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You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0009d04b_00000000-6_testing_size_of_shared_memory.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 __cudaUnregisterFatBin...
.text .file "testing_size_of_shared_memory.hip" .globl _Z14checkCUDAErrorPKc # -- Begin function _Z14checkCUDAErrorPKc .p2align 4, 0x90 .type _Z14checkCUDAErrorPKc,@function _Z14checkCUDAErrorPKc: # @_Z14checkCUDAErrorPKc .cfi_startproc # %bb.0: pushq %r14 .cfi_def_cfa_offset 16 pushq %rbx .c...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU cudaMalloc((void**)&dev_a,N*sizeof(i...
code for sm_80 Function : _Z6addvecPiS_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 */ /* 0x000e240000002500 */ /*0020*/...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU cudaMalloc((void**)&dev_a,N*sizeof(i...
.file "tmpxft_001236da_00000000-6_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...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU cudaMalloc((void**)&dev_a,N*sizeof(i...
#include <hip/hip_runtime.h> #include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU hipMall...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU hipMall...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z6addvecPiS_S_ .globl _Z6addvecPiS_S_ .p2align 8 .type _Z6addvecPiS_S_,@function _Z6addvecPiS_S_: s_cmpk_gt_i32 s15, 0x3e7 s_cbranch_scc1 .LBB0_2 s_load_b128 s[4:7], s[0:1], 0x0 s_mov_b32 s2, s15 s_ashr_i32 s3, s15, 31 s_load...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include<stdio.h> #define N 1000 __global__ void addvec(int *a, int *b, int *c) { int tid=blockIdx.x; //manejar los datos a este índice if(tid<N) c[tid]=a[tid]+b[tid]; } //función principal int main(void){ int a[N], b[N], c[N]; int *dev_a, *dev_b, *dev_c; //asignar memoria en la GPU hipMall...
.text .file "addition.hip" .globl _Z21__device_stub__addvecPiS_S_ # -- Begin function _Z21__device_stub__addvecPiS_S_ .p2align 4, 0x90 .type _Z21__device_stub__addvecPiS_S_,@function _Z21__device_stub__addvecPiS_S_: # @_Z21__device_stub__addvecPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 11...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z6addvecPiS_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 */ /* 0x000e240000002500 */ /*0020*/...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z6addvecPiS_S_ .globl _Z6addvecPiS_S_ .p2align 8 .type _Z6addvecPiS_S_,@function _Z6addvecPiS_S_: s_cmpk_gt_i32 s15, 0x3e7 s_cbranch_scc1 .LBB0_2 s_load_b128 s[4:7], s[0:1], 0x0 s_mov_b32 s2, s15 s_ashr_i32 s3, s15, 31 s_load...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001236da_00000000-6_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...
.text .file "addition.hip" .globl _Z21__device_stub__addvecPiS_S_ # -- Begin function _Z21__device_stub__addvecPiS_S_ .p2align 4, 0x90 .type _Z21__device_stub__addvecPiS_S_,@function _Z21__device_stub__addvecPiS_S_: # @_Z21__device_stub__addvecPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 11...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSize); i++) { if (i < totalPixel...
code for sm_80 Function : _Z24kernelCalculateHistogramPjPhll .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][0x170] ; /*...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSize); i++) { if (i < totalPixel...
.file "tmpxft_001b9132_00000000-6_kernelCalculateHistogram.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@P...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSize); i++) { if (i < totalPixel...
#include <hip/hip_runtime.h> #include "includes.h" __global__ void kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSiz...
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 kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSiz...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z24kernelCalculateHistogramPjPhll .globl _Z24kernelCalculateHistogramPjPhll .p2align 8 .type _Z24kernelCalculateHistogramPjPhll,@function _Z24kernelCalculateHistogramPjPhll: s_clause 0x1 s_load_b32 s4, s[0:1], 0x2c s_load_b64 s[2:3], s[0:1], 0x10 s_wai...
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 kernelCalculateHistogram(unsigned int* histogram, unsigned char* rawPixels, long chunkSize, long totalPixels) { int id = blockDim.x * blockIdx.x + threadIdx.x; int startPosition = id * chunkSize; for (int i = startPosition; i < (startPosition + chunkSiz...
.text .file "kernelCalculateHistogram.hip" .globl _Z39__device_stub__kernelCalculateHistogramPjPhll # -- Begin function _Z39__device_stub__kernelCalculateHistogramPjPhll .p2align 4, 0x90 .type _Z39__device_stub__kernelCalculateHistogramPjPhll,@function _Z39__device_stub__kernelCalculateHistogramPjPhll: # @_Z39__device_...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z24kernelCalculateHistogramPjPhll .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][0x170] ; /*...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z24kernelCalculateHistogramPjPhll .globl _Z24kernelCalculateHistogramPjPhll .p2align 8 .type _Z24kernelCalculateHistogramPjPhll,@function _Z24kernelCalculateHistogramPjPhll: s_clause 0x1 s_load_b32 s4, s[0:1], 0x2c s_load_b64 s[2:3], s[0:1], 0x10 s_wai...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001b9132_00000000-6_kernelCalculateHistogram.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@P...
