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 <stdio.h>
#include <stdlib.h>
#define N 10 // ( N )x( N ) matrix containing data
// The idea with an aligned array is that the GPU will perform better if you pad
// it's data array so that it can fit better in cache. CUDA accomplishes this
// with the cudaMallocPitch() call. pitch (of type size_t) is the numbe... | .file "tmpxft_00105325_00000000-6_AlingMemoryExample.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
add... |
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 10 // ( N )x( N ) matrix containing data
// The idea with an aligned array is that the GPU will perform better if you pad
// it's data array so that it can fit better in cache. CUDA accomplishes this
// with the cudaMallocPitch() call. pitch (of type size_t) is the numbe... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#define N 10 // ( N )x( N ) matrix containing data
// The idea with an aligned array is that the GPU will perform better if you pad
// it's data array so that it can fit better in cache. CUDA accomplishes this
// with the cudaMallocPitch() call. pitch ... |
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 10 // ( N )x( N ) matrix containing data
// The idea with an aligned array is that the GPU will perform better if you pad
// it's data array so that it can fit better in cache. CUDA accomplishes this
// with the cudaMallocPitch() call. pitch ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6kernelPfS_i
.globl _Z6kernelPfS_i
.p2align 8
.type _Z6kernelPfS_i,@function
_Z6kernelPfS_i:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s2, s[0:1], 0x10
v_bfe_u32 v1, v0, 10, 10
v_and_b32_e32 v0, 0x3ff, v0
s_waitc... |
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 10 // ( N )x( N ) matrix containing data
// The idea with an aligned array is that the GPU will perform better if you pad
// it's data array so that it can fit better in cache. CUDA accomplishes this
// with the cudaMallocPitch() call. pitch ... | .text
.file "AlingMemoryExample.hip"
.globl _Z21__device_stub__kernelPfS_i # -- Begin function _Z21__device_stub__kernelPfS_i
.p2align 4, 0x90
.type _Z21__device_stub__kernelPfS_i,@function
_Z21__device_stub__kernelPfS_i: # @_Z21__device_stub__kernelPfS_i
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_of... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z6kernelPfS_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*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */
/* 0x000e220000002500 */
/*0020*/ ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6kernelPfS_i
.globl _Z6kernelPfS_i
.p2align 8
.type _Z6kernelPfS_i,@function
_Z6kernelPfS_i:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s2, s[0:1], 0x10
v_bfe_u32 v1, v0, 10, 10
v_and_b32_e32 v0, 0x3ff, v0
s_waitc... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00105325_00000000-6_AlingMemoryExample.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
add... | .text
.file "AlingMemoryExample.hip"
.globl _Z21__device_stub__kernelPfS_i # -- Begin function _Z21__device_stub__kernelPfS_i
.p2align 4, 0x90
.type _Z21__device_stub__kernelPfS_i,@function
_Z21__device_stub__kernelPfS_i: # @_Z21__device_stub__kernelPfS_i
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_of... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | __global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} | code for sm_80
Function : _Z14vec_add_kernelPfS_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 R0, RZ, RZ, c[0x0][0x178] ; /* 0x00005e... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | __global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} | .file "tmpxft_000e5502_00000000-6_vector-add-kernel.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. | __global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} | #include <hip/hip_runtime.h>
__global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
__global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z14vec_add_kernelPfS_S_i
.globl _Z14vec_add_kernelPfS_S_i
.p2align 8
.type _Z14vec_add_kernelPfS_S_i,@function
_Z14vec_add_kernelPfS_S_i:
s_load_b32 s2, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_cmp_lt_i32 s2, 1
s_cbranch_scc1 .LBB0_2
s_clause 0x1
s... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
__global__ void vec_add_kernel(float *c, float *a, float *b, int n) {
int i = 0; // Oops! Something is not right here, please fix it!
