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<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] = a[index] + b[index];
}
//Ra... | code for sm_80
Function : _Z3addPiS_S_i
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_TID.X ; /* 0x0000000000067919 */
/* 0x000e280000002100 */
/*0020*/ S2R... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] = a[index] + b[index];
}
//Ra... | .file "tmpxft_00055e3e_00000000-6_add_GPU.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
... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] = a[index] + b[index];
}
//Ra... | #include <hip/hip_runtime.h>
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] ... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] ... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3addPiS_S_i
.globl _Z3addPiS_S_i
.p2align 8
.type _Z3addPiS_S_i,@function
_Z3addPiS_S_i:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_alu inst... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define N 1000000 //Job size = 1M
#define M 128 // Varying Thread block size- 128, 256, 512, 1024
//add kernel
__global__ void add(int *a, int *b, int *c, int k)
{
int index = threadIdx.x+ blockIdx.x * blockDim.x;
if (index<k)
c[index] ... | .text
.file "add_GPU.hip"
.globl _Z18__device_stub__addPiS_S_i # -- Begin function _Z18__device_stub__addPiS_S_i
.p2align 4, 0x90
.type _Z18__device_stub__addPiS_S_i,@function
_Z18__device_stub__addPiS_S_i: # @_Z18__device_stub__addPiS_S_i
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
movq ... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z3addPiS_S_i
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_TID.X ; /* 0x0000000000067919 */
/* 0x000e280000002100 */
/*0020*/ S2R... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3addPiS_S_i
.globl _Z3addPiS_S_i
.p2align 8
.type _Z3addPiS_S_i,@function
_Z3addPiS_S_i:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_alu inst... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00055e3e_00000000-6_add_GPU.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
... | .text
.file "add_GPU.hip"
.globl _Z18__device_stub__addPiS_S_i # -- Begin function _Z18__device_stub__addPiS_S_i
.p2align 4, 0x90
.type _Z18__device_stub__addPiS_S_i,@function
_Z18__device_stub__addPiS_S_i: # @_Z18__device_stub__addPiS_S_i
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
movq ... |
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>
__global__ void add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0... | code for sm_80
Function : _Z4sub3PfS_Pi
.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*/ HFM... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
__global__ void add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0... | .file "tmpxft_0017f61f_00000000-6_kernel.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 "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
__global__ void add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0... | #include "hip/hip_runtime.h"
#include <stdio.h>
__global__ void add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0;
} |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include "hip/hip_runtime.h"
#include <stdio.h>
__global__ void add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0;
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z4add3PfS_Pi
.globl _Z4add3PfS_Pi
.p2align 8
.type _Z4add3PfS_Pi,@function
_Z4add3PfS_Pi:
s_load_b128 s[0:3], s[0:1], 0x0
v_lshlrev_b32_e32 v0, 2, v0
s_waitcnt lgkmcnt(0)
s_clause 0x1
global_load_b32 v1, v0, s[2:3]
global... |
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 add3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i];
}
__global__ void sub3(float *val1, float *val2, int *num_elem)
{
int i = threadIdx.x;
val1[i] += val2[i]+1;
}
int main()
{
return 0;
} | .text
.file "kernel.hip"
.globl _Z19__device_stub__add3PfS_Pi # -- Begin function _Z19__device_stub__add3PfS_Pi
.p2align 4, 0x90
.type _Z19__device_stub__add3PfS_Pi,@function
_Z19__device_stub__add3PfS_Pi: # @_Z19__device_stub__add3PfS_Pi
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 112
movq %... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z4sub3PfS_Pi
.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*/ HFM... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z4add3PfS_Pi
.globl _Z4add3PfS_Pi
.p2align 8
.type _Z4add3PfS_Pi,@function
_Z4add3PfS_Pi:
s_load_b128 s[0:3], s[0:1], 0x0
v_lshlrev_b32_e32 v0, 2, v0
s_waitcnt lgkmcnt(0)
s_clause 0x1
global_load_b32 v1, v0, s[2:3]
global... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0017f61f_00000000-6_kernel.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 "kernel.hip"
