//
// Created by saleh on 7/16/18.
//

#define DIM     128
#define SMEMDIM 4     // 128/32 = 8

/*
// COPYRIGHT "PROFESSIONAL CUDA C PROGRAMMING - CHAPTER 5 - reduceSmemUnrollShfl"
__global__ void kernel_reduce_sum_allaxes(const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    // static shared memory
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // global index
    unsigned int idx = blockIdx.x * blockDim.x * 4 + threadIdx.x;

    // unrolling 4 blocks
    float localSum = 0;

    if (idx + 3 * blockDim.x < n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        localSum = a1 + a2 + a3 + a4;
    }

    smem[tid] = localSum;
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];
    __syncthreads();
    if (blockDim.x >= 512 && tid < 256) smem[tid] += smem[tid + 256];
    __syncthreads();
    if (blockDim.x >= 256 && tid < 128) smem[tid] += smem[tid + 128];
    __syncthreads();
    if (blockDim.x >= 128 && tid < 64) smem[tid] += smem[tid + 64];
    __syncthreads();
    if (blockDim.x >= 64 && tid < 32) smem[tid] += smem[tid + 32];
    __syncthreads();

    // unrolling warp
    localSum = smem[tid];
    if (tid < 32)
    {
        localSum += __shfl_xor(localSum, 16);
        localSum += __shfl_xor(localSum, 8);
        localSum += __shfl_xor(localSum, 4);
        localSum += __shfl_xor(localSum, 2);
        localSum += __shfl_xor(localSum, 1);
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = localSum;
}

__global__ void reduceSmem (const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // boundary check
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    if (idx >= n) return;

    // convert global data pointer to the local pointer of this block
    const float *idata = g_idata + blockIdx.x * blockDim.x;

    // set to smem by each threads
    smem[tid] = idata[tid];
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];
    __syncthreads();
    if (blockDim.x >= 512 && tid < 256) smem[tid] += smem[tid + 256];
    __syncthreads();
    if (blockDim.x >= 256 && tid < 128) smem[tid] += smem[tid + 128];
    __syncthreads();
    if (blockDim.x >= 128 && tid < 64)  smem[tid] += smem[tid + 64];
    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = smem;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = smem[0];
}

// Interleaved Pair Implementation with less divergence
__global__ void reduceInterleaved (const int * __restrict__ g_idata, int * __restrict__ g_odata, unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    const int *idata = g_idata + blockIdx.x * blockDim.x;

    // boundary check
    if(idx >= n) return;

    // in-place reduction in global memory
    for (int stride = blockDim.x / 2; stride > 0; stride >>= 1)
    {
        if (tid < stride)
        {
            idata[tid] += idata[tid + stride];
        }

        __syncthreads();
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

// Interleaved Pair Implementation with less divergence
__global__ void reduceInterleavedFloat (const float * __restrict__ g_idata, float * __restrict__ g_odata,
                                        unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    float *idata = g_idata + blockIdx.x * blockDim.x;

    // boundary check
    if(idx >= n) return;

    // in-place reduction in global memory
    for (int stride = blockDim.x / 2; stride > 0; stride >>= 1)
    {
        if (tid < stride)
        {
            idata[tid] += idata[tid + stride];
        }

        __syncthreads();
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

__global__ void reduceCompleteUnrollWarps8 (const int * __restrict__ g_idata, int * __restrict__ g_odata,
                                            unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x * 8 + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    int *idata = g_idata + blockIdx.x * blockDim.x * 8;

    // unrolling 8
    if (idx + 7 * blockDim.x < n)
    {
        int a1 = g_idata[idx];
        int a2 = g_idata[idx + blockDim.x];
        int a3 = g_idata[idx + 2 * blockDim.x];
        int a4 = g_idata[idx + 3 * blockDim.x];
        int b1 = g_idata[idx + 4 * blockDim.x];
        int b2 = g_idata[idx + 5 * blockDim.x];
        int b3 = g_idata[idx + 6 * blockDim.x];
        int b4 = g_idata[idx + 7 * blockDim.x];
        g_idata[idx] = a1 + a2 + a3 + a4 + b1 + b2 + b3 + b4;
    }

    __syncthreads();

    // in-place reduction and complete unroll
    if (blockDim.x >= 1024 && tid < 512) idata[tid] += idata[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256) idata[tid] += idata[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128) idata[tid] += idata[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64) idata[tid] += idata[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile int *vsmem = idata;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

__global__ void reduceCompleteUnrollWarps8Float (const float * __restrict__ g_idata, float * __restrict__ g_odata,
                                                 unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x * 8 + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    float *idata = g_idata + blockIdx.x * blockDim.x * 8;

    // unrolling 8
    if (idx + 7 * blockDim.x < n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        float b1 = g_idata[idx + 4 * blockDim.x];
        float b2 = g_idata[idx + 5 * blockDim.x];
        float b3 = g_idata[idx + 6 * blockDim.x];
        float b4 = g_idata[idx + 7 * blockDim.x];
        g_idata[idx] = a1 + a2 + a3 + a4 + b1 + b2 + b3 + b4;
    }

    __syncthreads();

    // in-place reduction and complete unroll
    if (blockDim.x >= 1024 && tid < 512) idata[tid] += idata[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256) idata[tid] += idata[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128) idata[tid] += idata[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64) idata[tid] += idata[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = idata;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}
*/

// CHAPTER 05 - reduceInteger.cu PROFESSIONAL CUDA C PROGRAMMING
__global__ void kernel_reduceSmemUnroll(const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    // static shared memory
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // global index, 4 blocks of input data processed at a time
    unsigned int idx = blockIdx.x * blockDim.x * 4 + threadIdx.x;

    // unrolling 4 blocks
    float tmpSum = 0;

