//#include "cuda_runtime.h"
//#include "device_launch_parameters.h"
//
//#include <stdio.h>
//#include <iostream>
//#include <time.h>
//
//void CHECK(cudaError_t error)
//{
//	if (error != cudaSuccess)
//	{
//		printf("Error : %s : %d, ", __FILE__, __LINE__);
//		printf("code : %d, reason: %s \n", error, cudaGetErrorString(error));
//		exit(1);
//	}
//}
//
//void checkResult(float *host_ref, float *gpu_ref, const int N)
//{
//	double epsilon = 0.0000001;
//	bool match = 1;
//
//	for (size_t i = 0; i < N; i++)
//	{
//		if (abs(host_ref[i] - gpu_ref[i]) > epsilon)
//		{
//			match = 0;
//			printf("Arrays do not match! \n");
//			printf("host %5.2f  gpu %5.2f at current %d\n", host_ref[i], gpu_ref[i], N);
//			break;
//		}
//	}
//
//	if (match) printf("Arrays match . \n\n");
//}
//
//void initialize_data_s(float * ip, int size)
//{
//	time_t t;
//	srand((unsigned)time(&t));
//
//	for (size_t i = 0; i < size; i++)
//	{
//		ip[i] = (float)(rand() & 0xFF) / 10.0f;
//	}
//}
//
//void sum_array_cpu(float * a, float *  b, float * c, const int N)
//{
//	for (size_t i = 0; i < N; i++)
//	{
//		c[i] = a[i] + b[i];
//	}
//}
//
//__global__ void sum_array_gpu(float * a, float *  b, float * c)
//{
//	int i = threadIdx.x;
//	c[i] = a[i] + b[i];
//	printf("a =%f  b = %f c = %f \n", a[i], b[i], c[i]);
//}
//
//void run_code()
//{
//	int element_Count = 32;
//	size_t number_bytes = element_Count * sizeof(float);
//
//	float *h_a, *h_b, *host_ref, *gpu_ref;
//
//	h_a = (float *)malloc(number_bytes);
//	h_b = (float *)malloc(number_bytes);
//	host_ref = (float *)malloc(number_bytes);
//	gpu_ref = (float *)malloc(number_bytes);
//
//	initialize_data_s(h_a, element_Count);
//	initialize_data_s(h_b, element_Count);
//
//	memset(host_ref, 0, number_bytes);
//	memset(gpu_ref, 0, number_bytes);
//
//	float *d_a, *d_b, *d_c;
//	cudaMalloc((float **)&d_a, number_bytes);
//	cudaMalloc((float **)&d_b, number_bytes);
//	cudaMalloc((float **)&d_c, number_bytes);
//
//	cudaMemcpy(d_a, h_a, number_bytes, cudaMemcpyHostToDevice);
//	cudaMemcpy(d_b, h_b, number_bytes, cudaMemcpyHostToDevice);
//
//	dim3 block(element_Count);
//	dim3 grid(element_Count / block.x);
//
//	sum_array_gpu << <grid, block >> > (d_a, d_b, d_c);
//
//	cudaMemcpy(gpu_ref, d_c, number_bytes, cudaMemcpyDeviceToHost);
//
//	cudaFree(d_a);
//	cudaFree(d_b);
//	cudaFree(d_c);
//
//	free(h_a);
//	free(h_b);
//	free(host_ref);
//	free(gpu_ref);
//}
//
////int main()
////{
////	run_code();
////	system("pause");
////	return 0;
////}
	.file	"tmpxft_002fdc31_00000000-6_sum_array_2_complete.cudafe1.cpp"
	.text
#APP

#NO_APP
	.type	_ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2010:
	.cfi_startproc
	endbr64
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	jmp	__cudaUnregisterFatBinary@PLT
	.cfi_endproc
.LFE2010:
	.size	_ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv
	.section	.text.startup,"ax",@progbits
	.type	_ZL24__sti____cudaRegisterAllv, @function
_ZL24__sti____cudaRegisterAllv:
.LFB2033:
	.cfi_startproc
	endbr64
	pushq	%rax
	.cfi_def_cfa_offset 16
	leaq	_ZL15__fatDeviceText(%rip), %rdi
	call	__cudaRegisterFatBinary@PLT
	movq	%rax, %rdi
	movq	%rax, _ZL20__cudaFatCubinHandle(%rip)
	call	__cudaRegisterFatBinaryEnd@PLT
	leaq	_ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi
	popq	%rdx
	.cfi_def_cfa_offset 8
	jmp	atexit@PLT
	.cfi_endproc
.LFE2033:
	.size	_ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv
	.section	.init_array,"aw"
	.align 8
	.quad	_ZL24__sti____cudaRegisterAllv
	.section	.nvFatBinSegment,"aw"
	.align 8
	.type	_ZL15__fatDeviceText, @object
	.size	_ZL15__fatDeviceText, 24
_ZL15__fatDeviceText:
	.long	1180844977
	.long	1
	.quad	fatbinData
	.quad	0
	.local	_ZL20__cudaFatCubinHandle
	.comm	_ZL20__cudaFatCubinHandle,8,8
	.ident	"GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0"
	.section	.note.GNU-stack,"",@progbits
	.section	.note.gnu.property,"a"
	.align 8
	.long	1f - 0f
	.long	4f - 1f
	.long	5
0:
	.string	"GNU"
1:
	.align 8
	.long	0xc0000002
	.long	3f - 2f
2:
	.long	0x3
3:
	.align 8
4:


