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 device assembly. | #include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double outputLayer[1][numNeurons] =... | code for sm_80
Function : _Z13MatMultKernelPdS_S_iii
.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*/ S2UR UR4, SR_CTAID.Y ; /* 0x00000000000479c3 */
/* ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double outputLayer[1][numNeurons] =... | .file "tmpxft_00155370_00000000-6_MatMultKernel.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. | #include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double outputLayer[1][numNeurons] =... | #include <hip/hip_runtime.h>
#include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z13MatMultKernelPdS_S_iii
.globl _Z13MatMultKernelPdS_S_iii
.p2align 8
.type _Z13MatMultKernelPdS_S_iii,@function
_Z13MatMultKernelPdS_S_iii:
s_clause 0x1
s_load_b64 s[8:9], s[0:1], 0x18
s_load_b32 s3, s[0:1], 0x20
v_bfe_u32 v6, v0, 10, 10
v_an... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
#define BLOCK_SIZE 1
//Global variable set up
const int radius = 3;
const int numSamples = 100;
const double learningRate = 0.15;
const int epochs = 1;
const int numNeurons =20;
//Set up neurons
double inputLayer[2][numNeurons] = { 0 }; //takes input and weights
double... | .text
.file "MatMultKernel.hip"
.globl _Z28__device_stub__MatMultKernelPdS_S_iii # -- Begin function _Z28__device_stub__MatMultKernelPdS_S_iii
.p2align 4, 0x90
.type _Z28__device_stub__MatMultKernelPdS_S_iii,@function
_Z28__device_stub__MatMultKernelPdS_S_iii: # @_Z28__device_stub__MatMultKernelPdS_S_iii
.cfi_startproc... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z13MatMultKernelPdS_S_iii
.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*/ S2UR UR4, SR_CTAID.Y ; /* 0x00000000000479c3 */
/* ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z13MatMultKernelPdS_S_iii
.globl _Z13MatMultKernelPdS_S_iii
.p2align 8
.type _Z13MatMultKernelPdS_S_iii,@function
_Z13MatMultKernelPdS_S_iii:
s_clause 0x1
s_load_b64 s[8:9], s[0:1], 0x18
s_load_b32 s3, s[0:1], 0x20
v_bfe_u32 v6, v0, 10, 10
v_an... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00155370_00000000-6_MatMultKernel.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 "MatMultKernel.hip"
.globl _Z28__device_stub__MatMultKernelPdS_S_iii # -- Begin function _Z28__device_stub__MatMultKernelPdS_S_iii
.p2align 4, 0x90
.type _Z28__device_stub__MatMultKernelPdS_S_iii,@function
_Z28__device_stub__MatMultKernelPdS_S_iii: # @_Z28__device_stub__MatMultKernelPdS_S_iii
.cfi_startproc... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
* JCuda - Java bindings for NVIDIA CUDA driver and runtime API
* http://www.jcuda.org
*
*
* This code is based on the NVIDIA 'reduction' CUDA sample,
* Copyright 1993-2010 NVIDIA Corporation.
*/
#include <math.h>
extern "C"
__global__ void normalize(double *g_idata, double *g_odata, unsigned int n, int maxIndx)
{
... | .file "tmpxft_0011042b_00000000-6_normalize.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, %rs... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /*
* JCuda - Java bindings for NVIDIA CUDA driver and runtime API
* http://www.jcuda.org
*
*
* This code is based on the NVIDIA 'reduction' CUDA sample,
* Copyright 1993-2010 NVIDIA Corporation.
*/
#include <math.h>
extern "C"
__global__ void normalize(double *g_idata, double *g_odata, unsigned int n, int maxIndx)
{
... | /*
* JCuda - Java bindings for NVIDIA CUDA driver and runtime API
* http://www.jcuda.org
*
*
* This code is based on the NVIDIA 'reduction' CUDA sample,
* Copyright 1993-2010 NVIDIA Corporation.
*/
#include <hip/hip_runtime.h>
#include <math.h>
extern "C"
__global__ void normalize(double *g_idata, double *g_odata, un... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
* JCuda - Java bindings for NVIDIA CUDA driver and runtime API
* http://www.jcuda.org
*
*
* This code is based on the NVIDIA 'reduction' CUDA sample,
* Copyright 1993-2010 NVIDIA Corporation.
