(); return 0; }	.text .file "mish_design_half.hip" .globl _Z19__device_stub__testv # -- Begin function _Z19__device_stub__testv .p2align 4, 0x90 .type _Z19__device_stub__testv,@function _Z19__device_stub__testv: # @_Z19__device_stub__testv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4testv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end0: .size _Z19__device_stub__testv, .Lfunc_end0-_Z19__device_stub__testv .cfi_endproc # -- End function .globl _Z25__device_stub__test_finalv # -- Begin function _Z25__device_stub__test_finalv .p2align 4, 0x90 .type _Z25__device_stub__test_finalv,@function _Z25__device_stub__test_finalv: # @_Z25__device_stub__test_finalv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z10test_finalv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end1: .size _Z25__device_stub__test_finalv, .Lfunc_end1-_Z25__device_stub__test_finalv .cfi_endproc # -- End function .globl _Z19__device_stub__dumpv # -- Begin function _Z19__device_stub__dumpv .p2align 4, 0x90 .type _Z19__device_stub__dumpv,@function _Z19__device_stub__dumpv: # @_Z19__device_stub__dumpv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4dumpv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end2: .size _Z19__device_stub__dumpv, .Lfunc_end2-_Z19__device_stub__dumpv .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 movabsq $4294967297, %rdi # imm = 0x100000001 movl $1, %esi movq %rdi, %rdx movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB3_2 # %bb.1: leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4dumpv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB3_2: callq hipDeviceSynchronize xorl %eax, %eax addq $56, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end3: .size main, .Lfunc_end3-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB4_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB4_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z4testv, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10test_finalv, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z4dumpv, %esi movl $.L__unnamed_3, %edx movl $.L__unnamed_3, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end4: .size __hip_module_ctor, .Lfunc_end4-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB5_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB5_2: retq .Lfunc_end5: .size __hip_module_dtor, .Lfunc_end5-__hip_module_dtor .cfi_endproc # -- End function .type _Z4testv,@object # @_Z4testv .section .rodata,"a",@progbits .globl _Z4testv .p2align 3, 0x0 _Z4testv: .quad _Z19__device_stub__testv .size _Z4testv, 8 .type _Z10test_finalv,@object # @_Z10test_finalv .globl _Z10test_finalv .p2align 3, 0x0 _Z10test_finalv: .quad _Z25__device_stub__test_finalv .size _Z10test_finalv, 8 .type _Z4dumpv,@object # @_Z4dumpv .globl _Z4dumpv .p2align 3, 0x0 _Z4dumpv: .quad _Z19__device_stub__dumpv .size _Z4dumpv, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z4testv" .size .L__unnamed_1, 9 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "_Z10test_finalv" .size .L__unnamed_2, 16 .type .L__unnamed_3,@object # @2 .L__unnamed_3: .asciz "_Z4dumpv" .size .L__unnamed_3, 9 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z19__device_stub__testv .addrsig_sym _Z25__device_stub__test_finalv .addrsig_sym _Z19__device_stub__dumpv .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z4testv .addrsig_sym _Z10test_finalv .addrsig_sym _Z4dumpv .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_000c75d6_00000000-6_mish_design_half.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2438: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2438: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z9referencef .type _Z9referencef, @function _Z9referencef: .LFB2431: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2431: .size _Z9referencef, .-_Z9referencef .globl _Z10mish_finalf .type _Z10mish_finalf, @function _Z10mish_finalf: .LFB2432: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2432: .size _Z10mish_finalf, .-_Z10mish_finalf .globl _Z13mish_half_old6__half .type _Z13mish_half_old6__half, @function _Z13mish_half_old6__half: .LFB2433: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2433: .size _Z13mish_half_old6__half, .-_Z13mish_half_old6__half .globl _Z15mish_half_final6__half .type _Z15mish_half_final6__half, @function _Z15mish_half_final6__half: .LFB2434: .cfi_startproc endbr64 pushq %rax .cfi_def_cfa_offset 16 popq %rax .cfi_def_cfa_offset 8 subq $24, %rsp .cfi_def_cfa_offset 32 movl $1, 12(%rsp) movl 12(%rsp), %edi call exit@PLT .cfi_endproc .LFE2434: .size _Z15mish_half_final6__half, .-_Z15mish_half_final6__half .globl _Z22__device_stub__Z4testvv .type _Z22__device_stub__Z4testvv, @function _Z22__device_stub__Z4testvv: .LFB2460: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 72(%rsp), %rax subq %fs:40, %rax jne .L16 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z4testv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2460: .size _Z22__device_stub__Z4testvv, .-_Z22__device_stub__Z4testvv .globl _Z4testv .type _Z4testv, @function _Z4testv: .LFB2461: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z22__device_stub__Z4testvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2461: .size _Z4testv, .-_Z4testv .globl _Z29__device_stub__Z10test_finalvv .type _Z29__device_stub__Z10test_finalvv, @function _Z29__device_stub__Z10test_finalvv: .LFB2462: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L23 .L19: movq 72(%rsp), %rax subq %fs:40, %rax jne .L24 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L23: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z10test_finalv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L19 .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2462: .size _Z29__device_stub__Z10test_finalvv, .-_Z29__device_stub__Z10test_finalvv .globl _Z10test_finalv .type _Z10test_finalv, @function _Z10test_finalv: .LFB2463: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z29__device_stub__Z10test_finalvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2463: .size _Z10test_finalv, .-_Z10test_finalv .globl _Z22__device_stub__Z4dumpvv .type _Z22__device_stub__Z4dumpvv, @function _Z22__device_stub__Z4dumpvv: .LFB2464: .cfi_startproc endbr64 subq $88, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 72(%rsp) xorl %eax, %eax movl $1, 16(%rsp) movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 28(%rsp) movl $1, 32(%rsp) movl $1, 36(%rsp) leaq 8(%rsp), %rcx movq %rsp, %rdx leaq 28(%rsp), %rsi leaq 16(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L31 .L27: movq 72(%rsp), %rax subq %fs:40, %rax jne .L32 addq $88, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L31: .cfi_restore_state pushq 8(%rsp) .cfi_def_cfa_offset 104 pushq 8(%rsp) .cfi_def_cfa_offset 112 leaq 80(%rsp), %r9 movq 44(%rsp), %rcx movl 52(%rsp), %r8d movq 32(%rsp), %rsi movl 40(%rsp), %edx leaq _Z4dumpv(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 96 jmp .L27 .L32: call __stack_chk_fail@PLT .cfi_endproc .LFE2464: .size _Z22__device_stub__Z4dumpvv, .-_Z22__device_stub__Z4dumpvv .globl _Z4dumpv .type _Z4dumpv, @function _Z4dumpv: .LFB2465: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z22__device_stub__Z4dumpvv addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2465: .size _Z4dumpv, .-_Z4dumpv .globl main .type main, @function main: .LFB2435: .cfi_startproc endbr64 subq $40, %rsp .cfi_def_cfa_offset 48 movl $1, 20(%rsp) movl $1, 24(%rsp) movl $1, 8(%rsp) movl $1, 12(%rsp) movl $0, %r9d movl $0, %r8d movq 20(%rsp), %rdx movl $1, %ecx movq 8(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L38 .L36: call cudaDeviceSynchronize@PLT movl $0, %eax addq $40, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L38: .cfi_restore_state call _Z22__device_stub__Z4dumpvv jmp .L36 .cfi_endproc .LFE2435: .size main, .-main .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "_Z4dumpv" .LC1: .string "_Z10test_finalv" .LC2: .string "_Z4testv" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2467: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq _Z4dumpv(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq _Z10test_finalv(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq _Z4testv(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2467: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "mish_design_half.hip" .globl _Z19__device_stub__testv # -- Begin function _Z19__device_stub__testv .p2align 4, 0x90 .type _Z19__device_stub__testv,@function _Z19__device_stub__testv: # @_Z19__device_stub__testv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4testv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end0: .size _Z19__device_stub__testv, .Lfunc_end0-_Z19__device_stub__testv .cfi_endproc # -- End function .globl _Z25__device_stub__test_finalv # -- Begin function _Z25__device_stub__test_finalv .p2align 4, 0x90 .type _Z25__device_stub__test_finalv,@function _Z25__device_stub__test_finalv: # @_Z25__device_stub__test_finalv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z10test_finalv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end1: .size _Z25__device_stub__test_finalv, .Lfunc_end1-_Z25__device_stub__test_finalv .cfi_endproc # -- End function .globl _Z19__device_stub__dumpv # -- Begin function _Z19__device_stub__dumpv .p2align 4, 0x90 .type _Z19__device_stub__dumpv,@function _Z19__device_stub__dumpv: # @_Z19__device_stub__dumpv .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4dumpv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $72, %rsp .cfi_adjust_cfa_offset -72 retq .Lfunc_end2: .size _Z19__device_stub__dumpv, .Lfunc_end2-_Z19__device_stub__dumpv .cfi_endproc # -- End function .globl main # -- Begin function main .p2align 4, 0x90 .type main,@function main: # @main .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 movabsq $4294967297, %rdi # imm = 0x100000001 movl $1, %esi movq %rdi, %rdx movl $1, %ecx xorl %r8d, %r8d xorl %r9d, %r9d callq __hipPushCallConfiguration testl %eax, %eax jne .LBB3_2 # %bb.1: leaq 32(%rsp), %rdi leaq 16(%rsp), %rsi leaq 8(%rsp), %rdx movq %rsp, %rcx callq __hipPopCallConfiguration movq 32(%rsp), %rsi movl 40(%rsp), %edx movq 16(%rsp), %rcx movl 24(%rsp), %r8d leaq 48(%rsp), %r9 movl $_Z4dumpv, %edi pushq (%rsp) .cfi_adjust_cfa_offset 8 pushq 16(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $16, %rsp .cfi_adjust_cfa_offset -16 .LBB3_2: callq hipDeviceSynchronize xorl %eax, %eax addq $56, %rsp .cfi_def_cfa_offset 8 retq .Lfunc_end3: .size main, .Lfunc_end3-main .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB4_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB4_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z4testv, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z10test_finalv, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $_Z4dumpv, %esi movl $.L__unnamed_3, %edx movl $.L__unnamed_3, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end4: .size __hip_module_ctor, .Lfunc_end4-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB5_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB5_2: retq .Lfunc_end5: .size __hip_module_dtor, .Lfunc_end5-__hip_module_dtor .cfi_endproc # -- End function .type _Z4testv,@object # @_Z4testv .section .rodata,"a",@progbits .globl _Z4testv .p2align 3, 0x0 _Z4testv: .quad _Z19__device_stub__testv .size _Z4testv, 8 .type _Z10test_finalv,@object # @_Z10test_finalv .globl _Z10test_finalv .p2align 3, 0x0 _Z10test_finalv: .quad _Z25__device_stub__test_finalv .size _Z10test_finalv, 8 .type _Z4dumpv,@object # @_Z4dumpv .globl _Z4dumpv .p2align 3, 0x0 _Z4dumpv: .quad _Z19__device_stub__dumpv .size _Z4dumpv, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "_Z4testv" .size .L__unnamed_1, 9 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "_Z10test_finalv" .size .L__unnamed_2, 16 .type .L__unnamed_3,@object # @2 .L__unnamed_3: .asciz "_Z4dumpv" .size .L__unnamed_3, 9 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym _Z19__device_stub__testv .addrsig_sym _Z25__device_stub__test_finalv .addrsig_sym _Z19__device_stub__dumpv .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym _Z4testv .addrsig_sym _Z10test_finalv .addrsig_sym _Z4dumpv .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	/* * Copyright 2015 Netherlands eScience Center, VU University Amsterdam, and Netherlands Forensic Institute * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. / /* * This file contains CUDA kernels for applying a Wiener filter to a * PRNU pattern, as proposed by: * M. Chen et al. "Determining image origin and integrity using sensor * noise", IEEE Trans. Inf. Forensics Secur. 