if (i < n) {
c[i] = a[i] + b[i];
}
} | .text
.file "vector-add-kernel.hip"
.globl _Z29__device_stub__vec_add_kernelPfS_S_i # -- Begin function _Z29__device_stub__vec_add_kernelPfS_S_i
.p2align 4, 0x90
.type _Z29__device_stub__vec_add_kernelPfS_S_i,@function
_Z29__device_stub__vec_add_kernelPfS_S_i: # @_Z29__device_stub__vec_add_kernelPfS_S_i
.cfi_startproc
... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z14vec_add_kernelPfS_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 R0, RZ, RZ, c[0x0][0x178] ; /* 0x00005e... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z14vec_add_kernelPfS_S_i
.globl _Z14vec_add_kernelPfS_S_i
.p2align 8
.type _Z14vec_add_kernelPfS_S_i,@function
_Z14vec_add_kernelPfS_S_i:
s_load_b32 s2, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_cmp_lt_i32 s2, 1
s_cbranch_scc1 .LBB0_2
s_clause 0x1
s... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000e5502_00000000-6_vector-add-kernel.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 "vector-add-kernel.hip"
.globl _Z29__device_stub__vec_add_kernelPfS_S_i # -- Begin function _Z29__device_stub__vec_add_kernelPfS_S_i
.p2align 4, 0x90
.type _Z29__device_stub__vec_add_kernelPfS_S_i,@function
_Z29__device_stub__vec_add_kernelPfS_S_i: # @_Z29__device_stub__vec_add_kernelPfS_S_i
.cfi_startproc
... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} | code for sm_80
Function : sampleKernel
.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_TID.X ; /* 0x0000000000007919 */
/* 0x000e220000002100... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} | .file "tmpxft_000d5526_00000000-6_JCudaSampleKernel.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. | extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} | #include <hip/hip_runtime.h>
extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected sampleKernel
.globl sampleKernel
.p2align 8
.type sampleKernel,@function
sampleKernel:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x8
s_load_b64 s[2:3], s[0:1], 0x10
v_dual_mov_b32 v2, 0 :: v_dual_lshlrev_b32 v1, 2, v0
s_waitcn... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
extern "C"
__global__ void sampleKernel(float** globalInputData, int size, float* globalOutputData)
{
const unsigned int tidX = threadIdx.x;
globalOutputData[tidX] = 0;
for (int i=0; i<size; i++)
{
globalOutputData[tidX] += globalInputData[tidX][i];
}
__syncthreads();
} | .text
.file "JCudaSampleKernel.hip"
.globl __device_stub__sampleKernel # -- Begin function __device_stub__sampleKernel
.p2align 4, 0x90
.type __device_stub__sampleKernel,@function
__device_stub__sampleKernel: # @__device_stub__sampleKernel
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 112
m... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : sampleKernel
.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_TID.X ; /* 0x0000000000007919 */
/* 0x000e220000002100... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected sampleKernel
.globl sampleKernel
.p2align 8
.type sampleKernel,@function
sampleKernel:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x8
s_load_b64 s[2:3], s[0:1], 0x10
v_dual_mov_b32 v2, 0 :: v_dual_lshlrev_b32 v1, 2, v0
s_waitcn... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000d5526_00000000-6_JCudaSampleKernel.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 "JCudaSampleKernel.hip"
.globl __device_stub__sampleKernel # -- Begin function __device_stub__sampleKernel
.p2align 4, 0x90
.type __device_stub__sampleKernel,@function
__device_stub__sampleKernel: # @__device_stub__sampleKernel
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 112
m... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <unistd.h>
#include <stdio.h>
#include "cuda.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int N, double ... | code for sm_80
Function : _Z17ConvolutionKernelPdS_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 R0, SR_CTAID.Y ; /* 0x0000000000007919 */
/* 0x... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <unistd.h>
#include <stdio.h>
#include "cuda.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int N, double ... | .file "tmpxft_00079a0e_00000000-6_2dconv_with_tiling.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2077:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
add... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <unistd.h>
#include <stdio.h>
#include "cuda.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int N, double ... | #include <unistd.h>
#include <stdio.h>
#include "hip/hip_runtime.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <unistd.h>
#include <stdio.h>
#include "hip/hip_runtime.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z17ConvolutionKernelPdS_i
.globl _Z17ConvolutionKernelPdS_i
.p2align 8
