system stringclasses 7
values | input stringlengths 10 94.5k | output stringlengths 14 55.5k |
|---|---|---|
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_00189e9c_00000000-6_reductions.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3194:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %r... | .text
.file "reductions.hip"
.globl main # -- Begin function main
.p2align 4, 0x90
.type main,@function
main: # @main
.Lfunc_begin0:
.cfi_startproc
.cfi_personality 3, __gxx_personality_v0
.cfi_lsda 3, .Lexception0
# %bb.0:
pushq %rbp
.cfi_def_cfa_offset 16
p... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... | code for sm_80
Function : _Z15warpDivergence4Pfffi
.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 */
/* 0x000e280000002100 */
/... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... | .file "tmpxft_000a7008_00000000-6_warpDivergence.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2066:
.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. | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15warpDivergence1Pfffi
.globl _Z15warpDivergence1Pfffi
.p2align 8
.type _Z15warpDivergence1Pfffi,@function
_Z15warpDivergence1Pfffi:
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, ... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /************************************************************************
Source Code : warpDivergence.cu
Objective : To demonstrate the difference in bandwidth achieved when
threads within a warp follow different execution paths
This Program measures the bandwidth of global memory
for the initialization operation... | .text
.file "warpDivergence.hip"
.globl _Z30__device_stub__warpDivergence1Pfffi # -- Begin function _Z30__device_stub__warpDivergence1Pfffi
.p2align 4, 0x90
.type _Z30__device_stub__warpDivergence1Pfffi,@function
_Z30__device_stub__warpDivergence1Pfffi: # @_Z30__device_stub__warpDivergence1Pfffi
.cfi_startproc
# %bb.0:... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z15warpDivergence4Pfffi
.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 */
/* 0x000e280000002100 */
/... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15warpDivergence1Pfffi
.globl _Z15warpDivergence1Pfffi
.p2align 8
.type _Z15warpDivergence1Pfffi,@function
_Z15warpDivergence1Pfffi:
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, ... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000a7008_00000000-6_warpDivergence.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2066:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8... | .text
.file "warpDivergence.hip"
.globl _Z30__device_stub__warpDivergence1Pfffi # -- Begin function _Z30__device_stub__warpDivergence1Pfffi
.p2align 4, 0x90
.type _Z30__device_stub__warpDivergence1Pfffi,@function
_Z30__device_stub__warpDivergence1Pfffi: # @_Z30__device_stub__warpDivergence1Pfffi
.cfi_startproc
# %bb.0:... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + blockDim.x * bx;
unsigned int r... | code for sm_80
Function : _Z9histogramPiPhiii
.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_TID.X ; /* 0x0000000000047919 */
/* 0x000e220000002100 */
/*0020... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + blockDim.x * bx;
unsigned int r... | .file "tmpxft_00175232_00000000-6_histogram.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. | #include "includes.h"
__global__ void histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + blockDim.x * bx;
unsigned int r... | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + 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"
__global__ void histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + bl... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9histogramPiPhiii
.globl _Z9histogramPiPhiii
.p2align 8
.type _Z9histogramPiPhiii,@function
_Z9histogramPiPhiii:
v_and_b32_e32 v5, 0x3ff, v0
v_mov_b32_e32 v1, 0
v_bfe_u32 v0, v0, 10, 10
s_add_u32 s4, s0, 32
s_addc_u32 s5, s1, 0
v_ls... |
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 histogram( int * hist_out, unsigned char * img_in, int img_w,int img_h, int nbr_bin){
int tx=threadIdx.x;
int ty=threadIdx.y;
int bx=blockIdx.x;
int by=blockIdx.y;
__shared__ int smem[256];
smem[threadIdx.x]=0;
__syncthreads();
unsigned int col= tx + bl... | .text
.file "histogram.hip"
.globl _Z24__device_stub__histogramPiPhiii # -- Begin function _Z24__device_stub__histogramPiPhiii
.p2align 4, 0x90
.type _Z24__device_stub__histogramPiPhiii,@function
_Z24__device_stub__histogramPiPhiii: # @_Z24__device_stub__histogramPiPhiii
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z9histogramPiPhiii
.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_TID.X ; /* 0x0000000000047919 */
/* 0x000e220000002100 */
/*0020... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9histogramPiPhiii
.globl _Z9histogramPiPhiii
.p2align 8
.type _Z9histogramPiPhiii,@function
_Z9histogramPiPhiii:
v_and_b32_e32 v5, 0x3ff, v0
v_mov_b32_e32 v1, 0
v_bfe_u32 v0, v0, 10, 10
s_add_u32 s4, s0, 32
s_addc_u32 s5, s1, 0
v_ls... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00175232_00000000-6_histogram.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 "histogram.hip"
.globl _Z24__device_stub__histogramPiPhiii # -- Begin function _Z24__device_stub__histogramPiPhiii
.p2align 4, 0x90