3 (2008) 74-90. * * The Wiener filter is used to remove JPEG artifacts from a PRNU pattern. * * To apply the complete filter: * apply Fourier transform to the input image * call computeSquaredMagnitudes() on the frequencies * call computeVarianceEstimates() on the squared magnitudes * call computeVarianceZeroMean() on the squared magnitudes * call scaleWithVariances() scaling the frequencies using the local and global variance * apply inverse Fourier transform * normalize result by calling normalizeToReal() * * @author Ben van Werkhoven <b.vanwerkhoven@esciencecenter.nl> * @version 0.1 / #ifndef block_size_x #define block_size_x 32 #endif #ifndef block_size_y #define block_size_y 16 #endif #ifndef reuse_computation #define reuse_computation 1 #endif //set the number and size of filters, also adjust max_border #define FILTERS 4 #define FILTER_SIZES {3, 5, 7, 9} #define MAX_BORDER 4 //the largest (filter size/2) #define FLT_MAX 3.40282347e+38f //function interfaces to prevent C++ garbling the kernel keys extern "C" { __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies); __global__ void scaleWithVariances(int h, int w, float* output, float* input, float* varianceEstimates, float* variance); __global__ void toComplex(int h, int w, float* complex, float* input); __global__ void toReal(int h, int w, float* output, float* complex); __global__ void computeVarianceZeroMean(int n, float* output, float input); __global__ void computeVarianceEstimates(int h, int w, float varest, float* input); __global__ void computeVarianceEstimates_naive(int h, int w, float* varest, float* input); __global__ void normalizeToReal(int h, int w, float* output, float* complex); __global__ void normalize(int h, int w, float* output, float* complex); __global__ void sumFloats(float output, float input, int n); } /** * Computes the square of each frequency and stores the result as a real. / __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (j < w && i < h) { float re = frequencies[i2w+(2 * j)]; float im = frequencies[i2w+(2 * j + 1)]; output[iw+j] = (re re) + (im * im); } } /** * This kernel scales the frequencies in input with a combination of the global variance and an estimate * for the local variance at that position. Effectively this cleans the input pattern from low frequency * noise. / __global__ void scaleWithVariances(int h, int w, float output, float* input, float* varianceEstimates, float* variance) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float var = variance[0]; if (j < w && i < h) { float scale = var / max(var, varianceEstimates[iw+j]); output[i2w+(j 2)] = input[i2w+(j2)] scale; output[i2w+(j * 2 + 1)] = input[i2w+(j * 2 + 1)] * scale; } } /** * Simple helper kernel to convert an array of real values to an array of complex values / __global__ void toComplex(int h, int w, float complex, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex[i * w * 2 + 2 * j] = input[i * w + j]; complex[i * w * 2 + (2 * j + 1)] = 0.0f; } } /** * Simple helper kernel to convert a complex array to an array of real values / __global__ void toReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = complex[i w * 2 + 2 * j]; } } /** * This kernel normalizes the input by dividing it by the number of pixels in the image. * It takes an array of complex numbers as input, but only stores the real values. / __global__ void normalizeToReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = (complex[i w * 2 + 2 * j] / (float)(w * h)); } } /** * This kernel normalizes the complex input by dividing it by the number of pixels in the image. / __global__ void normalize(int h, int w, float complex_out, float* complex_in) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex_out[iw2+2j ] = (complex_in[iw2+2j ] / (float)(wh)); complex_out[iw2+2j+1] = (complex_in[iw2+2j+1] / (float)(wh)); } } /** * computeVarianceEstimates uses a number of simple filters to compute a minimum local variance * * Instead of using multiple arrays with zeroed borders around them, the loading phase of this * kernel writes a zero to shared memory instead of loading a border value from global memory. * The filters can then be performed as normal on the data in shared memory. Because of this * MAX_BORDER needs to be set accordingly. * / __global__ void computeVarianceEstimates(int h, int w, float varest, float* input) { int ty = threadIdx.y; int tx = threadIdx.x; int i = blockIdx.y * block_size_y; int j = blockIdx.x * block_size_x; __shared__ float shinput[block_size_y+2MAX_BORDER][block_size_x+2MAX_BORDER]; //the loading phase of the kernel, which writes 0.0f to shared memory if the index //is outside the input int yEnd = block_size_y+2MAX_BORDER; int xEnd = block_size_x+2MAX_BORDER; for (int y=ty; y < yEnd; y+= block_size_y) { for (int x=tx; x < xEnd; x+= block_size_x) { float in = 0.0f; int indexy = i+y-MAX_BORDER; int indexx = j+x-MAX_BORDER; if (indexy >= 0 && indexy < h) { if (indexx >= 0 && indexx < w) { in = input[indexyw+indexx]; } } shinput[y][x] = in; } } __syncthreads(); const int filter[FILTERS] = FILTER_SIZES; float res = FLT_MAX; #if reuse_computation == 0 //perform filtering without reusing the sum from smaller filters for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { sum += shinput[ty+fi+offset][tx+fj+offset]; } } sum /= (float)(filterSize filterSize); //store minimum res = sum < res ? sum : res; } #elif reuse_computation == 1 //perform filtering while reusing the sum from smaller filters //start from center pixel float sum = shinput[ty+MAX_BORDER][tx+MAX_BORDER]; //add sides of the square filter to sum and store minimum average for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //top and bottom row for (int fj=0; fj<filterSize; fj++) { sum += shinput[ty+0+offset][tx+fj+offset]; sum += shinput[ty+filterSize-1+offset][tx+fj+offset]; } //two sides (between top and bottom rows) for (int fi=1; fi<filterSize-1; fi++) { sum += shinput[ty+fi+offset][tx+0+offset]; sum += shinput[ty+fi+offset][tx+filterSize-1+offset]; } //store minimum float avg = sum / (filterSizefilterSize); res = avg < res ? avg : res; } #endif //write output if (i + ty < h) { if (j + tx < w) { varest[(i+ty)w + (j+tx)] = res; } } } /** * This method is a naive implementation of computeVarianceEstimates used for correctness checks / __global__ void computeVarianceEstimates_naive(int h, int w, float varest, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float res = FLT_MAX; if (i < h && j < w) { const int filter[FILTERS] = FILTER_SIZES; for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int border = filterSize/2; //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { //original //sum += input[(i + fi)(w+border2)+(j + fj)]; int row = i+fi-border; int col = j+fj-border; //the following ifs are a hack to save redundant copying if (row >= 0 && row < h) { if (col >= 0 && col < w) { sum += input[roww + col]; } } } } sum /= (float)(filterSize filterSize); if (sum < res) { res = sum; } } //write output varest[iw+j] = res; } } / * This method computes the variance of an input array, assuming the mean is equal to zero * * Thread block size should be power of two because of the reduction. * The implementation currently assumes only one thread block is used for the entire input array * * In case of multiple thread blocks initialize output to zero and use atomic add or another kernel * * block_size_x power of 2 / #ifndef grid_size_x //hack to see if the Kernel Tuner is being used #undef block_size_x #define block_size_x 128 #endif __global__ void computeVarianceZeroMean(int n, float output, float input) { int x = blockIdx.x block_size_x + threadIdx.x; int ti = threadIdx.x; int step_size = block_size_x * gridDim.x; float sum = 0.0f; if (x < n) { //compute thread-local sums of squares for (int i=x; i < n; i+=step_size) { sum += input[i]input[i]; } } //store local sums in shared memory __shared__ float shmem[block_size_x]; shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[blockIdx.x] = ( shmem[0] n ) / ( n - 1 ); //in case of multiple threadblocks write back using atomicAdd } } /* * Simple CUDA Helper function to reduce the output of a * reduction kernel with multiple thread blocks to a single value * * This function performs a sum of an array of floats * * This function is to be called with only a single thread block / __global__ void sumFloats(float output, float *input, int n) { int ti = threadIdx.x; __shared__ float shmem[block_size_x]; //compute thread-local sums float sum = 0.0f; for (int i=ti; i < n; i+=block_size_x) { sum += input[i]; } //store local sums in shared memory shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[0] = shmem[0]; } }	.file "tmpxft_001bdbf1_00000000-6_wienerfilter.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ .type _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_, @function _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeSquaredMagnitudes(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_, .-_Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ .globl computeSquaredMagnitudes .type computeSquaredMagnitudes, @function computeSquaredMagnitudes: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size computeSquaredMagnitudes, .-computeSquaredMagnitudes .globl _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ .type _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_, @function _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_: .LFB2053: .cfi_startproc endbr64 subq $184, %rsp .cfi_def_cfa_offset 192 movl %edi, 44(%rsp) movl %esi, 40(%rsp) movq %rdx, 32(%rsp) movq %rcx, 24(%rsp) movq %r8, 16(%rsp) movq %r9, 8(%rsp) movq %fs:40, %rax movq %rax, 168(%rsp) xorl %eax, %eax leaq 44(%rsp), %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rax movq %rax, 120(%rsp) leaq 32(%rsp), %rax movq %rax, 128(%rsp) leaq 24(%rsp), %rax movq %rax, 136(%rsp) leaq 16(%rsp), %rax movq %rax, 144(%rsp) leaq 8(%rsp), %rax movq %rax, 152(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $1, 72(%rsp) movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) leaq 56(%rsp), %rcx leaq 48(%rsp), %rdx leaq 76(%rsp), %rsi leaq 64(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 168(%rsp), %rax subq %fs:40, %rax jne .L16 addq $184, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 56(%rsp) .cfi_def_cfa_offset 200 pushq 56(%rsp) .cfi_def_cfa_offset 208 leaq 128(%rsp), %r9 movq 92(%rsp), %rcx movl 100(%rsp), %r8d movq 80(%rsp), %rsi movl 88(%rsp), %edx leaq scaleWithVariances(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 192 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2053: .size _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_, .-_Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ .globl scaleWithVariances .type scaleWithVariances, @function scaleWithVariances: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size scaleWithVariances, .-scaleWithVariances .globl _Z32__device_stub__Z9toComplexiiPfS_iiPfS_ .type _Z32__device_stub__Z9toComplexiiPfS_iiPfS_, @function _Z32__device_stub__Z9toComplexiiPfS_iiPfS_: .LFB2055: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L23 .L19: movq 136(%rsp), %rax subq %fs:40, %rax jne .L24 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L23: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq toComplex(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L19 .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2055: .size _Z32__device_stub__Z9toComplexiiPfS_iiPfS_, .-_Z32__device_stub__Z9toComplexiiPfS_iiPfS_ .globl toComplex .type toComplex, @function toComplex: .LFB2056: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z9toComplexiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2056: .size toComplex, .-toComplex .globl _Z29__device_stub__Z6toRealiiPfS_iiPfS_ .type _Z29__device_stub__Z6toRealiiPfS_iiPfS_, @function _Z29__device_stub__Z6toRealiiPfS_iiPfS_: .LFB2057: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L31 .L27: movq 136(%rsp), %rax subq %fs:40, %rax jne .L32 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L31: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq toReal(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L27 .L32: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z29__device_stub__Z6toRealiiPfS_iiPfS_, .-_Z29__device_stub__Z6toRealiiPfS_iiPfS_ .globl toReal .type toReal, @function toReal: .LFB2058: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z29__device_stub__Z6toRealiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2058: .size toReal, .-toReal .globl _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ .type _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_, @function _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_: .LFB2059: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L39 .L35: movq 136(%rsp), %rax subq %fs:40, %rax jne .L40 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L39: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq normalizeToReal(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L35 .L40: call __stack_chk_fail@PLT .cfi_endproc .LFE2059: .size _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_, .-_Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ .globl normalizeToReal .type normalizeToReal, @function normalizeToReal: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size normalizeToReal, .-normalizeToReal .globl _Z32__device_stub__Z9normalizeiiPfS_iiPfS_ .type _Z32__device_stub__Z9normalizeiiPfS_iiPfS_, @function _Z32__device_stub__Z9normalizeiiPfS_iiPfS_: .LFB2061: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L47 .L43: movq 136(%rsp), %rax subq %fs:40, %rax jne .L48 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L47: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq normalize(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L43 .L48: call __stack_chk_fail@PLT .cfi_endproc .LFE2061: .size _Z32__device_stub__Z9normalizeiiPfS_iiPfS_, .-_Z32__device_stub__Z9normalizeiiPfS_iiPfS_ .globl normalize .type normalize, @function normalize: .LFB2062: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z9normalizeiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2062: .size normalize, .-normalize .globl _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ .type _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_, @function _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_: .LFB2063: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L55 .L51: movq 136(%rsp), %rax subq %fs:40, %rax jne .L56 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L55: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceEstimates(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L51 .L56: call __stack_chk_fail@PLT .cfi_endproc .LFE2063: .size _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_, .-_Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ .globl computeVarianceEstimates .type computeVarianceEstimates, @function computeVarianceEstimates: .LFB2064: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2064: .size computeVarianceEstimates, .-computeVarianceEstimates .globl _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ .type _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_, @function _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_: .LFB2065: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L63 .L59: movq 136(%rsp), %rax subq %fs:40, %rax jne .L64 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L63: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceEstimates_naive(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L59 .L64: call __stack_chk_fail@PLT .cfi_endproc .LFE2065: .size _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_, .