cuda-samples/Samples/sortingNetworks/oddEvenMergeSort.cu

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2021-10-21 19:04:49 +08:00
/* Copyright (c) 2021, 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
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* 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
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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//Based on http://www.iti.fh-flensburg.de/lang/algorithmen/sortieren/networks/oemen.htm
#include <assert.h>
#include <cooperative_groups.h>
namespace cg = cooperative_groups;
#include <helper_cuda.h>
#include "sortingNetworks_common.h"
#include "sortingNetworks_common.cuh"
////////////////////////////////////////////////////////////////////////////////
// Monolithic Bacther's sort kernel for short arrays fitting into shared memory
////////////////////////////////////////////////////////////////////////////////
__global__ void oddEvenMergeSortShared(uint *d_DstKey, uint *d_DstVal,
uint *d_SrcKey, uint *d_SrcVal,
uint arrayLength, uint dir) {
// Handle to thread block group
cg::thread_block cta = cg::this_thread_block();
// Shared memory storage for one or more small vectors
__shared__ uint s_key[SHARED_SIZE_LIMIT];
__shared__ uint s_val[SHARED_SIZE_LIMIT];
// Offset to the beginning of subbatch and load data
d_SrcKey += blockIdx.x * SHARED_SIZE_LIMIT + threadIdx.x;
d_SrcVal += blockIdx.x * SHARED_SIZE_LIMIT + threadIdx.x;
d_DstKey += blockIdx.x * SHARED_SIZE_LIMIT + threadIdx.x;
d_DstVal += blockIdx.x * SHARED_SIZE_LIMIT + threadIdx.x;
s_key[threadIdx.x + 0] = d_SrcKey[0];
s_val[threadIdx.x + 0] = d_SrcVal[0];
s_key[threadIdx.x + (SHARED_SIZE_LIMIT / 2)] =
d_SrcKey[(SHARED_SIZE_LIMIT / 2)];
s_val[threadIdx.x + (SHARED_SIZE_LIMIT / 2)] =
d_SrcVal[(SHARED_SIZE_LIMIT / 2)];
for (uint size = 2; size <= arrayLength; size <<= 1) {
uint stride = size / 2;
uint offset = threadIdx.x & (stride - 1);
{
cg::sync(cta);
uint pos = 2 * threadIdx.x - (threadIdx.x & (stride - 1));
Comparator(s_key[pos + 0], s_val[pos + 0], s_key[pos + stride],
s_val[pos + stride], dir);
stride >>= 1;
}
for (; stride > 0; stride >>= 1) {
cg::sync(cta);
uint pos = 2 * threadIdx.x - (threadIdx.x & (stride - 1));
if (offset >= stride)
Comparator(s_key[pos - stride], s_val[pos - stride], s_key[pos + 0],
s_val[pos + 0], dir);
}
}
cg::sync(cta);
d_DstKey[0] = s_key[threadIdx.x + 0];
d_DstVal[0] = s_val[threadIdx.x + 0];
d_DstKey[(SHARED_SIZE_LIMIT / 2)] =
s_key[threadIdx.x + (SHARED_SIZE_LIMIT / 2)];
d_DstVal[(SHARED_SIZE_LIMIT / 2)] =
s_val[threadIdx.x + (SHARED_SIZE_LIMIT / 2)];
}
////////////////////////////////////////////////////////////////////////////////
// Odd-even merge sort iteration kernel
// for large arrays (not fitting into shared memory)
////////////////////////////////////////////////////////////////////////////////
__global__ void oddEvenMergeGlobal(uint *d_DstKey, uint *d_DstVal,
uint *d_SrcKey, uint *d_SrcVal,
uint arrayLength, uint size, uint stride,
uint dir) {
uint global_comparatorI = blockIdx.x * blockDim.x + threadIdx.x;
// Odd-even merge
uint pos = 2 * global_comparatorI - (global_comparatorI & (stride - 1));
if (stride < size / 2) {
uint offset = global_comparatorI & ((size / 2) - 1);
if (offset >= stride) {
uint keyA = d_SrcKey[pos - stride];
uint valA = d_SrcVal[pos - stride];
uint keyB = d_SrcKey[pos + 0];
uint valB = d_SrcVal[pos + 0];
Comparator(keyA, valA, keyB, valB, dir);
d_DstKey[pos - stride] = keyA;
d_DstVal[pos - stride] = valA;
d_DstKey[pos + 0] = keyB;
d_DstVal[pos + 0] = valB;
}
} else {
uint keyA = d_SrcKey[pos + 0];
uint valA = d_SrcVal[pos + 0];
uint keyB = d_SrcKey[pos + stride];
uint valB = d_SrcVal[pos + stride];
Comparator(keyA, valA, keyB, valB, dir);
d_DstKey[pos + 0] = keyA;
d_DstVal[pos + 0] = valA;
d_DstKey[pos + stride] = keyB;
d_DstVal[pos + stride] = valB;
}
}
////////////////////////////////////////////////////////////////////////////////
// Interface function
////////////////////////////////////////////////////////////////////////////////
// Helper function
extern "C" uint factorRadix2(uint *log2L, uint L);
extern "C" void oddEvenMergeSort(uint *d_DstKey, uint *d_DstVal, uint *d_SrcKey,
uint *d_SrcVal, uint batchSize,
uint arrayLength, uint dir) {
// Nothing to sort
if (arrayLength < 2) return;
// Only power-of-two array lengths are supported by this implementation
uint log2L;
uint factorizationRemainder = factorRadix2(&log2L, arrayLength);
assert(factorizationRemainder == 1);
dir = (dir != 0);
uint blockCount = (batchSize * arrayLength) / SHARED_SIZE_LIMIT;
uint threadCount = SHARED_SIZE_LIMIT / 2;
if (arrayLength <= SHARED_SIZE_LIMIT) {
assert(SHARED_SIZE_LIMIT % arrayLength == 0);
oddEvenMergeSortShared<<<blockCount, threadCount>>>(
d_DstKey, d_DstVal, d_SrcKey, d_SrcVal, arrayLength, dir);
} else {
oddEvenMergeSortShared<<<blockCount, threadCount>>>(
d_DstKey, d_DstVal, d_SrcKey, d_SrcVal, SHARED_SIZE_LIMIT, dir);
for (uint size = 2 * SHARED_SIZE_LIMIT; size <= arrayLength; size <<= 1)
for (unsigned stride = size / 2; stride > 0; stride >>= 1) {
// Unlike with bitonic sort, combining bitonic merge steps with
// stride = [SHARED_SIZE_LIMIT / 2 .. 1] seems to be impossible as there
// are dependencies between data elements crossing the SHARED_SIZE_LIMIT
// borders
oddEvenMergeGlobal<<<(batchSize * arrayLength) / 512, 256>>>(
d_DstKey, d_DstVal, d_DstKey, d_DstVal, arrayLength, size, stride,
dir);
}
}
}