.globl _Z19__device_stub__add3PfS_Pi # -- Begin function _Z19__device_stub__add3PfS_Pi
.p2align 4, 0x90
.type _Z19__device_stub__add3PfS_Pi,@function
_Z19__device_stub__add3PfS_Pi: # @_Z19__device_stub__add3PfS_Pi
.cfi_startproc
# %bb.0:
subq $104, %rsp
.cfi_def_cfa_offset 112
movq %... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)
val = max(val, __shfl_xor_sy... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)
val = max(val, __shfl_xor_sy... | .file "tmpxft_00024bfc_00000000-6_lightseq_kernels.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2032:
.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. | namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)
val = max(val, __shfl_xor_sy... | #include <hip/hip_runtime.h>
namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)... | .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>
namespace fastertransformer {
const unsigned int WARP_REDUCE_MASK = 0xffffffff;
const float CUDA_FLOAT_INF_NEG = -100000000.f;
const unsigned int WARP_SIZE = 32;
template <typename T>
__forceinline__ __device__ T warpReduceMax(T val) {
for (int mask = (WARP_SIZE >> 1); mask > 0; mask >>= 1)... | .text
.file "lightseq_kernels.hip"
.type __hip_cuid_,@object # @__hip_cuid_
.bss
.globl __hip_cuid_
__hip_cuid_:
.byte 0 # 0x0
.size __hip_cuid_, 1
.section ".linker-options","e",@llvm_linker_options
.ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm... |
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_00024bfc_00000000-6_lightseq_kernels.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2032:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq ... | .text
.file "lightseq_kernels.hip"
.type __hip_cuid_,@object # @__hip_cuid_
.bss
.globl __hip_cuid_
__hip_cuid_:
.byte 0 # 0x0
.size __hip_cuid_, 1
.section ".linker-options","e",@llvm_linker_options
.ident "AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... | .file "tmpxft_0008c020_00000000-6_1_pinned_memory.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call ... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... | .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. | /*
Babak Poursartip
02/27/2021
CUDA
topic: pinned memory
- Instead of using malloc or new to allocation memory on the CPU(host), we use cudaHostAlloc(). This will allocate a pinned memory on the host.
- To free the memory, we use cudaFreeHost, instead of delete to deallocate.
- The disadvantage is that you cannot swap... | .text
.file "1_pinned_memory.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z6timingbb # -- Begin function _Z6timingbb
.p2align 4, 0x90
.type _Z6t... |
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_0008c020_00000000-6_1_pinned_memory.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call ... | .text
.file "1_pinned_memory.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z6timingbb # -- Begin function _Z6timingbb
.p2align 4, 0x90
.type _Z6t... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <cuda.h>
#include <cuda_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_... | code for sm_80
Function : _Z3op5Pim
.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 R5, SR_CTAID.X ; /* 0x0000000000057919 */
/* 0x000e280000002500 ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cuda.h>
#include <cuda_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_... | .file "tmpxft_00083a47_00000000-6_main.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cf... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cuda.h>
#include <cuda_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_... | #include <hip/hip_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_t N) {
size_t i... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_t N) {
size_t i... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3op1Pfm
.globl _Z3op1Pfm
.p2align 8
.type _Z3op1Pfm,@function
_Z3op1Pfm:
s_clause 0x1
s_load_b32 s4, s[0:1], 0x1c
s_load_b64 s[2:3], s[0:1], 0x8
s_waitcnt lgkmcnt(0)
s_and_b32 s4, s4, 0xffff
s_lshr_b64 s[2:3], s[... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
// read: single value-0 (50 % access)
// write: single value-1 (50 %access)
__global__
void op1(float *p, size_t N) {
size_t idx = blockDim.x * blockIdx.x + threadIdx.x;
if (idx < N / 2) {
p[idx] = p[idx] + 1;
}
}
// zero value (25% access)
__global__
void op2(float *p, size_t N) {
size_t i... | .text
.file "main.hip"
.globl _Z18__device_stub__op1Pfm # -- Begin function _Z18__device_stub__op1Pfm
.p2align 4, 0x90
.type _Z18__device_stub__op1Pfm,@function
_Z18__device_stub__op1Pfm: # @_Z18__device_stub__op1Pfm
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