.type _Z24__device_stub__histogramPiPhiii,@function
_Z24__device_stub__histogramPiPhiii: # @_Z24__device_stub__histogramPiPhiii
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} | code for sm_80
Function : _Z10column_sumPKfPfiiii
.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 R10, SR_CTAID.X ; /* 0x00000000000a7919 */
/* 0x000e220000002500 */... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} | .file "tmpxft_0008dd9c_00000000-6_column_sum.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, %r... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include "includes.h"
__global__ void column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} |
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 column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10column_sumPKfPfiiii
.globl _Z10column_sumPKfPfiiii
.p2align 8
.type _Z10column_sumPKfPfiiii,@function
_Z10column_sumPKfPfiiii:
s_clause 0x1
s_load_b64 s[2:3], s[0:1], 0x14
s_load_b32 s4, s[0:1], 0x1c
s_waitcnt lgkmcnt(0)
s_mul_i32 s15, s1... |
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 column_sum(const float* data, float* sum, int nx, int ny, int num_threads, int offset ) {
float s = 0.0;
const uint idx = threadIdx.x + blockIdx.x*num_threads+offset;
for(int i =0; i < ny; i++) {
s += data[idx + i*nx];
}
sum[idx] = s;
} | .text
.file "column_sum.hip"
.globl _Z25__device_stub__column_sumPKfPfiiii # -- Begin function _Z25__device_stub__column_sumPKfPfiiii
.p2align 4, 0x90
.type _Z25__device_stub__column_sumPKfPfiiii,@function
_Z25__device_stub__column_sumPKfPfiiii: # @_Z25__device_stub__column_sumPKfPfiiii
.cfi_startproc
# %bb.0:
subq $13... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z10column_sumPKfPfiiii
.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 R10, SR_CTAID.X ; /* 0x00000000000a7919 */
/* 0x000e220000002500 */... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z10column_sumPKfPfiiii
.globl _Z10column_sumPKfPfiiii
.p2align 8
.type _Z10column_sumPKfPfiiii,@function
_Z10column_sumPKfPfiiii:
s_clause 0x1
s_load_b64 s[2:3], s[0:1], 0x14
s_load_b32 s4, s[0:1], 0x1c
s_waitcnt lgkmcnt(0)
s_mul_i32 s15, s1... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0008dd9c_00000000-6_column_sum.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, %r... | .text
.file "column_sum.hip"
.globl _Z25__device_stub__column_sumPKfPfiiii # -- Begin function _Z25__device_stub__column_sumPKfPfiiii
.p2align 4, 0x90
.type _Z25__device_stub__column_sumPKfPfiiii,@function
_Z25__device_stub__column_sumPKfPfiiii: # @_Z25__device_stub__column_sumPKfPfiiii
.cfi_startproc
# %bb.0:
subq $13... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include<iostream>
#include<fstream>
#include<math.h>
#include<stdlib.h>
#include<curand_kernel.h>
#include<curand.h>
#include<time.h>
#define MAX_CITIES 29
#define MAX_ANTS 14
#define Q 80
#define ALPHA 0.5
#define BETA 0.8
#define RHO 0.5
using namespace std;
int n=0;
int NC = 0;
int t = 0;
struct cities
{
int x,... | .file "tmpxft_000b6cf9_00000000-6_parallel.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB4019:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaU... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include<iostream>
#include<fstream>
#include<math.h>
#include<stdlib.h>
#include<curand_kernel.h>
#include<curand.h>
#include<time.h>
#define MAX_CITIES 29
#define MAX_ANTS 14
#define Q 80
#define ALPHA 0.5
#define BETA 0.8
#define RHO 0.5
using namespace std;
int n=0;
int NC = 0;
int t = 0;
struct cities
{
int x,... | #include <hip/hip_runtime.h>
#include<iostream>
#include<fstream>
#include<math.h>
#include<stdlib.h>
#include<hiprand/hiprand_kernel.h>
#include<hiprand/hiprand.h>
#include<time.h>
#define MAX_CITIES 29
#define MAX_ANTS 14
#define Q 80
#define ALPHA 0.5
#define BETA 0.8
#define RHO 0.5
using namespace std;
int n=0... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | //XXX write kernel codes here
#include <stdlib.h>
#include <stdio.h>
#include <cuda_runtime.h>
#include <algorithm>
#include <string.h>
#include <stdio.h>
__global__
void compute(const int *results, float *avg_que, const int students, const int questions){
int bx = blockIdx.x;
int tx = threadIdx.x;
int ty = threadIdx.... | .file "tmpxft_000617fa_00000000-6_kernel.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2340:
.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. | //XXX write kernel codes here
#include <stdlib.h>
#include <stdio.h>
#include <cuda_runtime.h>
#include <algorithm>
#include <string.h>
#include <stdio.h>
__global__
void compute(const int *results, float *avg_que, const int students, const int questions){
int bx = blockIdx.x;
int tx = threadIdx.x;
int ty = threadIdx.... | //XXX write kernel codes here
#include <stdlib.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <algorithm>
#include <string.h>
#include <stdio.h>
__global__
void compute(const int *results, float *avg_que, const int students, const int questions){
int bx = blockIdx.x;
int tx = threadIdx.x;
int ty = threadI... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | //XXX write kernel codes here
#include <stdlib.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <algorithm>
#include <string.h>
#include <stdio.h>
