/*#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2\imgproc.hpp>
#include <iostream>

#define N 1024*1024
#define FullSize 20*N

__global__ void kernel(unsigned int* a, unsigned int* b, unsigned int* c)
{
	unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
	if (tid < N)
	{
		
		c[tid] = a[tid] + b[tid];
	}
}

int main()
{
	cudaDeviceProp prop;
	int whichDevice;
	cudaGetDevice(&whichDevice);
	cudaGetDeviceProperties(&prop,whichDevice);

	if (!prop.deviceOverlap)
		printf("Device overlap not supported by nVidia device, speedup from streams not possible\n");

	unsigned int *h_a, *h_b, *h_c;
	unsigned int *d_a, *d_b, *d_c;
	
	//streamcreated and initialized
	cudaStream_t stream;
	cudaStreamCreate(&stream);

	cudaMalloc((void**)&d_a, sizeof(unsigned int)*N);
	cudaMalloc((void**)&d_b, sizeof(unsigned int)*N);
	cudaMalloc((void**)&d_c, sizeof(unsigned int)*N);

	//un-paged memory is essential for stream access
	cudaHostAlloc((void**)&h_a,sizeof(unsigned int)*FullSize, cudaHostAllocDefault);
	cudaHostAlloc((void**)&h_b, sizeof(unsigned int)*FullSize,cudaHostAllocDefault);
	cudaHostAlloc((void**)&h_c, sizeof(unsigned int)*FullSize, cudaHostAllocDefault);
	unsigned int h_count = 0;
	for (int i = 0; i < FullSize; i++)
	{
		h_a[i] = rand()%30;
		h_b[i] = rand()%30;
		h_count += (h_a[i] + h_b[i]);

	}

	float elapsedTime = 0.0f;
	//timing the GPU
	cudaEvent_t start, stop;
	cudaEventCreate(&start);
	cudaEventCreate(&stop);
	cudaEventRecord(start,0);

	//sending data in chunks in streams... the need for pinned memor is understandable now.
	for (int i = 0; i < FullSize; i += N)
	{
		cudaMemcpyAsync(d_a, h_a+i, sizeof(unsigned int)*N, cudaMemcpyHostToDevice, stream);
		cudaMemcpyAsync(d_b, h_b+i, sizeof(unsigned int)*N, cudaMemcpyHostToDevice, stream);

		kernel << <N / 256, 256, 0, stream >> >(d_a, d_b, d_c);

		cudaMemcpyAsync(h_c+i, d_c, sizeof(unsigned int)*N, cudaMemcpyDeviceToHost, stream);
	}

	cudaStreamSynchronize(stream);
	cudaStreamDestroy(stream);

	cudaEventRecord(stop, 0);
	cudaEventSynchronize(stop);
	cudaEventElapsedTime(&elapsedTime, start, stop);
	cudaEventDestroy(start);
	cudaEventDestroy(stop);

	printf("Total Time: %3.1f\n", elapsedTime);

	unsigned int h_newCount = 0;
	for (int i = 0; i < FullSize; i++)
	{
		h_newCount += h_c[i];
	}
	(h_newCount == h_count) ? printf("True\n") : printf("False\n");

	cudaFreeHost(h_a);
	cudaFreeHost(h_b);
	cudaFreeHost(h_c);

	cudaFree(d_a);
	cudaFree(d_b);
	cudaFree(d_c);
	

	return 0;
}
*/
	.file	"tmpxft_003421f7_00000000-6_singleStreamEx.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 <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2\imgproc.hpp>
#include <iostream>

#define N 1024*1024
#define FullSize 20*N

__global__ void kernel(unsigned int* a, unsigned int* b, unsigned int* c)
{
	unsigned int tid = threadIdx.x + blockIdx.x*blockDim.x;
	if (tid < N)
	{
		
		c[tid] = a[tid] + b[tid];
	}
}

int main()
{
	cudaDeviceProp prop;
	int whichDevice;
	cudaGetDevice(&whichDevice);
	cudaGetDeviceProperties(&prop,whichDevice);

	if (!prop.deviceOverlap)
		printf("Device overlap not supported by nVidia device, speedup from streams not possible\n");

	unsigned int *h_a, *h_b, *h_c;
	unsigned int *d_a, *d_b, *d_c;
	
	//streamcreated and initialized
	cudaStream_t stream;
	cudaStreamCreate(&stream);

	cudaMalloc((void**)&d_a, sizeof(unsigned int)*N);
	cudaMalloc((void**)&d_b, sizeof(unsigned int)*N);
	cudaMalloc((void**)&d_c, sizeof(unsigned int)*N);

	//un-paged memory is essential for stream access
	cudaHostAlloc((void**)&h_a,sizeof(unsigned int)*FullSize, cudaHostAllocDefault);
	cudaHostAlloc((void**)&h_b, sizeof(unsigned int)*FullSize,cudaHostAllocDefault);
	cudaHostAlloc((void**)&h_c, sizeof(unsigned int)*FullSize, cudaHostAllocDefault);
	unsigned int h_count = 0;
	for (int i = 0; i < FullSize; i++)
	{
		h_a[i] = rand()%30;
		h_b[i] = rand()%30;
		h_count += (h_a[i] + h_b[i]);

	}

	float elapsedTime = 0.0f;
	//timing the GPU
	cudaEvent_t start, stop;
	cudaEventCreate(&start);
	cudaEventCreate(&stop);
	cudaEventRecord(start,0);

	//sending data in chunks in streams... the need for pinned memor is understandable now.
	for (int i = 0; i < FullSize; i += N)
	{
		cudaMemcpyAsync(d_a, h_a+i, sizeof(unsigned int)*N, cudaMemcpyHostToDevice, stream);
		cudaMemcpyAsync(d_b, h_b+i, sizeof(unsigned int)*N, cudaMemcpyHostToDevice, stream);

		kernel << <N / 256, 256, 0, stream >> >(d_a, d_b, d_c);

		cudaMemcpyAsync(h_c+i, d_c, sizeof(unsigned int)*N, cudaMemcpyDeviceToHost, stream);
	}

	cudaStreamSynchronize(stream);
	cudaStreamDestroy(stream);

	cudaEventRecord(stop, 0);
	cudaEventSynchronize(stop);
	cudaEventElapsedTime(&elapsedTime, start, stop);
	cudaEventDestroy(start);
	cudaEventDestroy(stop);

	printf("Total Time: %3.1f\n", elapsedTime);

	unsigned int h_newCount = 0;
	for (int i = 0; i < FullSize; i++)
	{
		h_newCount += h_c[i];
	}
	(h_newCount == h_count) ? printf("True\n") : printf("False\n");

	cudaFreeHost(h_a);
	cudaFreeHost(h_b);
	cudaFreeHost(h_c);

	cudaFree(d_a);
	cudaFree(d_b);
	cudaFree(d_c);
	

	return 0;
}
*/
	.text
	.file	"singleStreamEx.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