-_Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ .globl computeVarianceEstimates_naive .type computeVarianceEstimates_naive, @function computeVarianceEstimates_naive: .LFB2066: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2066: .size computeVarianceEstimates_naive, .-computeVarianceEstimates_naive .globl _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ .type _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_, @function _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_: .LFB2067: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movl %edi, 28(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L71 .L67: movq 120(%rsp), %rax subq %fs:40, %rax jne .L72 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L71: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceZeroMean(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L67 .L72: call __stack_chk_fail@PLT .cfi_endproc .LFE2067: .size _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_, .-_Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ .globl computeVarianceZeroMean .type computeVarianceZeroMean, @function computeVarianceZeroMean: .LFB2068: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2068: .size computeVarianceZeroMean, .-computeVarianceZeroMean .globl _Z31__device_stub__Z9sumFloatsPfS_iPfS_i .type _Z31__device_stub__Z9sumFloatsPfS_iPfS_i, @function _Z31__device_stub__Z9sumFloatsPfS_iPfS_i: .LFB2069: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movl %edx, 12(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L79 .L75: movq 120(%rsp), %rax subq %fs:40, %rax jne .L80 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L79: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq sumFloats(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L75 .L80: call __stack_chk_fail@PLT .cfi_endproc .LFE2069: .size _Z31__device_stub__Z9sumFloatsPfS_iPfS_i, .-_Z31__device_stub__Z9sumFloatsPfS_iPfS_i .globl sumFloats .type sumFloats, @function sumFloats: .LFB2070: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z31__device_stub__Z9sumFloatsPfS_iPfS_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2070: .size sumFloats, .-sumFloats .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "sumFloats" .LC1: .string "computeVarianceZeroMean" .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC2: .string "computeVarianceEstimates_naive" .section .rodata.str1.1 .LC3: .string "computeVarianceEstimates" .LC4: .string "normalize" .LC5: .string "normalizeToReal" .LC6: .string "toReal" .LC7: .string "toComplex" .LC8: .string "scaleWithVariances" .LC9: .string "computeSquaredMagnitudes" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2072: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq sumFloats(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq computeVarianceZeroMean(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq computeVarianceEstimates_naive(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC3(%rip), %rdx movq %rdx, %rcx leaq computeVarianceEstimates(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC4(%rip), %rdx movq %rdx, %rcx leaq normalize(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC5(%rip), %rdx movq %rdx, %rcx leaq normalizeToReal(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC6(%rip), %rdx movq %rdx, %rcx leaq toReal(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC7(%rip), %rdx movq %rdx, %rcx leaq toComplex(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC8(%rip), %rdx movq %rdx, %rcx leaq scaleWithVariances(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC9(%rip), %rdx movq %rdx, %rcx leaq computeSquaredMagnitudes(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2072: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	/* * Copyright 2015 Netherlands eScience Center, VU University Amsterdam, and Netherlands Forensic Institute * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. / /* * This file contains CUDA kernels for applying a Wiener filter to a * PRNU pattern, as proposed by: * M. Chen et al. "Determining image origin and integrity using sensor * noise", IEEE Trans. Inf. Forensics Secur. 3 (2008) 74-90. * * The Wiener filter is used to remove JPEG artifacts from a PRNU pattern. * * To apply the complete filter: * apply Fourier transform to the input image * call computeSquaredMagnitudes() on the frequencies * call computeVarianceEstimates() on the squared magnitudes * call computeVarianceZeroMean() on the squared magnitudes * call scaleWithVariances() scaling the frequencies using the local and global variance * apply inverse Fourier transform * normalize result by calling normalizeToReal() * * @author Ben van Werkhoven <b.vanwerkhoven@esciencecenter.nl> * @version 0.1 / #ifndef block_size_x #define block_size_x 32 #endif #ifndef block_size_y #define block_size_y 16 #endif #ifndef reuse_computation #define reuse_computation 1 #endif //set the number and size of filters, also adjust max_border #define FILTERS 4 #define FILTER_SIZES {3, 5, 7, 9} #define MAX_BORDER 4 //the largest (filter size/2) #define FLT_MAX 3.40282347e+38f //function interfaces to prevent C++ garbling the kernel keys extern "C" { __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies); __global__ void scaleWithVariances(int h, int w, float* output, float* input, float* varianceEstimates, float* variance); __global__ void toComplex(int h, int w, float* complex, float* input); __global__ void toReal(int h, int w, float* output, float* complex); __global__ void computeVarianceZeroMean(int n, float* output, float input); __global__ void computeVarianceEstimates(int h, int w, float varest, float* input); __global__ void computeVarianceEstimates_naive(int h, int w, float* varest, float* input); __global__ void normalizeToReal(int h, int w, float* output, float* complex); __global__ void normalize(int h, int w, float* output, float* complex); __global__ void sumFloats(float output, float input, int n); } /** * Computes the square of each frequency and stores the result as a real. / __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (j < w && i < h) { float re = frequencies[i2w+(2 * j)]; float im = frequencies[i2w+(2 * j + 1)]; output[iw+j] = (re re) + (im * im); } } /** * This kernel scales the frequencies in input with a combination of the global variance and an estimate * for the local variance at that position. Effectively this cleans the input pattern from low frequency * noise. / __global__ void scaleWithVariances(int h, int w, float output, float* input, float* varianceEstimates, float* variance) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float var = variance[0]; if (j < w && i < h) { float scale = var / max(var, varianceEstimates[iw+j]); output[i2w+(j 2)] = input[i2w+(j2)] scale; output[i2w+(j * 2 + 1)] = input[i2w+(j * 2 + 1)] * scale; } } /** * Simple helper kernel to convert an array of real values to an array of complex values / __global__ void toComplex(int h, int w, float complex, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex[i * w * 2 + 2 * j] = input[i * w + j]; complex[i * w * 2 + (2 * j + 1)] = 0.0f; } } /** * Simple helper kernel to convert a complex array to an array of real values / __global__ void toReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = complex[i w * 2 + 2 * j]; } } /** * This kernel normalizes the input by dividing it by the number of pixels in the image. * It takes an array of complex numbers as input, but only stores the real values. / __global__ void normalizeToReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = (complex[i w * 2 + 2 * j] / (float)(w * h)); } } /** * This kernel normalizes the complex input by dividing it by the number of pixels in the image. / __global__ void normalize(int h, int w, float complex_out, float* complex_in) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex_out[iw2+2j ] = (complex_in[iw2+2j ] / (float)(wh)); complex_out[iw2+2j+1] = (complex_in[iw2+2j+1] / (float)(wh)); } } /** * computeVarianceEstimates uses a number of simple filters to compute a minimum local variance * * Instead of using multiple arrays with zeroed borders around them, the loading phase of this * kernel writes a zero to shared memory instead of loading a border value from global memory. * The filters can then be performed as normal on the data in shared memory. Because of this * MAX_BORDER needs to be set accordingly. * / __global__ void computeVarianceEstimates(int h, int w, float varest, float* input) { int ty = threadIdx.y; int tx = threadIdx.x; int i = blockIdx.y * block_size_y; int j = blockIdx.x * block_size_x; __shared__ float shinput[block_size_y+2MAX_BORDER][block_size_x+2MAX_BORDER]; //the loading phase of the kernel, which writes 0.0f to shared memory if the index //is outside the input int yEnd = block_size_y+2MAX_BORDER; int xEnd = block_size_x+2MAX_BORDER; for (int y=ty; y < yEnd; y+= block_size_y) { for (int x=tx; x < xEnd; x+= block_size_x) { float in = 0.0f; int indexy = i+y-MAX_BORDER; int indexx = j+x-MAX_BORDER; if (indexy >= 0 && indexy < h) { if (indexx >= 0 && indexx < w) { in = input[indexyw+indexx]; } } shinput[y][x] = in; } } __syncthreads(); const int filter[FILTERS] = FILTER_SIZES; float res = FLT_MAX; #if reuse_computation == 0 //perform filtering without reusing the sum from smaller filters for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { sum += shinput[ty+fi+offset][tx+fj+offset]; } } sum /= (float)(filterSize filterSize); //store minimum res = sum < res ? sum : res; } #elif reuse_computation == 1 //perform filtering while reusing the sum from smaller filters //start from center pixel float sum = shinput[ty+MAX_BORDER][tx+MAX_BORDER]; //add sides of the square filter to sum and store minimum average for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //top and bottom row for (int fj=0; fj<filterSize; fj++) { sum += shinput[ty+0+offset][tx+fj+offset]; sum += shinput[ty+filterSize-1+offset][tx+fj+offset]; } //two sides (between top and bottom rows) for (int fi=1; fi<filterSize-1; fi++) { sum += shinput[ty+fi+offset][tx+0+offset]; sum += shinput[ty+fi+offset][tx+filterSize-1+offset]; } //store minimum float avg = sum / (filterSizefilterSize); res = avg < res ? avg : res; } #endif //write output if (i + ty < h) { if (j + tx < w) { varest[(i+ty)w + (j+tx)] = res; } } } /** * This method is a naive implementation of computeVarianceEstimates used for correctness checks / __global__ void computeVarianceEstimates_naive(int h, int w, float varest, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float res = FLT_MAX; if (i < h && j < w) { const int filter[FILTERS] = FILTER_SIZES; for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int border = filterSize/2; //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { //original //sum += input[(i + fi)(w+border2)+(j + fj)]; int row = i+fi-border; int col = j+fj-border; //the following ifs are a hack to save redundant copying if (row >= 0 && row < h) { if (col >= 0 && col < w) { sum += input[roww + col]; } } } } sum /= (float)(filterSize filterSize); if (sum < res) { res = sum; } } //write output varest[iw+j] = res; } } / * This method computes the variance of an input array, assuming the mean is equal to zero * * Thread block size should be power of two because of the reduction. * The implementation currently assumes only one thread block is used for the entire input array * * In case of multiple thread blocks initialize output to zero and use atomic add or another kernel * * block_size_x power of 2 / #ifndef grid_size_x //hack to see if the Kernel Tuner is being used #undef block_size_x #define block_size_x 128 #endif __global__ void computeVarianceZeroMean(int n, float output, float input) { int x = blockIdx.x block_size_x + threadIdx.x; int ti = threadIdx.x; int step_size = block_size_x * gridDim.x; float sum = 0.0f; if (x < n) { //compute thread-local sums of squares for (int i=x; i < n; i+=step_size) { sum += input[i]input[i]; } } //store local sums in shared memory __shared__ float shmem[block_size_x]; shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[blockIdx.x] = ( shmem[0] n ) / ( n - 1 ); //in case of multiple threadblocks write back using atomicAdd } } /* * Simple CUDA Helper function to reduce the output of a * reduction kernel with multiple thread blocks to a single value * * This function performs a sum of an array of floats * * This function is to be called with only a single thread block / __global__ void sumFloats(float output, float *input, int n) { int ti = threadIdx.x; __shared__ float shmem[block_size_x]; //compute thread-local sums float sum = 0.0f; for (int i=ti; i < n; i+=block_size_x) { sum += input[i]; } //store local sums in shared memory shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[0] = shmem[0]; } }	#include <hip/hip_runtime.h> /* * Copyright 2015 Netherlands eScience Center, VU University Amsterdam, and Netherlands Forensic Institute * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. / /* * This file contains CUDA kernels for applying a Wiener filter to a * PRNU pattern, as proposed by: * M. Chen et al. "Determining image origin and integrity using sensor * noise", IEEE Trans. Inf. Forensics Secur. 