__global__
void compute(const int *results, float *avg_que, const int students, const int questions){
int bx = blockIdx.x;
int tx = threadIdx.x;
int ty = threadI... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z7computePKiPfii
.globl _Z7computePKiPfii
.p2align 8
.type _Z7computePKiPfii,@function
_Z7computePKiPfii:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x14
s_load_b64 s[2:3], s[0:1], 0x0
v_bfe_u32 v1, v0, 10, 10
v_dual_mov_b32 v2, 0 :: v_... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | //XXX write kernel codes here
#include <stdlib.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <algorithm>
#include <string.h>
#include <stdio.h>
__global__
void compute(const int *results, float *avg_que, const int students, const int questions){
int bx = blockIdx.x;
int tx = threadIdx.x;
int ty = threadI... | .text
.file "kernel.hip"
.globl _Z22__device_stub__computePKiPfii # -- Begin function _Z22__device_stub__computePKiPfii
.p2align 4, 0x90
.type _Z22__device_stub__computePKiPfii,@function
_Z22__device_stub__computePKiPfii: # @_Z22__device_stub__computePKiPfii
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_off... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000617fa_00000000-6_kernel.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2340:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.... | .text
.file "kernel.hip"
.globl _Z22__device_stub__computePKiPfii # -- Begin function _Z22__device_stub__computePKiPfii
.p2align 4, 0x90
.type _Z22__device_stub__computePKiPfii,@function
_Z22__device_stub__computePKiPfii: # @_Z22__device_stub__computePKiPfii
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_off... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include<stdio.h>
#include<stdlib.h>
#include<math.... | code for sm_80
Function : _Z6KernelPKiPfS1_S1_fi
.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 */
/* 0x000e220000002500 */
/... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include<stdio.h>
#include<stdlib.h>
#include<math.... | .file "tmpxft_00073c8a_00000000-6_ic_sparse_cuda.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2064:
.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. | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include<stdio.h>
#include<stdlib.h>
#include<math.... | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include <hip/hip_runtime.h>
#include<stdio.h>
#inc... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include <hip/hip_runtime.h>
#include<stdio.h>
#inc... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6KernelPKiPfS1_S1_fi
.globl _Z6KernelPKiPfS1_S1_fi
.p2align 8
.type _Z6KernelPKiPfS1_S1_fi,@function
_Z6KernelPKiPfS1_S1_fi:
v_lshl_add_u32 v1, s15, 9, v0
s_load_b128 s[4:7], s[0:1], 0x0
s_mov_b32 s2, exec_lo
s_delay_alu instid0(VALU_DEP_... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /*
Sample Implementation of
Yamazaki and Tanaka (2005).
Neural Modeling of an Internal Clock.
Neural Computation 17:1032--1058.
using only global memory of CUDA.
Licensed under Creative Commons Attribution License (CC-BY)
http://creativecommons.org/licenses/by/3.0/
*/
#include <hip/hip_runtime.h>
#include<stdio.h>
#inc... | .text
.file "ic_sparse_cuda.hip"
.section .rodata.cst4,"aM",@progbits,4
.p2align 2, 0x0 # -- Begin function _Z10initializev
.LCPI0_0:
.long 0x30000000 # float 4.65661287E-10
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0
.LCPI0_1:
.quad 0x3fb999999999999a ... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z6KernelPKiPfS1_S1_fi
.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 */
/* 0x000e220000002500 */
/... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6KernelPKiPfS1_S1_fi
.globl _Z6KernelPKiPfS1_S1_fi
.p2align 8
.type _Z6KernelPKiPfS1_S1_fi,@function
_Z6KernelPKiPfS1_S1_fi:
v_lshl_add_u32 v1, s15, 9, v0
s_load_b128 s[4:7], s[0:1], 0x0
s_mov_b32 s2, exec_lo
s_delay_alu instid0(VALU_DEP_... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00073c8a_00000000-6_ic_sparse_cuda.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2064:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8... | .text
.file "ic_sparse_cuda.hip"
.section .rodata.cst4,"aM",@progbits,4
.p2align 2, 0x0 # -- Begin function _Z10initializev
.LCPI0_0:
.long 0x30000000 # float 4.65661287E-10
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0
.LCPI0_1:
.quad 0x3fb999999999999a ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)
{
int index = threadIdx.x + ... | code for sm_80
Function : _Z14addVectorsIntoPfS_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 R3, SR_CTAID.X ; /* 0x0000000000037919 */
/* 0x000e280000002500 *... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)
{
int index = threadIdx.x + ... | .file "tmpxft_001711b3_00000000-6_vector-add-streams-sliced.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@... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)
{
int index = threadIdx.x + ... | #include <hip/hip_runtime.h>
#include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z8initWithfPfi
.globl _Z8initWithfPfi
.p2align 8
.type _Z8initWithfPfi,@function
_Z8initWithfPfi:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s6, s[0:1], 0x10
s_add_u32 s2, s0, 24
s_addc_u32 s3, s1, 0
s_mov_b32 s5, ex... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
