mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-25 22:28:17 +08:00
Apply consistent code formatting across the repo. Add clang-format and pre-commit hooks.
This commit is contained in:
Rob Armstrong
@@ -26,13 +26,14 @@
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*/
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#include <assert.h>
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#include <cooperative_groups.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <cooperative_groups.h>
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namespace cg = cooperative_groups;
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#include <helper_cuda.h>
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#include "histogram_common.h"
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////////////////////////////////////////////////////////////////////////////////
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@@ -40,59 +41,53 @@ namespace cg = cooperative_groups;
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////////////////////////////////////////////////////////////////////////////////
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#define TAG_MASK 0xFFFFFFFFU
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inline __device__ void addByte(uint *s_WarpHist, uint data, uint threadTag) {
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atomicAdd(s_WarpHist + data, 1);
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inline __device__ void addByte(uint *s_WarpHist, uint data, uint threadTag) { atomicAdd(s_WarpHist + data, 1); }
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inline __device__ void addWord(uint *s_WarpHist, uint data, uint tag)
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{
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addByte(s_WarpHist, (data >> 0) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 8) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 16) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 24) & 0xFFU, tag);
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}
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inline __device__ void addWord(uint *s_WarpHist, uint data, uint tag) {
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addByte(s_WarpHist, (data >> 0) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 8) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 16) & 0xFFU, tag);
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addByte(s_WarpHist, (data >> 24) & 0xFFU, tag);
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}
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__global__ void histogram256Kernel(uint *d_PartialHistograms, uint *d_Data,
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uint dataCount) {
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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// Per-warp subhistogram storage
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__shared__ uint s_Hist[HISTOGRAM256_THREADBLOCK_MEMORY];
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uint *s_WarpHist =
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s_Hist + (threadIdx.x >> LOG2_WARP_SIZE) * HISTOGRAM256_BIN_COUNT;
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__global__ void histogram256Kernel(uint *d_PartialHistograms, uint *d_Data, uint dataCount)
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{
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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// Per-warp subhistogram storage
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__shared__ uint s_Hist[HISTOGRAM256_THREADBLOCK_MEMORY];
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uint *s_WarpHist = s_Hist + (threadIdx.x >> LOG2_WARP_SIZE) * HISTOGRAM256_BIN_COUNT;
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// Clear shared memory storage for current threadblock before processing
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#pragma unroll
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for (uint i = 0;
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i < (HISTOGRAM256_THREADBLOCK_MEMORY / HISTOGRAM256_THREADBLOCK_SIZE);
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i++) {
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s_Hist[threadIdx.x + i * HISTOGRAM256_THREADBLOCK_SIZE] = 0;
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}
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// Cycle through the entire data set, update subhistograms for each warp
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const uint tag = threadIdx.x << (UINT_BITS - LOG2_WARP_SIZE);
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cg::sync(cta);
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for (uint pos = UMAD(blockIdx.x, blockDim.x, threadIdx.x); pos < dataCount;
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pos += UMUL(blockDim.x, gridDim.x)) {
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uint data = d_Data[pos];
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addWord(s_WarpHist, data, tag);
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}