    // boundary check
    if (idx + 4 * blockDim.x <= n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        tmpSum = a1 + a2 + a3 + a4;
    }

    smem[tid] = tmpSum;
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256)  smem[tid] += smem[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128)  smem[tid] += smem[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64)   smem[tid] += smem[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = smem;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = smem[0];
}

// This is the wrapper function that will be used in cpp files!
void reduce_sum_all_axes(dim3 grid, dim3 block, float *g_idata, float *g_odata, unsigned int n){
    //reduceCompleteUnrollWarps8Float<<<grid.x,block>>>(g_idata, g_odata, n);
    kernel_reduceSmemUnroll<<<grid.x,block>>>(g_idata, g_odata, n);
}


	.file	"tmpxft_00300390_00000000-6_reduce_sum.cudafe1.cpp"
	.text
#APP

#NO_APP
	.type	_ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2011:
	.cfi_startproc
	endbr64
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	jmp	__cudaUnregisterFatBinary@PLT
	.cfi_endproc
.LFE2011:
	.size	_ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv
	.globl	_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj
	.type	_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj, @function
_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj:
.LFB2033:
	.cfi_startproc
	endbr64
	subq	$136, %rsp
	.cfi_def_cfa_offset 144
	movl	%edx, 12(%rsp)
	leaq	40(%rsp), %rcx
	leaq	32(%rsp), %rdx
	movq	%fs:40, %rax
	movq	%rax, 120(%rsp)
	xorl	%eax, %eax
	leaq	16(%rsp), %rax
	movq	%rdi, 16(%rsp)
	leaq	48(%rsp), %rdi
	movq	%rax, 96(%rsp)
	leaq	24(%rsp), %rax
	movq	%rax, 104(%rsp)
	leaq	12(%rsp), %rax
	movq	%rsi, 24(%rsp)
	leaq	60(%rsp), %rsi
	movq	%rax, 112(%rsp)
	movabsq	$4294967297, %rax
	movq	%rax, 48(%rsp)
	movl	$1, 56(%rsp)
	movq	%rax, 60(%rsp)
	movl	$1, 68(%rsp)
	call	__cudaPopCallConfiguration@PLT
	testl	%eax, %eax
	jne	.L2
	pushq	40(%rsp)
	.cfi_def_cfa_offset 152
	leaq	_Z23kernel_reduceSmemUnrollPKfPfj(%rip), %rdi
	pushq	40(%rsp)
	.cfi_def_cfa_offset 160
	movq	76(%rsp), %rcx
	movl	84(%rsp), %r8d
	movq	64(%rsp), %rsi
	movl	72(%rsp), %edx
	leaq	112(%rsp), %r9
	call	cudaLaunchKernel@PLT
	popq	%rax
	.cfi_def_cfa_offset 152
	popq	%rdx
	.cfi_def_cfa_offset 144
.L2:
	movq	120(%rsp), %rax
	subq	%fs:40, %rax
	je	.L4
	call	__stack_chk_fail@PLT
.L4:
	addq	$136, %rsp
	.cfi_def_cfa_offset 8
	ret
	.cfi_endproc
.LFE2033:
	.size	_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj, .-_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj
	.globl	_Z23kernel_reduceSmemUnrollPKfPfj
	.type	_Z23kernel_reduceSmemUnrollPKfPfj, @function
_Z23kernel_reduceSmemUnrollPKfPfj:
.LFB2034:
	.cfi_startproc
	endbr64
	jmp	_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj
	.cfi_endproc
.LFE2034:
	.size	_Z23kernel_reduceSmemUnrollPKfPfj, .-_Z23kernel_reduceSmemUnrollPKfPfj
	.globl	_Z19reduce_sum_all_axes4dim3S_PfS0_j
	.type	_Z19reduce_sum_all_axes4dim3S_PfS0_j, @function
_Z19reduce_sum_all_axes4dim3S_PfS0_j:
.LFB2008:
	.cfi_startproc
	endbr64
	movabsq	$4294967297, %rax
	pushq	%r12
	.cfi_def_cfa_offset 16
	.cfi_offset 12, -16
	movl	%ecx, %ecx
	pushq	%rbp
	.cfi_def_cfa_offset 24
	.cfi_offset 6, -24
	movq	%r9, %rbp
	xorl	%r9d, %r9d
	pushq	%rbx
	.cfi_def_cfa_offset 32
	.cfi_offset 3, -32
	movq	%r8, %rbx
	xorl	%r8d, %r8d
	subq	$48, %rsp
	.cfi_def_cfa_offset 80
	movq	%rax, 40(%rsp)
	movl	44(%rsp), %esi
	movl	%edi, 36(%rsp)
	movq	36(%rsp), %rdi
	movl	80(%rsp), %r12d
	call	__cudaPushCallConfiguration@PLT
	testl	%eax, %eax
	jne	.L8
	addq	$48, %rsp
	.cfi_remember_state
	.cfi_def_cfa_offset 32
	movl	%r12d, %edx
	movq	%rbp, %rsi
	movq	%rbx, %rdi
	popq	%rbx
	.cfi_def_cfa_offset 24
	popq	%rbp
	.cfi_def_cfa_offset 16
	popq	%r12
	.cfi_def_cfa_offset 8
	jmp	_Z47__device_stub__Z23kernel_reduceSmemUnrollPKfPfjPKfPfj
.L8:
	.cfi_restore_state
	addq	$48, %rsp
	.cfi_def_cfa_offset 32
	popq	%rbx
	.cfi_def_cfa_offset 24
	popq	%rbp
	.cfi_def_cfa_offset 16
	popq	%r12
	.cfi_def_cfa_offset 8
	ret
	.cfi_endproc
.LFE2008:
	.size	_Z19reduce_sum_all_axes4dim3S_PfS0_j, .-_Z19reduce_sum_all_axes4dim3S_PfS0_j
	.section	.rodata.str1.1,"aMS",@progbits,1
.LC0:
	.string	"_Z23kernel_reduceSmemUnrollPKfPfj"
	.section	.text.startup,"ax",@progbits
	.type	_ZL24__sti____cudaRegisterAllv, @function
_ZL24__sti____cudaRegisterAllv:
.LFB2036:
	.cfi_startproc
	endbr64
	pushq	%rax
	.cfi_def_cfa_offset 16
	leaq	_ZL15__fatDeviceText(%rip), %rdi
	call	__cudaRegisterFatBinary@PLT
	pushq	$0
	.cfi_def_cfa_offset 24
	xorl	%r9d, %r9d
	orl	$-1, %r8d
	pushq	$0
	.cfi_def_cfa_offset 32
	leaq	.LC0(%rip), %rdx
	movq	%rax, %rdi
	leaq	_Z23kernel_reduceSmemUnrollPKfPfj(%rip), %rsi
	pushq	$0
	.cfi_def_cfa_offset 40
	movq	%rdx, %rcx
	pushq	$0
	.cfi_def_cfa_offset 48
	movq	%rax, _ZL20__cudaFatCubinHandle(%rip)
	call	__cudaRegisterFunction@PLT
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	addq	$32, %rsp
	.cfi_def_cfa_offset 16
	call	__cudaRegisterFatBinaryEnd@PLT
	leaq	_ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi
	popq	%rdx
	.cfi_def_cfa_offset 8
	jmp	atexit@PLT
	.cfi_endproc
.LFE2036:
	.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>
//
// Created by saleh on 7/16/18.
//