__global__
void initWith(float num, float *a, int N)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < N; i += stride)
{
a[i] = num;
}
}
__global__
void addVectorsInto(float *result, float *a, float *b, int N)... | .text
.file "vector-add-streams-sliced.hip"
.globl _Z23__device_stub__initWithfPfi # -- Begin function _Z23__device_stub__initWithfPfi
.p2align 4, 0x90
.type _Z23__device_stub__initWithfPfi,@function
_Z23__device_stub__initWithfPfi: # @_Z23__device_stub__initWithfPfi
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_d... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z14addVectorsIntoPfS_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 R3, SR_CTAID.X ; /* 0x0000000000037919 */
/* 0x000e280000002500 *... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z8initWithfPfi
.globl _Z8initWithfPfi
.p2align 8
.type _Z8initWithfPfi,@function
_Z8initWithfPfi:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x24
s_load_b32 s6, s[0:1], 0x10
s_add_u32 s2, s0, 24
s_addc_u32 s3, s1, 0
s_mov_b32 s5, ex... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_001711b3_00000000-6_vector-add-streams-sliced.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@... | .text
.file "vector-add-streams-sliced.hip"
.globl _Z23__device_stub__initWithfPfi # -- Begin function _Z23__device_stub__initWithfPfi
.p2align 4, 0x90
.type _Z23__device_stub__initWithfPfi,@function
_Z23__device_stub__initWithfPfi: # @_Z23__device_stub__initWithfPfi
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_d... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
#include <stdlib.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB ... | code for sm_80
Function : _Z6vecaddPiS_S_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_TID.X ; /* 0x0000000000067919 */
/* 0x000e220000002100 */
/*0020*/ H... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <stdlib.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB ... | .file "tmpxft_000d4a5e_00000000-6_vecAdd1B.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
#include <stdlib.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB ... | #include <stdio.h>
#include <stdlib.h>
#include "hip/hip_runtime.h"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB = (int *)calloc(n, sizeof(int));
in... |
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"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB = (int *)calloc(n, sizeof(int));
in... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6vecaddPiS_S_
.globl _Z6vecaddPiS_S_
.p2align 8
.type _Z6vecaddPiS_S_,@function
_Z6vecaddPiS_S_:
s_load_b128 s[4:7], s[0:1], 0x0
v_lshlrev_b32_e32 v0, 2, v0
s_load_b64 s[0:1], s[0:1], 0x10
s_waitcnt lgkmcnt(0)
s_clause 0x1
g... |
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"
__global__ void vecadd(int *A, int *B, int *C)
{
int i = threadIdx.x;
C[i] = A[i] + B[i];
}
int main()
{
int n;
printf("Enter the no. of elements\n");
scanf("%i", &n);
int *hA = (int *)calloc(n, sizeof(int));
int *hB = (int *)calloc(n, sizeof(int));
in... | .text
.file "vecAdd1B.hip"
.globl _Z21__device_stub__vecaddPiS_S_ # -- Begin function _Z21__device_stub__vecaddPiS_S_
.p2align 4, 0x90
.type _Z21__device_stub__vecaddPiS_S_,@function
_Z21__device_stub__vecaddPiS_S_: # @_Z21__device_stub__vecaddPiS_S_
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 11... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z6vecaddPiS_S_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_TID.X ; /* 0x0000000000067919 */
/* 0x000e220000002100 */
/*0020*/ H... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6vecaddPiS_S_
.globl _Z6vecaddPiS_S_
.p2align 8
.type _Z6vecaddPiS_S_,@function
_Z6vecaddPiS_S_:
s_load_b128 s[4:7], s[0:1], 0x0
v_lshlrev_b32_e32 v0, 2, v0
s_load_b64 s[0:1], s[0:1], 0x10
s_waitcnt lgkmcnt(0)
s_clause 0x1
g... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000d4a5e_00000000-6_vecAdd1B.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp... | .text
.file "vecAdd1B.hip"
.globl _Z21__device_stub__vecaddPiS_S_ # -- Begin function _Z21__device_stub__vecaddPiS_S_
.p2align 4, 0x90
.type _Z21__device_stub__vecaddPiS_S_,@function
_Z21__device_stub__vecaddPiS_S_: # @_Z21__device_stub__vecaddPiS_S_
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 11... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto get_time() { return chrono::... | code for sm_80
Function : _Z14convolution_1dPiS_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 R8, SR_CTAID.X ; /* 0x0000000000087919 */
/* 0x... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto get_time() { return chrono::... | .file "tmpxft_0008898b_00000000-6_convolution1d_naive.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB4401:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
c... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto get_time() { return chrono::... | #include <hip/hip_runtime.h>
#include <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z14convolution_1dPiS_S_ii
.globl _Z14convolution_1dPiS_S_ii
.p2align 8
.type _Z14convolution_1dPiS_S_ii,@function
_Z14convolution_1dPiS_S_ii:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x1c
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 <algorithm>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <vector>