mo... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00083a47_00000000-6_main.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cf... | .text
.file "main.hip"
.globl _Z18__device_stub__op1Pfm # -- Begin function _Z18__device_stub__op1Pfm
.p2align 4, 0x90
.type _Z18__device_stub__op1Pfm,@function
_Z18__device_stub__op1Pfm: # @_Z18__device_stub__op1Pfm
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_def_cfa_offset 96
movq %rdi, 56(%rsp)
mo... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} | code for sm_80
Function : _Z12divideKernelPfi
.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 */
/* 0x000e280... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} | .file "tmpxft_0002cb80_00000000-6_divideKernel.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"
__global__ void divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} |
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 divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z12divideKernelPfi
.globl _Z12divideKernelPfi
.p2align 8
.type _Z12divideKernelPfi,@function
_Z12divideKernelPfi:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x1c
s_load_b32 s3, s[0:1], 0x8
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_del... |
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 divideKernel(float* A, int size){
int id = blockIdx.x * blockDim.x + threadIdx.x;
if(id < size){
A[id] = 1.0f / A[id];
}
} | .text
.file "divideKernel.hip"
.globl _Z27__device_stub__divideKernelPfi # -- Begin function _Z27__device_stub__divideKernelPfi
.p2align 4, 0x90
.type _Z27__device_stub__divideKernelPfi,@function
_Z27__device_stub__divideKernelPfi: # @_Z27__device_stub__divideKernelPfi
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_de... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z12divideKernelPfi
.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 */
/* 0x000e280... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z12divideKernelPfi
.globl _Z12divideKernelPfi
.p2align 8
.type _Z12divideKernelPfi,@function
_Z12divideKernelPfi:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x1c
s_load_b32 s3, s[0:1], 0x8
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_del... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_0002cb80_00000000-6_divideKernel.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 "divideKernel.hip"
.globl _Z27__device_stub__divideKernelPfi # -- Begin function _Z27__device_stub__divideKernelPfi
.p2align 4, 0x90
.type _Z27__device_stub__divideKernelPfi,@function
_Z27__device_stub__divideKernelPfi: # @_Z27__device_stub__divideKernelPfi
.cfi_startproc
# %bb.0:
subq $88, %rsp
.cfi_de... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
#include <vector>
#include <ctime>
#include <cstdlib>
#include <algorithm>
#include <sstream>
#include <fstream>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/sort.h>
using namespace std;
struct element
{
int key;
float value;
double nana;
__host__ __device__
boo... | #include <hip/hip_runtime.h>
#include <iostream>
#include <vector>
#include <ctime>
#include <cstdlib>
#include <algorithm>
#include <sstream>
#include <fstream>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/sort.h>
using namespace std;
struct element
{
int key;
float value;
double ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #if __linux__ && defined(__INTEL_COMPILER)
#define __sync_fetch_and_add(ptr,addend) _InterlockedExchangeAdd(const_cast<void*>(reinterpret_cast<volatile void*>(ptr)), addend)
#endif
#include <string>
#include <cstring>
#include <cctype>
#include <cstdlib>
#include <cstdio>
#include <iostream>
#include <fstream>
#include... | code for sm_80
Function : _ZN3cub17CUB_200700_800_NS6detail8for_each13static_kernelINS2_12policy_hub_t12policy_350_tElN6thrust20THRUST_200700_800_NS8cuda_cub11__transform18binary_transform_fINS7_6detail15normal_iteratorINS7_10device_ptrImEEEESF_SF_NS9_14no_stencil_tagENS7_7bit_andImEENS9_21always_true_predicateEEEEEvT0... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #if __linux__ && defined(__INTEL_COMPILER)
#define __sync_fetch_and_add(ptr,addend) _InterlockedExchangeAdd(const_cast<void*>(reinterpret_cast<volatile void*>(ptr)), addend)
#endif
#include <string>
#include <cstring>
#include <cctype>
#include <cstdlib>
#include <cstdio>
#include <iostream>
#include <fstream>
#include... | #if __linux__ && defined(__INTEL_COMPILER)
#define __sync_fetch_and_add(ptr,addend) _InterlockedExchangeAdd(const_cast<void*>(reinterpret_cast<volatile void*>(ptr)), addend)
#endif
#include <hip/hip_runtime.h>
#include <string>
#include <cstring>
#include <cctype>
#include <cstdlib>
#include <cstdio>
#include <iostream... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #if __linux__ && defined(__INTEL_COMPILER)