#define DIM     128
#define SMEMDIM 4     // 128/32 = 8

/*
// COPYRIGHT "PROFESSIONAL CUDA C PROGRAMMING - CHAPTER 5 - reduceSmemUnrollShfl"
__global__ void kernel_reduce_sum_allaxes(const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    // static shared memory
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // global index
    unsigned int idx = blockIdx.x * blockDim.x * 4 + threadIdx.x;

    // unrolling 4 blocks
    float localSum = 0;

    if (idx + 3 * blockDim.x < n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        localSum = a1 + a2 + a3 + a4;
    }

    smem[tid] = localSum;
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];
    __syncthreads();
    if (blockDim.x >= 512 && tid < 256) smem[tid] += smem[tid + 256];
    __syncthreads();
    if (blockDim.x >= 256 && tid < 128) smem[tid] += smem[tid + 128];
    __syncthreads();
    if (blockDim.x >= 128 && tid < 64) smem[tid] += smem[tid + 64];
    __syncthreads();
    if (blockDim.x >= 64 && tid < 32) smem[tid] += smem[tid + 32];
    __syncthreads();

    // unrolling warp
    localSum = smem[tid];
    if (tid < 32)
    {
        localSum += __shfl_xor(localSum, 16);
        localSum += __shfl_xor(localSum, 8);
        localSum += __shfl_xor(localSum, 4);
        localSum += __shfl_xor(localSum, 2);
        localSum += __shfl_xor(localSum, 1);
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = localSum;
}

__global__ void reduceSmem (const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // boundary check
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    if (idx >= n) return;

    // convert global data pointer to the local pointer of this block
    const float *idata = g_idata + blockIdx.x * blockDim.x;

    // set to smem by each threads
    smem[tid] = idata[tid];
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];
    __syncthreads();
    if (blockDim.x >= 512 && tid < 256) smem[tid] += smem[tid + 256];
    __syncthreads();
    if (blockDim.x >= 256 && tid < 128) smem[tid] += smem[tid + 128];
    __syncthreads();
    if (blockDim.x >= 128 && tid < 64)  smem[tid] += smem[tid + 64];
    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = smem;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = smem[0];
}

// Interleaved Pair Implementation with less divergence
__global__ void reduceInterleaved (const int * __restrict__ g_idata, int * __restrict__ g_odata, unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    const int *idata = g_idata + blockIdx.x * blockDim.x;

    // boundary check
    if(idx >= n) return;

    // in-place reduction in global memory
    for (int stride = blockDim.x / 2; stride > 0; stride >>= 1)
    {
        if (tid < stride)
        {
            idata[tid] += idata[tid + stride];
        }

        __syncthreads();
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

// Interleaved Pair Implementation with less divergence
__global__ void reduceInterleavedFloat (const float * __restrict__ g_idata, float * __restrict__ g_odata,
                                        unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    float *idata = g_idata + blockIdx.x * blockDim.x;

    // boundary check
    if(idx >= n) return;

    // in-place reduction in global memory
    for (int stride = blockDim.x / 2; stride > 0; stride >>= 1)
    {
        if (tid < stride)
        {
            idata[tid] += idata[tid + stride];
        }

        __syncthreads();
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

__global__ void reduceCompleteUnrollWarps8 (const int * __restrict__ g_idata, int * __restrict__ g_odata,
                                            unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x * 8 + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    int *idata = g_idata + blockIdx.x * blockDim.x * 8;

    // unrolling 8
    if (idx + 7 * blockDim.x < n)
    {
        int a1 = g_idata[idx];
        int a2 = g_idata[idx + blockDim.x];
        int a3 = g_idata[idx + 2 * blockDim.x];
        int a4 = g_idata[idx + 3 * blockDim.x];
        int b1 = g_idata[idx + 4 * blockDim.x];
        int b2 = g_idata[idx + 5 * blockDim.x];
        int b3 = g_idata[idx + 6 * blockDim.x];
        int b4 = g_idata[idx + 7 * blockDim.x];
        g_idata[idx] = a1 + a2 + a3 + a4 + b1 + b2 + b3 + b4;
    }

    __syncthreads();

    // in-place reduction and complete unroll
    if (blockDim.x >= 1024 && tid < 512) idata[tid] += idata[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256) idata[tid] += idata[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128) idata[tid] += idata[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64) idata[tid] += idata[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile int *vsmem = idata;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}