.type _Z17ConvolutionKernelPdS_i,@function
_Z17ConvolutionKernelPdS_i:
s_load_b32 s6, s[0:1], 0x10
v_bfe_u32 v3, v0, 10, 10
v_dual_mov_b32 v5, 0 :: v_dual_and_b32 v4, 0x3ff,... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <unistd.h>
#include <stdio.h>
#include "hip/hip_runtime.h"
#include <sys/time.h>
#define threshold 1e-2
#define n (4096)
#define m (3)
void init(void);
void ref(void);
#define TILE_SIZE 4
#define KS_DIV_2 (KERNEL_SIZE >> 1)
#define KERNEL_SIZE 3
__constant__ double Mc[KERNEL_SIZE*KERNEL_SIZE];
void compare(int... | .text
.file "2dconv_with_tiling.hip"
.globl _Z32__device_stub__ConvolutionKernelPdS_i # -- Begin function _Z32__device_stub__ConvolutionKernelPdS_i
.p2align 4, 0x90
.type _Z32__device_stub__ConvolutionKernelPdS_i,@function
_Z32__device_stub__ConvolutionKernelPdS_i: # @_Z32__device_stub__ConvolutionKernelPdS_i
.cfi_star... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z17ConvolutionKernelPdS_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 R0, SR_CTAID.Y ; /* 0x0000000000007919 */
/* 0x... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z17ConvolutionKernelPdS_i
.globl _Z17ConvolutionKernelPdS_i
.p2align 8
.type _Z17ConvolutionKernelPdS_i,@function
_Z17ConvolutionKernelPdS_i:
s_load_b32 s6, s[0:1], 0x10
v_bfe_u32 v3, v0, 10, 10
v_dual_mov_b32 v5, 0 :: v_dual_and_b32 v4, 0x3ff,... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00079a0e_00000000-6_2dconv_with_tiling.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2077:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
add... | .text
.file "2dconv_with_tiling.hip"
.globl _Z32__device_stub__ConvolutionKernelPdS_i # -- Begin function _Z32__device_stub__ConvolutionKernelPdS_i
.p2align 4, 0x90
.type _Z32__device_stub__ConvolutionKernelPdS_i,@function
_Z32__device_stub__ConvolutionKernelPdS_i: # @_Z32__device_stub__ConvolutionKernelPdS_i
.cfi_star... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec2[i];
__syncthreads();
if (i ... | code for sm_80
Function : _Z18kernel_dot_productPKdS0_iPd
.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 R9, SR_TID.X ; /* 0x0000000000097919 */
/*... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec2[i];
__syncthreads();
if (i ... | .file "tmpxft_00015f2f_00000000-6_kernel_dot_product.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
add... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include "includes.h"
__global__ void kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec2[i];
__syncthreads();
if (i ... | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec... |
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 kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z18kernel_dot_productPKdS0_iPd
.globl _Z18kernel_dot_productPKdS0_iPd
.p2align 8
.type _Z18kernel_dot_productPKdS0_iPd,@function
_Z18kernel_dot_productPKdS0_iPd:
s_load_b128 s[4:7], s[0:1], 0x0
v_lshlrev_b32_e32 v5, 3, v0
s_mov_b32 s2, exec_lo
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 kernel_dot_product(const double * vec1, const double * vec2, int numElements, double * answer)
{
extern __shared__ double products[]; // one element per thread
int i = threadIdx.x; // numElements assumed to fit into one block
products[i] = vec1[i] * vec... | .text
.file "kernel_dot_product.hip"
.globl _Z33__device_stub__kernel_dot_productPKdS0_iPd # -- Begin function _Z33__device_stub__kernel_dot_productPKdS0_iPd
.p2align 4, 0x90
.type _Z33__device_stub__kernel_dot_productPKdS0_iPd,@function
_Z33__device_stub__kernel_dot_productPKdS0_iPd: # @_Z33__device_stub__kernel_dot_p... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z18kernel_dot_productPKdS0_iPd
.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 R9, SR_TID.X ; /* 0x0000000000097919 */
/*... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z18kernel_dot_productPKdS0_iPd
.globl _Z18kernel_dot_productPKdS0_iPd
.p2align 8
.type _Z18kernel_dot_productPKdS0_iPd,@function
_Z18kernel_dot_productPKdS0_iPd:
s_load_b128 s[4:7], s[0:1], 0x0
v_lshlrev_b32_e32 v5, 3, v0
s_mov_b32 s2, exec_lo
s_wai... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00015f2f_00000000-6_kernel_dot_product.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
add... | .text
.file "kernel_dot_product.hip"
.globl _Z33__device_stub__kernel_dot_productPKdS0_iPd # -- Begin function _Z33__device_stub__kernel_dot_productPKdS0_iPd
.p2align 4, 0x90
.type _Z33__device_stub__kernel_dot_productPKdS0_iPd,@function
_Z33__device_stub__kernel_dot_productPKdS0_iPd: # @_Z33__device_stub__kernel_dot_p... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
/* read ti... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
/* read ti... | .file "tmpxft_001b6161_00000000-6_matmul.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2069:
.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. | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
/* read ti... | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.m... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.m... | .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. | /*
* Rectangular matrix multiplication
* A[M][K] * B[k][N] = C[M][N]
*
*/
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/timeb.h>
#include <string.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.m... | .text
.file "matmul.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z10read_timerv
.LCPI0_0:
.quad 0x408f400000000000 # double 1000
.text
.globl _Z10read_timerv
.p2align 4, 0x90
.type _Z10read_timerv,@function
_Z10read_timerv: ... |
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 from CUDA host assembly to AMD host assembly. | .file "tmpxft_001b6161_00000000-6_matmul.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2069:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.... | .text
.file "matmul.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z10read_timerv
.LCPI0_0:
.quad 0x408f400000000000 # double 1000
.text
.globl _Z10read_timerv
.p2align 4, 0x90
.type _Z10read_timerv,@function
_Z10read_timerv: ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} | code for sm_80
Function : _Z21kernel_sqrtweights_fliPf
.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 */
/* 0x000e28000000250... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} | .file "tmpxft_000fab38_00000000-6_kernel_sqrtweights_fl.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 kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} |
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 kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z21kernel_sqrtweights_fliPf
.globl _Z21kernel_sqrtweights_fliPf
.p2align 8
.type _Z21kernel_sqrtweights_fliPf,@function
_Z21kernel_sqrtweights_fliPf:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x1c
s_load_b32 s3, s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b... |
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 kernel_sqrtweights_fl(int N, float *wt){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only M threads */
if (tid<N) {
wt[tid]=sqrtf(wt[tid]);
}
} | .text
.file "kernel_sqrtweights_fl.hip"
.globl _Z36__device_stub__kernel_sqrtweights_fliPf # -- Begin function _Z36__device_stub__kernel_sqrtweights_fliPf
.p2align 4, 0x90
.type _Z36__device_stub__kernel_sqrtweights_fliPf,@function
_Z36__device_stub__kernel_sqrtweights_fliPf: # @_Z36__device_stub__kernel_sqrtweights_fl... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z21kernel_sqrtweights_fliPf
.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 */
/* 0x000e28000000250... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z21kernel_sqrtweights_fliPf
.globl _Z21kernel_sqrtweights_fliPf
.p2align 8
.type _Z21kernel_sqrtweights_fliPf,@function
_Z21kernel_sqrtweights_fliPf:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x1c
s_load_b32 s3, s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000fab38_00000000-6_kernel_sqrtweights_fl.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 "kernel_sqrtweights_fl.hip"
.globl _Z36__device_stub__kernel_sqrtweights_fliPf # -- Begin function _Z36__device_stub__kernel_sqrtweights_fliPf
.p2align 4, 0x90
.type _Z36__device_stub__kernel_sqrtweights_fliPf,@function
_Z36__device_stub__kernel_sqrtweights_fliPf: # @_Z36__device_stub__kernel_sqrtweights_fl... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <sys/time.h>
/*
This file can be downloaded from supercomputingblog.com.
This is part of a series of tutorials that demonstrate how to use CUDA
The tutorials will also demonstrate the speed of using CUDA
*/
// IMPORTANT NOTE: for this data size, your graphics card should have at least 512 me... | .file "tmpxft_0015c6dc_00000000-6_cuda_tutorial11.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2063:
.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 <stdio.h>
#include <sys/time.h>
/*
This file can be downloaded from supercomputingblog.com.
This is part of a series of tutorials that demonstrate how to use CUDA
The tutorials will also demonstrate the speed of using CUDA
*/
// IMPORTANT NOTE: for this data size, your graphics card should have at least 512 me... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <sys/time.h>
/*
This file can be downloaded from supercomputingblog.com.
This is part of a series of tutorials that demonstrate how to use CUDA
The tutorials will also demonstrate the speed of using CUDA
*/
// IMPORTANT NOTE: for this data size, your graphics car... |
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 <sys/time.h>
/*
This file can be downloaded from supercomputingblog.com.