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// Merge per-warp histograms into per-block and write to global memory
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cg::sync(cta);
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for (uint bin = threadIdx.x; bin < HISTOGRAM256_BIN_COUNT;
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bin += HISTOGRAM256_THREADBLOCK_SIZE) {
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uint sum = 0;
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for (uint i = 0; i < WARP_COUNT; i++) {
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sum += s_Hist[bin + i * HISTOGRAM256_BIN_COUNT] & TAG_MASK;
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for (uint i = 0; i < (HISTOGRAM256_THREADBLOCK_MEMORY / HISTOGRAM256_THREADBLOCK_SIZE); i++) {
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s_Hist[threadIdx.x + i * HISTOGRAM256_THREADBLOCK_SIZE] = 0;
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}
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d_PartialHistograms[blockIdx.x * HISTOGRAM256_BIN_COUNT + bin] = sum;
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}
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// Cycle through the entire data set, update subhistograms for each warp
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const uint tag = threadIdx.x << (UINT_BITS - LOG2_WARP_SIZE);
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cg::sync(cta);
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for (uint pos = UMAD(blockIdx.x, blockDim.x, threadIdx.x); pos < dataCount; pos += UMUL(blockDim.x, gridDim.x)) {
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uint data = d_Data[pos];
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addWord(s_WarpHist, data, tag);
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}
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// Merge per-warp histograms into per-block and write to global memory
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cg::sync(cta);
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for (uint bin = threadIdx.x; bin < HISTOGRAM256_BIN_COUNT; bin += HISTOGRAM256_THREADBLOCK_SIZE) {
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uint sum = 0;
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for (uint i = 0; i < WARP_COUNT; i++) {
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sum += s_Hist[bin + i * HISTOGRAM256_BIN_COUNT] & TAG_MASK;
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}
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d_PartialHistograms[blockIdx.x * HISTOGRAM256_BIN_COUNT + bin] = sum;
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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@@ -103,32 +98,31 @@ __global__ void histogram256Kernel(uint *d_PartialHistograms, uint *d_Data,
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////////////////////////////////////////////////////////////////////////////////
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#define MERGE_THREADBLOCK_SIZE 256
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__global__ void mergeHistogram256Kernel(uint *d_Histogram,
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uint *d_PartialHistograms,
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uint histogramCount) {
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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__global__ void mergeHistogram256Kernel(uint *d_Histogram, uint *d_PartialHistograms, uint histogramCount)
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{
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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uint sum = 0;
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uint sum = 0;
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for (uint i = threadIdx.x; i < histogramCount; i += MERGE_THREADBLOCK_SIZE) {
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sum += d_PartialHistograms[blockIdx.x + i * HISTOGRAM256_BIN_COUNT];
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}
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__shared__ uint data[MERGE_THREADBLOCK_SIZE];
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data[threadIdx.x] = sum;
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for (uint stride = MERGE_THREADBLOCK_SIZE / 2; stride > 0; stride >>= 1) {
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cg::sync(cta);
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if (threadIdx.x < stride) {
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data[threadIdx.x] += data[threadIdx.x + stride];
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for (uint i = threadIdx.x; i < histogramCount; i += MERGE_THREADBLOCK_SIZE) {
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sum += d_PartialHistograms[blockIdx.x + i * HISTOGRAM256_BIN_COUNT];
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}
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}
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if (threadIdx.x == 0) {
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d_Histogram[blockIdx.x] = data[0];
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}
