mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-25 12:49:17 +08:00
164 lines
6.2 KiB
Plaintext
164 lines
6.2 KiB
Plaintext
/* Copyright (c) 2022, 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.
|
|
*/
|
|
|
|
#include <assert.h>
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
#include <string.h>
|
|
#include <cooperative_groups.h>
|
|
|
|
namespace cg = cooperative_groups;
|
|
#include <helper_cuda.h>
|
|
#include "histogram_common.h"
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Shortcut shared memory atomic addition functions
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#define TAG_MASK 0xFFFFFFFFU
|
|
inline __device__ void addByte(uint *s_WarpHist, uint data, uint threadTag) {
|
|
atomicAdd(s_WarpHist + data, 1);
|
|
}
|
|
|
|
inline __device__ void addWord(uint *s_WarpHist, uint data, uint tag) {
|
|
addByte(s_WarpHist, (data >> 0) & 0xFFU, tag);
|
|
addByte(s_WarpHist, (data >> 8) & 0xFFU, tag);
|
|
addByte(s_WarpHist, (data >> 16) & 0xFFU, tag);
|
|
addByte(s_WarpHist, (data >> 24) & 0xFFU, tag);
|
|
}
|
|
|
|
__global__ void histogram256Kernel(uint *d_PartialHistograms, uint *d_Data,
|
|
uint dataCount) {
|
|
// Handle to thread block group
|
|
cg::thread_block cta = cg::this_thread_block();
|
|
// Per-warp subhistogram storage
|
|
__shared__ uint s_Hist[HISTOGRAM256_THREADBLOCK_MEMORY];
|
|
uint *s_WarpHist =
|
|
s_Hist + (threadIdx.x >> LOG2_WARP_SIZE) * HISTOGRAM256_BIN_COUNT;
|
|
|
|
// Clear shared memory storage for current threadblock before processing
|
|
#pragma unroll
|
|
|
|
for (uint i = 0;
|
|
i < (HISTOGRAM256_THREADBLOCK_MEMORY / HISTOGRAM256_THREADBLOCK_SIZE);
|
|
i++) {
|
|
s_Hist[threadIdx.x + i * HISTOGRAM256_THREADBLOCK_SIZE] = 0;
|
|
}
|
|
|
|
// Cycle through the entire data set, update subhistograms for each warp
|
|
const uint tag = threadIdx.x << (UINT_BITS - LOG2_WARP_SIZE);
|
|
|
|
cg::sync(cta);
|
|
|
|
for (uint pos = UMAD(blockIdx.x, blockDim.x, threadIdx.x); pos < dataCount;
|
|
pos += UMUL(blockDim.x, gridDim.x)) {
|
|
uint data = d_Data[pos];
|
|
addWord(s_WarpHist, data, tag);
|
|
}
|
|
|
|
// Merge per-warp histograms into per-block and write to global memory
|
|
cg::sync(cta);
|
|
|
|
for (uint bin = threadIdx.x; bin < HISTOGRAM256_BIN_COUNT;
|
|
bin += HISTOGRAM256_THREADBLOCK_SIZE) {
|
|
uint sum = 0;
|
|
|
|
for (uint i = 0; i < WARP_COUNT; i++) {
|
|
sum += s_Hist[bin + i * HISTOGRAM256_BIN_COUNT] & TAG_MASK;
|
|
}
|
|
|
|
d_PartialHistograms[blockIdx.x * HISTOGRAM256_BIN_COUNT + bin] = sum;
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Merge histogram256() output
|
|
// Run one threadblock per bin; each threadblock adds up the same bin counter
|
|
// from every partial histogram. Reads are uncoalesced, but mergeHistogram256
|
|
// takes only a fraction of total processing time
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
#define MERGE_THREADBLOCK_SIZE 256
|
|
|
|
__global__ void mergeHistogram256Kernel(uint *d_Histogram,
|
|
uint *d_PartialHistograms,
|
|
uint histogramCount) {
|
|
// Handle to thread block group
|
|
cg::thread_block cta = cg::this_thread_block();
|
|
|
|
uint sum = 0;
|
|
|
|
for (uint i = threadIdx.x; i < histogramCount; i += MERGE_THREADBLOCK_SIZE) {
|
|
sum += d_PartialHistograms[blockIdx.x + i * HISTOGRAM256_BIN_COUNT];
|
|
}
|
|
|
|
__shared__ uint data[MERGE_THREADBLOCK_SIZE];
|
|
data[threadIdx.x] = sum;
|
|
|
|
for (uint stride = MERGE_THREADBLOCK_SIZE / 2; stride > 0; stride >>= 1) {
|
|
cg::sync(cta);
|
|
|
|
if (threadIdx.x < stride) {
|
|
data[threadIdx.x] += data[threadIdx.x + stride];
|
|
}
|
|
}
|
|
|
|
if (threadIdx.x == 0) {
|
|
d_Histogram[blockIdx.x] = data[0];
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// Host interface to GPU histogram
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
// histogram256kernel() intermediate results buffer
|
|
static const uint PARTIAL_HISTOGRAM256_COUNT = 240;
|
|
static uint *d_PartialHistograms;
|
|
|
|
// Internal memory allocation
|
|
extern "C" void initHistogram256(void) {
|
|
checkCudaErrors(cudaMalloc(
|
|
(void **)&d_PartialHistograms,
|
|
PARTIAL_HISTOGRAM256_COUNT * HISTOGRAM256_BIN_COUNT * sizeof(uint)));
|
|
}
|
|
|
|
// Internal memory deallocation
|
|
extern "C" void closeHistogram256(void) {
|
|
checkCudaErrors(cudaFree(d_PartialHistograms));
|
|
}
|
|
|
|
extern "C" void histogram256(uint *d_Histogram, void *d_Data, uint byteCount) {
|
|
assert(byteCount % sizeof(uint) == 0);
|
|
histogram256Kernel<<<PARTIAL_HISTOGRAM256_COUNT,
|
|
HISTOGRAM256_THREADBLOCK_SIZE>>>(
|
|
d_PartialHistograms, (uint *)d_Data, byteCount / sizeof(uint));
|
|
getLastCudaError("histogram256Kernel() execution failed\n");
|
|
|
|
mergeHistogram256Kernel<<<HISTOGRAM256_BIN_COUNT, MERGE_THREADBLOCK_SIZE>>>(
|
|
d_Histogram, d_PartialHistograms, PARTIAL_HISTOGRAM256_COUNT);
|
|
getLastCudaError("mergeHistogram256Kernel() execution failed\n");
|
|
}
|