*/
#include <hip/hip_runtime.h>
#include <math.h>
extern "C"
__global__ void normalize(double *g_idata, double *g_odata, un... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected normalize
.globl normalize
.p2align 8
.type normalize,@function
normalize:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x24
s_load_b32 s3, s[0:1], 0x10
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_alu instid0(SALU... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /*
* JCuda - Java bindings for NVIDIA CUDA driver and runtime API
* http://www.jcuda.org
*
*
* This code is based on the NVIDIA 'reduction' CUDA sample,
* Copyright 1993-2010 NVIDIA Corporation.
*/
#include <hip/hip_runtime.h>
#include <math.h>
extern "C"
__global__ void normalize(double *g_idata, double *g_odata, un... | .text
.file "normalize.hip"
.globl __device_stub__normalize # -- Begin function __device_stub__normalize
.p2align 4, 0x90
.type __device_stub__normalize,@function
__device_stub__normalize: # @__device_stub__normalize
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
movq %rdi, 72(%rsp... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0011042b_00000000-6_normalize.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, %rs... | .text
.file "normalize.hip"
.globl __device_stub__normalize # -- Begin function __device_stub__normalize
.p2align 4, 0x90
.type __device_stub__normalize,@function
__device_stub__normalize: # @__device_stub__normalize
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
movq %rdi, 72(%rsp... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {
y[i] = x1[i] * x2[i];
}
} | code for sm_80
Function : _Z16cudaSmult_kerneljPKfS0_Pf
.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 */
/* 0x000e2800000025... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {
y[i] = x1[i] * x2[i];
}
} | .file "tmpxft_0014bbde_00000000-6_cudaSmult_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. | #include "includes.h"
__global__ void cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {
y[i] = x1[i] * x2[i];
}
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {... |
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 cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z16cudaSmult_kerneljPKfS0_Pf
.globl _Z16cudaSmult_kerneljPKfS0_Pf
.p2align 8
.type _Z16cudaSmult_kerneljPKfS0_Pf,@function
_Z16cudaSmult_kerneljPKfS0_Pf:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x2c
s_load_b32 s8, s[0:1], 0x0
s_add_u32 s2, s0, 32
s_ad... |
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 cudaSmult_kernel(unsigned int size, const float *x1, const float *x2, float *y)
{
const unsigned int index = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int stride = blockDim.x * gridDim.x;
for (unsigned int i = index; i < size; i += stride) {... | .text
.file "cudaSmult_kernel.hip"
.globl _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf # -- Begin function _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf
.p2align 4, 0x90
.type _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf,@function
_Z31__device_stub__cudaSmult_kerneljPKfS0_Pf: # @_Z31__device_stub__cudaSmult_kerneljPKfS0... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z16cudaSmult_kerneljPKfS0_Pf
.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 */
/* 0x000e2800000025... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z16cudaSmult_kerneljPKfS0_Pf
.globl _Z16cudaSmult_kerneljPKfS0_Pf
.p2align 8
.type _Z16cudaSmult_kerneljPKfS0_Pf,@function
_Z16cudaSmult_kerneljPKfS0_Pf:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x2c
s_load_b32 s8, s[0:1], 0x0
s_add_u32 s2, s0, 32
s_ad... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0014bbde_00000000-6_cudaSmult_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 "cudaSmult_kernel.hip"
.globl _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf # -- Begin function _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf
.p2align 4, 0x90
.type _Z31__device_stub__cudaSmult_kerneljPKfS0_Pf,@function
_Z31__device_stub__cudaSmult_kerneljPKfS0_Pf: # @_Z31__device_stub__cudaSmult_kerneljPKfS0... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
int main(void)
{
int dev = 0;
cudaSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
cudaDeviceProp deviceProp;
cudaGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
cudaDriverGetVersion( &driverVersion );
cudaRuntimeGetVersion( &runtimeVersion );
p... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
int main(void)
{
int dev = 0;
cudaSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
cudaDeviceProp deviceProp;
cudaGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
cudaDriverGetVersion( &driverVersion );
cudaRuntimeGetVersion( &runtimeVersion );
p... | .file "tmpxft_000f57a3_00000000-6_deviceData.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, %r... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