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__shared__ uint data[MERGE_THREADBLOCK_SIZE];
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data[threadIdx.x] = sum;
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for (uint stride = MERGE_THREADBLOCK_SIZE / 2; stride > 0; stride >>= 1) {
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cg::sync(cta);
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if (threadIdx.x < stride) {
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data[threadIdx.x] += data[threadIdx.x + stride];
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}
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}
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if (threadIdx.x == 0) {
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d_Histogram[blockIdx.x] = data[0];
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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@@ -136,28 +130,26 @@ __global__ void mergeHistogram256Kernel(uint *d_Histogram,
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////////////////////////////////////////////////////////////////////////////////
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// histogram256kernel() intermediate results buffer
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static const uint PARTIAL_HISTOGRAM256_COUNT = 240;
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static uint *d_PartialHistograms;
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static uint *d_PartialHistograms;
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// Internal memory allocation
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extern "C" void initHistogram256(void) {
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checkCudaErrors(cudaMalloc(
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(void **)&d_PartialHistograms,
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PARTIAL_HISTOGRAM256_COUNT * HISTOGRAM256_BIN_COUNT * sizeof(uint)));
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extern "C" void initHistogram256(void)
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{
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checkCudaErrors(
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cudaMalloc((void **)&d_PartialHistograms, PARTIAL_HISTOGRAM256_COUNT * HISTOGRAM256_BIN_COUNT * sizeof(uint)));
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}
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// Internal memory deallocation
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extern "C" void closeHistogram256(void) {
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checkCudaErrors(cudaFree(d_PartialHistograms));
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}
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extern "C" void closeHistogram256(void) { checkCudaErrors(cudaFree(d_PartialHistograms)); }
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extern "C" void histogram256(uint *d_Histogram, void *d_Data, uint byteCount) {
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assert(byteCount % sizeof(uint) == 0);
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histogram256Kernel<<<PARTIAL_HISTOGRAM256_COUNT,
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HISTOGRAM256_THREADBLOCK_SIZE>>>(
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d_PartialHistograms, (uint *)d_Data, byteCount / sizeof(uint));
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getLastCudaError("histogram256Kernel() execution failed\n");
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extern "C" void histogram256(uint *d_Histogram, void *d_Data, uint byteCount)
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{
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assert(byteCount % sizeof(uint) == 0);
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histogram256Kernel<<<PARTIAL_HISTOGRAM256_COUNT, HISTOGRAM256_THREADBLOCK_SIZE>>>(
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d_PartialHistograms, (uint *)d_Data, byteCount / sizeof(uint));
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getLastCudaError("histogram256Kernel() execution failed\n");
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mergeHistogram256Kernel<<<HISTOGRAM256_BIN_COUNT, MERGE_THREADBLOCK_SIZE>>>(
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d_Histogram, d_PartialHistograms, PARTIAL_HISTOGRAM256_COUNT);
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getLastCudaError("mergeHistogram256Kernel() execution failed\n");
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mergeHistogram256Kernel<<<HISTOGRAM256_BIN_COUNT, MERGE_THREADBLOCK_SIZE>>>(
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d_Histogram, d_PartialHistograms, PARTIAL_HISTOGRAM256_COUNT);
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getLastCudaError("mergeHistogram256Kernel() execution failed\n");
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}
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@@ -26,13 +26,14 @@
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*/
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#include <assert.h>