#define __sync_fetch_and_add(ptr,addend) _InterlockedExchangeAdd(const_cast<void*>(reinterpret_cast<volatile void*>(ptr)), addend)
#endif
#include <hip/hip_runtime.h>
#include <string>
#include <cstring>
#include <cctype>
#include <cstdlib>
#include <cstdio>
#include <iostream... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_11__transform18binary_transform_fINS_6detail15normal_iteratorINS_10device_ptrImEEEES9_S9_NS3_14no_stencil_tagENS_7bit_andImEENS3_21always_true_predicateEEElLj1EEEvT0_T1_SG_,"axG",@progbits,_ZN6thrus... |
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_cub11__transform18binary_transform_fINS7_6detail15normal_iteratorINS7_10device_ptrImEEEESF_SF_NS9_14no_stencil_tagENS7_7bit_andImEENS9_21always_true_predicateEEEEEvT0... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.section .text._ZN6thrust11hip_rocprim14__parallel_for6kernelILj256ENS0_11__transform18binary_transform_fINS_6detail15normal_iteratorINS_10device_ptrImEEEES9_S9_NS3_14no_stencil_tagENS_7bit_andImEENS3_21always_true_predicateEEElLj1EEEvT0_T1_SG_,"axG",@progbits,_ZN6thrus... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cuda.h>
#include <cuda_runtime.h>
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/inner_product.h>
#include <thrust/reduce.h>
#include <thrust/iterator/constant_iterator.h>
#include <thrust/sort.h>
#include <iostream>
typedef thrust::device_vector<int> int... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/inner_product.h>
#include <thrust/reduce.h>
#include <thrust/iterator/constant_iterator.h>
#include <thrust/sort.h>
#include <iostream>
typedef thrust::device_vector<int> int_vec;
template ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
cudaMalloc( (void**)&dev_a, n * sizeof(int) );
cudaMalloc( (void**)&dev_b, n * ... | code for sm_80 |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
cudaMalloc( (void**)&dev_a, n * sizeof(int) );
cudaMalloc( (void**)&dev_b, n * ... | .file "tmpxft_00034919_00000000-6_nyTest.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2062:
.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>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
cudaMalloc( (void**)&dev_a, n * sizeof(int) );
cudaMalloc( (void**)&dev_b, n * ... | #include <hip/hip_runtime.h>
#include <stdio.h>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
hipMalloc( (void**)&dev_a, n * sizeof(int) );
hipM... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
hipMalloc( (void**)&dev_a, n * sizeof(int) );
hipM... | .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>
extern "C"
int example(int a, int b){
return a + b;
}
extern "C"
void example2(int input){
printf("%s%d\n", "hello ", input);
}
extern "C"
void gpuTest(void){
int n = 10;
int a[n], b[n], c[n];
int *dev_a, *dev_b, *dev_c;
hipMalloc( (void**)&dev_a, n * sizeof(int) );
hipM... | .text
.file "nyTest.hip"
.globl example # -- Begin function example
.p2align 4, 0x90
.type example,@function
example: # @example
.cfi_startproc
# %bb.0:
# kill: def $esi killed $esi def $rsi
... |
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_00034919_00000000-6_nyTest.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2062:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.... | .text
.file "nyTest.hip"
.globl example # -- Begin function example
.p2align 4, 0x90
.type example,@function
example: # @example
.cfi_startproc
# %bb.0:
# kill: def $esi killed $esi def $rsi
... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <cassert>
#include <cstdio>
const int BLOCK_SIZE = 16;
#define getX (conv ? blockI[i][threadIdx.x] : blockI[threadIdx.y][i])
#define getW (conv ? blockW[i][threadIdx.y] : blockW[i][threadIdx.x])
template <bool conv>
__global__ void inf_dist_forward_kernel(const float* __restrict__ input, const float* __restric... | .file "tmpxft_001a68a3_00000000-6_inf_dist_cuda.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL63__device_stub__Z23inf_dist_forward_kernelILb0EEvPKfS1_iiiiiPfPiPKfS0_iiiiiPfPi, @function
_ZL63__device_stub__Z23inf_dist_forward_kernelILb0EEvPKfS1_iiiiiPfPiPKfS0_iiiiiPfPi:
.LFB2093:
.cfi_startproc
subq $200, %rsp
.cfi_def_cfa_... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <cassert>
#include <cstdio>
const int BLOCK_SIZE = 16;
#define getX (conv ? blockI[i][threadIdx.x] : blockI[threadIdx.y][i])
#define getW (conv ? blockW[i][threadIdx.y] : blockW[i][threadIdx.x])
template <bool conv>
__global__ void inf_dist_forward_kernel(const float* __restrict__ input, const float* __restric... | #include <hip/hip_runtime.h>
#include <cassert>
#include <cstdio>
const int BLOCK_SIZE = 16;
#define getX (conv ? blockI[i][threadIdx.x] : blockI[threadIdx.y][i])