int main(void)
{
int dev = 0;
cudaSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
cudaDeviceProp deviceProp;
cudaGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
cudaDriverGetVersion( &driverVersion );
cudaRuntimeGetVersion( &runtimeVersion );
p... | #include <hip/hip_runtime.h>
#include <stdio.h>
int main(void)
{
int dev = 0;
hipSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
hipDeviceProp_t deviceProp;
hipGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
hipDriverGetVersion( &driverVersion );
hipRuntimeGetVer... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
int main(void)
{
int dev = 0;
hipSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
hipDeviceProp_t deviceProp;
hipGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
hipDriverGetVersion( &driverVersion );
hipRuntimeGetVer... | .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>
#include <stdio.h>
int main(void)
{
int dev = 0;
hipSetDevice(dev);
int driverVersion = 0, runtimeVersion = 0;
hipDeviceProp_t deviceProp;
hipGetDeviceProperties( &deviceProp, dev );
printf("Device %d; \"%s\"\n", dev, deviceProp.name);
hipDriverGetVersion( &driverVersion );
hipRuntimeGetVer... | .text
.file "deviceData.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0x3e10000000000000 # double 9.3132257461547852E-10
.section .rodata.cst4,"aM",@progbits,4
.p2align 2, 0x0
.LCPI0_1:
.long 0x3a83126f # f... |
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_000f57a3_00000000-6_deviceData.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, %r... | .text
.file "deviceData.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0x3e10000000000000 # double 9.3132257461547852E-10
.section .rodata.cst4,"aM",@progbits,4
.p2align 2, 0x0
.LCPI0_1:
.long 0x3a83126f # f... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... | code for sm_80
Function : _Z13collatzKernellPi
.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][0x168] ; /* 0x00005a00ff0... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... | .file "tmpxft_0008dca4_00000000-6_collatz.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL13collatzKernellPi, @function
_ZL13collatzKernellPi:
.LFB2084:
.cfi_startproc
endbr64
subq $120, %rsp
.cfi_def_cfa_offset 128
movq %fs:40, %rax
movq %rax, 104(%rsp)
xorl %eax, %eax
movq %rdi, (%rsp)
movq %rsi, 8(%rsp)
movq %rsp, %rax
mov... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZL13collatzKernellPi,"axG",@progbits,_ZL13collatzKernellPi,comdat
.globl _ZL13collatzKernellPi
.p2align 8
.type _ZL13collatzKernellPi,@function
_ZL13collatzKernellPi:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x1c
s_load_b64 s[2:3]... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /*
Collatz code for CS 4380 / CS 5351
Copyright (c) 2018, Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... | .text
.file "collatz.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl main
.p2align 4, 0x90
.type main,@function
main: # @main
.cfi_startproc
# %bb.... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z13collatzKernellPi
.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][0x168] ; /* 0x00005a00ff0... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZL13collatzKernellPi,"axG",@progbits,_ZL13collatzKernellPi,comdat
.globl _ZL13collatzKernellPi
.p2align 8
.type _ZL13collatzKernellPi,@function
_ZL13collatzKernellPi:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x1c
s_load_b64 s[2:3]... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0008dca4_00000000-6_collatz.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL13collatzKernellPi, @function
_ZL13collatzKernellPi:
.LFB2084:
.cfi_startproc
endbr64
subq $120, %rsp
.cfi_def_cfa_offset 128
movq %fs:40, %rax
movq %rax, 104(%rsp)
xorl %eax, %eax
movq %rdi, (%rsp)
movq %rsi, 8(%rsp)
movq %rsp, %rax
mov... | .text
.file "collatz.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl main
.p2align 4, 0x90
.type main,@function
main: # @main
.cfi_startproc
# %bb.... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void kernel_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} | code for sm_80
Function : _Z17kernel_setweightsiPdd
.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 */
/* 0x000e280000002500 *... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void kernel_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} | .file "tmpxft_0004f8b6_00000000-6_kernel_setweights.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 kernel_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void kernel_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} |
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_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z17kernel_setweightsiPdd
.globl _Z17kernel_setweightsiPdd
.p2align 8
.type _Z17kernel_setweightsiPdd,@function