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#include <cooperative_groups.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <cooperative_groups.h>
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namespace cg = cooperative_groups;
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#include <helper_cuda.h>
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#include "histogram_common.h"
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////////////////////////////////////////////////////////////////////////////////
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@@ -48,78 +49,77 @@ typedef uint4 data_t;
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// Main computation pass: compute gridDim.x partial histograms
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////////////////////////////////////////////////////////////////////////////////
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// Count a byte into shared-memory storage
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inline __device__ void addByte(uchar *s_ThreadBase, uint data) {
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s_ThreadBase[UMUL(data, HISTOGRAM64_THREADBLOCK_SIZE)]++;
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inline __device__ void addByte(uchar *s_ThreadBase, uint data)
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{
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s_ThreadBase[UMUL(data, HISTOGRAM64_THREADBLOCK_SIZE)]++;
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}
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// Count four bytes of a word
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inline __device__ void addWord(uchar *s_ThreadBase, uint data) {
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// Only higher 6 bits of each byte matter, as this is a 64-bin histogram
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addByte(s_ThreadBase, (data >> 2) & 0x3FU);
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addByte(s_ThreadBase, (data >> 10) & 0x3FU);
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addByte(s_ThreadBase, (data >> 18) & 0x3FU);
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addByte(s_ThreadBase, (data >> 26) & 0x3FU);
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inline __device__ void addWord(uchar *s_ThreadBase, uint data)
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{
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// Only higher 6 bits of each byte matter, as this is a 64-bin histogram
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addByte(s_ThreadBase, (data >> 2) & 0x3FU);
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addByte(s_ThreadBase, (data >> 10) & 0x3FU);
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addByte(s_ThreadBase, (data >> 18) & 0x3FU);
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addByte(s_ThreadBase, (data >> 26) & 0x3FU);
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}
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__global__ void histogram64Kernel(uint *d_PartialHistograms, data_t *d_Data,
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uint dataCount) {
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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// Encode thread index in order to avoid bank conflicts in s_Hist[] access:
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// each group of SHARED_MEMORY_BANKS threads accesses consecutive shared
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// memory banks
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// and the same bytes [0..3] within the banks
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// Because of this permutation block size should be a multiple of 4 *
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// SHARED_MEMORY_BANKS
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const uint threadPos = ((threadIdx.x & ~(SHARED_MEMORY_BANKS * 4 - 1)) << 0) |
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((threadIdx.x & (SHARED_MEMORY_BANKS - 1)) << 2) |
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((threadIdx.x & (SHARED_MEMORY_BANKS * 3)) >> 4);
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__global__ void histogram64Kernel(uint *d_PartialHistograms, data_t *d_Data, uint dataCount)
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{
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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// Encode thread index in order to avoid bank conflicts in s_Hist[] access:
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// each group of SHARED_MEMORY_BANKS threads accesses consecutive shared
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// memory banks
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// and the same bytes [0..3] within the banks
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// Because of this permutation block size should be a multiple of 4 *
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// SHARED_MEMORY_BANKS
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const uint threadPos = ((threadIdx.x & ~(SHARED_MEMORY_BANKS * 4 - 1)) << 0)