#define getW (conv ? blockW[i][threadIdx.y] : blockW[i][threadIdx.x])
template <bool conv>
__global__ void inf_dist_forward_kernel(const float* __restrict__ ... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <math.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <time.h>
__global__ void calculations_inv(float *d_array, float *ans,int *n, long *iter)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
float *d_ptr_array = d_array;
int i;
//obliczanie sumy
//ustawienie wskaznika na odpowiedni... | .file "tmpxft_00137bbc_00000000-6_main3.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
.c... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
#include <math.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <time.h>
__global__ void calculations_inv(float *d_array, float *ans,int *n, long *iter)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
float *d_ptr_array = d_array;
int i;
//obliczanie sumy
//ustawienie wskaznika na odpowiedni... | #include <stdio.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <time.h>
__global__ void calculations_inv(float *d_array, float *ans,int *n, long *iter)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
float *d_ptr_array = d_array;
int i;
//obliczanie sumy
//ustawienie wskaznika na odpowiedni wiersz tablicy... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <stdio.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <time.h>
__global__ void calculations_inv(float *d_array, float *ans,int *n, long *iter)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
float *d_ptr_array = d_array;
int i;
//obliczanie sumy
//ustawienie wskaznika na odpowiedni wiersz tablicy... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z16calculations_invPfS_PiPl
.globl _Z16calculations_invPfS_PiPl
.p2align 8
.type _Z16calculations_invPfS_PiPl,@function
_Z16calculations_invPfS_PiPl:
s_clause 0x1
s_load_b64 s[2:3], s[0:1], 0x18
s_load_b32 s4, s[0:1], 0x2c
s_waitcnt lgkmcnt(0)
s_... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <stdio.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <time.h>
__global__ void calculations_inv(float *d_array, float *ans,int *n, long *iter)
{
int id = blockIdx.x * blockDim.x + threadIdx.x;
float *d_ptr_array = d_array;
int i;
//obliczanie sumy
//ustawienie wskaznika na odpowiedni wiersz tablicy... | .text
.file "main3.hip"
.globl _Z31__device_stub__calculations_invPfS_PiPl # -- Begin function _Z31__device_stub__calculations_invPfS_PiPl
.p2align 4, 0x90
.type _Z31__device_stub__calculations_invPfS_PiPl,@function
_Z31__device_stub__calculations_invPfS_PiPl: # @_Z31__device_stub__calculations_invPfS_PiPl
.cfi_startpr... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00137bbc_00000000-6_main3.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
.c... | .text
.file "main3.hip"
.globl _Z31__device_stub__calculations_invPfS_PiPl # -- Begin function _Z31__device_stub__calculations_invPfS_PiPl
.p2align 4, 0x90
.type _Z31__device_stub__calculations_invPfS_PiPl,@function
_Z31__device_stub__calculations_invPfS_PiPl: # @_Z31__device_stub__calculations_invPfS_PiPl
.cfi_startpr... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iterative-quick-sort/
*
* Paralle... | code for sm_80
Function : _Z9quickhullP5PointS0_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*/ EXIT ; /* 0x000000000000794d */
/* 0x000fea0003800000 */
/*0020*/ BRA 0... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iterative-quick-sort/
*
* Paralle... | .file "tmpxft_000eaf2b_00000000-6_quickhull.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2075:
.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 <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iterative-quick-sort/
*
* Paralle... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iter... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iter... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9quickhullP5PointS0_i
.globl _Z9quickhullP5PointS0_i
.p2align 8
.type _Z9quickhullP5PointS0_i,@function
_Z9quickhullP5PointS0_i:
s_endpgm
.section .rodata,"a",@progbits
.p2align 6, 0x0
.amdhsa_kernel _Z9quickhullP5PointS0_i
.amdhsa_group_s... |
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 <string.h>
#include <math.h>
/**
* Quickhull.cu
* Author: Michael Gruesen
* A quickhull implementation for NVIDIA GPGPU Compute Capability 2.0
*
* Serial QSort Code Adapted
* from : Aashish Barnwal
* source: http://www.geeksforgeeks.org/iter... | .text
.file "quickhull.hip"
.globl _Z24__device_stub__quickhullP5PointS0_i # -- Begin function _Z24__device_stub__quickhullP5PointS0_i
.p2align 4, 0x90
.type _Z24__device_stub__quickhullP5PointS0_i,@function
_Z24__device_stub__quickhullP5PointS0_i: # @_Z24__device_stub__quickhullP5PointS0_i