.text .file "kernelCalculateHistogram.hip" .globl _Z39__device_stub__kernelCalculateHistogramPjPhll # -- Begin function _Z39__device_stub__kernelCalculateHistogramPjPhll .p2align 4, 0x90 .type _Z39__device_stub__kernelCalculateHistogramPjPhll,@function _Z39__device_stub__kernelCalculateHistogramPjPhll: # @_Z39__device_...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = blockDim.x * bIdx + threadIdx.x; c...
code for sm_80 Function : _Z17initTempNodeArrayiiPiS_S_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*/ S2R R0, SR_CTAID.Y ; /* 0x0000000000007919 */ ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = blockDim.x * bIdx + threadIdx.x; c...
.file "tmpxft_000fe717_00000000-6_initTempNodeArray.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...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = blockDim.x * bIdx + threadIdx.x; c...
#include <hip/hip_runtime.h> #include "includes.h" __global__ void initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = block...
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 initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = block...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z17initTempNodeArrayiiPiS_S_S_ .globl _Z17initTempNodeArrayiiPiS_S_S_ .p2align 8 .type _Z17initTempNodeArrayiiPiS_S_S_,@function _Z17initTempNodeArrayiiPiS_S_S_: s_clause 0x2 s_load_b32 s2, s[0:1], 0x28 s_load_b32 s3, s[0:1], 0x34 s_load_b64 s[4:5],...
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 initTempNodeArray( const int hitNum, const int allowableGap, int* tempNodeArray_score, int* tempNodeArray_vertical, int* tempNodeArray_horizontal, int* tempNodeArray_matchNum) { const int bIdx = gridDim.x * blockIdx.y + blockIdx.x; const int idx = block...
.text .file "initTempNodeArray.hip" .globl _Z32__device_stub__initTempNodeArrayiiPiS_S_S_ # -- Begin function _Z32__device_stub__initTempNodeArrayiiPiS_S_S_ .p2align 4, 0x90 .type _Z32__device_stub__initTempNodeArrayiiPiS_S_S_,@function _Z32__device_stub__initTempNodeArrayiiPiS_S_S_: # @_Z32__device_stub__initTempNodeA...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z17initTempNodeArrayiiPiS_S_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*/ S2R R0, SR_CTAID.Y ; /* 0x0000000000007919 */ ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z17initTempNodeArrayiiPiS_S_S_ .globl _Z17initTempNodeArrayiiPiS_S_S_ .p2align 8 .type _Z17initTempNodeArrayiiPiS_S_S_,@function _Z17initTempNodeArrayiiPiS_S_S_: s_clause 0x2 s_load_b32 s2, s[0:1], 0x28 s_load_b32 s3, s[0:1], 0x34 s_load_b64 s[4:5],...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000fe717_00000000-6_initTempNodeArray.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...
.text .file "initTempNodeArray.hip" .globl _Z32__device_stub__initTempNodeArrayiiPiS_S_S_ # -- Begin function _Z32__device_stub__initTempNodeArrayiiPiS_S_S_ .p2align 4, 0x90 .type _Z32__device_stub__initTempNodeArrayiiPiS_S_S_,@function _Z32__device_stub__initTempNodeArrayiiPiS_S_S_: # @_Z32__device_stub__initTempNodeA...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z22matproductsharedmemoryPxS_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*/ S2R R29, SR_TID.X ; /* 0x00000000001d7919 */ ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z22matproductsharedmemoryPxS_S_ .globl _Z22matproductsharedmemoryPxS_S_ .p2align 8 .type _Z22matproductsharedmemoryPxS_S_,@function _Z22matproductsharedmemoryPxS_S_: s_clause 0x1 s_load_b64 s[8:9], s[0:1], 0x10 s_load_b128 s[4:7], s[0:1], 0x0 s_mov_b...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00022211_00000000-6_matMatMul.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, %rs...
.text .file "matMatMul.hip" .globl _Z37__device_stub__matproductsharedmemoryPxS_S_ # -- Begin function _Z37__device_stub__matproductsharedmemoryPxS_S_ .p2align 4, 0x90 .type _Z37__device_stub__matproductsharedmemoryPxS_S_,@function _Z37__device_stub__matproductsharedmemoryPxS_S_: # @_Z37__device_stub__matproductsharedm...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <iostream> #include <fstream> #include <string> #include <unordered_map> #include <unordered_set> #include <stdlib.h> #include <vector> #include <random> using namespace std; void printNeighbours(unordered_map<long, unordered_set<long>> neighbours) { for (auto& n : neighbours) { cout << n.first << ": "; for (a...
code for sm_80
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <iostream> #include <fstream> #include <string> #include <unordered_map> #include <unordered_set> #include <stdlib.h> #include <vector> #include <random> using namespace std; void printNeighbours(unordered_map<long, unordered_set<long>> neighbours) { for (auto& n : neighbours) { cout << n.first << ": "; for (a...