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| ((threadIdx.x & (SHARED_MEMORY_BANKS - 1)) << 2)
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| ((threadIdx.x & (SHARED_MEMORY_BANKS * 3)) >> 4);
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// Per-thread histogram storage
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__shared__ uchar s_Hist[HISTOGRAM64_THREADBLOCK_SIZE * HISTOGRAM64_BIN_COUNT];
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uchar *s_ThreadBase = s_Hist + threadPos;
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// Per-thread histogram storage
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__shared__ uchar s_Hist[HISTOGRAM64_THREADBLOCK_SIZE * HISTOGRAM64_BIN_COUNT];
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uchar *s_ThreadBase = s_Hist + threadPos;
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// Initialize shared memory (writing 32-bit words)
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#pragma unroll
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for (uint i = 0; i < (HISTOGRAM64_BIN_COUNT / 4); i++) {
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((uint *)s_Hist)[threadIdx.x + i * HISTOGRAM64_THREADBLOCK_SIZE] = 0;
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}
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for (uint i = 0; i < (HISTOGRAM64_BIN_COUNT / 4); i++) {
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((uint *)s_Hist)[threadIdx.x + i * HISTOGRAM64_THREADBLOCK_SIZE] = 0;
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}
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// Read data from global memory and submit to the shared-memory histogram
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// Since histogram counters are byte-sized, every single thread can't do more
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// than 255 submission
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cg::sync(cta);
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// Read data from global memory and submit to the shared-memory histogram
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// Since histogram counters are byte-sized, every single thread can't do more
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// than 255 submission
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cg::sync(cta);
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for (uint pos = UMAD(blockIdx.x, blockDim.x, threadIdx.x); pos < dataCount;
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pos += UMUL(blockDim.x, gridDim.x)) {
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data_t data = d_Data[pos];
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addWord(s_ThreadBase, data.x);
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addWord(s_ThreadBase, data.y);
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addWord(s_ThreadBase, data.z);
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addWord(s_ThreadBase, data.w);
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}
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for (uint pos = UMAD(blockIdx.x, blockDim.x, threadIdx.x); pos < dataCount; pos += UMUL(blockDim.x, gridDim.x)) {
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data_t data = d_Data[pos];
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addWord(s_ThreadBase, data.x);
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addWord(s_ThreadBase, data.y);
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addWord(s_ThreadBase, data.z);
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addWord(s_ThreadBase, data.w);
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}
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// Accumulate per-thread histograms into per-block and write to global memory
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cg::sync(cta);
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// Accumulate per-thread histograms into per-block and write to global memory
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cg::sync(cta);
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if (threadIdx.x < HISTOGRAM64_BIN_COUNT) {
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uchar *s_HistBase =
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s_Hist + UMUL(threadIdx.x, HISTOGRAM64_THREADBLOCK_SIZE);
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if (threadIdx.x < HISTOGRAM64_BIN_COUNT) {
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uchar *s_HistBase = s_Hist + UMUL(threadIdx.x, HISTOGRAM64_THREADBLOCK_SIZE);
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uint sum = 0;
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uint pos = 4 * (threadIdx.x & (SHARED_MEMORY_BANKS - 1));
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uint sum = 0;
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uint pos = 4 * (threadIdx.x & (SHARED_MEMORY_BANKS - 1));
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#pragma unroll
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for (uint i = 0; i < (HISTOGRAM64_THREADBLOCK_SIZE / 4); i++) {