3 (2008) 74-90. * * The Wiener filter is used to remove JPEG artifacts from a PRNU pattern. * * To apply the complete filter: * apply Fourier transform to the input image * call computeSquaredMagnitudes() on the frequencies * call computeVarianceEstimates() on the squared magnitudes * call computeVarianceZeroMean() on the squared magnitudes * call scaleWithVariances() scaling the frequencies using the local and global variance * apply inverse Fourier transform * normalize result by calling normalizeToReal() * * @author Ben van Werkhoven <b.vanwerkhoven@esciencecenter.nl> * @version 0.1 / #ifndef block_size_x #define block_size_x 32 #endif #ifndef block_size_y #define block_size_y 16 #endif #ifndef reuse_computation #define reuse_computation 1 #endif //set the number and size of filters, also adjust max_border #define FILTERS 4 #define FILTER_SIZES {3, 5, 7, 9} #define MAX_BORDER 4 //the largest (filter size/2) #define FLT_MAX 3.40282347e+38f //function interfaces to prevent C++ garbling the kernel keys extern "C" { __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies); __global__ void scaleWithVariances(int h, int w, float* output, float* input, float* varianceEstimates, float* variance); __global__ void toComplex(int h, int w, float* complex, float* input); __global__ void toReal(int h, int w, float* output, float* complex); __global__ void computeVarianceZeroMean(int n, float* output, float input); __global__ void computeVarianceEstimates(int h, int w, float varest, float* input); __global__ void computeVarianceEstimates_naive(int h, int w, float* varest, float* input); __global__ void normalizeToReal(int h, int w, float* output, float* complex); __global__ void normalize(int h, int w, float* output, float* complex); __global__ void sumFloats(float output, float input, int n); } /** * Computes the square of each frequency and stores the result as a real. / __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (j < w && i < h) { float re = frequencies[i2w+(2 * j)]; float im = frequencies[i2w+(2 * j + 1)]; output[iw+j] = (re re) + (im * im); } } /** * This kernel scales the frequencies in input with a combination of the global variance and an estimate * for the local variance at that position. Effectively this cleans the input pattern from low frequency * noise. / __global__ void scaleWithVariances(int h, int w, float output, float* input, float* varianceEstimates, float* variance) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float var = variance[0]; if (j < w && i < h) { float scale = var / max(var, varianceEstimates[iw+j]); output[i2w+(j 2)] = input[i2w+(j2)] scale; output[i2w+(j * 2 + 1)] = input[i2w+(j * 2 + 1)] * scale; } } /** * Simple helper kernel to convert an array of real values to an array of complex values / __global__ void toComplex(int h, int w, float complex, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex[i * w * 2 + 2 * j] = input[i * w + j]; complex[i * w * 2 + (2 * j + 1)] = 0.0f; } } /** * Simple helper kernel to convert a complex array to an array of real values / __global__ void toReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = complex[i w * 2 + 2 * j]; } } /** * This kernel normalizes the input by dividing it by the number of pixels in the image. * It takes an array of complex numbers as input, but only stores the real values. / __global__ void normalizeToReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = (complex[i w * 2 + 2 * j] / (float)(w * h)); } } /** * This kernel normalizes the complex input by dividing it by the number of pixels in the image. / __global__ void normalize(int h, int w, float complex_out, float* complex_in) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex_out[iw2+2j ] = (complex_in[iw2+2j ] / (float)(wh)); complex_out[iw2+2j+1] = (complex_in[iw2+2j+1] / (float)(wh)); } } /** * computeVarianceEstimates uses a number of simple filters to compute a minimum local variance * * Instead of using multiple arrays with zeroed borders around them, the loading phase of this * kernel writes a zero to shared memory instead of loading a border value from global memory. * The filters can then be performed as normal on the data in shared memory. Because of this * MAX_BORDER needs to be set accordingly. * / __global__ void computeVarianceEstimates(int h, int w, float varest, float* input) { int ty = threadIdx.y; int tx = threadIdx.x; int i = blockIdx.y * block_size_y; int j = blockIdx.x * block_size_x; __shared__ float shinput[block_size_y+2MAX_BORDER][block_size_x+2MAX_BORDER]; //the loading phase of the kernel, which writes 0.0f to shared memory if the index //is outside the input int yEnd = block_size_y+2MAX_BORDER; int xEnd = block_size_x+2MAX_BORDER; for (int y=ty; y < yEnd; y+= block_size_y) { for (int x=tx; x < xEnd; x+= block_size_x) { float in = 0.0f; int indexy = i+y-MAX_BORDER; int indexx = j+x-MAX_BORDER; if (indexy >= 0 && indexy < h) { if (indexx >= 0 && indexx < w) { in = input[indexyw+indexx]; } } shinput[y][x] = in; } } __syncthreads(); const int filter[FILTERS] = FILTER_SIZES; float res = FLT_MAX; #if reuse_computation == 0 //perform filtering without reusing the sum from smaller filters for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { sum += shinput[ty+fi+offset][tx+fj+offset]; } } sum /= (float)(filterSize filterSize); //store minimum res = sum < res ? sum : res; } #elif reuse_computation == 1 //perform filtering while reusing the sum from smaller filters //start from center pixel float sum = shinput[ty+MAX_BORDER][tx+MAX_BORDER]; //add sides of the square filter to sum and store minimum average for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //top and bottom row for (int fj=0; fj<filterSize; fj++) { sum += shinput[ty+0+offset][tx+fj+offset]; sum += shinput[ty+filterSize-1+offset][tx+fj+offset]; } //two sides (between top and bottom rows) for (int fi=1; fi<filterSize-1; fi++) { sum += shinput[ty+fi+offset][tx+0+offset]; sum += shinput[ty+fi+offset][tx+filterSize-1+offset]; } //store minimum float avg = sum / (filterSizefilterSize); res = avg < res ? avg : res; } #endif //write output if (i + ty < h) { if (j + tx < w) { varest[(i+ty)w + (j+tx)] = res; } } } /** * This method is a naive implementation of computeVarianceEstimates used for correctness checks / __global__ void computeVarianceEstimates_naive(int h, int w, float varest, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float res = FLT_MAX; if (i < h && j < w) { const int filter[FILTERS] = FILTER_SIZES; for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int border = filterSize/2; //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { //original //sum += input[(i + fi)(w+border2)+(j + fj)]; int row = i+fi-border; int col = j+fj-border; //the following ifs are a hack to save redundant copying if (row >= 0 && row < h) { if (col >= 0 && col < w) { sum += input[roww + col]; } } } } sum /= (float)(filterSize filterSize); if (sum < res) { res = sum; } } //write output varest[iw+j] = res; } } / * This method computes the variance of an input array, assuming the mean is equal to zero * * Thread block size should be power of two because of the reduction. * The implementation currently assumes only one thread block is used for the entire input array * * In case of multiple thread blocks initialize output to zero and use atomic add or another kernel * * block_size_x power of 2 / #ifndef grid_size_x //hack to see if the Kernel Tuner is being used #undef block_size_x #define block_size_x 128 #endif __global__ void computeVarianceZeroMean(int n, float output, float input) { int x = blockIdx.x block_size_x + threadIdx.x; int ti = threadIdx.x; int step_size = block_size_x * gridDim.x; float sum = 0.0f; if (x < n) { //compute thread-local sums of squares for (int i=x; i < n; i+=step_size) { sum += input[i]input[i]; } } //store local sums in shared memory __shared__ float shmem[block_size_x]; shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[blockIdx.x] = ( shmem[0] n ) / ( n - 1 ); //in case of multiple threadblocks write back using atomicAdd } } /* * Simple CUDA Helper function to reduce the output of a * reduction kernel with multiple thread blocks to a single value * * This function performs a sum of an array of floats * * This function is to be called with only a single thread block / __global__ void sumFloats(float output, float *input, int n) { int ti = threadIdx.x; __shared__ float shmem[block_size_x]; //compute thread-local sums float sum = 0.0f; for (int i=ti; i < n; i+=block_size_x) { sum += input[i]; } //store local sums in shared memory shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[0] = shmem[0]; } }
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.	#include <hip/hip_runtime.h> /* * Copyright 2015 Netherlands eScience Center, VU University Amsterdam, and Netherlands Forensic Institute * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. / /* * This file contains CUDA kernels for applying a Wiener filter to a * PRNU pattern, as proposed by: * M. Chen et al. "Determining image origin and integrity using sensor * noise", IEEE Trans. Inf. Forensics Secur. 3 (2008) 74-90. * * The Wiener filter is used to remove JPEG artifacts from a PRNU pattern. * * To apply the complete filter: * apply Fourier transform to the input image * call computeSquaredMagnitudes() on the frequencies * call computeVarianceEstimates() on the squared magnitudes * call computeVarianceZeroMean() on the squared magnitudes * call scaleWithVariances() scaling the frequencies using the local and global variance * apply inverse Fourier transform * normalize result by calling normalizeToReal() * * @author Ben van Werkhoven <b.vanwerkhoven@esciencecenter.nl> * @version 0.1 / #ifndef block_size_x #define block_size_x 32 #endif #ifndef block_size_y #define block_size_y 16 #endif #ifndef reuse_computation #define reuse_computation 1 #endif //set the number and size of filters, also adjust max_border #define FILTERS 4 #define FILTER_SIZES {3, 5, 7, 9} #define MAX_BORDER 4 //the largest (filter size/2) #define FLT_MAX 3.40282347e+38f //function interfaces to prevent C++ garbling the kernel keys extern "C" { __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies); __global__ void scaleWithVariances(int h, int w, float* output, float* input, float* varianceEstimates, float* variance); __global__ void toComplex(int h, int w, float* complex, float* input); __global__ void toReal(int h, int w, float* output, float* complex); __global__ void computeVarianceZeroMean(int n, float* output, float input); __global__ void computeVarianceEstimates(int h, int w, float varest, float* input); __global__ void computeVarianceEstimates_naive(int h, int w, float* varest, float* input); __global__ void normalizeToReal(int h, int w, float* output, float* complex); __global__ void normalize(int h, int w, float* output, float* complex); __global__ void sumFloats(float output, float input, int n); } /** * Computes the square of each frequency and stores the result as a real. / __global__ void computeSquaredMagnitudes(int h, int w, float output, float* frequencies) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (j < w && i < h) { float re = frequencies[i2w+(2 * j)]; float im = frequencies[i2w+(2 * j + 1)]; output[iw+j] = (re re) + (im * im); } } /** * This kernel scales the frequencies in input with a combination of the global variance and an estimate * for the local variance at that position. Effectively this cleans the input pattern from low frequency * noise. / __global__ void scaleWithVariances(int h, int w, float output, float* input, float* varianceEstimates, float* variance) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float var = variance[0]; if (j < w && i < h) { float scale = var / max(var, varianceEstimates[iw+j]); output[i2w+(j 2)] = input[i2w+(j2)] scale; output[i2w+(j * 2 + 1)] = input[i2w+(j * 2 + 1)] * scale; } } /** * Simple helper kernel to convert an array of real values to an array of complex values / __global__ void toComplex(int h, int w, float complex, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex[i * w * 2 + 2 * j] = input[i * w + j]; complex[i * w * 2 + (2 * j + 1)] = 0.0f; } } /** * Simple helper kernel to convert a complex array to an array of real values / __global__ void toReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = complex[i w * 2 + 2 * j]; } } /** * This kernel normalizes the input by dividing it by the number of pixels in the image. * It takes an array of complex numbers as input, but only stores the real values. / __global__ void normalizeToReal(int h, int w, float output, float* complex) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { output[iw+j] = (complex[i w * 2 + 2 * j] / (float)(w * h)); } } /** * This kernel normalizes the complex input by dividing it by the number of pixels in the image. / __global__ void normalize(int h, int w, float complex_out, float* complex_in) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; if (i < h && j < w) { complex_out[iw2+2j ] = (complex_in[iw2+2j ] / (float)(wh)); complex_out[iw2+2j+1] = (complex_in[iw2+2j+1] / (float)(wh)); } } /** * computeVarianceEstimates uses a number of simple filters to compute a minimum local variance * * Instead of using multiple arrays with zeroed borders around them, the loading phase of this * kernel writes a zero to shared memory instead of loading a border value from global memory. * The filters can then be performed as normal on the data in shared memory. Because of this * MAX_BORDER needs to be set accordingly. * / __global__ void computeVarianceEstimates(int h, int w, float varest, float* input) { int ty = threadIdx.y; int tx = threadIdx.x; int i = blockIdx.y * block_size_y; int j = blockIdx.x * block_size_x; __shared__ float shinput[block_size_y+2MAX_BORDER][block_size_x+2MAX_BORDER]; //the loading phase of the kernel, which writes 0.0f to shared memory if the index //is outside the input int yEnd = block_size_y+2MAX_BORDER; int xEnd = block_size_x+2MAX_BORDER; for (int y=ty; y < yEnd; y+= block_size_y) { for (int x=tx; x < xEnd; x+= block_size_x) { float in = 0.0f; int indexy = i+y-MAX_BORDER; int indexx = j+x-MAX_BORDER; if (indexy >= 0 && indexy < h) { if (indexx >= 0 && indexx < w) { in = input[indexyw+indexx]; } } shinput[y][x] = in; } } __syncthreads(); const int filter[FILTERS] = FILTER_SIZES; float res = FLT_MAX; #if reuse_computation == 0 //perform filtering without reusing the sum from smaller filters for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { sum += shinput[ty+fi+offset][tx+fj+offset]; } } sum /= (float)(filterSize filterSize); //store minimum res = sum < res ? sum : res; } #elif reuse_computation == 1 //perform filtering while reusing the sum from smaller filters //start from center pixel float sum = shinput[ty+MAX_BORDER][tx+MAX_BORDER]; //add sides of the square filter to sum and store minimum average for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int offset = MAX_BORDER-(filterSize/2); //top and bottom row for (int fj=0; fj<filterSize; fj++) { sum += shinput[ty+0+offset][tx+fj+offset]; sum += shinput[ty+filterSize-1+offset][tx+fj+offset]; } //two sides (between top and bottom rows) for (int fi=1; fi<filterSize-1; fi++) { sum += shinput[ty+fi+offset][tx+0+offset]; sum += shinput[ty+fi+offset][tx+filterSize-1+offset]; } //store minimum float avg = sum / (filterSizefilterSize); res = avg < res ? avg : res; } #endif //write output if (i + ty < h) { if (j + tx < w) { varest[(i+ty)w + (j+tx)] = res; } } } /** * This method is a naive implementation of computeVarianceEstimates used for correctness checks / __global__ void computeVarianceEstimates_naive(int h, int w, float varest, float* input) { int i = threadIdx.y + blockIdx.y * block_size_y; int j = threadIdx.x + blockIdx.x * block_size_x; float res = FLT_MAX; if (i < h && j < w) { const int filter[FILTERS] = FILTER_SIZES; for (int f = 0; f < FILTERS; f++) { int filterSize = filter[f]; int border = filterSize/2; //do a convolution float sum = 0.0f; for (int fi = 0; fi < filterSize; fi++) { for (int fj = 0; fj < filterSize; fj++) { //original //sum += input[(i + fi)(w+border2)+(j + fj)]; int row = i+fi-border; int col = j+fj-border; //the following ifs are a hack to save redundant copying if (row >= 0 && row < h) { if (col >= 0 && col < w) { sum += input[roww + col]; } } } } sum /= (float)(filterSize filterSize); if (sum < res) { res = sum; } } //write output varest[iw+j] = res; } } / * This method computes the variance of an input array, assuming the mean is equal to zero * * Thread block size should be power of two because of the reduction. * The implementation currently assumes only one thread block is used for the entire input array * * In case of multiple thread blocks initialize output to zero and use atomic add or another kernel * * block_size_x power of 2 / #ifndef grid_size_x //hack to see if the Kernel Tuner is being used #undef block_size_x #define block_size_x 128 #endif __global__ void computeVarianceZeroMean(int n, float output, float input) { int x = blockIdx.x block_size_x + threadIdx.x; int ti = threadIdx.x; int step_size = block_size_x * gridDim.x; float sum = 0.0f; if (x < n) { //compute thread-local sums of squares for (int i=x; i < n; i+=step_size) { sum += input[i]input[i]; } } //store local sums in shared memory __shared__ float shmem[block_size_x]; shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[blockIdx.x] = ( shmem[0] n ) / ( n - 1 ); //in case of multiple threadblocks write back using atomicAdd } } /* * Simple CUDA Helper function to reduce the output of a * reduction kernel with multiple thread blocks to a single value * * This function performs a sum of an array of floats * * This function is to be called with only a single thread block / __global__ void sumFloats(float output, float *input, int n) { int ti = threadIdx.x; __shared__ float shmem[block_size_x]; //compute thread-local sums float sum = 0.0f; for (int i=ti; i < n; i+=block_size_x) { sum += input[i]; } //store local sums in shared memory shmem[ti] = sum; __syncthreads(); //reduce local sums for (unsigned int s=block_size_x/2; s>0; s>>=1) { if (ti < s) { shmem[ti] += shmem[ti + s]; } __syncthreads(); } //write result if (ti == 0) { output[0] = shmem[0]; } }	.text .file "wienerfilter.hip" .globl __device_stub__computeSquaredMagnitudes # -- Begin function __device_stub__computeSquaredMagnitudes .p2align 4, 0x90 .type __device_stub__computeSquaredMagnitudes,@function __device_stub__computeSquaredMagnitudes: # @__device_stub__computeSquaredMagnitudes .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeSquaredMagnitudes, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size __device_stub__computeSquaredMagnitudes, .Lfunc_end0-__device_stub__computeSquaredMagnitudes .cfi_endproc # -- End function .globl __device_stub__scaleWithVariances # -- Begin function __device_stub__scaleWithVariances .p2align 4, 0x90 .type __device_stub__scaleWithVariances,@function __device_stub__scaleWithVariances: # @__device_stub__scaleWithVariances .cfi_startproc # %bb.0: subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 88(%rsp) movq %rcx, 80(%rsp) movq %r8, 72(%rsp) movq %r9, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 8(%rsp), %rax movq %rax, 104(%rsp) leaq 88(%rsp), %rax movq %rax, 112(%rsp) leaq 80(%rsp), %rax movq %rax, 120(%rsp) leaq 72(%rsp), %rax movq %rax, 128(%rsp) leaq 64(%rsp), %rax movq %rax, 136(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 96(%rsp), %r9 movl $scaleWithVariances, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $168, %rsp .cfi_adjust_cfa_offset -168 retq .Lfunc_end1: .size __device_stub__scaleWithVariances, .Lfunc_end1-__device_stub__scaleWithVariances .cfi_endproc # -- End function .globl __device_stub__toComplex # -- Begin function __device_stub__toComplex .p2align 4, 0x90 .type __device_stub__toComplex,@function __device_stub__toComplex: # @__device_stub__toComplex .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $toComplex, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end2: .size __device_stub__toComplex, .Lfunc_end2-__device_stub__toComplex .cfi_endproc # -- End function .globl __device_stub__toReal # -- Begin function __device_stub__toReal .p2align 4, 0x90 .type __device_stub__toReal,@function __device_stub__toReal: # @__device_stub__toReal .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $toReal, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end3: .size __device_stub__toReal, .Lfunc_end3-__device_stub__toReal .cfi_endproc # -- End function .globl __device_stub__normalizeToReal # -- Begin function __device_stub__normalizeToReal .p2align 4, 0x90 .type __device_stub__normalizeToReal,@function __device_stub__normalizeToReal: # @__device_stub__normalizeToReal .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $normalizeToReal, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end4: .size __device_stub__normalizeToReal, .Lfunc_end4-__device_stub__normalizeToReal .cfi_endproc # -- End function .globl __device_stub__normalize # -- Begin function __device_stub__normalize .p2align 4, 0x90 .type __device_stub__normalize,@function __device_stub__normalize: # @__device_stub__normalize .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $normalize, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end5: .size __device_stub__normalize, .Lfunc_end5-__device_stub__normalize .cfi_endproc # -- End function .globl __device_stub__computeVarianceEstimates # -- Begin function __device_stub__computeVarianceEstimates .p2align 4, 0x90 .type __device_stub__computeVarianceEstimates,@function __device_stub__computeVarianceEstimates: # @__device_stub__computeVarianceEstimates .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceEstimates, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end6: .size __device_stub__computeVarianceEstimates, .Lfunc_end6-__device_stub__computeVarianceEstimates .cfi_endproc # -- End function .globl __device_stub__computeVarianceEstimates_naive # -- Begin function __device_stub__computeVarianceEstimates_naive .p2align 4, 0x90 .type __device_stub__computeVarianceEstimates_naive,@function __device_stub__computeVarianceEstimates_naive: # @__device_stub__computeVarianceEstimates_naive .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceEstimates_naive, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end7: .size __device_stub__computeVarianceEstimates_naive, .Lfunc_end7-__device_stub__computeVarianceEstimates_naive .cfi_endproc # -- End function .globl __device_stub__computeVarianceZeroMean # -- Begin function __device_stub__computeVarianceZeroMean .p2align 4, 0x90 .type __device_stub__computeVarianceZeroMean,@function __device_stub__computeVarianceZeroMean: # @__device_stub__computeVarianceZeroMean .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movl %edi, 12(%rsp) movq %rsi, 72(%rsp) movq %rdx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 72(%rsp), %rax movq %rax, 88(%rsp) leaq 64(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceZeroMean, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end8: .size __device_stub__computeVarianceZeroMean, .Lfunc_end8-__device_stub__computeVarianceZeroMean .cfi_endproc # -- End function .globl __device_stub__sumFloats # -- Begin function __device_stub__sumFloats .p2align 4, 0x90 .type __device_stub__sumFloats,@function __device_stub__sumFloats: # @__device_stub__sumFloats .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movl %edx, 12(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $sumFloats, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end9: .size __device_stub__sumFloats, .Lfunc_end9-__device_stub__sumFloats .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB10_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB10_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeSquaredMagnitudes, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $scaleWithVariances, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $toComplex, %esi movl $.L__unnamed_3, %edx movl $.L__unnamed_3, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $toReal, %esi movl $.L__unnamed_4, %edx movl $.L__unnamed_4, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $normalizeToReal, %esi movl $.L__unnamed_5, %edx movl $.L__unnamed_5, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $normalize, %esi movl $.L__unnamed_6, %edx movl $.L__unnamed_6, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceEstimates, %esi movl $.L__unnamed_7, %edx movl $.L__unnamed_7, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceEstimates_naive, %esi movl $.L__unnamed_8, %edx movl $.L__unnamed_8, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceZeroMean, %esi movl $.L__unnamed_9, %edx movl $.L__unnamed_9, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $sumFloats, %esi movl $.L__unnamed_10, %edx movl $.L__unnamed_10, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end10: .size __hip_module_ctor, .Lfunc_end10-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB11_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB11_2: retq .Lfunc_end11: .size __hip_module_dtor, .Lfunc_end11-__hip_module_dtor .cfi_endproc # -- End function .type computeSquaredMagnitudes,@object # @computeSquaredMagnitudes .section .rodata,"a",@progbits .globl computeSquaredMagnitudes .p2align 3, 0x0 computeSquaredMagnitudes: .quad __device_stub__computeSquaredMagnitudes .size computeSquaredMagnitudes, 8 .type scaleWithVariances,@object # @scaleWithVariances .globl scaleWithVariances .p2align 3, 0x0 scaleWithVariances: .quad __device_stub__scaleWithVariances .size scaleWithVariances, 8 .type toComplex,@object # @toComplex .globl toComplex .p2align 3, 0x0 toComplex: .quad __device_stub__toComplex .size toComplex, 8 .type toReal,@object # @toReal .globl toReal .p2align 3, 0x0 toReal: .quad __device_stub__toReal .size toReal, 8 .type normalizeToReal,@object # @normalizeToReal .globl normalizeToReal .p2align 3, 0x0 normalizeToReal: .quad __device_stub__normalizeToReal .size normalizeToReal, 8 .type normalize,@object # @normalize .globl normalize .p2align 3, 0x0 normalize: .quad __device_stub__normalize .size normalize, 8 .type computeVarianceEstimates,@object # @computeVarianceEstimates .globl computeVarianceEstimates .p2align 3, 0x0 computeVarianceEstimates: .quad __device_stub__computeVarianceEstimates .size computeVarianceEstimates, 8 .type computeVarianceEstimates_naive,@object # @computeVarianceEstimates_naive .globl computeVarianceEstimates_naive .p2align 3, 0x0 computeVarianceEstimates_naive: .quad __device_stub__computeVarianceEstimates_naive .size computeVarianceEstimates_naive, 8 .type computeVarianceZeroMean,@object # @computeVarianceZeroMean .globl computeVarianceZeroMean .p2align 3, 0x0 computeVarianceZeroMean: .quad __device_stub__computeVarianceZeroMean .size computeVarianceZeroMean, 8 .type sumFloats,@object # @sumFloats .globl sumFloats .p2align 3, 0x0 sumFloats: .quad __device_stub__sumFloats .size sumFloats, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "computeSquaredMagnitudes" .size .L__unnamed_1, 25 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "scaleWithVariances" .size .L__unnamed_2, 19 .type .L__unnamed_3,@object # @2 .L__unnamed_3: .asciz "toComplex" .size .L__unnamed_3, 10 .type .L__unnamed_4,@object # @3 .L__unnamed_4: .asciz "toReal" .size .L__unnamed_4, 7 .type .L__unnamed_5,@object # @4 .L__unnamed_5: .asciz "normalizeToReal" .size .L__unnamed_5, 16 .type .L__unnamed_6,@object # @5 .L__unnamed_6: .asciz "normalize" .size .L__unnamed_6, 10 .type .L__unnamed_7,@object # @6 .L__unnamed_7: .asciz "computeVarianceEstimates" .size .L__unnamed_7, 25 .type .L__unnamed_8,@object # @7 .L__unnamed_8: .asciz "computeVarianceEstimates_naive" .size .L__unnamed_8, 31 .type .L__unnamed_9,@object # @8 .L__unnamed_9: .asciz "computeVarianceZeroMean" .size .L__unnamed_9, 24 .type .L__unnamed_10,@object # @9 .L__unnamed_10: .asciz "sumFloats" .size .L__unnamed_10, 10 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __device_stub__computeSquaredMagnitudes .addrsig_sym __device_stub__scaleWithVariances .addrsig_sym __device_stub__toComplex .addrsig_sym __device_stub__toReal .addrsig_sym __device_stub__normalizeToReal .addrsig_sym __device_stub__normalize .addrsig_sym __device_stub__computeVarianceEstimates .addrsig_sym __device_stub__computeVarianceEstimates_naive .addrsig_sym __device_stub__computeVarianceZeroMean .addrsig_sym __device_stub__sumFloats .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym computeSquaredMagnitudes .addrsig_sym scaleWithVariances .addrsig_sym toComplex .addrsig_sym toReal .addrsig_sym normalizeToReal .addrsig_sym normalize .addrsig_sym computeVarianceEstimates .addrsig_sym computeVarianceEstimates_naive .addrsig_sym computeVarianceZeroMean .addrsig_sym sumFloats .