#include <hip/hip_runtime.h> #include <iostream> #include <fstream> #include <string> #include <unordered_map> #include <unordered_set> #include <stdlib.h> #include <vector> #include <random> using namespace std; void printNeighbours(unordered_map<long, unordered_set<long>> neighbours) { for (auto& n : neighbours) { co...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include <iostream> #include <fstream> #include <string> #include <unordered_map> #include <unordered_set> #include <stdlib.h> #include <vector> #include <random> using namespace std; void printNeighbours(unordered_map<long, unordered_set<long>> neighbours) { for (auto& n : neighbours) { co...
.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 e5bf7...
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 e5bf7...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAdd(&rnd[(unsigned long int)n],...
code for sm_80 Function : _Z6genranPid .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 R2, SR_CTAID.X ; /* 0x0000000000027919 */ /* 0x000e2200000025...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAdd(&rnd[(unsigned long int)n],...
.file "tmpxft_0016f7e6_00000000-6_cuda10.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3672: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnr...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAdd(&rnd[(unsigned long int)n],...
#include <hip/hip_runtime.h> #include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAd...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAd...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z6genranPid .globl _Z6genranPid .p2align 8 .type _Z6genranPid,@function _Z6genranPid: s_load_b32 s2, s[0:1], 0x1c s_mov_b32 s8, 0 s_mov_b32 s3, exec_lo s_waitcnt lgkmcnt(0) s_and_b32 s2, s2, 0xffff s_delay_alu instid0(S...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include <iostream> #include <math.h> // Kernel function to generate random numbers __global__ void genran(int *rnd,double m) { double n,a=1103515245, c=12345; n=blockIdx.x*blockDim.x+threadIdx.x; //n=threadIdx.x; for(int i=0;i<threadIdx.x;i++) n=fmod(((n*a)+c),m); __syncthreads(); atomicAd...
.text .file "cuda10.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z21__device_stub__genranPid # -- Begin function _Z21__device_stub__genranPid .p2align 4, 0x90 .t...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0016f7e6_00000000-6_cuda10.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3672: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cudaUnr...
.text .file "cuda10.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z21__device_stub__genranPid # -- Begin function _Z21__device_stub__genranPid .p2align 4, 0x90 .t...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]; } else { // Critical depth ...
code for sm_80 Function : _Z16LeftRightBound2DPdS_S_S_iii .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 */ /* 0x000e28000000...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]; } else { // Critical depth ...
.file "tmpxft_00021ec0_00000000-6_LeftRightBound2D.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 ...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]; } else { // Critical depth ...
#include <hip/hip_runtime.h> #include "includes.h" __global__ void LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]...
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 LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16LeftRightBound2DPdS_S_S_iii .globl _Z16LeftRightBound2DPdS_S_S_iii .p2align 8 .type _Z16LeftRightBound2DPdS_S_S_iii,@function _Z16LeftRightBound2DPdS_S_S_iii: s_clause 0x1 s_load_b32 s4, s[0:1], 0x3c s_load_b32 s10, s[0:1], 0x24 s_add_u32 s2, s0,...
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 LeftRightBound2D(double *Hs, double *Ztopo, double *K2e, double *K2w, int BC2D, int M, int N) { int tid = threadIdx.x + blockIdx.x * blockDim.x; while (tid < M) { // no-flow BCs if (BC2D == 0) { Hs[tid*N] = Hs[tid*N+1]; Hs[(tid+1)*N-1] = Hs[(tid+1)*N-2]...
.text .file "LeftRightBound2D.hip" .globl _Z31__device_stub__LeftRightBound2DPdS_S_S_iii # -- Begin function _Z31__device_stub__LeftRightBound2DPdS_S_S_iii .p2align 4, 0x90 .type _Z31__device_stub__LeftRightBound2DPdS_S_S_iii,@function _Z31__device_stub__LeftRightBound2DPdS_S_S_iii: # @_Z31__device_stub__LeftRightBound...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z16LeftRightBound2DPdS_S_S_iii .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 */ /* 0x000e28000000...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z16LeftRightBound2DPdS_S_S_iii .globl _Z16LeftRightBound2DPdS_S_S_iii .p2align 8 .type _Z16LeftRightBound2DPdS_S_S_iii,@function _Z16LeftRightBound2DPdS_S_S_iii: s_clause 0x1 s_load_b32 s4, s[0:1], 0x3c s_load_b32 s10, s[0:1], 0x24 s_add_u32 s2, s0,...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00021ec0_00000000-6_LeftRightBound2D.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 ...