_Z17kernel_setweightsiPdd:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x24
s_load_b32 s3, s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2... |
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_setweights(int N, double *wt, double alpha){
unsigned int tid = blockIdx.x*blockDim.x + threadIdx.x;
/* make sure to use only N threads */
if (tid<N) {
wt[tid]=alpha;
}
} | .text
.file "kernel_setweights.hip"
.globl _Z32__device_stub__kernel_setweightsiPdd # -- Begin function _Z32__device_stub__kernel_setweightsiPdd
.p2align 4, 0x90
.type _Z32__device_stub__kernel_setweightsiPdd,@function
_Z32__device_stub__kernel_setweightsiPdd: # @_Z32__device_stub__kernel_setweightsiPdd
.cfi_startproc
... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z17kernel_setweightsiPdd
.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 */
/* 0x000e280000002500 *... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z17kernel_setweightsiPdd
.globl _Z17kernel_setweightsiPdd
.p2align 8
.type _Z17kernel_setweightsiPdd,@function
_Z17kernel_setweightsiPdd:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x24
s_load_b32 s3, s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0004f8b6_00000000-6_kernel_setweights.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 "kernel_setweights.hip"
.globl _Z32__device_stub__kernel_setweightsiPdd # -- Begin function _Z32__device_stub__kernel_setweightsiPdd
.p2align 4, 0x90
.type _Z32__device_stub__kernel_setweightsiPdd,@function
_Z32__device_stub__kernel_setweightsiPdd: # @_Z32__device_stub__kernel_setweightsiPdd
.cfi_startproc
... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include<stdio.h>
#include<stdlib.h>
#include<cuda.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < N)
{
a[id] ... | code for sm_80
Function : _Z17standardDeviationPdd
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R2, SR_TID.X ; /* 0x0000000000027919 */
/* 0x000e240000002100 */
/... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include<stdio.h>
#include<stdlib.h>
#include<cuda.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < N)
{
a[id] ... | .file "tmpxft_000b742c_00000000-6_sd.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cfi_... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include<stdio.h>
#include<stdlib.h>
#include<cuda.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < N)
{
a[id] ... | #include<stdio.h>
#include<stdlib.h>
#include<hip/hip_runtime.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < ... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include<stdio.h>
#include<stdlib.h>
#include<hip/hip_runtime.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3sumPdS_
.globl _Z3sumPdS_
.p2align 8
.type _Z3sumPdS_,@function
_Z3sumPdS_:
s_load_b64 s[2:3], s[0:1], 0x0
v_lshlrev_b32_e32 v1, 3, v0
s_waitcnt lgkmcnt(0)
s_delay_alu instid0(VALU_DEP_1) | instskip(NEXT) | instid... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include<stdio.h>
#include<stdlib.h>
#include<hip/hip_runtime.h>
#include<math.h>
#define N 10
__global__ void sum(double *a,double *o)
{
int i;
int id=threadIdx.x;
for(i=0; i< N ;i++)
{
if(id<i)
{
a[id]+=a[id+i];
}
}
o[0]=a[0];
}
__global__ void standardDeviation(double *a,double avg)
{
int id=threadIdx.x;
if(id < ... | .text
.file "sd.hip"
.globl _Z18__device_stub__sumPdS_ # -- Begin function _Z18__device_stub__sumPdS_
.p2align 4, 0x90
.type _Z18__device_stub__sumPdS_,@function
_Z18__device_stub__sumPdS_: # @_Z18__device_stub__sumPdS_
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
m... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z17standardDeviationPdd
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R2, SR_TID.X ; /* 0x0000000000027919 */
/* 0x000e240000002100 */
/... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3sumPdS_
.globl _Z3sumPdS_
.p2align 8
.type _Z3sumPdS_,@function
_Z3sumPdS_:
s_load_b64 s[2:3], s[0:1], 0x0
v_lshlrev_b32_e32 v1, 3, v0
s_waitcnt lgkmcnt(0)
s_delay_alu instid0(VALU_DEP_1) | instskip(NEXT) | instid... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000b742c_00000000-6_sd.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cfi_... | .text
.file "sd.hip"
.globl _Z18__device_stub__sumPdS_ # -- Begin function _Z18__device_stub__sumPdS_
.p2align 4, 0x90
.type _Z18__device_stub__sumPdS_,@function
_Z18__device_stub__sumPdS_: # @_Z18__device_stub__sumPdS_
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
m... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the calculations in cpu or gpu
... | code for sm_80
Function : _Z16gpu_create_imagePfiiS_
.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 ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the calculations in cpu or gpu
... | .file "tmpxft_0007cc25_00000000-6_mbrot.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB5983:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.c... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the calculations in cpu or gpu