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sum += s_HistBase[pos + 0] + s_HistBase[pos + 1] + s_HistBase[pos + 2] +
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s_HistBase[pos + 3];
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pos = (pos + 4) & (HISTOGRAM64_THREADBLOCK_SIZE - 1);
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}
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for (uint i = 0; i < (HISTOGRAM64_THREADBLOCK_SIZE / 4); i++) {
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sum += s_HistBase[pos + 0] + s_HistBase[pos + 1] + s_HistBase[pos + 2] + s_HistBase[pos + 3];
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pos = (pos + 4) & (HISTOGRAM64_THREADBLOCK_SIZE - 1);
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}
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d_PartialHistograms[blockIdx.x * HISTOGRAM64_BIN_COUNT + threadIdx.x] = sum;
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}
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d_PartialHistograms[blockIdx.x * HISTOGRAM64_BIN_COUNT + threadIdx.x] = sum;
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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@@ -130,32 +130,31 @@ __global__ void histogram64Kernel(uint *d_PartialHistograms, data_t *d_Data,
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////////////////////////////////////////////////////////////////////////////////
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#define MERGE_THREADBLOCK_SIZE 256
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__global__ void mergeHistogram64Kernel(uint *d_Histogram,
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uint *d_PartialHistograms,
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uint histogramCount) {
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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__shared__ uint data[MERGE_THREADBLOCK_SIZE];
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__global__ void mergeHistogram64Kernel(uint *d_Histogram, uint *d_PartialHistograms, uint histogramCount)
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{
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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__shared__ uint data[MERGE_THREADBLOCK_SIZE];
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uint sum = 0;
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uint sum = 0;
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for (uint i = threadIdx.x; i < histogramCount; i += MERGE_THREADBLOCK_SIZE) {
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sum += d_PartialHistograms[blockIdx.x + i * HISTOGRAM64_BIN_COUNT];
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}
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data[threadIdx.x] = sum;
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for (uint stride = MERGE_THREADBLOCK_SIZE / 2; stride > 0; stride >>= 1) {
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cg::sync(cta);
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if (threadIdx.x < stride) {
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data[threadIdx.x] += data[threadIdx.x + stride];
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for (uint i = threadIdx.x; i < histogramCount; i += MERGE_THREADBLOCK_SIZE) {
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sum += d_PartialHistograms[blockIdx.x + i * HISTOGRAM64_BIN_COUNT];
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}
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}
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if (threadIdx.x == 0) {
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d_Histogram[blockIdx.x] = data[0];
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}
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data[threadIdx.x] = sum;
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for (uint stride = MERGE_THREADBLOCK_SIZE / 2; stride > 0; stride >>= 1) {
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cg::sync(cta);
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||||
|
||||
if (threadIdx.x < stride) {
|
||||
data[threadIdx.x] += data[threadIdx.x + stride];
|
||||
}
|
||||
}
|
||||
|
||||
if (threadIdx.x == 0) {
|
||||
d_Histogram[blockIdx.x] = data[0];
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -165,41 +164,37 @@ __global__ void mergeHistogram64Kernel(uint *d_Histogram,
|
||||
// MAX_PARTIAL_HISTOGRAM64_COUNT == 32768 and HISTOGRAM64_THREADBLOCK_SIZE == 64
|
||||
// amounts to max. 480MB of input data
|
||||
static const uint MAX_PARTIAL_HISTOGRAM64_COUNT = 32768;
|
||||
static uint *d_PartialHistograms;
|
||||
static uint *d_PartialHistograms;
|
||||
|
||||
// Internal memory allocation
|
||||
extern "C" void initHistogram64(void) {
|
||||
assert(HISTOGRAM64_THREADBLOCK_SIZE % (4 * SHARED_MEMORY_BANKS) == 0);
|
||||
checkCudaErrors(cudaMalloc(
|
||||
(void **)&d_PartialHistograms,
|
||||
MAX_PARTIAL_HISTOGRAM64_COUNT * HISTOGRAM64_BIN_COUNT * sizeof(uint)));
|
||||
extern "C" void initHistogram64(void)
|
||||
{
|
||||
assert(HISTOGRAM64_THREADBLOCK_SIZE % (4 * SHARED_MEMORY_BANKS) == 0);
|
||||
checkCudaErrors(cudaMalloc((void **)&d_PartialHistograms,