#include <chrono>
using namespace std;
__global__ void convolution_1d(int *array, int *mask, int *result, int n,int m);
void verify_result(int *array, int *mask, int *result, int n, int m);
auto... | .text
.file "convolution1d_naive.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z8get_timev # -- Begin function _Z8get_timev
.p2align 4, 0x90
.type... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z14convolution_1dPiS_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 R8, SR_CTAID.X ; /* 0x0000000000087919 */
/* 0x... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z14convolution_1dPiS_S_ii
.globl _Z14convolution_1dPiS_S_ii
.p2align 8
.type _Z14convolution_1dPiS_S_ii,@function
_Z14convolution_1dPiS_S_ii:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x1c
s_waitcnt lgkmcnt(0)
s_and_b32 s2... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0008898b_00000000-6_convolution1d_naive.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB4401:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
c... | .text
.file "convolution1d_naive.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z8get_timev # -- Begin function _Z8get_timev
.p2align 4, 0x90
.type... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <cuda_runtime.h>
#include <stdio.h>
__global__ void checkIndex(void)
{
printf("threadIdx: (%d, %d, %d) blockIdx: (%d, %d, %d) blockDim: (%d, %d, %d)"
"gridDim: (%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z, blockIdx.x, blockIdx.y, blockIdx.y, blockIdx.z,
blockDim.x, blockDim.y, blockDim.z, gridDim.x, ... | code for sm_80
Function : _Z10checkIndexv
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fc800078e00ff */
/*0010*/ S2R R8, SR_CTAID.Y ; /* 0x0000000000087919 */
/* 0x000e2200000... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cuda_runtime.h>
#include <stdio.h>
__global__ void checkIndex(void)
{
printf("threadIdx: (%d, %d, %d) blockIdx: (%d, %d, %d) blockDim: (%d, %d, %d)"
"gridDim: (%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z, blockIdx.x, blockIdx.y, blockIdx.y, blockIdx.z,
blockDim.x, blockDim.y, blockDim.z, gridDim.x, ... | .file "tmpxft_0004d5f0_00000000-6_checkDimension.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... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cuda_runtime.h>
#include <stdio.h>
__global__ void checkIndex(void)
{
printf("threadIdx: (%d, %d, %d) blockIdx: (%d, %d, %d) blockDim: (%d, %d, %d)"
"gridDim: (%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z, blockIdx.x, blockIdx.y, blockIdx.y, blockIdx.z,
blockDim.x, blockDim.y, blockDim.z, gridDim.x, ... | #include <hip/hip_runtime.h>
#include <stdio.h>
__global__ void checkIndex(void)
{
printf("threadIdx: (%d, %d, %d) blockIdx: (%d, %d, %d) blockDim: (%d, %d, %d)"
"gridDim: (%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z, blockIdx.x, blockIdx.y, blockIdx.y, blockIdx.z,
blockDim.x, blockDim.y, blockDim.z, gridDim.... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
__global__ void checkIndex(void)
{
printf("threadIdx: (%d, %d, %d) blockIdx: (%d, %d, %d) blockDim: (%d, %d, %d)"
"gridDim: (%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z, blockIdx.x, blockIdx.y, blockIdx.y, blockIdx.z,
blockDim.x, blockDim.y, blockDim.z, gridDim.... | .text
.file "checkDimension.hip"
.globl _Z25__device_stub__checkIndexv # -- Begin function _Z25__device_stub__checkIndexv
.p2align 4, 0x90
.type _Z25__device_stub__checkIndexv,@function
_Z25__device_stub__checkIndexv: # @_Z25__device_stub__checkIndexv
.cfi_startproc
# %bb.0:
subq $56, %rsp
.cfi_def_cfa_offset ... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0004d5f0_00000000-6_checkDimension.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... | .text
.file "checkDimension.hip"
.globl _Z25__device_stub__checkIndexv # -- Begin function _Z25__device_stub__checkIndexv
.p2align 4, 0x90
.type _Z25__device_stub__checkIndexv,@function
_Z25__device_stub__checkIndexv: # @_Z25__device_stub__checkIndexv
.cfi_startproc
# %bb.0:
subq $56, %rsp
.cfi_def_cfa_offset ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <iostream>
//vector
int main(void)
{
// H has storage for 4 integers
thrust::host_vector<int> H(4);
// initialize individual elements
H[0] = 14;
H[1] = 20;
H[... | code for sm_80
Function : _ZN3cub17CUB_200700_800_NS6detail8for_each13static_kernelINS2_12policy_hub_t12policy_350_tElN6thrust20THRUST_200700_800_NS8cuda_cub6__fill7functorINS7_6detail15normal_iteratorINS7_10device_ptrIiEEEEiEEEEvT0_T1_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_V... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /*
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <iostream>
//vector
int main(void)
{
// H has storage for 4 integers
thrust::host_vector<int> H(4);
// initialize individual elements
H[0] = 14;
H[1] = 20;
H[... | /*
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <iostream>
//vector
int main(void)
{
// H has storage for 4 integers
thrust::host_vector<int> H(4);
// initialize individual elements
H[0] = 14;
H[1] = 20;
H[... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <iostream>
//vector
int main(void)
{
// H has storage for 4 integers
thrust::host_vector<int> H(4);
// initialize individual elements
H[0] = 14;
H[1] = 20;