.cfi_startproc
# %bb.0:
subq... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z9quickhullP5PointS0_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*/ EXIT ; /* 0x000000000000794d */
/* 0x000fea0003800000 */
/*0020*/ BRA 0... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z9quickhullP5PointS0_i
.globl _Z9quickhullP5PointS0_i
.p2align 8
.type _Z9quickhullP5PointS0_i,@function
_Z9quickhullP5PointS0_i:
s_endpgm
.section .rodata,"a",@progbits
.p2align 6, 0x0
.amdhsa_kernel _Z9quickhullP5PointS0_i
.amdhsa_group_s... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include "includes.h"
__global__ void TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy * stride;
if (ix >= width ||... | code for sm_80
Function : _Z33TgvComputeOpticalFlowVectorKernelPKfPK6float2iiiPS1_
.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.Y ; /* 0x000000000003... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include "includes.h"
__global__ void TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy * stride;
if (ix >= width ||... | .file "tmpxft_001b246f_00000000-6_TgvComputeOpticalFlowVectorKernel.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 __cudaUnregisterFa... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include "includes.h"
__global__ void TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy * stride;
if (ix >= width ||... | #include <hip/hip_runtime.h>
#include "includes.h"
__global__ void TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy... |
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 TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.globl _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.p2align 8
.type _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_,@function
_Z... |
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 TgvComputeOpticalFlowVectorKernel(const float *u, const float2 *tv2, int width, int height, int stride, float2 *warpUV)
{
const int ix = threadIdx.x + blockIdx.x * blockDim.x;
const int iy = threadIdx.y + blockIdx.y * blockDim.y;
const int pos = ix + iy... | .text
.file "TgvComputeOpticalFlowVectorKernel.hip"
.globl _Z48__device_stub__TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_ # -- Begin function _Z48__device_stub__TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.p2align 4, 0x90
.type _Z48__device_stub__TgvComputeOpticalFlow... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z33TgvComputeOpticalFlowVectorKernelPKfPK6float2iiiPS1_
.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.Y ; /* 0x000000000003... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.globl _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.p2align 8
.type _Z33TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_,@function
_Z... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_001b246f_00000000-6_TgvComputeOpticalFlowVectorKernel.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 __cudaUnregisterFa... | .text
.file "TgvComputeOpticalFlowVectorKernel.hip"
.globl _Z48__device_stub__TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_ # -- Begin function _Z48__device_stub__TgvComputeOpticalFlowVectorKernelPKfPK15HIP_vector_typeIfLj2EEiiiPS2_
.p2align 4, 0x90
.type _Z48__device_stub__TgvComputeOpticalFlow... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_c; //device variables
int siz... | code for sm_80
Function : _Z3addPiS_S_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e220000002500 */
/*0020*/ HF... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_c; //device variables
int siz... | .file "tmpxft_00172314_00000000-6_vector_add_blocks.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
cal... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_c; //device variables
int siz... | #include <hip/hip_runtime.h>
#include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3addPiS_S_
.globl _Z3addPiS_S_
.p2align 8
.type _Z3addPiS_S_,@function
_Z3addPiS_S_:
s_load_b128 s[4:7], s[0:1], 0x0
s_mov_b32 s2, s15
s_mov_b32 s3, 0
s_load_b64 s[0:1], s[0:1], 0x10
s_lshl_b64 s[2:3], s[2:3], 2
s_wait... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
#include <iostream>
__global__ void add(int*a, int*b, int*c)
{
c[blockIdx.x] = a[blockIdx.x] + b[blockIdx.x];
}
void random_ints(int* a, int N)
{
int i;
for (i = 0; i < N; ++i)
{
a[i] = rand()%1000;
}
}
#define N 1000000000
int main(void){
int *a,*b,*c; //host variables
int *d_a, *d_b, *d_... | .text
.file "vector_add_blocks.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z18__device_stub__addPiS_S_ # -- Begin function _Z18__device_stub__addPiS_S_