.text .file "LeftRightBound2D.hip" .globl _Z31__device_stub__LeftRightBound2DPdS_S_S_iii # -- Begin function _Z31__device_stub__LeftRightBound2DPdS_S_S_iii .p2align 4, 0x90 .type _Z31__device_stub__LeftRightBound2DPdS_S_S_iii,@function _Z31__device_stub__LeftRightBound2DPdS_S_S_iii: # @_Z31__device_stub__LeftRightBound...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <thrust/device_vector.h> #include <thrust/host_vector.h> #include <iostream> #include <ctype.h> #include <vector> #include <string> typedef std::vector<double> double_vec; int main() { double_vec aapl, msft; std::string values; std::string delimiter = " "; while (true) { std::getline(std::cin, values); if (!is...
#include <hip/hip_runtime.h> #include <thrust/device_vector.h> #include <thrust/host_vector.h> #include <iostream> #include <ctype.h> #include <vector> #include <string> typedef std::vector<double> double_vec; int main() { double_vec aapl, msft; std::string values; std::string delimiter = " "; while (true) { std::getli...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void lga_filter_backward (const int n, const float *bottom_data, const float *top_diff, const int height, const int width, const int channel, const int radius, float *filter_diff){ int index = blockIdx.x * blockDim.x + threadIdx.x; if (index >= n) { return; } int step = height * width; ...
.file "tmpxft_000d69f3_00000000-6_lga_filter_backward.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 ad...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void lga_filter_backward (const int n, const float *bottom_data, const float *top_diff, const int height, const int width, const int channel, const int radius, float *filter_diff){ int index = blockIdx.x * blockDim.x + threadIdx.x; if (index >= n) { return; } int step = height * width; ...
#include <hip/hip_runtime.h> #include "includes.h" __global__ void lga_filter_backward (const int n, const float *bottom_data, const float *top_diff, const int height, const int width, const int channel, const int radius, float *filter_diff){ int index = blockIdx.x * blockDim.x + threadIdx.x; if (index >= n) { return; ...
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 lga_filter_backward (const int n, const float *bottom_data, const float *top_diff, const int height, const int width, const int channel, const int radius, float *filter_diff){ int index = blockIdx.x * blockDim.x + threadIdx.x; if (index >= n) { return; ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z19lga_filter_backwardiPKfS0_iiiiPf .globl _Z19lga_filter_backwardiPKfS0_iiiiPf .p2align 8 .type _Z19lga_filter_backwardiPKfS0_iiiiPf,@function _Z19lga_filter_backwardiPKfS0_iiiiPf: s_clause 0x1 s_load_b32 s2, s[0:1], 0x3c s_load_b32 s3, s[0:1], 0x0 s_wa...
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 lga_filter_backward (const int n, const float *bottom_data, const float *top_diff, const int height, const int width, const int channel, const int radius, float *filter_diff){ int index = blockIdx.x * blockDim.x + threadIdx.x; if (index >= n) { return; ...
.text .file "lga_filter_backward.hip" .globl _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf # -- Begin function _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf .p2align 4, 0x90 .type _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf,@function _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf: # @_Z34__devi...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000d69f3_00000000-6_lga_filter_backward.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 ad...
.text .file "lga_filter_backward.hip" .globl _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf # -- Begin function _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf .p2align 4, 0x90 .type _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf,@function _Z34__device_stub__lga_filter_backwardiPKfS0_iiiiPf: # @_Z34__devi...
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 e5bf7...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include "includes.h" __global__ void BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float iT, iB; if (id < size) { //ou...
code for sm_80 Function : _Z22BilinearResampleKernelPfS_iiii .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 R0, SR_CTAID.Y ; /* 0x0000000000007919 ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include "includes.h" __global__ void BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float iT, iB; if (id < size) { //ou...
.file "tmpxft_000d3e34_00000000-6_BilinearResampleKernel.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...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include "includes.h" __global__ void BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float iT, iB; if (id < size) { //ou...
#include <hip/hip_runtime.h> #include "includes.h" __global__ void BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float ...
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 BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z22BilinearResampleKernelPfS_iiii .globl _Z22BilinearResampleKernelPfS_iiii .p2align 8 .type _Z22BilinearResampleKernelPfS_iiii,@function _Z22BilinearResampleKernelPfS_iiii: s_clause 0x2 s_load_b32 s2, s[0:1], 0x20 s_load_b32 s3, s[0:1], 0x2c s_load_b6...
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 BilinearResampleKernel(float *input, float *output, int inputWidth, int inputHeight, int outputWidth, int outputHeight) { int id = blockDim.x * blockIdx.y * gridDim.x + blockDim.x * blockIdx.x + threadIdx.x; int size = outputWidth * outputHeight; float ...