__global__ void reduceCompleteUnrollWarps8Float (const float * __restrict__ g_idata, float * __restrict__ g_odata,
                                                 unsigned int n)
{
    // set thread ID
    unsigned int tid = threadIdx.x;
    unsigned int idx = blockIdx.x * blockDim.x * 8 + threadIdx.x;

    // convert global data pointer to the local pointer of this block
    float *idata = g_idata + blockIdx.x * blockDim.x * 8;

    // unrolling 8
    if (idx + 7 * blockDim.x < n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        float b1 = g_idata[idx + 4 * blockDim.x];
        float b2 = g_idata[idx + 5 * blockDim.x];
        float b3 = g_idata[idx + 6 * blockDim.x];
        float b4 = g_idata[idx + 7 * blockDim.x];
        g_idata[idx] = a1 + a2 + a3 + a4 + b1 + b2 + b3 + b4;
    }

    __syncthreads();

    // in-place reduction and complete unroll
    if (blockDim.x >= 1024 && tid < 512) idata[tid] += idata[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256) idata[tid] += idata[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128) idata[tid] += idata[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64) idata[tid] += idata[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = idata;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = idata[0];
}
*/

// CHAPTER 05 - reduceInteger.cu PROFESSIONAL CUDA C PROGRAMMING
__global__ void kernel_reduceSmemUnroll(const float * __restrict__ g_idata, float * __restrict__ g_odata, unsigned int n)
{
    // static shared memory
    __shared__ float smem[DIM];

    // set thread ID
    unsigned int tid = threadIdx.x;

    // global index, 4 blocks of input data processed at a time
    unsigned int idx = blockIdx.x * blockDim.x * 4 + threadIdx.x;

    // unrolling 4 blocks
    float tmpSum = 0;

    // boundary check
    if (idx + 4 * blockDim.x <= n)
    {
        float a1 = g_idata[idx];
        float a2 = g_idata[idx + blockDim.x];
        float a3 = g_idata[idx + 2 * blockDim.x];
        float a4 = g_idata[idx + 3 * blockDim.x];
        tmpSum = a1 + a2 + a3 + a4;
    }

    smem[tid] = tmpSum;
    __syncthreads();

    // in-place reduction in shared memory
    if (blockDim.x >= 1024 && tid < 512) smem[tid] += smem[tid + 512];

    __syncthreads();

    if (blockDim.x >= 512 && tid < 256)  smem[tid] += smem[tid + 256];

    __syncthreads();

    if (blockDim.x >= 256 && tid < 128)  smem[tid] += smem[tid + 128];

    __syncthreads();

    if (blockDim.x >= 128 && tid < 64)   smem[tid] += smem[tid + 64];

    __syncthreads();

    // unrolling warp
    if (tid < 32)
    {
        volatile float *vsmem = smem;
        vsmem[tid] += vsmem[tid + 32];
        vsmem[tid] += vsmem[tid + 16];
        vsmem[tid] += vsmem[tid +  8];
        vsmem[tid] += vsmem[tid +  4];
        vsmem[tid] += vsmem[tid +  2];
        vsmem[tid] += vsmem[tid +  1];
    }

    // write result for this block to global mem
    if (tid == 0) g_odata[blockIdx.x] = smem[0];
}

// This is the wrapper function that will be used in cpp files!
void reduce_sum_all_axes(dim3 grid, dim3 block, float *g_idata, float *g_odata, unsigned int n){
    //reduceCompleteUnrollWarps8Float<<<grid.x,block>>>(g_idata, g_odata, n);
    kernel_reduceSmemUnroll<<<grid.x,block>>>(g_idata, g_odata, n);
}