... | #include <hip/hip_runtime.h>
#include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z16gpu_create_imagePfiiS_
.globl _Z16gpu_create_imagePfiiS_
.p2align 8
.type _Z16gpu_create_imagePfiiS_,@function
_Z16gpu_create_imagePfiiS_:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x24
s_load_b64 s[8:9], s[0:1], 0x8
s_waitcnt lgkmcnt(0)
s_and_b32... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <thrust/complex.h>
#include <stdio.h>
#include <stdlib.h>
#include <png.h>
#include <sys/time.h>
#define M 200
#define DIE(...) { \
fprintf(stderr, __VA_ARGS__); \
exit(EXIT_FAILURE); \
}
float points[4]; // c0_real, c0_image, c1_real, c1_image
int w, h;
char cpu_gpu[5]; // do the... | .text
.file "mbrot.hip"
.globl _Z17application_errorPc # -- Begin function _Z17application_errorPc
.p2align 4, 0x90
.type _Z17application_errorPc,@function
_Z17application_errorPc: # @_Z17application_errorPc
.cfi_startproc
# %bb.0:
pushq %rax
.cfi_def_cfa_offset 16
callq puts@PLT
xorl %edi, %edi
... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * blockIdx.x;
size_t idx = GIDX(r... | code for sm_80
Function : _Z10kernel_subPfS_S_ii
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R2, SR_CTAID.X ; /* 0x0000000000027919 */
/* 0x000e... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * blockIdx.x;
size_t idx = GIDX(r... | .file "tmpxft_0001549d_00000000-6_kernel_sub.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %r... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * blockIdx.x;
size_t idx = GIDX(r... | #include <hip/hip_runtime.h>
#include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * bl... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * bl... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10kernel_subPfS_S_ii
.globl _Z10kernel_subPfS_S_ii
.p2align 8
.type _Z10kernel_subPfS_S_ii,@function
_Z10kernel_subPfS_S_ii:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x2c
s_load_b64 s[2:3], s[0:1], 0x18
v_bfe_u32 v2, v0, 10, 10
v_and_b32_e32 v... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
__device__ size_t GIDX(size_t row, size_t col, int H, int W) {
return row * W + col;
}
__global__ void kernel_sub(float* d_f1ptr, float* d_f2ptr, float* d_dt, int H, int W) {
size_t row = threadIdx.y + blockDim.y * blockIdx.y;
size_t col = threadIdx.x + blockDim.x * bl... | .text
.file "kernel_sub.hip"
.globl _Z25__device_stub__kernel_subPfS_S_ii # -- Begin function _Z25__device_stub__kernel_subPfS_S_ii
.p2align 4, 0x90
.type _Z25__device_stub__kernel_subPfS_S_ii,@function
_Z25__device_stub__kernel_subPfS_S_ii: # @_Z25__device_stub__kernel_subPfS_S_ii
.cfi_startproc
# %bb.0:
subq $120, %... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z10kernel_subPfS_S_ii
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R2, SR_CTAID.X ; /* 0x0000000000027919 */
/* 0x000e... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10kernel_subPfS_S_ii
.globl _Z10kernel_subPfS_S_ii
.p2align 8
.type _Z10kernel_subPfS_S_ii,@function
_Z10kernel_subPfS_S_ii:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x2c
s_load_b64 s[2:3], s[0:1], 0x18
v_bfe_u32 v2, v0, 10, 10
v_and_b32_e32 v... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0001549d_00000000-6_kernel_sub.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %r... | .text
.file "kernel_sub.hip"
.globl _Z25__device_stub__kernel_subPfS_S_ii # -- Begin function _Z25__device_stub__kernel_subPfS_S_ii
.p2align 4, 0x90
.type _Z25__device_stub__kernel_subPfS_S_ii,@function
_Z25__device_stub__kernel_subPfS_S_ii: # @_Z25__device_stub__kernel_subPfS_S_ii
.cfi_startproc
# %bb.0:
subq $120, %... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <cuda_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId];
... | code for sm_80
Function : _Z9kerSquarePiS_
.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 */
/*0020*... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cuda_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId];
... | .file "tmpxft_000adcc3_00000000-6_simpleFarm.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3685:
.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 <cuda_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId];
... | #include <hip/hip_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9kerSquarePiS_
.globl _Z9kerSquarePiS_
.p2align 8
.type _Z9kerSquarePiS_,@function
_Z9kerSquarePiS_:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x1c
s_load_b128 s[0:3], s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b32 s4, s4, 0xffff
s_dela... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <unistd.h>
//workers computing square of rands
__global__ void kerSquare(int *randsDev,int* resDev){
int myId = blockIdx.x * blockDim.x + threadIdx.x;