H[... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_20__uninitialized_fill7functorINS_10device_ptrIiEEiEEmLj1EEEvT0_T1_S9_,"axG",@progbits,_ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_20__uninitialized_fill7functorINS_10device_ptrIiEEiEEm... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _ZN3cub17CUB_200700_800_NS6detail8for_each13static_kernelINS2_12policy_hub_t12policy_350_tElN6thrust20THRUST_200700_800_NS8cuda_cub6__fill7functorINS7_6detail15normal_iteratorINS7_10device_ptrIiEEEEiEEEEvT0_T1_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_V... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_20__uninitialized_fill7functorINS_10device_ptrIiEEiEEmLj1EEEvT0_T1_S9_,"axG",@progbits,_ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_20__uninitialized_fill7functorINS_10device_ptrIiEEiEEm... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
//using namespace Eigen;
using namespace std;
__device__ void setPhysicialParameters(float T, float *ce, float *pho, float *lamda)
{
float Ts = 1456.16f, Tl = 1522.69f, fs = 0.0f, L = 268000.0f;
if (T < Ts)
{
fs = 0;
*pho = 7250.0f;
*lamda = 50.0f;
*ce = 540.0f;
}
if (T >= Ts && T <= Tl)
{
fs = (T... | .file "tmpxft_0003cbbe_00000000-6_solvePDEKernel.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2031:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include "includes.h"
//using namespace Eigen;
using namespace std;
__device__ void setPhysicialParameters(float T, float *ce, float *pho, float *lamda)
{
float Ts = 1456.16f, Tl = 1522.69f, fs = 0.0f, L = 268000.0f;
if (T < Ts)
{
fs = 0;
*pho = 7250.0f;
*lamda = 50.0f;
*ce = 540.0f;
}
if (T >= Ts && T <= Tl)
{
fs = (T... | #include <hip/hip_runtime.h>
#include "includes.h"
//using namespace Eigen;
using namespace std;
__device__ void setPhysicialParameters(float T, float *ce, float *pho, float *lamda)
{
float Ts = 1456.16f, Tl = 1522.69f, fs = 0.0f, L = 268000.0f;
if (T < Ts)
{
fs = 0;
*pho = 7250.0f;
*lamda = 50.0f;
*ce = 540.0f;
}
if (... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
//using namespace Eigen;
using namespace std;
__device__ void setPhysicialParameters(float T, float *ce, float *pho, float *lamda)
{
float Ts = 1456.16f, Tl = 1522.69f, fs = 0.0f, L = 268000.0f;
if (T < Ts)
{
fs = 0;
*pho = 7250.0f;
*lamda = 50.0f;
*ce = 540.0f;
}
if (... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z14solvePDEKernelPfS_S_S_ffffififfiifiS_
.globl _Z14solvePDEKernelPfS_S_S_ffffififfiifiS_
.p2align 8
.type _Z14solvePDEKernelPfS_S_S_ffffififfiifiS_,@function
_Z14solvePDEKernelPfS_S_S_ffffififfiifiS_:
s_clause 0x1
s_load_b32 s20, s[0:1], 0x38
s_load_b32 s... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include "includes.h"
//using namespace Eigen;
using namespace std;
__device__ void setPhysicialParameters(float T, float *ce, float *pho, float *lamda)
{
float Ts = 1456.16f, Tl = 1522.69f, fs = 0.0f, L = 268000.0f;
if (T < Ts)
{
fs = 0;
*pho = 7250.0f;
*lamda = 50.0f;
*ce = 540.0f;
}
if (... | .text
.file "solvePDEKernel.hip"
.globl _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_ # -- Begin function _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_
.p2align 4, 0x90
.type _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_,@function
_Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0003cbbe_00000000-6_solvePDEKernel.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2031:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8... | .text
.file "solvePDEKernel.hip"
.globl _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_ # -- Begin function _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_
.p2align 4, 0x90
.type _Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_,@function
_Z29__device_stub__solvePDEKernelPfS_S_S_ffffififfiifiS_... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < m)
... | code for sm_80
Function : _Z20gpu_matrix_transposePiS_jj
.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 */
/* 0x000e280000002... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < m)
... | .file "tmpxft_0017ea68_00000000-6_lab_12_2.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp... |
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_runtime.h>
#include <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < m)
... | #include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < ... |
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 <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15gpu_matrix_multPiS_S_iii
.globl _Z15gpu_matrix_multPiS_S_iii
.p2align 8
.type _Z15gpu_matrix_multPiS_S_iii,@function
_Z15gpu_matrix_multPiS_S_iii:
s_clause 0x2
s_load_b32 s2, s[0:1], 0x34
s_load_b32 s3, s[0:1], 0x20
s_load_b32 s4, s[0:1], 0x18... |
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 <assert.h>
#define BLOCK_SIZE 16
__global__ void gpu_matrix_mult(int *a,int *b, int *c, int m, int n, int k)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int sum = 0;
if( col < k && row < ... | .text
.file "lab_12_2.hip"
.globl _Z30__device_stub__gpu_matrix_multPiS_S_iii # -- Begin function _Z30__device_stub__gpu_matrix_multPiS_S_iii
.p2align 4, 0x90
.type _Z30__device_stub__gpu_matrix_multPiS_S_iii,@function
_Z30__device_stub__gpu_matrix_multPiS_S_iii: # @_Z30__device_stub__gpu_matrix_multPiS_S_iii