	.text
	.file	"reduce_sum.hip"
	.globl	_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj # -- Begin function _Z38__device_stub__kernel_reduceSmemUnrollPKfPfj
	.type	_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj,@function
_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj: # @_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj
	.cfi_startproc
# %bb.0:
	pushq	%r15
	.cfi_def_cfa_offset 16
	pushq	%r14
	.cfi_def_cfa_offset 24
	pushq	%r13
	.cfi_def_cfa_offset 32
	pushq	%r12
	.cfi_def_cfa_offset 40
	pushq	%rbx
	.cfi_def_cfa_offset 48
	subq	$112, %rsp
	.cfi_def_cfa_offset 160
	.cfi_offset %rbx, -48
	.cfi_offset %r12, -40
	.cfi_offset %r13, -32
	.cfi_offset %r14, -24
	.cfi_offset %r15, -16
	leaq	40(%rsp), %rax
	movq	%rdi, (%rax)
	leaq	32(%rsp), %rcx
	movq	%rsi, (%rcx)
	leaq	12(%rsp), %rsi
	movl	%edx, (%rsi)
	leaq	80(%rsp), %rbx
	movq	%rax, (%rbx)
	movq	%rcx, 8(%rbx)
	movq	%rsi, 16(%rbx)
	leaq	64(%rsp), %r14
	leaq	48(%rsp), %r15
	leaq	24(%rsp), %r12
	leaq	16(%rsp), %r13
	movq	%r14, %rdi
	movq	%r15, %rsi
	movq	%r12, %rdx
	movq	%r13, %rcx
	callq	__hipPopCallConfiguration
	movq	(%r14), %rsi
	movl	8(%r14), %edx
	movq	(%r15), %rcx
	movl	8(%r15), %r8d
	movl	$_Z23kernel_reduceSmemUnrollPKfPfj, %edi
	movq	%rbx, %r9
	pushq	(%r13)
	.cfi_adjust_cfa_offset 8
	pushq	(%r12)
	.cfi_adjust_cfa_offset 8
	callq	hipLaunchKernel
	addq	$128, %rsp
	.cfi_adjust_cfa_offset -128
	popq	%rbx
	.cfi_def_cfa_offset 40
	popq	%r12
	.cfi_def_cfa_offset 32
	popq	%r13
	.cfi_def_cfa_offset 24
	popq	%r14
	.cfi_def_cfa_offset 16
	popq	%r15
	.cfi_def_cfa_offset 8
	retq
.Lfunc_end0:
	.size	_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj, .Lfunc_end0-_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj
	.cfi_endproc
                                        # -- End function
	.globl	_Z19reduce_sum_all_axes4dim3S_PfS0_j # -- Begin function _Z19reduce_sum_all_axes4dim3S_PfS0_j
	.type	_Z19reduce_sum_all_axes4dim3S_PfS0_j,@function
_Z19reduce_sum_all_axes4dim3S_PfS0_j:   # @_Z19reduce_sum_all_axes4dim3S_PfS0_j
	.cfi_startproc
# %bb.0:
	pushq	%rbp
	.cfi_def_cfa_offset 16
	pushq	%r14
	.cfi_def_cfa_offset 24
	pushq	%rbx
	.cfi_def_cfa_offset 32
	.cfi_offset %rbx, -32
	.cfi_offset %r14, -24
	.cfi_offset %rbp, -16
	movq	%r9, %rbx
	movq	%r8, %r14
	movl	32(%rsp), %ebp
	movl	%edi, %edi
	btsq	$32, %rdi
	movl	$1, %esi
	xorl	%r8d, %r8d
	xorl	%r9d, %r9d
	callq	__hipPushCallConfiguration
	testl	%eax, %eax
	je	.LBB1_2
# %bb.1:
	popq	%rbx
	.cfi_def_cfa_offset 24
	popq	%r14
	.cfi_def_cfa_offset 16
	popq	%rbp
	.cfi_def_cfa_offset 8
	retq
.LBB1_2:
	.cfi_def_cfa_offset 32
	movq	%r14, %rdi
	movq	%rbx, %rsi
	movl	%ebp, %edx
	popq	%rbx
	.cfi_def_cfa_offset 24
	popq	%r14
	.cfi_def_cfa_offset 16
	popq	%rbp
	.cfi_def_cfa_offset 8
	jmp	_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj # TAILCALL
.Lfunc_end1:
	.size	_Z19reduce_sum_all_axes4dim3S_PfS0_j, .Lfunc_end1-_Z19reduce_sum_all_axes4dim3S_PfS0_j
	.cfi_endproc
                                        # -- End function
	.p2align	4, 0x90                         # -- Begin function __hip_module_ctor
	.type	__hip_module_ctor,@function
__hip_module_ctor:                      # @__hip_module_ctor
	.cfi_startproc
# %bb.0:
	subq	$40, %rsp
	.cfi_def_cfa_offset 48
	movq	__hip_gpubin_handle(%rip), %rdi
	testq	%rdi, %rdi
	jne	.LBB2_2
# %bb.1:
	movl	$__hip_fatbin_wrapper, %edi
	callq	__hipRegisterFatBinary
	movq	%rax, %rdi
	movq	%rax, __hip_gpubin_handle(%rip)
.LBB2_2:
	xorps	%xmm0, %xmm0
	movups	%xmm0, 16(%rsp)
	movups	%xmm0, (%rsp)
	movl	$_Z23kernel_reduceSmemUnrollPKfPfj, %esi
	movl	$.L__unnamed_1, %edx
	movl	$.L__unnamed_1, %ecx
	movl	$-1, %r8d
	xorl	%r9d, %r9d
	callq	__hipRegisterFunction
	movl	$__hip_module_dtor, %edi
	addq	$40, %rsp
	.cfi_def_cfa_offset 8
	jmp	atexit                          # TAILCALL
.Lfunc_end2:
	.size	__hip_module_ctor, .Lfunc_end2-__hip_module_ctor
	.cfi_endproc
                                        # -- End function
	.p2align	4, 0x90                         # -- Begin function __hip_module_dtor
	.type	__hip_module_dtor,@function
__hip_module_dtor:                      # @__hip_module_dtor
	.cfi_startproc
# %bb.0:
	movq	__hip_gpubin_handle(%rip), %rdi
	testq	%rdi, %rdi
	je	.LBB3_2
# %bb.1:
	pushq	%rax
	.cfi_def_cfa_offset 16
	callq	__hipUnregisterFatBinary
	movq	$0, __hip_gpubin_handle(%rip)
	addq	$8, %rsp
	.cfi_def_cfa_offset 8
.LBB3_2:
	retq
.Lfunc_end3:
	.size	__hip_module_dtor, .Lfunc_end3-__hip_module_dtor
	.cfi_endproc
                                        # -- End function
	.type	_Z23kernel_reduceSmemUnrollPKfPfj,@object # @_Z23kernel_reduceSmemUnrollPKfPfj
	.section	.rodata,"a",@progbits
	.globl	_Z23kernel_reduceSmemUnrollPKfPfj
	.p2align	3, 0x0
_Z23kernel_reduceSmemUnrollPKfPfj:
	.quad	_Z38__device_stub__kernel_reduceSmemUnrollPKfPfj
	.size	_Z23kernel_reduceSmemUnrollPKfPfj, 8

	.type	.L__unnamed_1,@object           # @0
	.section	.rodata.str1.1,"aMS",@progbits,1
.L__unnamed_1:
	.asciz	"_Z23kernel_reduceSmemUnrollPKfPfj"
	.size	.L__unnamed_1, 34

	.type	__hip_fatbin_wrapper,@object    # @__hip_fatbin_wrapper
	.section	.hipFatBinSegment,"a",@progbits
	.p2align	3, 0x0
__hip_fatbin_wrapper:
	.long	1212764230                      # 0x48495046
	.long	1                               # 0x1
	.quad	__hip_fatbin
	.quad	0
	.size	__hip_fatbin_wrapper, 24