.text .file "BilinearResampleKernel.hip" .globl _Z37__device_stub__BilinearResampleKernelPfS_iiii # -- Begin function _Z37__device_stub__BilinearResampleKernelPfS_iiii .p2align 4, 0x90 .type _Z37__device_stub__BilinearResampleKernelPfS_iiii,@function _Z37__device_stub__BilinearResampleKernelPfS_iiii: # @_Z37__device_st...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z22BilinearResampleKernelPfS_iiii .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 R0, SR_CTAID.Y ; /* 0x0000000000007919 ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z22BilinearResampleKernelPfS_iiii .globl _Z22BilinearResampleKernelPfS_iiii .p2align 8 .type _Z22BilinearResampleKernelPfS_iiii,@function _Z22BilinearResampleKernelPfS_iiii: s_clause 0x2 s_load_b32 s2, s[0:1], 0x20 s_load_b32 s3, s[0:1], 0x2c s_load_b6...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000d3e34_00000000-6_BilinearResampleKernel.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...
.text .file "BilinearResampleKernel.hip" .globl _Z37__device_stub__BilinearResampleKernelPfS_iiii # -- Begin function _Z37__device_stub__BilinearResampleKernelPfS_iiii .p2align 4, 0x90 .type _Z37__device_stub__BilinearResampleKernelPfS_iiii,@function _Z37__device_stub__BilinearResampleKernelPfS_iiii: # @_Z37__device_st...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); cudaMalloc((void**)&d_a,size); cudaMalloc((void**)&d_b,size); cudaMalloc((void**)&d_c,size); a = 3; b = 5; cudaMemcpy(d_a,&a,size,cudaMemcpyHos...
code for sm_80 Function : _Z3addPiS_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 */...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); cudaMalloc((void**)&d_a,size); cudaMalloc((void**)&d_b,size); cudaMalloc((void**)&d_c,size); a = 3; b = 5; cudaMemcpy(d_a,&a,size,cudaMemcpyHos...
.file "tmpxft_000dee9c_00000000-6_sample.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 ....
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); cudaMalloc((void**)&d_a,size); cudaMalloc((void**)&d_b,size); cudaMalloc((void**)&d_c,size); a = 3; b = 5; cudaMemcpy(d_a,&a,size,cudaMemcpyHos...
#include <hip/hip_runtime.h> #include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); hipMalloc((void**)&d_a,size); hipMalloc((void**)&d_b,size); hipMalloc((void**)&d_c,size); a = 3; b = 5; hipMemcpy(...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); hipMalloc((void**)&d_a,size); hipMalloc((void**)&d_b,size); hipMalloc((void**)&d_c,size); a = 3; b = 5; hipMemcpy(...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z3addPiS_S_ .globl _Z3addPiS_S_ .p2align 8 .type _Z3addPiS_S_,@function _Z3addPiS_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_b...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include<stdlib.h> #include<stdio.h> __global__ void add(int* a , int *b,int *c) { *c = *a + *b; } int main(void) { int a , b ,c; int *d_a , *d_b ,*d_c; int size = sizeof(int); hipMalloc((void**)&d_a,size); hipMalloc((void**)&d_b,size); hipMalloc((void**)&d_c,size); a = 3; b = 5; hipMemcpy(...
.text .file "sample.hip" .globl _Z18__device_stub__addPiS_S_ # -- Begin function _Z18__device_stub__addPiS_S_ .p2align 4, 0x90 .type _Z18__device_stub__addPiS_S_,@function _Z18__device_stub__addPiS_S_: # @_Z18__device_stub__addPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z3addPiS_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 */...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z3addPiS_S_ .globl _Z3addPiS_S_ .p2align 8 .type _Z3addPiS_S_,@function _Z3addPiS_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_b...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000dee9c_00000000-6_sample.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 ....
.text .file "sample.hip" .globl _Z18__device_stub__addPiS_S_ # -- Begin function _Z18__device_stub__addPiS_S_ .p2align 4, 0x90 .type _Z18__device_stub__addPiS_S_,@function _Z18__device_stub__addPiS_S_: # @_Z18__device_stub__addPiS_S_ .cfi_startproc # %bb.0: subq $104, %rsp .cfi_def_cfa_offset 112 movq %rdi...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> #include <stdlib.h> #define BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int row = blockIdx.y * blockDim.y...
code for sm_80 Function : _Z12MatMulKernel6MatrixS_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 R0, SR_CTAID.X ; /* 0x0000000000007919 */ /* 0x000e280000002500...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> #include <stdlib.h> #define BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int row = blockIdx.y * blockDim.y...
.file "tmpxft_001257fa_00000000-6_matrixmultiply.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...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> #include <stdlib.h> #define BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int row = blockIdx.y * blockDim.y...
#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #define BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int ...