This is part of a series of tutorials that demonstrate how to use CUDA
The tutorials will also demonstrate the speed of using CUDA
*/
// IMPORTANT NOTE: for this data size, your graphics car... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z18multiplyNumbersGPUPfS_S_
.globl _Z18multiplyNumbersGPUPfS_S_
.p2align 8
.type _Z18multiplyNumbersGPUPfS_S_,@function
_Z18multiplyNumbersGPUPfS_S_:
s_load_b128 s[4:7], s[0:1], 0x0
s_lshl_b32 s2, s15, 15
s_lshl_b32 s3, s14, 8
s_delay_alu instid0... |
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 <sys/time.h>
/*
This file can be downloaded from supercomputingblog.com.
This is part of a series of tutorials that demonstrate how to use CUDA
The tutorials will also demonstrate the speed of using CUDA
*/
// IMPORTANT NOTE: for this data size, your graphics car... | .text
.file "cuda_tutorial11.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z12get_walltimePd
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl _Z12get_walltimePd
.p2align 4, 0x90
.type _Z12get_walltimePd,@function
_Z12get_walltimePd:... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0015c6dc_00000000-6_cuda_tutorial11.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2063:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $... | .text
.file "cuda_tutorial11.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z12get_walltimePd
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl _Z12get_walltimePd
.p2align 4, 0x90
.type _Z12get_walltimePd,@function
_Z12get_walltimePd:... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cuda.h>
#include <cuda_runtime.h>
#include <iostream>
#include <device_launch_parameters.h>
constexpr auto PI = 3.14f;
//umplerea a doua matrici cu date
__global__ void fill_array2D(float *a, float *b, int N, int M)
{
int row = blockIdx.x * blockDim.x + threadIdx.x;
int col = blockIdx.y * blockDim.y + threa... | .file "tmpxft_001b9c69_00000000-6_CUDA_Suma_Populare.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
ca... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cuda.h>
#include <cuda_runtime.h>
#include <iostream>
#include <device_launch_parameters.h>
constexpr auto PI = 3.14f;
//umplerea a doua matrici cu date
__global__ void fill_array2D(float *a, float *b, int N, int M)
{
int row = blockIdx.x * blockDim.x + threadIdx.x;
int col = blockIdx.y * blockDim.y + threa... | #include <hip/hip_runtime.h>
#include <iostream>
constexpr auto PI = 3.14f;
//umplerea a doua matrici cu date
__global__ void fill_array2D(float *a, float *b, int N, int M)
{
int row = blockIdx.x * blockDim.x + threadIdx.x;
int col = blockIdx.y * blockDim.y + threadIdx.y;
if (row < N && col < M)
{
a[row*N + col] = po... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <iostream>
constexpr auto PI = 3.14f;
//umplerea a doua matrici cu date
__global__ void fill_array2D(float *a, float *b, int N, int M)
{
int row = blockIdx.x * blockDim.x + threadIdx.x;
int col = blockIdx.y * blockDim.y + threadIdx.y;
if (row < N && col < M)
{
a[row*N + col] = po... | .text
.file "CUDA_Suma_Populare.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z27__device_stub__fill_array2DPfS_ii # -- Begin function _Z27__device_stub__fill_array2... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_001b9c69_00000000-6_CUDA_Suma_Populare.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
ca... | .text
.file "CUDA_Suma_Populare.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z27__device_stub__fill_array2DPfS_ii # -- Begin function _Z27__device_stub__fill_array2... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1) % height;
// Count alive ce... | code for sm_80
Function : lifeStep
.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*/ IABS R7, c[0x0][0x168] ; /* 0x00005a0000077a13 */
/* 0x000fe200000000... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1) % height;
// Count alive ce... | .file "tmpxft_000bd2df_00000000-6_LifeStep.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... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1) % height;
// Count alive ce... | #include <hip/hip_runtime.h>
extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected lifeStep
.globl lifeStep
.p2align 8
.type lifeStep,@function
lifeStep:
s_clause 0x1
s_load_b64 s[6:7], s[0:1], 0x8
s_load_b32 s2, s[0:1], 0x1c
v_bfe_u32 v4, v0, 10, 10
s_load_b64 s[0:1], s[0:1], 0x0
s_waitcnt lgk... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
extern "C"
__global__ void lifeStep(char** lifeData, int width, int height) {
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
int right = (x + 1) % width;
int left = (x + width - 1) % width;
int top = (y + height - 1) % height;
int down = (y + 1... | .text
.file "LifeStep.hip"
.globl __device_stub__lifeStep # -- Begin function __device_stub__lifeStep
.p2align 4, 0x90
.type __device_stub__lifeStep,@function
__device_stub__lifeStep: # @__device_stub__lifeStep
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
movl... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : lifeStep
.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*/ IABS R7, c[0x0][0x168] ; /* 0x00005a0000077a13 */
/* 0x000fe200000000... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected lifeStep
.globl lifeStep
.p2align 8
.type lifeStep,@function
lifeStep:
s_clause 0x1
s_load_b64 s[6:7], s[0:1], 0x8
s_load_b32 s2, s[0:1], 0x1c
v_bfe_u32 v4, v0, 10, 10
s_load_b64 s[0:1], s[0:1], 0x0
s_waitcnt lgk... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000bd2df_00000000-6_LifeStep.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... | .text
.file "LifeStep.hip"
.globl __device_stub__lifeStep # -- Begin function __device_stub__lifeStep
.p2align 4, 0x90
.type __device_stub__lifeStep,@function
__device_stub__lifeStep: # @__device_stub__lifeStep
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
movl... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /// ================================================================
///
/// Disclaimer: IMPORTANT: This software was developed at theNT
/// National Institute of Standards and Technology by employees of the
/// Federal Government in the course of their official duties.