	.type	__hip_gpubin_handle,@object     # @__hip_gpubin_handle
	.local	__hip_gpubin_handle
	.comm	__hip_gpubin_handle,8,8
	.section	.init_array,"aw",@init_array
	.p2align	3, 0x0
	.quad	__hip_module_ctor
	.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 _Z38__device_stub__kernel_reduceSmemUnrollPKfPfj
	.addrsig_sym __hip_module_ctor
	.addrsig_sym __hip_module_dtor
	.addrsig_sym _Z23kernel_reduceSmemUnrollPKfPfj
	.addrsig_sym __hip_fatbin
	.addrsig_sym __hip_fatbin_wrapper
	.addrsig_sym __hip_cuid_

	.text
	.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
	.protected	_Z23kernel_reduceSmemUnrollPKfPfj ; -- Begin function _Z23kernel_reduceSmemUnrollPKfPfj
	.globl	_Z23kernel_reduceSmemUnrollPKfPfj
	.p2align	8
	.type	_Z23kernel_reduceSmemUnrollPKfPfj,@function
_Z23kernel_reduceSmemUnrollPKfPfj:      ; @_Z23kernel_reduceSmemUnrollPKfPfj
; %bb.0:
	s_clause 0x1
	s_load_b32 s2, s[0:1], 0x24
	s_load_b32 s3, s[0:1], 0x10
	v_mov_b32_e32 v2, 0
	s_mov_b32 s4, s15
	s_waitcnt lgkmcnt(0)
	s_and_b32 s2, s2, 0xffff
	s_delay_alu instid0(SALU_CYCLE_1) | instskip(NEXT) | instid1(SALU_CYCLE_1)
	s_mul_i32 s5, s15, s2
	s_add_i32 s6, s5, s2
	s_delay_alu instid0(SALU_CYCLE_1) | instskip(NEXT) | instid1(VALU_DEP_1)
	v_lshl_add_u32 v1, s6, 2, v0
	v_cmp_ge_u32_e32 vcc_lo, s3, v1
	s_and_saveexec_b32 s3, vcc_lo
	s_cbranch_execz .LBB0_2
; %bb.1:
	s_load_b64 s[6:7], s[0:1], 0x0
	v_lshl_add_u32 v1, s5, 2, v0
	v_mov_b32_e32 v2, 0
	s_delay_alu instid0(VALU_DEP_1) | instskip(SKIP_1) | instid1(VALU_DEP_1)
	v_lshlrev_b64 v[3:4], 2, v[1:2]
	v_add_nc_u32_e32 v1, s2, v1
	v_lshlrev_b64 v[5:6], 2, v[1:2]
	v_add_nc_u32_e32 v1, s2, v1
	s_delay_alu instid0(VALU_DEP_1)
	v_lshlrev_b64 v[7:8], 2, v[1:2]
	s_waitcnt lgkmcnt(0)
	v_add_co_u32 v3, vcc_lo, s6, v3
	v_add_nc_u32_e32 v1, s2, v1
	v_add_co_ci_u32_e32 v4, vcc_lo, s7, v4, vcc_lo
	v_add_co_u32 v5, vcc_lo, s6, v5
	v_add_co_ci_u32_e32 v6, vcc_lo, s7, v6, vcc_lo
	s_delay_alu instid0(VALU_DEP_4)
	v_lshlrev_b64 v[1:2], 2, v[1:2]
	s_clause 0x1
	global_load_b32 v9, v[3:4], off
	global_load_b32 v5, v[5:6], off
	v_add_co_u32 v3, vcc_lo, s6, v7
	v_add_co_ci_u32_e32 v4, vcc_lo, s7, v8, vcc_lo
	v_add_co_u32 v1, vcc_lo, s6, v1
	v_add_co_ci_u32_e32 v2, vcc_lo, s7, v2, vcc_lo
	s_clause 0x1
	global_load_b32 v3, v[3:4], off
	global_load_b32 v1, v[1:2], off
	s_waitcnt vmcnt(2)
	v_add_f32_e32 v2, v9, v5
	s_waitcnt vmcnt(1)
	s_delay_alu instid0(VALU_DEP_1) | instskip(SKIP_1) | instid1(VALU_DEP_1)
	v_add_f32_e32 v2, v2, v3
	s_waitcnt vmcnt(0)
	v_add_f32_e32 v2, v2, v1
.LBB0_2:
	s_or_b32 exec_lo, exec_lo, s3
	v_cmp_gt_u32_e32 vcc_lo, 0x200, v0
	s_cmpk_gt_u32 s2, 0x3ff
	v_lshlrev_b32_e32 v1, 2, v0
	s_cselect_b32 s3, -1, 0
	s_delay_alu instid0(SALU_CYCLE_1)
	s_and_b32 s5, vcc_lo, s3
	ds_store_b32 v1, v2
	s_waitcnt lgkmcnt(0)
	s_barrier
	buffer_gl0_inv
	s_and_saveexec_b32 s3, s5
	s_cbranch_execz .LBB0_4
; %bb.3:
	ds_load_2addr_stride64_b32 v[2:3], v1 offset1:8
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v2, v3, v2
	ds_store_b32 v1, v2
.LBB0_4:
	s_or_b32 exec_lo, exec_lo, s3
	v_cmp_gt_u32_e32 vcc_lo, 0x100, v0
	s_cmpk_gt_u32 s2, 0x1ff
	s_waitcnt lgkmcnt(0)
	s_cselect_b32 s3, -1, 0
	s_barrier
	s_and_b32 s5, vcc_lo, s3
	buffer_gl0_inv
	s_and_saveexec_b32 s3, s5
	s_cbranch_execz .LBB0_6
; %bb.5:
	ds_load_2addr_stride64_b32 v[2:3], v1 offset1:4
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v2, v3, v2
	ds_store_b32 v1, v2
.LBB0_6:
	s_or_b32 exec_lo, exec_lo, s3
	v_cmp_gt_u32_e32 vcc_lo, 0x80, v0
	s_cmpk_gt_u32 s2, 0xff
	s_waitcnt lgkmcnt(0)
	s_cselect_b32 s3, -1, 0
	s_barrier
	s_and_b32 s5, vcc_lo, s3
	buffer_gl0_inv
	s_and_saveexec_b32 s3, s5
	s_cbranch_execz .LBB0_8
; %bb.7:
	ds_load_2addr_stride64_b32 v[2:3], v1 offset1:2
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v2, v3, v2
	ds_store_b32 v1, v2
.LBB0_8:
	s_or_b32 exec_lo, exec_lo, s3
	v_cmp_gt_u32_e32 vcc_lo, 64, v0
	s_cmpk_gt_u32 s2, 0x7f
	s_waitcnt lgkmcnt(0)
	s_cselect_b32 s2, -1, 0
	s_barrier
	s_and_b32 s3, vcc_lo, s2
	buffer_gl0_inv