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 BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12MatMulKernel6MatrixS_S_ .globl _Z12MatMulKernel6MatrixS_S_ .p2align 8 .type _Z12MatMulKernel6MatrixS_S_,@function _Z12MatMulKernel6MatrixS_S_: s_clause 0x2 s_load_b32 s2, s[0:1], 0x3c s_load_b32 s3, s[0:1], 0x4 s_load_b32 s6, s[0:1], 0x10 v_b...
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 BLOCK_SIZE 16 typedef struct { int width; int height; float* elements; } Matrix; __global__ void MatMulKernel(Matrix A, Matrix B, Matrix C) { // Each thread computes one element of C // by accumulating results into Cvalue float Cvalue = 0; int ...
.text .file "matrixmultiply.hip" .globl _Z27__device_stub__MatMulKernel6MatrixS_S_ # -- Begin function _Z27__device_stub__MatMulKernel6MatrixS_S_ .p2align 4, 0x90 .type _Z27__device_stub__MatMulKernel6MatrixS_S_,@function _Z27__device_stub__MatMulKernel6MatrixS_S_: # @_Z27__device_stub__MatMulKernel6MatrixS_S_ .cfi_sta...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z12MatMulKernel6MatrixS_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 R0, SR_CTAID.X ; /* 0x0000000000007919 */ /* 0x000e280000002500...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z12MatMulKernel6MatrixS_S_ .globl _Z12MatMulKernel6MatrixS_S_ .p2align 8 .type _Z12MatMulKernel6MatrixS_S_,@function _Z12MatMulKernel6MatrixS_S_: s_clause 0x2 s_load_b32 s2, s[0:1], 0x3c s_load_b32 s3, s[0:1], 0x4 s_load_b32 s6, s[0:1], 0x10 v_b...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_001257fa_00000000-6_matrixmultiply.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...
.text .file "matrixmultiply.hip" .globl _Z27__device_stub__MatMulKernel6MatrixS_S_ # -- Begin function _Z27__device_stub__MatMulKernel6MatrixS_S_ .p2align 4, 0x90 .type _Z27__device_stub__MatMulKernel6MatrixS_S_,@function _Z27__device_stub__MatMulKernel6MatrixS_S_: # @_Z27__device_stub__MatMulKernel6MatrixS_S_ .cfi_sta...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
//--------------------------------------------------------------------------------- #include <stdio.h> #include <stdlib.h> #include <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A = M x N **** AxB=C //**** B = ...
code for sm_80 Function : _Z15MatrixMulKerneliiiiiiPjS_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*/ S2R R0, SR_CTAID.Y ; /* 0x0000000000007919 */ ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
//--------------------------------------------------------------------------------- #include <stdio.h> #include <stdlib.h> #include <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A = M x N **** AxB=C //**** B = ...
.file "tmpxft_00061c9a_00000000-6_matrixMul.cudafe1.cpp" .text #APP .globl _ZSt21ios_base_library_initv #NO_APP .type _ZL26__cudaUnregisterBinaryUtilv, @function _ZL26__cudaUnregisterBinaryUtilv: .LFB3672: .cfi_startproc endbr64 subq $8, %rsp .cfi_def_cfa_offset 16 movq _ZL20__cudaFatCubinHandle(%rip), %rdi call __cuda...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
//--------------------------------------------------------------------------------- #include <stdio.h> #include <stdlib.h> #include <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A = M x N **** AxB=C //**** B = ...
//--------------------------------------------------------------------------------- #include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A =...
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 <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A =...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z15MatrixMulKerneliiiiiiPjS_S_ .globl _Z15MatrixMulKerneliiiiiiPjS_S_ .p2align 8 .type _Z15MatrixMulKerneliiiiiiPjS_S_,@function _Z15MatrixMulKerneliiiiiiPjS_S_: s_load_b32 s3, s[0:1], 0x4 v_bfe_u32 v1, v0, 10, 10 v_and_b32_e32 v0, 0x3ff, v0 s_delay...
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> #include <time.h> #include <iostream> //--------------------------------------------------------------------------------- //@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ // **** A =...
.text .file "matrixMul.hip" # Start of file scope inline assembly .globl _ZSt21ios_base_library_initv # End of file scope inline assembly .globl _Z30__device_stub__MatrixMulKerneliiiiiiPjS_S_ # -- Begin function _Z30__device_stub__MatrixMulKe...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z15MatrixMulKerneliiiiiiPjS_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*/ S2R R0, SR_CTAID.Y ; /* 0x0000000000007919 */ ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z15MatrixMulKerneliiiiiiPjS_S_ .globl _Z15MatrixMulKerneliiiiiiPjS_S_ .p2align 8 .type _Z15MatrixMulKerneliiiiiiPjS_S_,@function _Z15MatrixMulKerneliiiiiiPjS_S_: s_load_b32 s3, s[0:1], 0x4 v_bfe_u32 v1, v0, 10, 10 v_and_b32_e32 v0, 0x3ff, v0 s_delay...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(size); float *b_check = (floa...
code for sm_80 Function : _Z17vectorMultiplyBy2PfS_m .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 R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e220000002500 ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(size); float *b_check = (floa...