|
||||
MAX_PARTIAL_HISTOGRAM64_COUNT * HISTOGRAM64_BIN_COUNT * sizeof(uint)));
|
||||
}
|
||||
|
||||
// Internal memory deallocation
|
||||
extern "C" void closeHistogram64(void) {
|
||||
checkCudaErrors(cudaFree(d_PartialHistograms));
|
||||
}
|
||||
extern "C" void closeHistogram64(void) { checkCudaErrors(cudaFree(d_PartialHistograms)); }
|
||||
|
||||
// Round a / b to nearest higher integer value
|
||||
inline uint iDivUp(uint a, uint b) {
|
||||
return (a % b != 0) ? (a / b + 1) : (a / b);
|
||||
}
|
||||
inline uint iDivUp(uint a, uint b) { return (a % b != 0) ? (a / b + 1) : (a / b); }
|
||||
|
||||
// Snap a to nearest lower multiple of b
|
||||
inline uint iSnapDown(uint a, uint b) { return a - a % b; }
|
||||
|
||||
extern "C" void histogram64(uint *d_Histogram, void *d_Data, uint byteCount) {
|
||||
const uint histogramCount = iDivUp(
|
||||
byteCount, HISTOGRAM64_THREADBLOCK_SIZE * iSnapDown(255, sizeof(data_t)));
|
||||
extern "C" void histogram64(uint *d_Histogram, void *d_Data, uint byteCount)
|
||||
{
|
||||
const uint histogramCount = iDivUp(byteCount, HISTOGRAM64_THREADBLOCK_SIZE * iSnapDown(255, sizeof(data_t)));
|
||||
|
||||
assert(byteCount % sizeof(data_t) == 0);
|
||||
assert(histogramCount <= MAX_PARTIAL_HISTOGRAM64_COUNT);
|
||||
assert(byteCount % sizeof(data_t) == 0);
|
||||
assert(histogramCount <= MAX_PARTIAL_HISTOGRAM64_COUNT);
|
||||
|
||||
histogram64Kernel<<<histogramCount, HISTOGRAM64_THREADBLOCK_SIZE>>>(
|
||||
d_PartialHistograms, (data_t *)d_Data, byteCount / sizeof(data_t));
|
||||
getLastCudaError("histogram64Kernel() execution failed\n");
|
||||
histogram64Kernel<<<histogramCount, HISTOGRAM64_THREADBLOCK_SIZE>>>(
|
||||
d_PartialHistograms, (data_t *)d_Data, byteCount / sizeof(data_t));
|
||||
getLastCudaError("histogram64Kernel() execution failed\n");
|
||||
|
||||
mergeHistogram64Kernel<<<HISTOGRAM64_BIN_COUNT, MERGE_THREADBLOCK_SIZE>>>(
|
||||
d_Histogram, d_PartialHistograms, histogramCount);
|
||||
getLastCudaError("mergeHistogram64() execution failed\n");
|
||||
mergeHistogram64Kernel<<<HISTOGRAM64_BIN_COUNT, MERGE_THREADBLOCK_SIZE>>>(
|
||||
d_Histogram, d_PartialHistograms, histogramCount);
|
||||
getLastCudaError("mergeHistogram64() execution failed\n");
|
||||
}
|
||||
|
||||
@@ -31,17 +31,17 @@
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Common definitions
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
#define HISTOGRAM64_BIN_COUNT 64
|
||||
#define HISTOGRAM64_BIN_COUNT 64
|
||||
#define HISTOGRAM256_BIN_COUNT 256
|
||||
#define UINT_BITS 32
|
||||
typedef unsigned int uint;
|
||||
#define UINT_BITS 32
|
||||
typedef unsigned int uint;
|
||||
typedef unsigned char uchar;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// GPU-specific common definitions
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
#define LOG2_WARP_SIZE 5U
|
||||
#define WARP_SIZE (1U << LOG2_WARP_SIZE)
|
||||
#define WARP_SIZE (1U << LOG2_WARP_SIZE)
|
||||
|
||||
// May change on future hardware, so better parametrize the code
|
||||
#define SHARED_MEMORY_BANKS 16
|
||||
@@ -59,7 +59,7 @@ typedef unsigned char uchar;
|
||||
// Shared memory per threadblock
|
||||
#define HISTOGRAM256_THREADBLOCK_MEMORY (WARP_COUNT * HISTOGRAM256_BIN_COUNT)
|
||||
|
||||
#define UMUL(a, b) ((a) * (b))
|
||||
#define UMUL(a, b) ((a) * (b))
|
||||
#define UMAD(a, b, c) (UMUL((a), (b)) + (c))
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -67,8 +67,7 @@ typedef unsigned char uchar;
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
extern "C" void histogram64CPU(uint *h_Histogram, void *h_Data, uint byteCount);
|
||||
|
||||
extern "C" void histogram256CPU(uint *h_Histogram, void *h_Data,
|
||||
uint byteCount);
|
||||
extern "C" void histogram256CPU(uint *h_Histogram, void *h_Data, uint byteCount);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// GPU histogram
|
||||
|
||||
@@ -26,34 +26,37 @@
|
||||
*/
|
||||
|
||||
#include <assert.h>
|
||||
|
||||
#include "histogram_common.h"
|
||||
|
||||
extern "C" void histogram64CPU(uint *h_Histogram, void *h_Data,
|
||||
uint byteCount) {
|
||||
for (uint i = 0; i < HISTOGRAM64_BIN_COUNT; i++) h_Histogram[i] = 0;
|
||||
extern "C" void histogram64CPU(uint *h_Histogram, void *h_Data, uint byteCount)
|
||||
{
|
||||
for (uint i = 0; i < HISTOGRAM64_BIN_COUNT; i++)
|
||||
h_Histogram[i] = 0;
|
||||
|
||||
assert(sizeof(uint) == 4 && (byteCount % 4) == 0);
|
||||
assert(sizeof(uint) == 4 && (byteCount % 4) == 0);
|
||||
|
||||
for (uint i = 0; i < (byteCount / 4); i++) {
|
||||
uint data = ((uint *)h_Data)[i];
|
||||
h_Histogram[(data >> 2) & 0x3FU]++;
|
||||
h_Histogram[(data >> 10) & 0x3FU]++;
|
||||
h_Histogram[(data >> 18) & 0x3FU]++;
|
||||
h_Histogram[(data >> 26) & 0x3FU]++;
|
||||
}
|
||||
for (uint i = 0; i < (byteCount / 4); i++) {
|
||||
uint data = ((uint *)h_Data)[i];
|
||||
h_Histogram[(data >> 2) & 0x3FU]++;
|
||||
h_Histogram[(data >> 10) & 0x3FU]++;
|
||||
h_Histogram[(data >> 18) & 0x3FU]++;
|
||||
h_Histogram[(data >> 26) & 0x3FU]++;
|
||||
}
|
||||
}
|
||||
|
||||
extern "C" void histogram256CPU(uint *h_Histogram, void *h_Data,
|
||||
uint byteCount) {
|
||||