//std::cout << myId << ", ";
resDev[myId] = randsDev[myId] * randsDev[myId... | .text
.file "simpleFarm.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z24__device_stub__kerSquarePiS_ # -- Begin function _Z24__device_stub__kerSquarePiS_
.p2align 4... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z9kerSquarePiS_
.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 */
/*0020*... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9kerSquarePiS_
.globl _Z9kerSquarePiS_
.p2align 8
.type _Z9kerSquarePiS_,@function
_Z9kerSquarePiS_:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x1c
s_load_b128 s[0:3], s[0:1], 0x0
s_waitcnt lgkmcnt(0)
s_and_b32 s4, s4, 0xffff
s_dela... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000adcc3_00000000-6_simpleFarm.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3685:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cud... | .text
.file "simpleFarm.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z24__device_stub__kerSquarePiS_ # -- Begin function _Z24__device_stub__kerSquarePiS_
.p2align 4... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} | code for sm_80
Function : _Z21reluActivationForwardPfS_ii
.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 */
/* 0x000e22000000... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} | .file "tmpxft_000bd49a_00000000-6_reluActivationForward.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 reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} |
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 reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z21reluActivationForwardPfS_ii
.globl _Z21reluActivationForwardPfS_ii
.p2align 8
.type _Z21reluActivationForwardPfS_ii,@function
_Z21reluActivationForwardPfS_ii:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b64 s[2:3], s[0:1], 0x10
s_waitcnt lgkm... |
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 reluActivationForward(float* Z, float* A, int Z_x_dim, int Z_y_dim) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
if (index < Z_x_dim * Z_y_dim) {
A[index] = fmaxf(Z[index], 0);
}
} | .text
.file "reluActivationForward.hip"
.globl _Z36__device_stub__reluActivationForwardPfS_ii # -- Begin function _Z36__device_stub__reluActivationForwardPfS_ii
.p2align 4, 0x90
.type _Z36__device_stub__reluActivationForwardPfS_ii,@function
_Z36__device_stub__reluActivationForwardPfS_ii: # @_Z36__device_stub__reluActiv... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z21reluActivationForwardPfS_ii
.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 */
/* 0x000e22000000... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z21reluActivationForwardPfS_ii
.globl _Z21reluActivationForwardPfS_ii
.p2align 8
.type _Z21reluActivationForwardPfS_ii,@function
_Z21reluActivationForwardPfS_ii:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b64 s[2:3], s[0:1], 0x10
s_waitcnt lgkm... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000bd49a_00000000-6_reluActivationForward.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 "reluActivationForward.hip"
.globl _Z36__device_stub__reluActivationForwardPfS_ii # -- Begin function _Z36__device_stub__reluActivationForwardPfS_ii
.p2align 4, 0x90
.type _Z36__device_stub__reluActivationForwardPfS_ii,@function
_Z36__device_stub__reluActivationForwardPfS_ii: # @_Z36__device_stub__reluActiv... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
cudaError_t res = call; \
if (res != cudaSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, cudaGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void kernel(double *da, double *... | code for sm_80
Function : _Z6kernelPdS_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 R3, SR_CTAID.X ; /* 0x0000000000037919 */
/* 0x000e280000002500 */
/*0020*/ ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
cudaError_t res = call; \
if (res != cudaSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, cudaGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void kernel(double *da, double *... | .file "tmpxft_0007c2da_00000000-6_lab_1.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3954:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnre... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
cudaError_t res = call; \
if (res != cudaSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, cudaGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void kernel(double *da, double *... | #include <hip/hip_runtime.h>
#include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
hipError_t res = call; \
if (res != hipSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, hipGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void k... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
hipError_t res = call; \