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.	.file "tmpxft_001bdbf1_00000000-6_wienerfilter.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2029: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2029: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ .type _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_, @function _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_: .LFB2051: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 136(%rsp), %rax subq %fs:40, %rax jne .L8 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeSquaredMagnitudes(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2051: .size _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_, .-_Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ .globl computeSquaredMagnitudes .type computeSquaredMagnitudes, @function computeSquaredMagnitudes: .LFB2052: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z48__device_stub__Z24computeSquaredMagnitudesiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2052: .size computeSquaredMagnitudes, .-computeSquaredMagnitudes .globl _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ .type _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_, @function _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_: .LFB2053: .cfi_startproc endbr64 subq $184, %rsp .cfi_def_cfa_offset 192 movl %edi, 44(%rsp) movl %esi, 40(%rsp) movq %rdx, 32(%rsp) movq %rcx, 24(%rsp) movq %r8, 16(%rsp) movq %r9, 8(%rsp) movq %fs:40, %rax movq %rax, 168(%rsp) xorl %eax, %eax leaq 44(%rsp), %rax movq %rax, 112(%rsp) leaq 40(%rsp), %rax movq %rax, 120(%rsp) leaq 32(%rsp), %rax movq %rax, 128(%rsp) leaq 24(%rsp), %rax movq %rax, 136(%rsp) leaq 16(%rsp), %rax movq %rax, 144(%rsp) leaq 8(%rsp), %rax movq %rax, 152(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) movl $1, 72(%rsp) movl $1, 76(%rsp) movl $1, 80(%rsp) movl $1, 84(%rsp) leaq 56(%rsp), %rcx leaq 48(%rsp), %rdx leaq 76(%rsp), %rsi leaq 64(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L15 .L11: movq 168(%rsp), %rax subq %fs:40, %rax jne .L16 addq $184, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L15: .cfi_restore_state pushq 56(%rsp) .cfi_def_cfa_offset 200 pushq 56(%rsp) .cfi_def_cfa_offset 208 leaq 128(%rsp), %r9 movq 92(%rsp), %rcx movl 100(%rsp), %r8d movq 80(%rsp), %rsi movl 88(%rsp), %edx leaq scaleWithVariances(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 192 jmp .L11 .L16: call __stack_chk_fail@PLT .cfi_endproc .LFE2053: .size _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_, .-_Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ .globl scaleWithVariances .type scaleWithVariances, @function scaleWithVariances: .LFB2054: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z46__device_stub__Z18scaleWithVariancesiiPfS_S_S_iiPfS_S_S_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2054: .size scaleWithVariances, .-scaleWithVariances .globl _Z32__device_stub__Z9toComplexiiPfS_iiPfS_ .type _Z32__device_stub__Z9toComplexiiPfS_iiPfS_, @function _Z32__device_stub__Z9toComplexiiPfS_iiPfS_: .LFB2055: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L23 .L19: movq 136(%rsp), %rax subq %fs:40, %rax jne .L24 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L23: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq toComplex(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L19 .L24: call __stack_chk_fail@PLT .cfi_endproc .LFE2055: .size _Z32__device_stub__Z9toComplexiiPfS_iiPfS_, .-_Z32__device_stub__Z9toComplexiiPfS_iiPfS_ .globl toComplex .type toComplex, @function toComplex: .LFB2056: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z9toComplexiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2056: .size toComplex, .-toComplex .globl _Z29__device_stub__Z6toRealiiPfS_iiPfS_ .type _Z29__device_stub__Z6toRealiiPfS_iiPfS_, @function _Z29__device_stub__Z6toRealiiPfS_iiPfS_: .LFB2057: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L31 .L27: movq 136(%rsp), %rax subq %fs:40, %rax jne .L32 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L31: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq toReal(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L27 .L32: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size _Z29__device_stub__Z6toRealiiPfS_iiPfS_, .-_Z29__device_stub__Z6toRealiiPfS_iiPfS_ .globl toReal .type toReal, @function toReal: .LFB2058: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z29__device_stub__Z6toRealiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2058: .size toReal, .-toReal .globl _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ .type _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_, @function _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_: .LFB2059: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L39 .L35: movq 136(%rsp), %rax subq %fs:40, %rax jne .L40 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L39: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq normalizeToReal(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L35 .L40: call __stack_chk_fail@PLT .cfi_endproc .LFE2059: .size _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_, .-_Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ .globl normalizeToReal .type normalizeToReal, @function normalizeToReal: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z39__device_stub__Z15normalizeToRealiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size normalizeToReal, .-normalizeToReal .globl _Z32__device_stub__Z9normalizeiiPfS_iiPfS_ .type _Z32__device_stub__Z9normalizeiiPfS_iiPfS_, @function _Z32__device_stub__Z9normalizeiiPfS_iiPfS_: .LFB2061: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L47 .L43: movq 136(%rsp), %rax subq %fs:40, %rax jne .L48 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L47: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq normalize(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L43 .L48: call __stack_chk_fail@PLT .cfi_endproc .LFE2061: .size _Z32__device_stub__Z9normalizeiiPfS_iiPfS_, .-_Z32__device_stub__Z9normalizeiiPfS_iiPfS_ .globl normalize .type normalize, @function normalize: .LFB2062: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z32__device_stub__Z9normalizeiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2062: .size normalize, .-normalize .globl _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ .type _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_, @function _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_: .LFB2063: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L55 .L51: movq 136(%rsp), %rax subq %fs:40, %rax jne .L56 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L55: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceEstimates(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L51 .L56: call __stack_chk_fail@PLT .cfi_endproc .LFE2063: .size _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_, .-_Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ .globl computeVarianceEstimates .type computeVarianceEstimates, @function computeVarianceEstimates: .LFB2064: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z48__device_stub__Z24computeVarianceEstimatesiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2064: .size computeVarianceEstimates, .-computeVarianceEstimates .globl _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ .type _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_, @function _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_: .LFB2065: .cfi_startproc endbr64 subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 28(%rsp) movl %esi, 24(%rsp) movq %rdx, 16(%rsp) movq %rcx, 8(%rsp) movq %fs:40, %rax movq %rax, 136(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 24(%rsp), %rax movq %rax, 104(%rsp) leaq 16(%rsp), %rax movq %rax, 112(%rsp) leaq 8(%rsp), %rax movq %rax, 120(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L63 .L59: movq 136(%rsp), %rax subq %fs:40, %rax jne .L64 addq $152, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L63: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 168 pushq 40(%rsp) .cfi_def_cfa_offset 176 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceEstimates_naive(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 160 jmp .L59 .L64: call __stack_chk_fail@PLT .cfi_endproc .LFE2065: .size _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_, .-_Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ .globl computeVarianceEstimates_naive .type computeVarianceEstimates_naive, @function computeVarianceEstimates_naive: .LFB2066: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z54__device_stub__Z30computeVarianceEstimates_naiveiiPfS_iiPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2066: .size computeVarianceEstimates_naive, .-computeVarianceEstimates_naive .globl _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ .type _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_, @function _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_: .LFB2067: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movl %edi, 28(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 28(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L71 .L67: movq 120(%rsp), %rax subq %fs:40, %rax jne .L72 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L71: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq computeVarianceZeroMean(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L67 .L72: call __stack_chk_fail@PLT .cfi_endproc .LFE2067: .size _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_, .-_Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ .globl computeVarianceZeroMean .type computeVarianceZeroMean, @function computeVarianceZeroMean: .LFB2068: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z46__device_stub__Z23computeVarianceZeroMeaniPfS_iPfS_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2068: .size computeVarianceZeroMean, .-computeVarianceZeroMean .globl _Z31__device_stub__Z9sumFloatsPfS_iPfS_i .type _Z31__device_stub__Z9sumFloatsPfS_iPfS_i, @function _Z31__device_stub__Z9sumFloatsPfS_iPfS_i: .LFB2069: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movl %edx, 12(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 12(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L79 .L75: movq 120(%rsp), %rax subq %fs:40, %rax jne .L80 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L79: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq sumFloats(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L75 .L80: call __stack_chk_fail@PLT .cfi_endproc .LFE2069: .size _Z31__device_stub__Z9sumFloatsPfS_iPfS_i, .-_Z31__device_stub__Z9sumFloatsPfS_iPfS_i .globl sumFloats .type sumFloats, @function sumFloats: .LFB2070: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z31__device_stub__Z9sumFloatsPfS_iPfS_i addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2070: .size sumFloats, .-sumFloats .section .rodata.str1.1,"aMS",@progbits,1 .LC0: .string "sumFloats" .LC1: .string "computeVarianceZeroMean" .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC2: .string "computeVarianceEstimates_naive" .section .rodata.str1.1 .LC3: .string "computeVarianceEstimates" .LC4: .string "normalize" .LC5: .string "normalizeToReal" .LC6: .string "toReal" .LC7: .string "toComplex" .LC8: .string "scaleWithVariances" .LC9: .string "computeSquaredMagnitudes" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2072: .cfi_startproc endbr64 pushq %rbx .cfi_def_cfa_offset 16 .cfi_offset 3, -16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rbx movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC0(%rip), %rdx movq %rdx, %rcx leaq sumFloats(%rip), %rsi movq %rax, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC1(%rip), %rdx movq %rdx, %rcx leaq computeVarianceZeroMean(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC2(%rip), %rdx movq %rdx, %rcx leaq computeVarianceEstimates_naive(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC3(%rip), %rdx movq %rdx, %rcx leaq computeVarianceEstimates(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC4(%rip), %rdx movq %rdx, %rcx leaq normalize(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC5(%rip), %rdx movq %rdx, %rcx leaq normalizeToReal(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC6(%rip), %rdx movq %rdx, %rcx leaq toReal(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC7(%rip), %rdx movq %rdx, %rcx leaq toComplex(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC8(%rip), %rdx movq %rdx, %rcx leaq scaleWithVariances(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC9(%rip), %rdx movq %rdx, %rcx leaq computeSquaredMagnitudes(%rip), %rsi movq %rbx, %rdi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT popq %rbx .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2072: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:	.text .file "wienerfilter.hip" .globl __device_stub__computeSquaredMagnitudes # -- Begin function __device_stub__computeSquaredMagnitudes .p2align 4, 0x90 .type __device_stub__computeSquaredMagnitudes,@function __device_stub__computeSquaredMagnitudes: # @__device_stub__computeSquaredMagnitudes .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeSquaredMagnitudes, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end0: .size __device_stub__computeSquaredMagnitudes, .Lfunc_end0-__device_stub__computeSquaredMagnitudes .cfi_endproc # -- End function .globl __device_stub__scaleWithVariances # -- Begin function __device_stub__scaleWithVariances .p2align 4, 0x90 .type __device_stub__scaleWithVariances,@function __device_stub__scaleWithVariances: # @__device_stub__scaleWithVariances .cfi_startproc # %bb.0: subq $152, %rsp .cfi_def_cfa_offset 160 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 88(%rsp) movq %rcx, 80(%rsp) movq %r8, 72(%rsp) movq %r9, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 8(%rsp), %rax movq %rax, 104(%rsp) leaq 88(%rsp), %rax movq %rax, 112(%rsp) leaq 80(%rsp), %rax movq %rax, 120(%rsp) leaq 72(%rsp), %rax movq %rax, 128(%rsp) leaq 64(%rsp), %rax movq %rax, 136(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 96(%rsp), %r9 movl $scaleWithVariances, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $168, %rsp .cfi_adjust_cfa_offset -168 retq .Lfunc_end1: .size __device_stub__scaleWithVariances, .Lfunc_end1-__device_stub__scaleWithVariances .cfi_endproc # -- End function .globl __device_stub__toComplex # -- Begin function __device_stub__toComplex .p2align 4, 0x90 .type __device_stub__toComplex,@function __device_stub__toComplex: # @__device_stub__toComplex .