/// Pursuant to title 17 Section 105 of the Unit... | /// ================================================================
///
/// Disclaimer: IMPORTANT: This software was developed at theNT
/// National Institute of Standards and Technology by employees of the
/// Federal Government in the course of their official duties.
/// Pursuant to title 17 Section 105 of the Unit... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /// ================================================================
///
/// Disclaimer: IMPORTANT: This software was developed at theNT
/// National Institute of Standards and Technology by employees of the
/// Federal Government in the course of their official duties.
/// Pursuant to title 17 Section 105 of the Unit... | .text
.file "util-cuda-bin.hip"
.globl __device_stub__elt_prod_conj # -- Begin function __device_stub__elt_prod_conj
.p2align 4, 0x90
.type __device_stub__elt_prod_conj,@function
__device_stub__elt_prod_conj: # @__device_stub__elt_prod_conj
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
mo... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j];
}
}
c[row]=sum;
}
int main(... | code for sm_80
Function : _Z26matrixVectorMultiplicationPfS_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*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */
/* 0x000e22... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j];
}
}
c[row]=sum;
}
int main(... | .file "tmpxft_00188c7b_00000000-6_matvec_cuda1.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3674:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __c... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j];
}
}
c[row]=sum;
}
int main(... | #include <hip/hip_runtime.h>
#include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j]... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j]... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z26matrixVectorMultiplicationPfS_S_i
.globl _Z26matrixVectorMultiplicationPfS_S_i
.p2align 8
.type _Z26matrixVectorMultiplicationPfS_S_i,@function
_Z26matrixVectorMultiplicationPfS_S_i:
s_clause 0x1
s_load_b32 s3, s[0:1], 0x2c
s_load_b32 s2, s[0:1], 0x18
... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include<iostream>
#include<cstdlib>
#include<cmath>
#include<time.h>
using namespace std;
__global__ void matrixVectorMultiplication(float *a, float *mat, float *c, int n)
{
int row=threadIdx.x+blockDim.x*blockIdx.x;
float sum=0;
if(row<n){
for(int j=0;j<n;j++)
{
sum=sum+mat[row*n+j]*a[j]... | .text
.file "matvec_cuda1.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z41__device_stub__matrixVectorMultiplicationPfS_S_i # -- Begin function _Z41__device_stub__ma... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z26matrixVectorMultiplicationPfS_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*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */
/* 0x000e22... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z26matrixVectorMultiplicationPfS_S_i
.globl _Z26matrixVectorMultiplicationPfS_S_i
.p2align 8
.type _Z26matrixVectorMultiplicationPfS_S_i,@function
_Z26matrixVectorMultiplicationPfS_S_i:
s_clause 0x1
s_load_b32 s3, s[0:1], 0x2c
s_load_b32 s2, s[0:1], 0x18
... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00188c7b_00000000-6_matvec_cuda1.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3674:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __c... | .text
.file "matvec_cuda1.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z41__device_stub__matrixVectorMultiplicationPfS_S_i # -- Begin function _Z41__device_stub__ma... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width+j];
atomicAdd(&res[val],1);
... | code for sm_80
Function : _Z22gpu_histo_kernel_naivePhPijj
.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.X ; /* 0x0000000000007919 */... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width+j];
atomicAdd(&res[val],1);
... | .file "tmpxft_0010991d_00000000-6_gpu_histo_kernel_naive.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 gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width+j];
atomicAdd(&res[val],1);
... | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width... |
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 gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z22gpu_histo_kernel_naivePhPijj
.globl _Z22gpu_histo_kernel_naivePhPijj
.p2align 8
.type _Z22gpu_histo_kernel_naivePhPijj,@function
_Z22gpu_histo_kernel_naivePhPijj:
s_load_b32 s4, s[0:1], 0x24
v_bfe_u32 v3, v0, 10, 10
s_add_u32 s2, s0, 24
s_addc_u32... |
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 gpu_histo_kernel_naive(u_char* Source, int *res, unsigned height, unsigned width){
int j = blockIdx.x*blockDim.x + threadIdx.x;
int i = blockIdx.y*blockDim.y + threadIdx.y;
if ((i<0)||(i>=height)||(j<0)||(j>=width)) {}
else {
u_char val = Source[i*width... | .text
.file "gpu_histo_kernel_naive.hip"
.globl _Z37__device_stub__gpu_histo_kernel_naivePhPijj # -- Begin function _Z37__device_stub__gpu_histo_kernel_naivePhPijj
.p2align 4, 0x90
.type _Z37__device_stub__gpu_histo_kernel_naivePhPijj,@function
_Z37__device_stub__gpu_histo_kernel_naivePhPijj: # @_Z37__device_stub__gpu_... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z22gpu_histo_kernel_naivePhPijj
.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.X ; /* 0x0000000000007919 */... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z22gpu_histo_kernel_naivePhPijj
.globl _Z22gpu_histo_kernel_naivePhPijj
.p2align 8
.type _Z22gpu_histo_kernel_naivePhPijj,@function
_Z22gpu_histo_kernel_naivePhPijj:
s_load_b32 s4, s[0:1], 0x24
v_bfe_u32 v3, v0, 10, 10
s_add_u32 s2, s0, 24
s_addc_u32... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0010991d_00000000-6_gpu_histo_kernel_naive.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 "gpu_histo_kernel_naive.hip"
.globl _Z37__device_stub__gpu_histo_kernel_naivePhPijj # -- Begin function _Z37__device_stub__gpu_histo_kernel_naivePhPijj
.p2align 4, 0x90
.type _Z37__device_stub__gpu_histo_kernel_naivePhPijj,@function
_Z37__device_stub__gpu_histo_kernel_naivePhPijj: # @_Z37__device_stub__gpu_... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <cuda.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldAF[], double... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <cuda.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldAF[], double... | .file "tmpxft_0019e6bc_00000000-6_findCutoff.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 __cud... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <cuda.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldAF[], double... | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <hip/hip_runtime.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldA... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <hip/hip_runtime.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldA... | .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. | //
// findCutoff.cu
//
//This file contains the function that determines the most
//efficient number of assemblies to perform on the gpu
#include <hip/hip_runtime.h>
#include <iostream>
void cudaAssemble(double Zs[],double Xs[], int num, double nZs[], double nXs[], int odd, int newlen);
void cudaDisassemble(double OldA... | .text
.file "findCutoff.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z10findCutoffii # -- Begin function _Z10findCutoffii
.p2align 4, 0x90
.type _Z10... |
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 from CUDA host assembly to AMD host assembly. | .file "tmpxft_0019e6bc_00000000-6_findCutoff.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 __cud... | .text
.file "findCutoff.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z10findCutoffii # -- Begin function _Z10findCutoffii
.p2align 4, 0x90
.type _Z10... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds
if(tid<n)
c[tid] = a[tid] + ... | code for sm_80
Function : _Z10vector_addPiS_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*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e280000002500 */
/*... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds
if(tid<n)
c[tid] = a[tid] + ... | .file "tmpxft_00002588_00000000-6_vector_add.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cud... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds
if(tid<n)
c[tid] = a[tid] + ... | #include <hip/hip_runtime.h>
#include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10vector_addPiS_S_i
.globl _Z10vector_addPiS_S_i
.p2align 8
.type _Z10vector_addPiS_S_i,@function
_Z10vector_addPiS_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
... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <cassert>
#include <time.h>
//Initializing CUDA kernel
//Called from CPU, runs in GPU
__global__ void vector_add(int *a, int *b, int *c, int n)
{
//calculating globad tid
int tid = blockIdx.x * blockDim.x + threadIdx.x;