if (res != hipSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, hipGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void k... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6kernelPdS_i
.globl _Z6kernelPdS_i
.p2align 8
.type _Z6kernelPdS_i,@function
_Z6kernelPdS_i:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s10, s[0:1], 0x10
s_add_u32 s2, s0, 24
s_addc_u32 s3, s1, 0
s_waitcnt lgkmcnt... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <cstdio>
#include <iomanip>
#define CSC(call) do { \
hipError_t res = call; \
if (res != hipSuccess) { \
fprintf(stderr, "CUDA Error in %s:%d: %s\n", __FILE__, __LINE__, hipGetErrorString(res)); \
exit(0); \
} \
} while (0)
using namespace std;
__global__ void k... | .text
.file "lab_1.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z21__device_stub__kernelPdS_i # -- Begin function _Z21__device_stub__kernelPdS_i
.p2align 4, 0x90
.... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z6kernelPdS_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 R3, SR_CTAID.X ; /* 0x0000000000037919 */
/* 0x000e280000002500 */
/*0020*/ ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6kernelPdS_i
.globl _Z6kernelPdS_i
.p2align 8
.type _Z6kernelPdS_i,@function
_Z6kernelPdS_i:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s10, s[0:1], 0x10
s_add_u32 s2, s0, 24
s_addc_u32 s3, s1, 0
s_waitcnt lgkmcnt... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0007c2da_00000000-6_lab_1.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3954:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnre... | .text
.file "lab_1.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z21__device_stub__kernelPdS_i # -- Begin function _Z21__device_stub__kernelPdS_i
.p2align 4, 0x90
.... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | extern "C"
__global__
void sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index < blockDim.x) {
partial_sum[... | code for sm_80
Function : sumReduction
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e2200000025... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | extern "C"
__global__
void sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index < blockDim.x) {
partial_sum[... | .file "tmpxft_00183497_00000000-6_sumReduction.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. | extern "C"
__global__
void sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index < blockDim.x) {
partial_sum[... | #include <hip/hip_runtime.h>
extern "C"
__global__
void sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index... |
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 sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected sumReduction
.globl sumReduction
.p2align 8
.type sumReduction,@function
sumReduction:
s_clause 0x1
s_load_b32 s3, s[0:1], 0x1c
s_load_b64 s[4:5], s[0:1], 0x0
s_mov_b32 s2, s15
v_lshl_add_u32 v3, v0, 3, 0
s_waitcnt lgkmc... |
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 sumReduction(double *v, double *v_r) {
extern __shared__ double partial_sum[];
int tid = blockIdx.x * blockDim.x + threadIdx.x;
partial_sum[threadIdx.x] = v[tid];
__syncthreads();
for (int s = 1; s < blockDim.x; s *= 2) {
int index = 2 * s * threadIdx.x;
if (index... | .text
.file "sumReduction.hip"
.globl __device_stub__sumReduction # -- Begin function __device_stub__sumReduction
.p2align 4, 0x90
.type __device_stub__sumReduction,@function
__device_stub__sumReduction: # @__device_stub__sumReduction
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rd... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : sumReduction
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e2200000025... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected sumReduction
.globl sumReduction
.p2align 8
.type sumReduction,@function
sumReduction:
s_clause 0x1
s_load_b32 s3, s[0:1], 0x1c
s_load_b64 s[4:5], s[0:1], 0x0
s_mov_b32 s2, s15
v_lshl_add_u32 v3, v0, 3, 0
s_waitcnt lgkmc... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00183497_00000000-6_sumReduction.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 "sumReduction.hip"
.globl __device_stub__sumReduction # -- Begin function __device_stub__sumReduction
.p2align 4, 0x90
.type __device_stub__sumReduction,@function
__device_stub__sumReduction: # @__device_stub__sumReduction
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rd... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <sys/resource.h>
#include <math.h>
#define BASETYPE float
double dwalltime(){
double sec;
struct timeval tv;
gettimeofday(&tv,NULL);
sec = tv.tv_sec + tv.tv_usec/1000000.0;
return sec;
}
__global__ void matDet(BASETYPE *d_matA, BASETYPE *detM, int de... | .file "tmpxft_000c15db_00000000-6_test2.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2061:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.c... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <sys/resource.h>
#include <math.h>
#define BASETYPE float