.file "tmpxft_0019ea13_00000000-6_vector_multiply_by_2.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 a...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(size); float *b_check = (floa...
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z17vectorMultiplyBy2PfS_m .globl _Z17vectorMultiplyBy2PfS_m .p2align 8 .type _Z17vectorMultiplyBy2PfS_m,@function _Z17vectorMultiplyBy2PfS_m: s_clause 0x1 s_load_b32 s4, s[0:1], 0x24 s_load_b128 s[0:3], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b3...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> #include <stdio.h> __global__ void vectorMultiplyBy2(float *v, float *w, size_t n) { int i = blockDim.x * blockIdx.x + threadIdx.x; w[i] = v[i] * 2; } int main() { size_t N = 1024 * 1024 * 1024; size_t size = N * sizeof(float); float *a = (float *) malloc(size); float *b = (float *) malloc(...
.text .file "vector_multiply_by_2.hip" .globl _Z32__device_stub__vectorMultiplyBy2PfS_m # -- Begin function _Z32__device_stub__vectorMultiplyBy2PfS_m .p2align 4, 0x90 .type _Z32__device_stub__vectorMultiplyBy2PfS_m,@function _Z32__device_stub__vectorMultiplyBy2PfS_m: # @_Z32__device_stub__vectorMultiplyBy2PfS_m .cfi_st...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z17vectorMultiplyBy2PfS_m .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 R4, SR_CTAID.X ; /* 0x0000000000047919 */ /* 0x000e220000002500 ...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z17vectorMultiplyBy2PfS_m .globl _Z17vectorMultiplyBy2PfS_m .p2align 8 .type _Z17vectorMultiplyBy2PfS_m,@function _Z17vectorMultiplyBy2PfS_m: s_clause 0x1 s_load_b32 s4, s[0:1], 0x24 s_load_b128 s[0:3], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_and_b3...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_0019ea13_00000000-6_vector_multiply_by_2.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 a...
.text .file "vector_multiply_by_2.hip" .globl _Z32__device_stub__vectorMultiplyBy2PfS_m # -- Begin function _Z32__device_stub__vectorMultiplyBy2PfS_m .p2align 4, 0x90 .type _Z32__device_stub__vectorMultiplyBy2PfS_m,@function _Z32__device_stub__vectorMultiplyBy2PfS_m: # @_Z32__device_stub__vectorMultiplyBy2PfS_m .cfi_st...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
/* ---------------------------------------------------------------------------- * This file was automatically generated by SWIG (http://www.swig.org). * Version 4.0.0 * * This file is not intended to be easily readable and contains a number of * coding conventions designed to improve portability and efficiency. Do not ...
/* ---------------------------------------------------------------------------- * This file was automatically generated by SWIG (http://www.swig.org). * Version 4.0.0 * * This file is not intended to be easily readable and contains a number of * coding conventions designed to improve portability and efficiency. Do not ...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); cudaGetLastError(); return 0; }
code for sm_80 Function : _Z10cuda_hellov .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*/ MOV R0, 0x0 ; /* 0x0000000000007802 */ /* 0x000fe20000000f00 *...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); cudaGetLastError(); return 0; }
.file "tmpxft_000bbab2_00000000-6_matrixNorm.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, %r...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> #include <stdlib.h> #include <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); cudaGetLastError(); return 0; }
#include <hip/hip_runtime.h> #include <stdio.h> #include <stdlib.h> #include <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); hipGetLastError(); 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 <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); hipGetLastError(); return 0; }
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10cuda_hellov .globl _Z10cuda_hellov .p2align 8 .type _Z10cuda_hellov,@function _Z10cuda_hellov: s_load_b64 s[2:3], s[0:1], 0x50 v_mbcnt_lo_u32_b32 v20, -1, 0 v_mov_b32_e32 v6, 0 s_delay_alu instid0(VALU_DEP_2) | instskip(SK...
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> #include <time.h> #include <sys/time.h> #include <math.h> __global__ void cuda_hello(){ printf("Hello World from GPU!\n"); } int main(){ cuda_hello<<<1,1>>>(); printf("Hello World from CPU!\n"); hipGetLastError(); return 0; }
.text .file "matrixNorm.hip" .globl _Z25__device_stub__cuda_hellov # -- Begin function _Z25__device_stub__cuda_hellov .p2align 4, 0x90 .type _Z25__device_stub__cuda_hellov,@function _Z25__device_stub__cuda_hellov: # @_Z25__device_stub__cuda_hellov .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 l...