//checking if the tid is not out of bounds... | .text
.file "vector_add.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z25__device_stub__vector_addPiS_S_i # -- Begin function _Z25__device_stub__vector_addPiS_S_i
.p... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z10vector_addPiS_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*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e280000002500 */
/*... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10vector_addPiS_S_i
.globl _Z10vector_addPiS_S_i
.p2align 8
.type _Z10vector_addPiS_S_i,@function
_Z10vector_addPiS_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
... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00002588_00000000-6_vector_add.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cud... | .text
.file "vector_add.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z25__device_stub__vector_addPiS_S_i # -- Begin function _Z25__device_stub__vector_addPiS_S_i
.p... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <pthread.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#ifndef D
#define D 10000
#endif
#ifndef N_FILES
#define N_FILES 21000
#endif
#define ARG_COUNT 4
#define MAX_FILE_NAME 100
#define GMEM_GRANULARITY 128
#define INV_DICT_WIDTH ((unsigned int)(ceil(N_FILES / (float)(sizeof(int)*8))))
#define I... | .file "tmpxft_000672ac_00000000-6_cu-backup.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2076:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rs... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <pthread.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#ifndef D
#define D 10000
#endif
#ifndef N_FILES
#define N_FILES 21000
#endif
#define ARG_COUNT 4
#define MAX_FILE_NAME 100
#define GMEM_GRANULARITY 128
#define INV_DICT_WIDTH ((unsigned int)(ceil(N_FILES / (float)(sizeof(int)*8))))
#define I... | #include <hip/hip_runtime.h>
#include <pthread.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#ifndef D
#define D 10000
#endif
#ifndef N_FILES
#define N_FILES 21000
#endif
#define ARG_COUNT 4
#define MAX_FILE_NAME 100
#define GMEM_GRANULARITY 128
#define INV_DICT_WIDTH ((unsigned int)(ceil(N_FILES / (float... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <pthread.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#ifndef D
#define D 10000
#endif
#ifndef N_FILES
#define N_FILES 21000
#endif
#define ARG_COUNT 4
#define MAX_FILE_NAME 100
#define GMEM_GRANULARITY 128
#define INV_DICT_WIDTH ((unsigned int)(ceil(N_FILES / (float... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z11queryKernelPjjjS_jS_jj
.globl _Z11queryKernelPjjjS_jS_jj
.p2align 8
.type _Z11queryKernelPjjjS_jS_jj,@function
_Z11queryKernelPjjjS_jS_jj:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x3c
s_load_b32 s3, s[0:1], 0x8
s_waitcnt lgkmcnt(0)
s_and_b32 s2,... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <pthread.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#ifndef D
#define D 10000
#endif
#ifndef N_FILES
#define N_FILES 21000
#endif
#define ARG_COUNT 4
#define MAX_FILE_NAME 100
#define GMEM_GRANULARITY 128
#define INV_DICT_WIDTH ((unsigned int)(ceil(N_FILES / (float... | .text
.file "cu-backup.hip"
.globl _Z26__device_stub__queryKernelPjjjS_jS_jj # -- Begin function _Z26__device_stub__queryKernelPjjjS_jS_jj
.p2align 4, 0x90
.type _Z26__device_stub__queryKernelPjjjS_jS_jj,@function
_Z26__device_stub__queryKernelPjjjS_jS_jj: # @_Z26__device_stub__queryKernelPjjjS_jS_jj
.cfi_startproc
# %... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000672ac_00000000-6_cu-backup.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2076:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rs... | .text
.file "cu-backup.hip"
.globl _Z26__device_stub__queryKernelPjjjS_jS_jj # -- Begin function _Z26__device_stub__queryKernelPjjjS_jS_jj
.p2align 4, 0x90
.type _Z26__device_stub__queryKernelPjjjS_jS_jj,@function
_Z26__device_stub__queryKernelPjjjS_jS_jj: # @_Z26__device_stub__queryKernelPjjjS_jS_jj
.cfi_startproc
# %... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | //#pragma comment (lib, "cublas.lib")
//#include "stdio.h"
//#include <cuda.h>
//using namespace std;
//#include <ctime>
//#include "cuda_runtime.h"
//#include "curand_kernel.h"
//#include "device_launch_parameters.h"
//#include <stdio.h>
//#include <stdlib.h>
//
//#include <string>
//#include <iomanip>
//#include <tim... | code for sm_80 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.