.p2align... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z3addPiS_S_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e220000002500 */
/*0020*/ HF... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z3addPiS_S_
.globl _Z3addPiS_S_
.p2align 8
.type _Z3addPiS_S_,@function
_Z3addPiS_S_:
s_load_b128 s[4:7], s[0:1], 0x0
s_mov_b32 s2, s15
s_mov_b32 s3, 0
s_load_b64 s[0:1], s[0:1], 0x10
s_lshl_b64 s[2:3], s[2:3], 2
s_wait... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_00172314_00000000-6_vector_add_blocks.cudafe1.cpp"
.text
#APP
.globl _ZSt21ios_base_library_initv
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB3673:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
cal... | .text
.file "vector_add_blocks.hip"
# Start of file scope inline assembly
.globl _ZSt21ios_base_library_initv
# End of file scope inline assembly
.globl _Z18__device_stub__addPiS_S_ # -- Begin function _Z18__device_stub__addPiS_S_
.p2align... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <sstream>
#include <fstream>
#include <set>
#include <iostream>
#include <map>
#include <vector>
#include <iostream>
#include <bits/stdc++.h>
#include <sstream>
#include <ctime>
#include <cstdint>
#include <stdint.h>
#define SQUEEZE 32
#define DELIMITR " "
#define IS_CHANGED 1
#define NOT_CHANGED 0
#define BLO... | code for sm_80
Function : _Z15gpu_matrix_multPjS_S_iiiS_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */
/... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <sstream>
#include <fstream>
#include <set>
#include <iostream>
#include <map>
#include <vector>
#include <iostream>
#include <bits/stdc++.h>
#include <sstream>
#include <ctime>
#include <cstdint>
#include <stdint.h>
#define SQUEEZE 32
#define DELIMITR " "
#define IS_CHANGED 1
#define NOT_CHANGED 0
#define BLO... | #include <hip/hip_runtime.h>
#include <sstream>
#include <fstream>
#include <set>
#include <iostream>
#include <map>
#include <vector>
#include <iostream>
#include <bits/stdc++.h>
#include <sstream>
#include <ctime>
#include <cstdint>
#include <stdint.h>
#define SQUEEZE 32
#define DELIMITR " "
#define IS_CHANGED 1
#def... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <sstream>
#include <fstream>
#include <set>
#include <iostream>
#include <map>
#include <vector>
#include <iostream>
#include <bits/stdc++.h>
#include <sstream>
#include <ctime>
#include <cstdint>
#include <stdint.h>
#define SQUEEZE 32
#define DELIMITR " "
#define IS_CHANGED 1
#def... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15gpu_matrix_multPjS_S_iiiS_
.globl _Z15gpu_matrix_multPjS_S_iiiS_
.p2align 8
.type _Z15gpu_matrix_multPjS_S_iiiS_,@function
_Z15gpu_matrix_multPjS_S_iiiS_:
s_clause 0x2
s_load_b32 s2, s[0:1], 0x3c
s_load_b32 s3, s[0:1], 0x20
s_load_b32 s4, s[0:1]... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z15gpu_matrix_multPjS_S_iiiS_
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ IMAD.MOV.U32 R1, RZ, RZ, c[0x0][0x28] ; /* 0x00000a00ff017624 */
/* 0x000fe400078e00ff */
/*0010*/ S2R R0, SR_CTAID.X ; /* 0x0000000000007919 */
/... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z15gpu_matrix_multPjS_S_iiiS_
.globl _Z15gpu_matrix_multPjS_S_iiiS_
.p2align 8
.type _Z15gpu_matrix_multPjS_S_iiiS_,@function
_Z15gpu_matrix_multPjS_S_iiiS_:
s_clause 0x2
s_load_b32 s2, s[0:1], 0x3c
s_load_b32 s3, s[0:1], 0x20
s_load_b32 s4, s[0:1]... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | /* SorensonPar.cu
Parallel Implementation of Algorithm 4.1
as discussed in Sorenson and Parberry's
1994 paper "Two Fast Parallel Prime Number
Sieves".
Authors:
Daniel Anzaldo
David Frank
Antonio Lanfranchi
*/
// Visual Studio Dependencies (Can be commented out)
#include "cuda_runtime.h"
#include "device_launch_paramete... | .file "tmpxft_00195b50_00000000-6_SorensonPar.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2350:
.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. | /* SorensonPar.cu
Parallel Implementation of Algorithm 4.1
as discussed in Sorenson and Parberry's
1994 paper "Two Fast Parallel Prime Number
Sieves".
Authors:
Daniel Anzaldo
David Frank
Antonio Lanfranchi
*/
// Visual Studio Dependencies (Can be commented out)
#include "cuda_runtime.h"
#include "device_launch_paramete... | /* SorensonPar.cu
Parallel Implementation of Algorithm 4.1
as discussed in Sorenson and Parberry's
1994 paper "Two Fast Parallel Prime Number
Sieves".
Authors:
Daniel Anzaldo
David Frank
Antonio Lanfranchi
*/
// Visual Studio Dependencies (Can be commented out)
#include "hip/hip_runtime.h"
// C dependencies
#include <s... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | /* SorensonPar.cu
Parallel Implementation of Algorithm 4.1
as discussed in Sorenson and Parberry's
1994 paper "Two Fast Parallel Prime Number
Sieves".