	s_and_saveexec_b32 s2, s3
	s_cbranch_execz .LBB0_10
; %bb.9:
	ds_load_2addr_stride64_b32 v[2:3], v1 offset1:1
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v2, v3, v2
	ds_store_b32 v1, v2
.LBB0_10:
	s_or_b32 exec_lo, exec_lo, s2
	s_delay_alu instid0(SALU_CYCLE_1)
	s_mov_b32 s3, exec_lo
	s_waitcnt lgkmcnt(0)
	s_barrier
	buffer_gl0_inv
	v_cmpx_gt_u32_e32 32, v0
	s_cbranch_execz .LBB0_12
; %bb.11:
	v_lshl_add_u32 v2, v0, 2, 0x80
	v_cmp_ne_u32_e64 s2, -1, v1
	s_mov_b64 s[6:7], src_shared_base
	s_delay_alu instid0(VALU_DEP_2) | instskip(NEXT) | instid1(VALU_DEP_2)
	v_cmp_ne_u32_e32 vcc_lo, -1, v2
	v_cndmask_b32_e64 v3, 0, s7, s2
	v_cndmask_b32_e32 v4, 0, v2, vcc_lo
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	v_cndmask_b32_e64 v2, 0, v1, s2
	flat_load_b32 v5, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v6, v[2:3] glc dlc
	s_waitcnt vmcnt(0)
	v_add_nc_u32_e32 v4, 64, v1
	s_delay_alu instid0(VALU_DEP_1)
	v_cmp_ne_u32_e32 vcc_lo, -1, v4
	v_cndmask_b32_e32 v4, 0, v4, vcc_lo
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v6, v5, v6
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	flat_store_b32 v[2:3], v6 dlc
	s_waitcnt_vscnt null, 0x0
	flat_load_b32 v5, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v6, v[2:3] glc dlc
	s_waitcnt vmcnt(0)
	v_add_nc_u32_e32 v4, 32, v1
	s_delay_alu instid0(VALU_DEP_1)
	v_cmp_ne_u32_e32 vcc_lo, -1, v4
	v_cndmask_b32_e32 v4, 0, v4, vcc_lo
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v6, v5, v6
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	flat_store_b32 v[2:3], v6 dlc
	s_waitcnt_vscnt null, 0x0
	flat_load_b32 v5, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v6, v[2:3] glc dlc
	s_waitcnt vmcnt(0)
	v_add_nc_u32_e32 v4, 16, v1
	s_delay_alu instid0(VALU_DEP_1)
	v_cmp_ne_u32_e32 vcc_lo, -1, v4
	v_cndmask_b32_e32 v4, 0, v4, vcc_lo
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v6, v5, v6
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	flat_store_b32 v[2:3], v6 dlc
	s_waitcnt_vscnt null, 0x0
	flat_load_b32 v5, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v6, v[2:3] glc dlc
	s_waitcnt vmcnt(0)
	v_add_nc_u32_e32 v4, 8, v1
	v_add_nc_u32_e32 v1, 4, v1
	s_delay_alu instid0(VALU_DEP_2)
	v_cmp_ne_u32_e32 vcc_lo, -1, v4
	v_cndmask_b32_e32 v4, 0, v4, vcc_lo
	s_waitcnt lgkmcnt(0)
	v_add_f32_e32 v6, v5, v6
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	v_cmp_ne_u32_e32 vcc_lo, -1, v1
	flat_store_b32 v[2:3], v6 dlc
	s_waitcnt_vscnt null, 0x0
	flat_load_b32 v5, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v6, v[2:3] glc dlc
	s_waitcnt vmcnt(0) lgkmcnt(0)
	v_dual_cndmask_b32 v4, 0, v1 :: v_dual_add_f32 v1, v5, v6
	v_cndmask_b32_e64 v5, 0, s7, vcc_lo
	flat_store_b32 v[2:3], v1 dlc
	s_waitcnt_vscnt null, 0x0
	flat_load_b32 v1, v[4:5] glc dlc
	s_waitcnt vmcnt(0)
	flat_load_b32 v4, v[2:3] glc dlc
	s_waitcnt vmcnt(0) lgkmcnt(0)
	v_add_f32_e32 v1, v1, v4
	flat_store_b32 v[2:3], v1 dlc
	s_waitcnt_vscnt null, 0x0
.LBB0_12:
	s_or_b32 exec_lo, exec_lo, s3
	s_mov_b32 s5, 0
	s_mov_b32 s2, exec_lo
	v_cmpx_eq_u32_e32 0, v0
	s_cbranch_execz .LBB0_14
; %bb.13:
	v_mov_b32_e32 v0, 0
	s_load_b64 s[0:1], s[0:1], 0x8
	s_lshl_b64 s[2:3], s[4:5], 2
	ds_load_b32 v1, v0
	s_waitcnt lgkmcnt(0)
	s_add_u32 s0, s0, s2
	s_addc_u32 s1, s1, s3
	global_store_b32 v0, v1, s[0:1]
.LBB0_14:
	s_endpgm
	.section	.rodata,"a",@progbits
	.p2align	6, 0x0
	.amdhsa_kernel _Z23kernel_reduceSmemUnrollPKfPfj
		.amdhsa_group_segment_fixed_size 512
		.amdhsa_private_segment_fixed_size 0
		.amdhsa_kernarg_size 280
		.amdhsa_user_sgpr_count 15
		.amdhsa_user_sgpr_dispatch_ptr 0
		.amdhsa_user_sgpr_queue_ptr 0
		.amdhsa_user_sgpr_kernarg_segment_ptr 1
		.amdhsa_user_sgpr_dispatch_id 0
		.amdhsa_user_sgpr_private_segment_size 0
		.amdhsa_wavefront_size32 1
		.amdhsa_uses_dynamic_stack 0
		.amdhsa_enable_private_segment 0
		.amdhsa_system_sgpr_workgroup_id_x 1
		.amdhsa_system_sgpr_workgroup_id_y 0
		.amdhsa_system_sgpr_workgroup_id_z 0
		.amdhsa_system_sgpr_workgroup_info 0