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $toComplex, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end2: .size __device_stub__toComplex, .Lfunc_end2-__device_stub__toComplex .cfi_endproc # -- End function .globl __device_stub__toReal # -- Begin function __device_stub__toReal .p2align 4, 0x90 .type __device_stub__toReal,@function __device_stub__toReal: # @__device_stub__toReal .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $toReal, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end3: .size __device_stub__toReal, .Lfunc_end3-__device_stub__toReal .cfi_endproc # -- End function .globl __device_stub__normalizeToReal # -- Begin function __device_stub__normalizeToReal .p2align 4, 0x90 .type __device_stub__normalizeToReal,@function __device_stub__normalizeToReal: # @__device_stub__normalizeToReal .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $normalizeToReal, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end4: .size __device_stub__normalizeToReal, .Lfunc_end4-__device_stub__normalizeToReal .cfi_endproc # -- End function .globl __device_stub__normalize # -- Begin function __device_stub__normalize .p2align 4, 0x90 .type __device_stub__normalize,@function __device_stub__normalize: # @__device_stub__normalize .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $normalize, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end5: .size __device_stub__normalize, .Lfunc_end5-__device_stub__normalize .cfi_endproc # -- End function .globl __device_stub__computeVarianceEstimates # -- Begin function __device_stub__computeVarianceEstimates .p2align 4, 0x90 .type __device_stub__computeVarianceEstimates,@function __device_stub__computeVarianceEstimates: # @__device_stub__computeVarianceEstimates .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceEstimates, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end6: .size __device_stub__computeVarianceEstimates, .Lfunc_end6-__device_stub__computeVarianceEstimates .cfi_endproc # -- End function .globl __device_stub__computeVarianceEstimates_naive # -- Begin function __device_stub__computeVarianceEstimates_naive .p2align 4, 0x90 .type __device_stub__computeVarianceEstimates_naive,@function __device_stub__computeVarianceEstimates_naive: # @__device_stub__computeVarianceEstimates_naive .cfi_startproc # %bb.0: subq $120, %rsp .cfi_def_cfa_offset 128 movl %edi, 12(%rsp) movl %esi, 8(%rsp) movq %rdx, 72(%rsp) movq %rcx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 8(%rsp), %rax movq %rax, 88(%rsp) leaq 72(%rsp), %rax movq %rax, 96(%rsp) leaq 64(%rsp), %rax movq %rax, 104(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceEstimates_naive, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $136, %rsp .cfi_adjust_cfa_offset -136 retq .Lfunc_end7: .size __device_stub__computeVarianceEstimates_naive, .Lfunc_end7-__device_stub__computeVarianceEstimates_naive .cfi_endproc # -- End function .globl __device_stub__computeVarianceZeroMean # -- Begin function __device_stub__computeVarianceZeroMean .p2align 4, 0x90 .type __device_stub__computeVarianceZeroMean,@function __device_stub__computeVarianceZeroMean: # @__device_stub__computeVarianceZeroMean .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movl %edi, 12(%rsp) movq %rsi, 72(%rsp) movq %rdx, 64(%rsp) leaq 12(%rsp), %rax movq %rax, 80(%rsp) leaq 72(%rsp), %rax movq %rax, 88(%rsp) leaq 64(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $computeVarianceZeroMean, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end8: .size __device_stub__computeVarianceZeroMean, .Lfunc_end8-__device_stub__computeVarianceZeroMean .cfi_endproc # -- End function .globl __device_stub__sumFloats # -- Begin function __device_stub__sumFloats .p2align 4, 0x90 .type __device_stub__sumFloats,@function __device_stub__sumFloats: # @__device_stub__sumFloats .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi, 72(%rsp) movq %rsi, 64(%rsp) movl %edx, 12(%rsp) leaq 72(%rsp), %rax movq %rax, 80(%rsp) leaq 64(%rsp), %rax movq %rax, 88(%rsp) leaq 12(%rsp), %rax movq %rax, 96(%rsp) leaq 48(%rsp), %rdi leaq 32(%rsp), %rsi leaq 24(%rsp), %rdx leaq 16(%rsp), %rcx callq __hipPopCallConfiguration movq 48(%rsp), %rsi movl 56(%rsp), %edx movq 32(%rsp), %rcx movl 40(%rsp), %r8d leaq 80(%rsp), %r9 movl $sumFloats, %edi pushq 16(%rsp) .cfi_adjust_cfa_offset 8 pushq 32(%rsp) .cfi_adjust_cfa_offset 8 callq hipLaunchKernel addq $120, %rsp .cfi_adjust_cfa_offset -120 retq .Lfunc_end9: .size __device_stub__sumFloats, .Lfunc_end9-__device_stub__sumFloats .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_ctor .type __hip_module_ctor,@function __hip_module_ctor: # @__hip_module_ctor .cfi_startproc # %bb.0: pushq %rbx .cfi_def_cfa_offset 16 subq $32, %rsp .cfi_def_cfa_offset 48 .cfi_offset %rbx, -16 cmpq $0, __hip_gpubin_handle(%rip) jne .LBB10_2 # %bb.1: movl $__hip_fatbin_wrapper, %edi callq __hipRegisterFatBinary movq %rax, __hip_gpubin_handle(%rip) .LBB10_2: movq __hip_gpubin_handle(%rip), %rbx xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeSquaredMagnitudes, %esi movl $.L__unnamed_1, %edx movl $.L__unnamed_1, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $scaleWithVariances, %esi movl $.L__unnamed_2, %edx movl $.L__unnamed_2, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $toComplex, %esi movl $.L__unnamed_3, %edx movl $.L__unnamed_3, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $toReal, %esi movl $.L__unnamed_4, %edx movl $.L__unnamed_4, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $normalizeToReal, %esi movl $.L__unnamed_5, %edx movl $.L__unnamed_5, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $normalize, %esi movl $.L__unnamed_6, %edx movl $.L__unnamed_6, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceEstimates, %esi movl $.L__unnamed_7, %edx movl $.L__unnamed_7, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceEstimates_naive, %esi movl $.L__unnamed_8, %edx movl $.L__unnamed_8, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $computeVarianceZeroMean, %esi movl $.L__unnamed_9, %edx movl $.L__unnamed_9, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction xorps %xmm0, %xmm0 movups %xmm0, 16(%rsp) movups %xmm0, (%rsp) movl $sumFloats, %esi movl $.L__unnamed_10, %edx movl $.L__unnamed_10, %ecx movq %rbx, %rdi movl $-1, %r8d xorl %r9d, %r9d callq __hipRegisterFunction movl $__hip_module_dtor, %edi addq $32, %rsp .cfi_def_cfa_offset 16 popq %rbx .cfi_def_cfa_offset 8 jmp atexit # TAILCALL .Lfunc_end10: .size __hip_module_ctor, .Lfunc_end10-__hip_module_ctor .cfi_endproc # -- End function .p2align 4, 0x90 # -- Begin function __hip_module_dtor .type __hip_module_dtor,@function __hip_module_dtor: # @__hip_module_dtor .cfi_startproc # %bb.0: movq __hip_gpubin_handle(%rip), %rdi testq %rdi, %rdi je .LBB11_2 # %bb.1: pushq %rax .cfi_def_cfa_offset 16 callq __hipUnregisterFatBinary movq $0, __hip_gpubin_handle(%rip) addq $8, %rsp .cfi_def_cfa_offset 8 .LBB11_2: retq .Lfunc_end11: .size __hip_module_dtor, .Lfunc_end11-__hip_module_dtor .cfi_endproc # -- End function .type computeSquaredMagnitudes,@object # @computeSquaredMagnitudes .section .rodata,"a",@progbits .globl computeSquaredMagnitudes .p2align 3, 0x0 computeSquaredMagnitudes: .quad __device_stub__computeSquaredMagnitudes .size computeSquaredMagnitudes, 8 .type scaleWithVariances,@object # @scaleWithVariances .globl scaleWithVariances .p2align 3, 0x0 scaleWithVariances: .quad __device_stub__scaleWithVariances .size scaleWithVariances, 8 .type toComplex,@object # @toComplex .globl toComplex .p2align 3, 0x0 toComplex: .quad __device_stub__toComplex .size toComplex, 8 .type toReal,@object # @toReal .globl toReal .p2align 3, 0x0 toReal: .quad __device_stub__toReal .size toReal, 8 .type normalizeToReal,@object # @normalizeToReal .globl normalizeToReal .p2align 3, 0x0 normalizeToReal: .quad __device_stub__normalizeToReal .size normalizeToReal, 8 .type normalize,@object # @normalize .globl normalize .p2align 3, 0x0 normalize: .quad __device_stub__normalize .size normalize, 8 .type computeVarianceEstimates,@object # @computeVarianceEstimates .globl computeVarianceEstimates .p2align 3, 0x0 computeVarianceEstimates: .quad __device_stub__computeVarianceEstimates .size computeVarianceEstimates, 8 .type computeVarianceEstimates_naive,@object # @computeVarianceEstimates_naive .globl computeVarianceEstimates_naive .p2align 3, 0x0 computeVarianceEstimates_naive: .quad __device_stub__computeVarianceEstimates_naive .size computeVarianceEstimates_naive, 8 .type computeVarianceZeroMean,@object # @computeVarianceZeroMean .globl computeVarianceZeroMean .p2align 3, 0x0 computeVarianceZeroMean: .quad __device_stub__computeVarianceZeroMean .size computeVarianceZeroMean, 8 .type sumFloats,@object # @sumFloats .globl sumFloats .p2align 3, 0x0 sumFloats: .quad __device_stub__sumFloats .size sumFloats, 8 .type .L__unnamed_1,@object # @0 .section .rodata.str1.1,"aMS",@progbits,1 .L__unnamed_1: .asciz "computeSquaredMagnitudes" .size .L__unnamed_1, 25 .type .L__unnamed_2,@object # @1 .L__unnamed_2: .asciz "scaleWithVariances" .size .L__unnamed_2, 19 .type .L__unnamed_3,@object # @2 .L__unnamed_3: .asciz "toComplex" .size .L__unnamed_3, 10 .type .L__unnamed_4,@object # @3 .L__unnamed_4: .asciz "toReal" .size .L__unnamed_4, 7 .type .L__unnamed_5,@object # @4 .L__unnamed_5: .asciz "normalizeToReal" .size .L__unnamed_5, 16 .type .L__unnamed_6,@object # @5 .L__unnamed_6: .asciz "normalize" .size .L__unnamed_6, 10 .type .L__unnamed_7,@object # @6 .L__unnamed_7: .asciz "computeVarianceEstimates" .size .L__unnamed_7, 25 .type .L__unnamed_8,@object # @7 .L__unnamed_8: .asciz "computeVarianceEstimates_naive" .size .L__unnamed_8, 31 .type .L__unnamed_9,@object # @8 .L__unnamed_9: .asciz "computeVarianceZeroMean" .size .L__unnamed_9, 24 .type .L__unnamed_10,@object # @9 .L__unnamed_10: .asciz "sumFloats" .size .L__unnamed_10, 10 .type __hip_fatbin_wrapper,@object # @__hip_fatbin_wrapper .section .hipFatBinSegment,"a",@progbits .p2align 3, 0x0 __hip_fatbin_wrapper: .long 1212764230 # 0x48495046 .long 1 # 0x1 .quad __hip_fatbin .quad 0 .size __hip_fatbin_wrapper, 24 .type __hip_gpubin_handle,@object # @__hip_gpubin_handle .local __hip_gpubin_handle .comm __hip_gpubin_handle,8,8 .section .init_array,"aw",@init_array .p2align 3, 0x0 .quad __hip_module_ctor .type __hip_cuid_,@object # @__hip_cuid_ .bss .globl __hip_cuid_ __hip_cuid_: .byte 0 # 0x0 .size __hip_cuid_, 1 .section ".linker-options","e",@llvm_linker_options .ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)" .section ".note.GNU-stack","",@progbits .addrsig .addrsig_sym __device_stub__computeSquaredMagnitudes .addrsig_sym __device_stub__scaleWithVariances .addrsig_sym __device_stub__toComplex .addrsig_sym __device_stub__toReal .addrsig_sym __device_stub__normalizeToReal .addrsig_sym __device_stub__normalize .addrsig_sym __device_stub__computeVarianceEstimates .addrsig_sym __device_stub__computeVarianceEstimates_naive .addrsig_sym __device_stub__computeVarianceZeroMean .addrsig_sym __device_stub__sumFloats .addrsig_sym __hip_module_ctor .addrsig_sym __hip_module_dtor .addrsig_sym computeSquaredMagnitudes .addrsig_sym scaleWithVariances .addrsig_sym toComplex .addrsig_sym toReal .addrsig_sym normalizeToReal .addrsig_sym normalize .addrsig_sym computeVarianceEstimates .addrsig_sym computeVarianceEstimates_naive .addrsig_sym computeVarianceZeroMean .addrsig_sym sumFloats .addrsig_sym __hip_fatbin .addrsig_sym __hip_fatbin_wrapper .addrsig_sym __hip_cuid_
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.	#include <stdio.h> // Size of array #define N 1048576 // Kernel __global__ void add_vectors(int a, int b, int c) { int id = blockDim.x blockIdx.x + threadIdx.x; if(id < N) c[id] = a[id] + b[id]; } // Main program int main() { // Number of bytes to allocate for N integers size_t bytes = Nsizeof(int); // Allocate memory for arrays A, B, and C on host int A = (int)malloc(bytes); int B = (int)malloc(bytes); int C = (int)malloc(bytes); // Allocate memory for arrays d_A, d_B, and d_C on device int d_A, d_B, d_C; cudaMalloc(&d_A, bytes); cudaMalloc(&d_B, bytes); cudaMalloc(&d_C, bytes); // Fill host arrays A and B for(int i=0; i<N; i++) { A[i] = 1; B[i] = 2; } // Copy data from host arrays A and B to device arrays d_A and d_B cudaMemcpy(d_A, A, bytes, cudaMemcpyHostToDevice); cudaMemcpy(d_B, B, bytes, cudaMemcpyHostToDevice); // Set execution configuration parameters // thr_per_blk: number of CUDA threads per grid block // blk_in_grid: number of blocks in grid int thr_per_blk = 256; int blk_in_grid = ceil( float(N) / thr_per_blk ); // Launch kernel add_vectors<<< blk_in_grid, thr_per_blk >>>(d_A, d_B, d_C); // Copy data from device array d_C to host array C cudaMemcpy(C, d_C, bytes, cudaMemcpyDeviceToHost); // Verify results for(int i=0; i<N; i++) { if(C[i] != 3) { printf("\nError: value of C[%d] = %d instead of 3\n\n", i, C[i]); exit(-1); } } // Free CPU memory free(A); free(B); free(C); // Free GPU memory cudaFree(d_A); cudaFree(d_B); cudaFree(d_C); printf("\n---------------------------\n"); printf("__SUCCESS__\n"); printf("---------------------------\n"); printf("N = %d\n", N); printf("Threads Per Block = %d\n", thr_per_blk); printf("Blocks In Grid = %d\n", blk_in_grid); printf("---------------------------\n\n"); return 0; }	code for sm_80 Function : _Z11add_vectorsPiS_S_ .headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)" /0000/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 / / 0x000fe40000000f00 / /0010/ S2R R6, SR_CTAID.X ; / 0x0000000000067919 / / 0x000e280000002500 / /0020/ S2R R3, SR_TID.X ; / 0x0000000000037919 / / 0x000e240000002100 / /0030/ IMAD R6, R6, c[0x0][0x0], R3 ; / 0x0000000006067a24 / / 0x001fca00078e0203 / /0040/ ISETP.GT.AND P0, PT, R6, 0xfffff, PT ; / 0x000fffff0600780c / / 0x000fda0003f04270 / /0050/ @P0 EXIT ; / 0x000000000000094d / / 0x000fea0003800000 / /0060/ HFMA2.MMA R7, -RZ, RZ, 0, 2.384185791015625e-07 ; / 0x00000004ff077435 / / 0x000fe200000001ff / /0070/ ULDC.64 UR4, c[0x0][0x118] ; / 0x0000460000047ab9 / / 0x000fd20000000a00 / /0080/ IMAD.WIDE R4, R6, R7, c[0x0][0x168] ; / 0x00005a0006047625 / / 0x000fc800078e0207 / /0090/ IMAD.WIDE R2, R6.reuse, R7.reuse, c[0x0][0x160] ; / 0x0000580006027625 / / 0x0c0fe400078e0207 / /00a0/ LDG.E R4, [R4.64] ; / 0x0000000404047981 / / 0x000ea8000c1e1900 / /00b0/ LDG.E R3, [R2.64] ; / 0x0000000402037981 / / 0x000ea2000c1e1900 / /00c0/ IMAD.WIDE R6, R6, R7, c[0x0][0x170] ; / 0x00005c0006067625 / / 0x000fe200078e0207 / /00d0/ IADD3 R9, R4, R3, RZ ; / 0x0000000304097210 / / 0x004fca0007ffe0ff / /00e0/ STG.E [R6.64], R9 ; / 0x0000000906007986 / / 0x000fe2000c101904 / /00f0/ EXIT ; / 0x000000000000794d / / 0x000fea0003800000 / /0100/ BRA 0x100; / 0xfffffff000007947 / / 0x000fc0000383ffff / /0110/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0120/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0130/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0140/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0150/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0160/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0170/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0180/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /0190/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01a0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01b0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01c0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01d0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01e0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 / /01f0/ NOP; / 0x0000000000007918 / / 0x000fc00000000000 */ ..........