Authors:
Daniel Anzaldo
David Frank
Antonio Lanfranchi
*/
// Visual Studio Dependencies (Can be commented out)
#include "hip/hip_runtime.h"
// C dependencies
#include <s... | .text
.file "SorensonPar.hip"
.globl _Z34__device_stub__parallelSieveKernelyyy7Wheel_tyPb # -- Begin function _Z34__device_stub__parallelSieveKernelyyy7Wheel_tyPb
.p2align 4, 0x90
.type _Z34__device_stub__parallelSieveKernelyyy7Wheel_tyPb,@function
_Z34__device_stub__parallelSieveKernelyyy7Wheel_tyPb: # @_Z34__device_s... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | //device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*)malloc(size);
float* h_B = (... | code for sm_80
Function : _Z6VecAddPfS_S_i
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e280000002500 */
/*0020*... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | //device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*)malloc(size);
float* h_B = (... | .file "tmpxft_000064ab_00000000-6_mem.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cfi... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | //device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*)malloc(size);
float* h_B = (... | #include <hip/hip_runtime.h>
//device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
//device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6VecAddPfS_S_i
.globl _Z6VecAddPfS_S_i
.p2align 8
.type _Z6VecAddPfS_S_i,@function
_Z6VecAddPfS_S_i:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_al... |
You are a helpful coding assistant specialized in converting HIP source code to AMD host assembly. | #include <hip/hip_runtime.h>
//device code
__global__ void VecAdd(float* a, float* b, float* c, int N)
{
int i = blockDim.x * blockIdx.x + threadIdx.x;
if (i < N)
{
c[i] = a[i] + b[i];
}
}
//host code
int main()
{
int N = 1024;
size_t size = N*sizeof(float);
//allocate input vectors in host memory
float* h_A = (float*... | .text
.file "mem.hip"
.globl _Z21__device_stub__VecAddPfS_S_i # -- Begin function _Z21__device_stub__VecAddPfS_S_i
.p2align 4, 0x90
.type _Z21__device_stub__VecAddPfS_S_i,@function
_Z21__device_stub__VecAddPfS_S_i: # @_Z21__device_stub__VecAddPfS_S_i
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128... |
You are a helpful coding assistant specialized in converting from CUDA device assembly to AMD device assembly. | code for sm_80
Function : _Z6VecAddPfS_S_i
.headerflags @"EF_CUDA_TEXMODE_UNIFIED EF_CUDA_64BIT_ADDRESS EF_CUDA_SM80 EF_CUDA_VIRTUAL_SM(EF_CUDA_SM80)"
/*0000*/ MOV R1, c[0x0][0x28] ; /* 0x00000a0000017a02 */
/* 0x000fe40000000f00 */
/*0010*/ S2R R6, SR_CTAID.X ; /* 0x0000000000067919 */
/* 0x000e280000002500 */
/*0020*... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6VecAddPfS_S_i
.globl _Z6VecAddPfS_S_i
.p2align 8
.type _Z6VecAddPfS_S_i,@function
_Z6VecAddPfS_S_i:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_al... |
You are a helpful coding assistant specialized in converting from CUDA host assembly to AMD host assembly. | .file "tmpxft_000064ab_00000000-6_mem.cudafe1.cpp"
.text
#APP
#NO_APP
.type _ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2030:
.cfi_startproc
endbr64
subq $8, %rsp
.cfi_def_cfa_offset 16
movq _ZL20__cudaFatCubinHandle(%rip), %rdi
call __cudaUnregisterFatBinary@PLT
addq $8, %rsp
.cfi... | .text
.file "mem.hip"
.globl _Z21__device_stub__VecAddPfS_S_i # -- Begin function _Z21__device_stub__VecAddPfS_S_i
.p2align 4, 0x90
.type _Z21__device_stub__VecAddPfS_S_i,@function
_Z21__device_stub__VecAddPfS_S_i: # @_Z21__device_stub__VecAddPfS_S_i
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA device assembly. | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
double *d_a, *d_b, *d_c;
size_t b... | code for sm_80
Function : _Z6vecAddPdS_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 R8, SR_CTAID.X ; /* 0x0000000000087919 */
/* 0x000e280000002500 */
/*0020*... |
You are a helpful coding assistant specialized in converting CUDA source code to CUDA host assembly. | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
double *d_a, *d_b, *d_c;
size_t b... | .file "tmpxft_0010506f_00000000-6_1.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_d... |
You are a helpful coding assistant specialized in converting CUDA source code to HIP/AMD source code. | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
double *d_a, *d_b, *d_c;
size_t b... | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
doub... |
You are a helpful coding assistant specialized in converting HIP source code to AMD device assembly. | #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
doub... | .text
.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
.protected _Z6vecAddPdS_S_i
.globl _Z6vecAddPdS_S_i
.p2align 8
.type _Z6vecAddPdS_S_i,@function
_Z6vecAddPdS_S_i:
s_clause 0x1
s_load_b32 s2, s[0:1], 0x2c
s_load_b32 s3, s[0:1], 0x18
s_waitcnt lgkmcnt(0)
s_and_b32 s2, s2, 0xffff
s_delay_al... |
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 <math.h>
__global__ void vecAdd(double * a, double * b, double * c, int n) {
int id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < n)
c[id] = a[id] + b[id];
}
int main(int argc, char * argv[]) {
int n = 100, i;
double *h_a, *h_b, *h_c;
doub... | .text
.file "1.hip"
.globl _Z21__device_stub__vecAddPdS_S_i # -- Begin function _Z21__device_stub__vecAddPdS_S_i
.p2align 4, 0x90
.type _Z21__device_stub__vecAddPdS_S_i,@function
_Z21__device_stub__vecAddPdS_S_i: # @_Z21__device_stub__vecAddPdS_S_i
.cfi_startproc
# %bb.0:
subq $120, %rsp
.cfi_def_cfa_offset 128
m... |
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