/*
#ifndef __CUDACC__
#define __CUDACC__
#endif

#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <conio.h>

static const int wholeArraySize = 100000000;
static const int blockSize = 16;
static const int gridSize = 4; //this number is hardware-dependent; usually #SM*2 is a good number.

__global__ void sumCommMultiBlock(const int *gArr, int arraySize, int *gOut) 
{
    int thIdx = threadIdx.x;
    int gthIdx = thIdx + blockIdx.x*blockSize;
    const int gridSize = blockSize*gridDim.x;
    int sum = 0;
    for (int i = gthIdx; i < arraySize; i += gridSize)
        sum += gArr[i];
    __shared__ int shArr[blockSize];
    shArr[thIdx] = sum;
    __syncthreads();
    for (int size = blockSize/2; size>0; size/=2) { //uniform
        if (thIdx<size)
            shArr[thIdx] += shArr[thIdx+size];
        __syncthreads();
    }
    if (thIdx == 0)
        gOut[blockIdx.x] = shArr[0];
}

__host__ int sumArray(int* arr) 
{
    int* dev_arr;
    cudaMalloc((void**)&dev_arr, wholeArraySize * sizeof(int));
    cudaMemcpy(dev_arr, arr, wholeArraySize * sizeof(int), cudaMemcpyHostToDevice);

    int out;
    int* dev_out;
    cudaMalloc((void**)&dev_out, sizeof(int)*gridSize);
    
    sumCommMultiBlock<<<gridSize, blockSize>>>(dev_arr, wholeArraySize, dev_out);
    //dev_out now holds the partial result
    sumCommMultiBlock<<<1, blockSize>>>(dev_out, gridSize, dev_out);
    //dev_out[0] now holds the final result
    cudaDeviceSynchronize();
    
    cudaMemcpy(&out, dev_out, sizeof(int), cudaMemcpyDeviceToHost);
    cudaFree(dev_arr);
    cudaFree(dev_out);
    return out;
}

// REDUCTION SUM = 2 METHODS

// CONVOLUTION 

*/
	.file	"tmpxft_0038da51_00000000-6_Lab6.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>
/*
#ifndef __CUDACC__
#define __CUDACC__
#endif

#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <conio.h>

static const int wholeArraySize = 100000000;
static const int blockSize = 16;
static const int gridSize = 4; //this number is hardware-dependent; usually #SM*2 is a good number.

__global__ void sumCommMultiBlock(const int *gArr, int arraySize, int *gOut) 
{
    int thIdx = threadIdx.x;
    int gthIdx = thIdx + blockIdx.x*blockSize;
    const int gridSize = blockSize*gridDim.x;
    int sum = 0;
    for (int i = gthIdx; i < arraySize; i += gridSize)
        sum += gArr[i];
    __shared__ int shArr[blockSize];
    shArr[thIdx] = sum;
    __syncthreads();
    for (int size = blockSize/2; size>0; size/=2) { //uniform
        if (thIdx<size)
            shArr[thIdx] += shArr[thIdx+size];
        __syncthreads();
    }
    if (thIdx == 0)
        gOut[blockIdx.x] = shArr[0];
}

__host__ int sumArray(int* arr) 
{
    int* dev_arr;
    cudaMalloc((void**)&dev_arr, wholeArraySize * sizeof(int));
    cudaMemcpy(dev_arr, arr, wholeArraySize * sizeof(int), cudaMemcpyHostToDevice);

    int out;
    int* dev_out;
    cudaMalloc((void**)&dev_out, sizeof(int)*gridSize);
    
    sumCommMultiBlock<<<gridSize, blockSize>>>(dev_arr, wholeArraySize, dev_out);
    //dev_out now holds the partial result
    sumCommMultiBlock<<<1, blockSize>>>(dev_out, gridSize, dev_out);
    //dev_out[0] now holds the final result
    cudaDeviceSynchronize();
    
    cudaMemcpy(&out, dev_out, sizeof(int), cudaMemcpyDeviceToHost);
    cudaFree(dev_arr);
    cudaFree(dev_out);
    return out;
}

// REDUCTION SUM = 2 METHODS

// CONVOLUTION 

*/
	.text
	.file	"Lab6.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