double dwalltime(){
double sec;
struct timeval tv;
gettimeofday(&tv,NULL);
sec = tv.tv_sec + tv.tv_usec/1000000.0;
return sec;
}
__global__ void matDet(BASETYPE *d_matA, BASETYPE *detM, int de... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <sys/resource.h>
#include <math.h>
#define BASETYPE float
double dwalltime(){
double sec;
struct timeval tv;
gettimeofday(&tv,NULL);
sec = tv.tv_sec + tv.tv_usec/1000000.0;
return sec;
}
__global__ void matDet(BASETYPE *d... |
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 <sys/time.h>
#include <sys/resource.h>
#include <math.h>
#define BASETYPE float
double dwalltime(){
double sec;
struct timeval tv;
gettimeofday(&tv,NULL);
sec = tv.tv_sec + tv.tv_usec/1000000.0;
return sec;
}
__global__ void matDet(BASETYPE *d... | .text
.file "test2.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z9dwalltimev
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl _Z9dwalltimev
.p2align 4, 0x90
.type _Z9dwalltimev,@function
_Z9dwalltimev: # @_... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000c15db_00000000-6_test2.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2061:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.c... | .text
.file "test2.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function _Z9dwalltimev
.LCPI0_0:
.quad 0x412e848000000000 # double 1.0E+6
.text
.globl _Z9dwalltimev
.p2align 4, 0x90
.type _Z9dwalltimev,@function
_Z9dwalltimev: # @_... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <iostream>
#include <vector>
//#include <cstdio> - uncomment for printf in kernels
//#include <cuda_runtime.h>
//cuda is included automatically when compiling with nvcc
typedef double REAL_T;
//-----------------------------------------------------------------------------
class CUDAEventTimer {
public:
CUDAEven... | code for sm_80
Function : _Z18cuda_kernel_cyclesx
.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*/ CS2R R2, SR_CLOCKLO ; /* 0x0000000000027805 */
/* 0x00... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <iostream>
#include <vector>
//#include <cstdio> - uncomment for printf in kernels
//#include <cuda_runtime.h>
//cuda is included automatically when compiling with nvcc
typedef double REAL_T;
//-----------------------------------------------------------------------------
class CUDAEventTimer {
public:
CUDAEven... | .file "tmpxft_0004ec85_00000000-6_cuda_blocking.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB4047:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
#include <vector>
//#include <cstdio> - uncomment for printf in kernels
//#include <cuda_runtime.h>
//cuda is included automatically when compiling with nvcc
typedef double REAL_T;
//-----------------------------------------------------------------------------
class CUDAEventTimer {
public:
CUDAEven... | #include <hip/hip_runtime.h>
#include <iostream>
#include <vector>
//#include <cstdio> - uncomment for printf in kernels
//#include <cuda_runtime.h>
//cuda is included automatically when compiling with nvcc
typedef double REAL_T;
//-----------------------------------------------------------------------------
class CUDA... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <iostream>
#include <vector>
//#include <cstdio> - uncomment for printf in kernels
//#include <cuda_runtime.h>
//cuda is included automatically when compiling with nvcc
typedef double REAL_T;
//-----------------------------------------------------------------------------
class CUDA... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z11cuda_kernelPd4dim3iii
.globl _Z11cuda_kernelPd4dim3iii
.p2align 8
.type _Z11cuda_kernelPd4dim3iii,@function
_Z11cuda_kernelPd4dim3iii:
s_clause 0x2
s_load_b64 s[2:3], s[0:1], 0x2c
s_load_b64 s[4:5], s[0:1], 0x8
s_load_b32 s6, s[0:1], 0x10
v... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | //#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | //#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ | .file "tmpxft_000a4463_00000000-6_chunk_reduction_algorithm.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@... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | //#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ | #include <hip/hip_runtime.h>
//#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
//#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ | .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>
//#include "gpu_boundary_matrix.h"
class chunk_reduction_algorithm {
public:
//gpu_boundary_matrix gpu_matrix;
public:
void local_chunk_reduction();
};
/*void chunk_reduction_algorithm::local_chunk_reduction() {
for (int cur_dim = gpu_matrix.get_max_dim(); cur_dim >= 1; cur_dim--) {
}
}*/ | .text
.file "chunk_reduction_algorithm.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/RadeonOpenCom... |
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