		.amdhsa_system_vgpr_workitem_id 0
		.amdhsa_next_free_vgpr 10
		.amdhsa_next_free_sgpr 16
		.amdhsa_float_round_mode_32 0
		.amdhsa_float_round_mode_16_64 0
		.amdhsa_float_denorm_mode_32 3
		.amdhsa_float_denorm_mode_16_64 3
		.amdhsa_dx10_clamp 1
		.amdhsa_ieee_mode 1
		.amdhsa_fp16_overflow 0
		.amdhsa_workgroup_processor_mode 1
		.amdhsa_memory_ordered 1
		.amdhsa_forward_progress 0
		.amdhsa_shared_vgpr_count 0
		.amdhsa_exception_fp_ieee_invalid_op 0
		.amdhsa_exception_fp_denorm_src 0
		.amdhsa_exception_fp_ieee_div_zero 0
		.amdhsa_exception_fp_ieee_overflow 0
		.amdhsa_exception_fp_ieee_underflow 0
		.amdhsa_exception_fp_ieee_inexact 0
		.amdhsa_exception_int_div_zero 0
	.end_amdhsa_kernel
	.text
.Lfunc_end0:
	.size	_Z23kernel_reduceSmemUnrollPKfPfj, .Lfunc_end0-_Z23kernel_reduceSmemUnrollPKfPfj
                                        ; -- End function
	.section	.AMDGPU.csdata,"",@progbits
; Kernel info:
; codeLenInByte = 1108
; NumSgprs: 18
; NumVgprs: 10
; ScratchSize: 0
; MemoryBound: 0
; FloatMode: 240
; IeeeMode: 1
; LDSByteSize: 512 bytes/workgroup (compile time only)
; SGPRBlocks: 2
; VGPRBlocks: 1
; NumSGPRsForWavesPerEU: 18
; NumVGPRsForWavesPerEU: 10
; Occupancy: 16
; WaveLimiterHint : 0
; COMPUTE_PGM_RSRC2:SCRATCH_EN: 0
; COMPUTE_PGM_RSRC2:USER_SGPR: 15
; COMPUTE_PGM_RSRC2:TRAP_HANDLER: 0
; COMPUTE_PGM_RSRC2:TGID_X_EN: 1
; COMPUTE_PGM_RSRC2:TGID_Y_EN: 0
; COMPUTE_PGM_RSRC2:TGID_Z_EN: 0
; COMPUTE_PGM_RSRC2:TIDIG_COMP_CNT: 0
	.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_
	.amdgpu_metadata
---
amdhsa.kernels:
  - .args:
      - .actual_access:  read_only
        .address_space:  global
        .offset:         0
        .size:           8
        .value_kind:     global_buffer
      - .actual_access:  write_only
        .address_space:  global
        .offset:         8
        .size:           8
        .value_kind:     global_buffer
      - .offset:         16
        .size:           4
        .value_kind:     by_value
      - .offset:         24
        .size:           4
        .value_kind:     hidden_block_count_x
      - .offset:         28
        .size:           4
        .value_kind:     hidden_block_count_y
      - .offset:         32
        .size:           4
        .value_kind:     hidden_block_count_z
      - .offset:         36
        .size:           2
        .value_kind:     hidden_group_size_x
      - .offset:         38
        .size:           2
        .value_kind:     hidden_group_size_y
      - .offset:         40
        .size:           2
        .value_kind:     hidden_group_size_z
      - .offset:         42
        .size:           2
        .value_kind:     hidden_remainder_x
      - .offset:         44
        .size:           2
        .value_kind:     hidden_remainder_y
      - .offset:         46
        .size:           2
        .value_kind:     hidden_remainder_z
      - .offset:         64
        .size:           8
        .value_kind:     hidden_global_offset_x
      - .offset:         72
        .size:           8
        .value_kind:     hidden_global_offset_y
      - .offset:         80
        .size:           8
        .value_kind:     hidden_global_offset_z
      - .offset:         88
        .size:           2
        .value_kind:     hidden_grid_dims
    .group_segment_fixed_size: 512
    .kernarg_segment_align: 8
    .kernarg_segment_size: 280
    .language:       OpenCL C
    .language_version:
      - 2
      - 0
    .max_flat_workgroup_size: 1024
    .name:           _Z23kernel_reduceSmemUnrollPKfPfj
    .private_segment_fixed_size: 0
    .sgpr_count:     18
    .sgpr_spill_count: 0
    .symbol:         _Z23kernel_reduceSmemUnrollPKfPfj.kd
    .uniform_work_group_size: 1
    .uses_dynamic_stack: false
    .vgpr_count:     10
    .vgpr_spill_count: 0
    .wavefront_size: 32
    .workgroup_processor_mode: 1
amdhsa.target:   amdgcn-amd-amdhsa--gfx1100
amdhsa.version:
  - 1
  - 2
...

	.end_amdgpu_metadata