#include <hip/hip_runtime.h>
//#include "cuda_runtime.h"
//#include "device_launch_parameters.h"
//
//#include <stdio.h>
//#include <iostream>
//#include <time.h>
//
//void CHECK(cudaError_t error)
//{
//	if (error != cudaSuccess)
//	{
//		printf("Error : %s : %d, ", __FILE__, __LINE__);
//		printf("code : %d, reason: %s \n", error, cudaGetErrorString(error));
//		exit(1);
//	}
//}
//
//void checkResult(float *host_ref, float *gpu_ref, const int N)
//{
//	double epsilon = 0.0000001;
//	bool match = 1;
//
//	for (size_t i = 0; i < N; i++)
//	{
//		if (abs(host_ref[i] - gpu_ref[i]) > epsilon)
//		{
//			match = 0;
//			printf("Arrays do not match! \n");
//			printf("host %5.2f  gpu %5.2f at current %d\n", host_ref[i], gpu_ref[i], N);
//			break;
//		}
//	}
//
//	if (match) printf("Arrays match . \n\n");
//}
//
//void initialize_data_s(float * ip, int size)
//{
//	time_t t;
//	srand((unsigned)time(&t));
//
//	for (size_t i = 0; i < size; i++)
//	{
//		ip[i] = (float)(rand() & 0xFF) / 10.0f;
//	}
//}
//
//void sum_array_cpu(float * a, float *  b, float * c, const int N)
//{
//	for (size_t i = 0; i < N; i++)
//	{
//		c[i] = a[i] + b[i];
//	}
//}
//
//__global__ void sum_array_gpu(float * a, float *  b, float * c)
//{
//	int i = threadIdx.x;
//	c[i] = a[i] + b[i];
//	printf("a =%f  b = %f c = %f \n", a[i], b[i], c[i]);
//}
//
//void run_code()
//{
//	int element_Count = 32;
//	size_t number_bytes = element_Count * sizeof(float);
//
//	float *h_a, *h_b, *host_ref, *gpu_ref;
//
//	h_a = (float *)malloc(number_bytes);
//	h_b = (float *)malloc(number_bytes);
//	host_ref = (float *)malloc(number_bytes);
//	gpu_ref = (float *)malloc(number_bytes);
//
//	initialize_data_s(h_a, element_Count);
//	initialize_data_s(h_b, element_Count);
//
//	memset(host_ref, 0, number_bytes);
//	memset(gpu_ref, 0, number_bytes);
//
//	float *d_a, *d_b, *d_c;
//	cudaMalloc((float **)&d_a, number_bytes);
//	cudaMalloc((float **)&d_b, number_bytes);
//	cudaMalloc((float **)&d_c, number_bytes);
//
//	cudaMemcpy(d_a, h_a, number_bytes, cudaMemcpyHostToDevice);
//	cudaMemcpy(d_b, h_b, number_bytes, cudaMemcpyHostToDevice);
//
//	dim3 block(element_Count);
//	dim3 grid(element_Count / block.x);
//
//	sum_array_gpu << <grid, block >> > (d_a, d_b, d_c);
//
//	cudaMemcpy(gpu_ref, d_c, number_bytes, cudaMemcpyDeviceToHost);
//
//	cudaFree(d_a);
//	cudaFree(d_b);
//	cudaFree(d_c);
//
//	free(h_a);
//	free(h_b);
//	free(host_ref);
//	free(gpu_ref);
//}
//
////int main()
////{
////	run_code();
////	system("pause");
////	return 0;
////}
	.text
	.file	"sum_array_2_complete.hip"
	.type	__hip_cuid_,@object             # @__hip_cuid_
	.bss
	.globl	__hip_cuid_
__hip_cuid_:
	.byte	0                               # 0x0
	.size	__hip_cuid_, 1

	.ident	"AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)"
	.section	".note.GNU-stack","",@progbits
	.addrsig
	.addrsig_sym __hip_cuid_

	.text
	.p2alignl 7, 3214868480
	.fill 96, 4, 3214868480
	.type	__hip_cuid_,@object             ; @__hip_cuid_
	.section	.bss,"aw",@nobits
	.globl	__hip_cuid_
__hip_cuid_:
	.byte	0                               ; 0x0
	.size	__hip_cuid_, 1

	.ident	"AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)"
	.section	".note.GNU-stack","",@progbits
	.addrsig
	.addrsig_sym __hip_cuid_
	.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
	.amdgpu_metadata
---
amdhsa.kernels:  []
amdhsa.target:   amdgcn-amd-amdhsa--gfx1100
amdhsa.version:
  - 1
  - 2
...

	.end_amdgpu_metadata