.cfi_star... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z20gpu_matrix_transposePiS_jj
.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 */
/* 0x000e280000002... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15gpu_matrix_multPiS_S_iii
.globl _Z15gpu_matrix_multPiS_S_iii
.p2align 8
.type _Z15gpu_matrix_multPiS_S_iii,@function
_Z15gpu_matrix_multPiS_S_iii:
s_clause 0x2
s_load_b32 s2, s[0:1], 0x34
s_load_b32 s3, s[0:1], 0x20
s_load_b32 s4, s[0:1], 0x18... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0017ea68_00000000-6_lab_12_2.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2060:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp... | .text
.file "lab_12_2.hip"
.globl _Z30__device_stub__gpu_matrix_multPiS_S_iii # -- Begin function _Z30__device_stub__gpu_matrix_multPiS_S_iii
.p2align 4, 0x90
.type _Z30__device_stub__gpu_matrix_multPiS_S_iii,@function
_Z30__device_stub__gpu_matrix_multPiS_S_iii: # @_Z30__device_stub__gpu_matrix_multPiS_S_iii
.cfi_star... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | //ulimit -s unlimited
//gcc -lm -std=c99 NRCDML1RegLog.c && ./a.out
//nvcc CE.cu -arch sm_20 && ./a.out
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include <cuda.h>
#include "device_functions.h"
#include <curand.h>
#include <curand_kernel.h>
#inclu... | .file "tmpxft_0011c691_00000000-6_CE.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2276:
.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. | //ulimit -s unlimited
//gcc -lm -std=c99 NRCDML1RegLog.c && ./a.out
//nvcc CE.cu -arch sm_20 && ./a.out
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include <cuda.h>
#include "device_functions.h"
#include <curand.h>
#include <curand_kernel.h>
#inclu... | //ulimit -s unlimited
//gcc -lm -std=c99 NRCDML1RegLog.c && ./a.out
//nvcc CE.cu -arch sm_20 && ./a.out
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include <hip/hip_runtime.h>
#include "hip/device_functions.h"
#include <hiprand/hiprand.h>
#include ... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | //ulimit -s unlimited
//gcc -lm -std=c99 NRCDML1RegLog.c && ./a.out
//nvcc CE.cu -arch sm_20 && ./a.out
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include <hip/hip_runtime.h>
#include "hip/device_functions.h"
#include <hiprand/hiprand.h>
#include ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z13myFirstKernelPf
.globl _Z13myFirstKernelPf
.p2align 8
.type _Z13myFirstKernelPf,@function
_Z13myFirstKernelPf:
s_load_b32 s2, s[0:1], 0x14
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_alu instid0(SALU_CYCLE_1) | instskip(... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | //ulimit -s unlimited
//gcc -lm -std=c99 NRCDML1RegLog.c && ./a.out
//nvcc CE.cu -arch sm_20 && ./a.out
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include <hip/hip_runtime.h>
#include "hip/device_functions.h"
#include <hiprand/hiprand.h>
#include ... | .text
.file "CE.hip"
.globl _Z28__device_stub__myFirstKernelPf # -- Begin function _Z28__device_stub__myFirstKernelPf
.p2align 4, 0x90
.type _Z28__device_stub__myFirstKernelPf,@function
_Z28__device_stub__myFirstKernelPf: # @_Z28__device_stub__myFirstKernelPf
.cfi_startproc
# %bb.0:
subq $72, %rsp
.cfi_def_cfa_offs... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0011c691_00000000-6_CE.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2276:
.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 "CE.hip"
.globl _Z28__device_stub__myFirstKernelPf # -- Begin function _Z28__device_stub__myFirstKernelPf
.p2align 4, 0x90
.type _Z28__device_stub__myFirstKernelPf,@function
_Z28__device_stub__myFirstKernelPf: # @_Z28__device_stub__myFirstKernelPf
.cfi_startproc
# %bb.0:
subq $72, %rsp
.cfi_def_cfa_offs... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cuda.h>
#include <stdio.h>
#include <cuda.h>
#include <curand_kernel.h>
#include <time.h>
__global__ void initPRNG(int seed, curandState *rngState)
{
unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
curand_init(seed, tid, 0, &rngState[tid]);
}
__global__ void generate_uniform_int(int n, int *data, int ... | .file "tmpxft_000929ac_00000000-6_rngDevice_uniformInt.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2274:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
a... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cuda.h>
#include <stdio.h>
#include <cuda.h>
#include <curand_kernel.h>
#include <time.h>
__global__ void initPRNG(int seed, curandState *rngState)
{
unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
curand_init(seed, tid, 0, &rngState[tid]);
}
__global__ void generate_uniform_int(int n, int *data, int ... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <hiprand/hiprand_kernel.h>
#include <time.h>
__global__ void initPRNG(int seed, hiprandState *rngState)
{
unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
hiprand_init(seed, tid, 0, &rngState[tid]);
}
__global__ void generate_uniform_int(int n, int *data, ... |
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 <hiprand/hiprand_kernel.h>
#include <time.h>
__global__ void initPRNG(int seed, hiprandState *rngState)
{
unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
hiprand_init(seed, tid, 0, &rngState[tid]);
}
__global__ void generate_uniform_int(int n, int *data, ... | .text
.file "rngDevice_uniformInt.hip"
