/
device_reduce_stable.h
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/
device_reduce_stable.h
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/* Copyright (c) 1993-2015, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include "block_reduce.h"
__global__ void device_reduce_stable_kernel(int *in, int* out, int N) {
int sum=int(0);
for(int i=blockIdx.x*blockDim.x+threadIdx.x;i<N;i+=blockDim.x*gridDim.x) {
sum+=in[i];
}
sum=blockReduceSum(sum);
if(threadIdx.x==0)
out[blockIdx.x]=sum;
}
void device_reduce_stable(int *in, int* out, int N) {
int threads=512;
int blocks=min((N+threads-1)/threads,1024);
device_reduce_stable_kernel<<<blocks,threads>>>(in,out,N);
device_reduce_stable_kernel<<<1,1024>>>(out,out,blocks);
}
__global__ void device_reduce_stable_kernel_vector2(int *in, int* out, int N) {
int sum=0;
int idx=blockIdx.x*blockDim.x+threadIdx.x;
for(int i=idx;i<N/2;i+=blockDim.x*gridDim.x) {
int2 val=reinterpret_cast<int2*>(in)[i];
sum+=val.x+val.y;
}
int i=idx+N/2*2;
if(i<N)
sum+=in[i];
sum=blockReduceSum(sum);
if(threadIdx.x==0)
out[blockIdx.x]=sum;
}
void device_reduce_stable_vector2(int *in, int* out, int N) {
int threads=512;
int blocks=min((N/2+threads-1)/threads,1024);
device_reduce_stable_kernel_vector2<<<blocks,threads>>>(in,out,N);
device_reduce_stable_kernel<<<1,1024>>>(out,out,blocks);
}
__global__ void device_reduce_stable_kernel_vector4(int *in, int* out, int N) {
int sum=0;
int idx=blockIdx.x*blockDim.x+threadIdx.x;
for(int i=idx;i<N/4;i+=blockDim.x*gridDim.x) {
int4 val=reinterpret_cast<int4*>(in)[i];
sum+=(val.x+val.y)+(val.z+val.w);
}
int i=idx+N/4*4;
if(i<N)
sum+=in[i];
sum=blockReduceSum(sum);
if(threadIdx.x==0)
out[blockIdx.x]=sum;
}
void device_reduce_stable_vector4(int *in, int* out, int N) {
int threads=512;
int blocks=min((N/4+threads-1)/threads,1024);
device_reduce_stable_kernel_vector4<<<blocks,threads>>>(in,out,N);
device_reduce_stable_kernel<<<1,1024>>>(out,out,blocks);
}