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly.
code for sm_80 Function : _Z10cuda_hellov .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*/ MOV R0, 0x0 ; /* 0x0000000000007802 */ /* 0x000fe20000000f00 *...
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z10cuda_hellov .globl _Z10cuda_hellov .p2align 8 .type _Z10cuda_hellov,@function _Z10cuda_hellov: s_load_b64 s[2:3], s[0:1], 0x50 v_mbcnt_lo_u32_b32 v20, -1, 0 v_mov_b32_e32 v6, 0 s_delay_alu instid0(VALU_DEP_2) | instskip(SK...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_000bbab2_00000000-6_matrixNorm.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, %r...
.text .file "matrixNorm.hip" .globl _Z25__device_stub__cuda_hellov # -- Begin function _Z25__device_stub__cuda_hellov .p2align 4, 0x90 .type _Z25__device_stub__cuda_hellov,@function _Z25__device_stub__cuda_hellov: # @_Z25__device_stub__cuda_hellov .cfi_startproc # %bb.0: subq $56, %rsp .cfi_def_cfa_offset 64 l...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
__global__ void variance2(double *g_idata, double *g_odata, double* reduce_sum, double sum_divider){ double mean = reduce_sum[0] / sum_divider; // Sequential addressing is conflict free extern __shared__ double sdata[]; // each thread loads one element from global to shared mem unsigned int tid = threadIdx.x; unsigned...
.file "tmpxft_00065d53_00000000-6_reductionMixed.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...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
__global__ void variance2(double *g_idata, double *g_odata, double* reduce_sum, double sum_divider){ double mean = reduce_sum[0] / sum_divider; // Sequential addressing is conflict free extern __shared__ double sdata[]; // each thread loads one element from global to shared mem unsigned int tid = threadIdx.x; unsigned...
#include <hip/hip_runtime.h> //#ifndef VARIANCE_CUDA_H //#define VARIANCE_CUDA_H __global__ void variance2(double *g_idata, double *g_odata, double* reduce_sum, double sum_divider); __global__ void norm_fro(double *g_idata, double *g_odata); __global__ void norm_fro2(double *g_idata1, double *g_idata2, double *g_odata)...
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <hip/hip_runtime.h> //#ifndef VARIANCE_CUDA_H //#define VARIANCE_CUDA_H __global__ void variance2(double *g_idata, double *g_odata, double* reduce_sum, double sum_divider); __global__ void norm_fro(double *g_idata, double *g_odata); __global__ void norm_fro2(double *g_idata1, double *g_idata2, double *g_odata)...
.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 e5bf7...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <hip/hip_runtime.h> //#ifndef VARIANCE_CUDA_H //#define VARIANCE_CUDA_H __global__ void variance2(double *g_idata, double *g_odata, double* reduce_sum, double sum_divider); __global__ void norm_fro(double *g_idata, double *g_odata); __global__ void norm_fro2(double *g_idata1, double *g_idata2, double *g_odata)...
.text .file "reductionMixed.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-p...
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly.
.file "tmpxft_00065d53_00000000-6_reductionMixed.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...
.text .file "reductionMixed.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-p...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly.
#include <stdio.h> #include <cuda.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
code for sm_80 Function : _Z3fooPii .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 R5, RZ, RZ, c[0x0][0x168] ; /* 0x00005a00ff057624 */ /*...
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly.
#include <stdio.h> #include <cuda.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
.file "tmpxft_0015cd7c_00000000-6_main.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 .cf...
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code.
#include <stdio.h> #include <cuda.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
#include <stdio.h> #include <hip/hip_runtime.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly.
#include <stdio.h> #include <hip/hip_runtime.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
.text .amdgcn_target "amdgcn-amd-amdhsa--gfx1100" .protected _Z3fooPii .globl _Z3fooPii .p2align 8 .type _Z3fooPii,@function _Z3fooPii: s_clause 0x1 s_load_b32 s2, s[0:1], 0x8 s_load_b64 s[0:1], s[0:1], 0x0 s_waitcnt lgkmcnt(0) s_add_i32 s2, s2, 2 s_delay_alu instid0(SALU_CY...
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly.
#include <stdio.h> #include <hip/hip_runtime.h> #include <stdlib.h> #include <assert.h> #define N 2//64 __device__ int f(int x) { return x + 2; } __global__ void foo(int *y, int x) { *y = f(x); }
.text .file "main.hip" .globl _Z18__device_stub__fooPii # -- Begin function _Z18__device_stub__fooPii .p2align 4, 0x90 .type _Z18__device_stub__fooPii,@function _Z18__device_stub__fooPii: # @_Z18__device_stub__fooPii .cfi_startproc # %bb.0: subq $88, %rsp .cfi_def_cfa_offset 96 movq %rdi, 56(%rsp) mo...