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.	#include <stdio.h> // Size of array #define N 1048576 // Kernel __global__ void add_vectors(int a, int b, int c) { int id = blockDim.x blockIdx.x + threadIdx.x; if(id < N) c[id] = a[id] + b[id]; } // Main program int main() { // Number of bytes to allocate for N integers size_t bytes = Nsizeof(int); // Allocate memory for arrays A, B, and C on host int A = (int)malloc(bytes); int B = (int)malloc(bytes); int C = (int)malloc(bytes); // Allocate memory for arrays d_A, d_B, and d_C on device int d_A, d_B, d_C; cudaMalloc(&d_A, bytes); cudaMalloc(&d_B, bytes); cudaMalloc(&d_C, bytes); // Fill host arrays A and B for(int i=0; i<N; i++) { A[i] = 1; B[i] = 2; } // Copy data from host arrays A and B to device arrays d_A and d_B cudaMemcpy(d_A, A, bytes, cudaMemcpyHostToDevice); cudaMemcpy(d_B, B, bytes, cudaMemcpyHostToDevice); // Set execution configuration parameters // thr_per_blk: number of CUDA threads per grid block // blk_in_grid: number of blocks in grid int thr_per_blk = 256; int blk_in_grid = ceil( float(N) / thr_per_blk ); // Launch kernel add_vectors<<< blk_in_grid, thr_per_blk >>>(d_A, d_B, d_C); // Copy data from device array d_C to host array C cudaMemcpy(C, d_C, bytes, cudaMemcpyDeviceToHost); // Verify results for(int i=0; i<N; i++) { if(C[i] != 3) { printf("\nError: value of C[%d] = %d instead of 3\n\n", i, C[i]); exit(-1); } } // Free CPU memory free(A); free(B); free(C); // Free GPU memory cudaFree(d_A); cudaFree(d_B); cudaFree(d_C); printf("\n---------------------------\n"); printf("__SUCCESS__\n"); printf("---------------------------\n"); printf("N = %d\n", N); printf("Threads Per Block = %d\n", thr_per_blk); printf("Blocks In Grid = %d\n", blk_in_grid); printf("---------------------------\n\n"); return 0; }	.file "tmpxft_001107ef_00000000-6_vector_addition.cudafe1.cpp" .text #APP #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB2060: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnregisterFatBinary@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2060: .size _ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv .globl _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_ .type _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_, @function _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_: .LFB2082: .cfi_startproc endbr64 subq $136, %rsp .cfi_def_cfa_offset 144 movq %rdi, 24(%rsp) movq %rsi, 16(%rsp) movq %rdx, 8(%rsp) movq %fs:40, %rax movq %rax, 120(%rsp) xorl %eax, %eax leaq 24(%rsp), %rax movq %rax, 96(%rsp) leaq 16(%rsp), %rax movq %rax, 104(%rsp) leaq 8(%rsp), %rax movq %rax, 112(%rsp) movl $1, 48(%rsp) movl $1, 52(%rsp) movl $1, 56(%rsp) movl $1, 60(%rsp) movl $1, 64(%rsp) movl $1, 68(%rsp) leaq 40(%rsp), %rcx leaq 32(%rsp), %rdx leaq 60(%rsp), %rsi leaq 48(%rsp), %rdi call __cudaPopCallConfiguration@PLT testl %eax, %eax je .L7 .L3: movq 120(%rsp), %rax subq %fs:40, %rax jne .L8 addq $136, %rsp .cfi_remember_state .cfi_def_cfa_offset 8 ret .L7: .cfi_restore_state pushq 40(%rsp) .cfi_def_cfa_offset 152 pushq 40(%rsp) .cfi_def_cfa_offset 160 leaq 112(%rsp), %r9 movq 76(%rsp), %rcx movl 84(%rsp), %r8d movq 64(%rsp), %rsi movl 72(%rsp), %edx leaq _Z11add_vectorsPiS_S_(%rip), %rdi call cudaLaunchKernel@PLT addq $16, %rsp .cfi_def_cfa_offset 144 jmp .L3 .L8: call __stack_chk_fail@PLT .cfi_endproc .LFE2082: .size _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_, .-_Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_ .globl _Z11add_vectorsPiS_S_ .type _Z11add_vectorsPiS_S_, @function _Z11add_vectorsPiS_S_: .LFB2083: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 call _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_ addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2083: .size _Z11add_vectorsPiS_S_, .-_Z11add_vectorsPiS_S_ .section .rodata.str1.8,"aMS",@progbits,1 .align 8 .LC0: .string "\nError: value of C[%d] = %d instead of 3\n\n" .section .rodata.str1.1,"aMS",@progbits,1 .LC1: .string "\n---------------------------\n" .LC2: .string "__SUCCESS__\n" .LC3: .string "---------------------------\n" .LC4: .string "N = %d\n" .LC5: .string "Threads Per Block = %d\n" .LC6: .string "Blocks In Grid = %d\n" .LC7: .string "---------------------------\n\n" .text .globl main .type main, @function main: .LFB2057: .cfi_startproc endbr64 pushq %r12 .cfi_def_cfa_offset 16 .cfi_offset 12, -16 pushq %rbp .cfi_def_cfa_offset 24 .cfi_offset 6, -24 pushq %rbx .cfi_def_cfa_offset 32 .cfi_offset 3, -32 subq $64, %rsp .cfi_def_cfa_offset 96 movq %fs:40, %rax movq %rax, 56(%rsp) xorl %eax, %eax movl $4194304, %edi call malloc@PLT movq %rax, %rbp movl $4194304, %edi call malloc@PLT movq %rax, %rbx movl $4194304, %edi call malloc@PLT movq %rax, %r12 leaq 8(%rsp), %rdi movl $4194304, %esi call cudaMalloc@PLT leaq 16(%rsp), %rdi movl $4194304, %esi call cudaMalloc@PLT leaq 24(%rsp), %rdi movl $4194304, %esi call cudaMalloc@PLT movl $0, %eax .L12: movl $1, 0(%rbp,%rax) movl $2, (%rbx,%rax) addq $4, %rax cmpq $4194304, %rax jne .L12 movl $1, %ecx movl $4194304, %edx movq %rbp, %rsi movq 8(%rsp), %rdi call cudaMemcpy@PLT movl $1, %ecx movl $4194304, %edx movq %rbx, %rsi movq 16(%rsp), %rdi call cudaMemcpy@PLT movl $256, 44(%rsp) movl $1, 48(%rsp) movl $4096, 32(%rsp) movl $1, 36(%rsp) movl $0, %r9d movl $0, %r8d movq 44(%rsp), %rdx movl $1, %ecx movq 32(%rsp), %rdi movl $1, %esi call __cudaPushCallConfiguration@PLT testl %eax, %eax je .L20 .L13: movl $2, %ecx movl $4194304, %edx movq 24(%rsp), %rsi movq %r12, %rdi call cudaMemcpy@PLT movl $0, %eax .L15: movl (%r12,%rax,4), %ecx cmpl $3, %ecx jne .L21 addq $1, %rax cmpq $1048576, %rax jne .L15 movq %rbp, %rdi call free@PLT movq %rbx, %rdi call free@PLT movq %r12, %rdi call free@PLT movq 8(%rsp), %rdi call cudaFree@PLT movq 16(%rsp), %rdi call cudaFree@PLT movq 24(%rsp), %rdi call cudaFree@PLT leaq .LC1(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT leaq .LC2(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT leaq .LC3(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $1048576, %edx leaq .LC4(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $256, %edx leaq .LC5(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $4096, %edx leaq .LC6(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT leaq .LC7(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movq 56(%rsp), %rax subq %fs:40, %rax jne .L22 movl $0, %eax addq $64, %rsp .cfi_remember_state .cfi_def_cfa_offset 32 popq %rbx .cfi_def_cfa_offset 24 popq %rbp .cfi_def_cfa_offset 16 popq %r12 .cfi_def_cfa_offset 8 ret .L20: .cfi_restore_state movq 24(%rsp), %rdx movq 16(%rsp), %rsi movq 8(%rsp), %rdi call _Z35__device_stub__Z11add_vectorsPiS_S_PiS_S_ jmp .L13 .L21: movl %eax, %edx leaq .LC0(%rip), %rsi movl $2, %edi movl $0, %eax call __printf_chk@PLT movl $-1, %edi call exit@PLT .L22: call __stack_chk_fail@PLT .cfi_endproc .LFE2057: .size main, .-main .section .rodata.str1.1 .LC8: .string "_Z11add_vectorsPiS_S_" .text .type _ZL24__sti____cudaRegisterAllv, @function _ZL24__sti____cudaRegisterAllv: .LFB2085: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 leaq _ZL15__fatDeviceText(%rip), %rdi call __cudaRegisterFatBinary@PLT movq %rax, %rdi movq %rax, _ZL20__cudaFatCubinHandle(%rip) pushq $0 .cfi_def_cfa_offset 24 pushq $0 .cfi_def_cfa_offset 32 pushq $0 .cfi_def_cfa_offset 40 pushq $0 .cfi_def_cfa_offset 48 movl $0, %r9d movl $-1, %r8d leaq .LC8(%rip), %rdx movq %rdx, %rcx leaq _Z11add_vectorsPiS_S_(%rip), %rsi call __cudaRegisterFunction@PLT addq $32, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaRegisterFatBinaryEnd@PLT leaq _ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi call atexit@PLT addq $8, %rsp .cfi_def_cfa_offset 8 ret .cfi_endproc .LFE2085: .size _ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv .section .init_array,"aw" .align 8 .quad _ZL24__sti____cudaRegisterAllv .section .nvFatBinSegment,"aw" .align 8 .type _ZL15__fatDeviceText, @object .size _ZL15__fatDeviceText, 24 _ZL15__fatDeviceText: .long 1180844977 .long 1 .quad fatbinData .quad 0 .local _ZL20__cudaFatCubinHandle .comm _ZL20__cudaFatCubinHandle,8,8 .ident "GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0" .section .note.GNU-stack,"",@progbits .section .note.gnu.property,"a" .align 8 .long 1f - 0f .long 4f - 1f .long 5 0: .string "GNU" 1: .align 8 .long 0xc0000002 .long 3f - 2f 2: .long 0x3 3: .align 8 4:
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.	#include <stdio.h> // Size of array #define N 1048576 // Kernel __global__ void add_vectors(int a, int b, int c) { int id = blockDim.x blockIdx.x + threadIdx.x; if(id < N) c[id] = a[id] + b[id]; } // Main program int main() { // Number of bytes to allocate for N integers size_t bytes = Nsizeof(int); // Allocate memory for arrays A, B, and C on host int A = (int)malloc(bytes); int B = (int)malloc(bytes); int C = (int)malloc(bytes); // Allocate memory for arrays d_A, d_B, and d_C on device int d_A, d_B, d_C; cudaMalloc(&d_A, bytes); cudaMalloc(&d_B, bytes); cudaMalloc(&d_C, bytes); // Fill host arrays A and B for(int i=0; i<N; i++) { A[i] = 1; B[i] = 2; } // Copy data from host arrays A and B to device arrays d_A and d_B cudaMemcpy(d_A, A, bytes, cudaMemcpyHostToDevice); cudaMemcpy(d_B, B, bytes, cudaMemcpyHostToDevice); // Set execution configuration parameters // thr_per_blk: number of CUDA threads per grid block // blk_in_grid: number of blocks in grid int thr_per_blk = 256; int blk_in_grid = ceil( float(N) / thr_per_blk ); // Launch kernel add_vectors<<< blk_in_grid, thr_per_blk >>>(d_A, d_B, d_C); // Copy data from device array d_C to host array C cudaMemcpy(C, d_C, bytes, cudaMemcpyDeviceToHost); // Verify results for(int i=0; i<N; i++) { if(C[i] != 3) { printf("\nError: value of C[%d] = %d instead of 3\n\n", i, C[i]); exit(-1); } } // Free CPU memory free(A); free(B); free(C); // Free GPU memory cudaFree(d_A); cudaFree(d_B); cudaFree(d_C); printf("\n---------------------------\n"); printf("__SUCCESS__\n"); printf("---------------------------\n"); printf("N = %d\n", N); printf("Threads Per Block = %d\n", thr_per_blk); printf("Blocks In Grid = %d\n", blk_in_grid); printf("---------------------------\n\n"); return 0; }	#include <hip/hip_runtime.h> #include <stdio.h> // Size of array #define N 1048576 // Kernel __global__ void add_vectors(int a, int b, int c) { int id = blockDim.x blockIdx.x + threadIdx.x; if(id < N) c[id] = a[id] + b[id]; } // Main program int main() { // Number of bytes to allocate for N integers size_t bytes = Nsizeof(int); // Allocate memory for arrays A, B, and C on host int A = (int)malloc(bytes); int B = (int)malloc(bytes); int C = (int)malloc(bytes); // Allocate memory for arrays d_A, d_B, and d_C on device int d_A, d_B, d_C; hipMalloc(&d_A, bytes); hipMalloc(&d_B, bytes); hipMalloc(&d_C, bytes); // Fill host arrays A and B for(int i=0; i<N; i++) { A[i] = 1; B[i] = 2; } // Copy data from host arrays A and B to device arrays d_A and d_B hipMemcpy(d_A, A, bytes, hipMemcpyHostToDevice); hipMemcpy(d_B, B, bytes, hipMemcpyHostToDevice); // Set execution configuration parameters // thr_per_blk: number of CUDA threads per grid block // blk_in_grid: number of blocks in grid int thr_per_blk = 256; int blk_in_grid = ceil( float(N) / thr_per_blk ); // Launch kernel add_vectors<<< blk_in_grid, thr_per_blk >>>(d_A, d_B, d_C); // Copy data from device array d_C to host array C hipMemcpy(C, d_C, bytes, hipMemcpyDeviceToHost); // Verify results for(int i=0; i<N; i++) { if(C[i] != 3) { printf("\nError: value of C[%d] = %d instead of 3\n\n", i, C[i]); exit(-1); } } // Free CPU memory free(A); free(B); free(C); // Free GPU memory hipFree(d_A); hipFree(d_B); hipFree(d_C); printf("\n---------------------------\n"); printf("__SUCCESS__\n"); printf("---------------------------\n"); printf("N = %d\n", N); printf("Threads Per Block = %d\n", thr_per_blk); printf("Blocks In Grid = %d\n", blk_in_grid); printf("---------------------------\n\n"); return 0; }

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