.globl _Z23__device_stub__initPRNGiP12hiprandState # -- Begin function _Z23__device_stub__initPRNGiP12hiprandState
.p2align 4, 0x90
.type _Z23__device_stub__initPRNGiP12hiprandState,@function
_Z23__device_stub__initPRNGiP12hiprandState: # @_Z23__device_stub__initPRNGiP12hiprandSta... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000929ac_00000000-6_rngDevice_uniformInt.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2274:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
a... | .text
.file "rngDevice_uniformInt.hip"
.globl _Z23__device_stub__initPRNGiP12hiprandState # -- Begin function _Z23__device_stub__initPRNGiP12hiprandState
.p2align 4, 0x90
.type _Z23__device_stub__initPRNGiP12hiprandState,@function
_Z23__device_stub__initPRNGiP12hiprandState: # @_Z23__device_stub__initPRNGiP12hiprandSta... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <curand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// Initialize variables for the GPU generat... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <curand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// Initialize variables for the GPU generat... | .file "tmpxft_000fa7c3_00000000-6_gillespieGPU.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, ... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <curand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// Initialize variables for the GPU generat... | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// In... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// In... | .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. | /*
* Alex Laubscher
* Gillespie Algorithm
* Uses a GPU generator for the numbers
*/
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <stdio.h>
#include <time.h>
int main() {
// Initializing variables for gillespie algorithm
int counter;
int death;
int total;
double tau;
double sample;
int check;
// In... | .text
.file "gillespieGPU.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0xbff0000000000000 # double -1
.LCPI0_2:
.quad 0x40f86a0000000000 # double 1.0E+5
.LCPI0_3:
.quad 0x412e848000000000 # double 1.0... |
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_000fa7c3_00000000-6_gillespieGPU.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, ... | .text
.file "gillespieGPU.hip"
.section .rodata.cst8,"aM",@progbits,8
.p2align 3, 0x0 # -- Begin function main
.LCPI0_0:
.quad 0xbff0000000000000 # double -1
.LCPI0_2:
.quad 0x40f86a0000000000 # double 1.0E+5
.LCPI0_3:
.quad 0x412e848000000000 # double 1.0... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <iostream>
#include <chrono>
#include <limits>
static double inf = std::numeric_limits<double>::max();
using namespace std::chrono;
int main() {
double s;
thrust::host_vector<double> host_AAPL;
thrust::host_vector<double> host_MSFT;
std::string ... | #include <hip/hip_runtime.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <iostream>
#include <chrono>
#include <limits>
static double inf = std::numeric_limits<double>::max();
using namespace std::chrono;
int main() {
double s;
thrust::host_vector<double> host_AAPL;
thrust::host_vector<do... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <iostream>
#include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
#define N 4
int n = 20; //it defines the range of the random number
using namespace std;
__device__ float generate( curandState* globalState, int ind ) // ind varies from 0 to N
{
//int ind = threadIdx.x;
curandState localState = globa... | .file "tmpxft_00183ccf_00000000-6_main.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3886:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnreg... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
#include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
#define N 4
int n = 20; //it defines the range of the random number
using namespace std;
__device__ float generate( curandState* globalState, int ind ) // ind varies from 0 to N
{
//int ind = threadIdx.x;
curandState localState = globa... | #include <iostream>
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_kernel.h>
#define N 4
int n = 20; //it defines the range of the random number
using namespace std;
__device__ float generate( hiprandState* globalState, int ind ) // ind varies from 0 to N
{
//int ind = threadIdx.x;
... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <iostream>
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_kernel.h>
#define N 4
int n = 20; //it defines the range of the random number
using namespace std;
__device__ float generate( hiprandState* globalState, int ind ) // ind varies from 0 to N
{
//int ind = threadIdx.x;
... | .text
.file "main.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z25__device_stub__setup_seedP12hiprandStatem # -- Begin function _Z25__device_stub__setup_seedP12hipr... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00183ccf_00000000-6_main.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3886:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnreg... | .text
.file "main.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z25__device_stub__setup_seedP12hiprandStatem # -- Begin function _Z25__device_stub__setup_seedP12hipr... |
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