for (uint i = 0; i < HISTOGRAM256_BIN_COUNT; i++) h_Histogram[i] = 0;
|
||||
extern "C" void histogram256CPU(uint *h_Histogram, void *h_Data, uint byteCount)
|
||||
{
|
||||
for (uint i = 0; i < HISTOGRAM256_BIN_COUNT; i++)
|
||||
h_Histogram[i] = 0;
|
||||
|
||||
assert(sizeof(uint) == 4 && (byteCount % 4) == 0);
|
||||
assert(sizeof(uint) == 4 && (byteCount % 4) == 0);
|
||||
|
||||
for (uint i = 0; i < (byteCount / 4); i++) {
|
||||
uint data = ((uint *)h_Data)[i];
|
||||
h_Histogram[(data >> 0) & 0xFFU]++;
|
||||
h_Histogram[(data >> 8) & 0xFFU]++;
|
||||
h_Histogram[(data >> 16) & 0xFFU]++;
|
||||
h_Histogram[(data >> 24) & 0xFFU]++;
|
||||
}
|
||||
for (uint i = 0; i < (byteCount / 4); i++) {
|
||||
uint data = ((uint *)h_Data)[i];
|
||||
h_Histogram[(data >> 0) & 0xFFU]++;
|
||||
h_Histogram[(data >> 8) & 0xFFU]++;
|
||||
h_Histogram[(data >> 16) & 0xFFU]++;
|
||||
h_Histogram[(data >> 24) & 0xFFU]++;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -26,205 +26,203 @@
|
||||
*/
|
||||
|
||||
/*
|
||||
* This sample implements 64-bin histogram calculation
|
||||
* of arbitrary-sized 8-bit data array
|
||||
*/
|
||||
* This sample implements 64-bin histogram calculation
|
||||
* of arbitrary-sized 8-bit data array
|
||||
*/
|
||||
|
||||
// CUDA Runtime
|
||||
#include <cuda_runtime.h>
|
||||
|
||||
// Utility and system includes
|
||||
#include <helper_cuda.h>
|
||||
#include <helper_functions.h> // helper for shared that are common to CUDA Samples
|
||||
#include <helper_functions.h> // helper for shared that are common to CUDA Samples
|
||||
|
||||
// project include
|
||||
#include "histogram_common.h"
|
||||
|
||||
const int numRuns = 16;
|
||||
const int numRuns = 16;
|
||||
const static char *sSDKsample = "[histogram]\0";
|
||||
|
||||
int main(int argc, char **argv) {
|
||||
uchar *h_Data;
|
||||
uint *h_HistogramCPU, *h_HistogramGPU;
|
||||
uchar *d_Data;
|
||||
uint *d_Histogram;
|
||||
StopWatchInterface *hTimer = NULL;
|
||||
int PassFailFlag = 1;
|
||||
uint byteCount = 64 * 1048576;
|
||||
uint uiSizeMult = 1;
|
||||
int main(int argc, char **argv)
|
||||
{
|
||||
uchar *h_Data;
|
||||
uint *h_HistogramCPU, *h_HistogramGPU;
|
||||
uchar *d_Data;
|
||||
uint *d_Histogram;
|
||||
StopWatchInterface *hTimer = NULL;
|
||||
int PassFailFlag = 1;
|
||||
uint byteCount = 64 * 1048576;
|
||||
uint uiSizeMult = 1;
|
||||
|
||||
cudaDeviceProp deviceProp;
|
||||
deviceProp.major = 0;
|
||||
deviceProp.minor = 0;
|
||||
cudaDeviceProp deviceProp;
|
||||
deviceProp.major = 0;
|
||||
deviceProp.minor = 0;
|
||||
|
||||
// set logfile name and start logs
|
||||
printf("[%s] - Starting...\n", sSDKsample);
|
||||
// set logfile name and start logs
|
||||
printf("[%s] - Starting...\n", sSDKsample);
|
||||
|
||||
// Use command-line specified CUDA device, otherwise use device with highest
|
||||
// Gflops/s
|
||||
int dev = findCudaDevice(argc, (const char **)argv);
|
||||
// Use command-line specified CUDA device, otherwise use device with highest
|
||||
// Gflops/s
|
||||
int dev = findCudaDevice(argc, (const char **)argv);
|
||||
|
||||
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, dev));
|
||||
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, dev));
|
||||
|
||||
printf("CUDA device [%s] has %d Multi-Processors, Compute %d.%d\n",
|
||||
deviceProp.name, deviceProp.multiProcessorCount, deviceProp.major,
|
||||
deviceProp.minor);
|
||||
printf("CUDA device [%s] has %d Multi-Processors, Compute %d.%d\n",
|
||||
deviceProp.name,
|
||||
deviceProp.multiProcessorCount,
|
||||
deviceProp.major,
|
||||
deviceProp.minor);
|
||||
|
||||
sdkCreateTimer(&hTimer);
|
||||
sdkCreateTimer(&hTimer);
|
||||
|
||||
// Optional Command-line multiplier to increase size of array to histogram
|
||||
if (checkCmdLineFlag(argc, (const char **)argv, "sizemult")) {
|
||||
uiSizeMult = getCmdLineArgumentInt(argc, (const char **)argv, "sizemult");
|
||||
uiSizeMult = MAX(1, MIN(uiSizeMult, 10));
|
||||
byteCount *= uiSizeMult;
|
||||
}
|
||||
// Optional Command-line multiplier to increase size of array to histogram
|
||||
if (checkCmdLineFlag(argc, (const char **)argv, "sizemult")) {
|
||||
uiSizeMult = getCmdLineArgumentInt(argc, (const char **)argv, "sizemult");
|
||||
uiSizeMult = MAX(1, MIN(uiSizeMult, 10));
|
||||
byteCount *= uiSizeMult;
|
||||
}
|
||||
|
||||
printf("Initializing data...\n");
|
||||
printf("...allocating CPU memory.\n");
|
||||
h_Data = (uchar *)malloc(byteCount);
|
||||
h_HistogramCPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
|
||||
h_HistogramGPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
|
||||
printf("Initializing data...\n");
|
||||
printf("...allocating CPU memory.\n");
|
||||
h_Data = (uchar *)malloc(byteCount);
|
||||
h_HistogramCPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
|
||||
h_HistogramGPU = (uint *)malloc(HISTOGRAM256_BIN_COUNT * sizeof(uint));
|
||||
|
||||
printf("...generating input data\n");
|
||||
srand(2009);
|
||||
printf("...generating input data\n");
|
||||
srand(2009);
|
||||
|
||||
for (uint i = 0; i < byteCount; i++) {
|
||||
h_Data[i] = rand() % 256;
|
||||
}
|
||||
for (uint i = 0; i < byteCount; i++) {
|
||||
h_Data[i] = rand() % 256;
|
||||
}
|
||||
|
||||
printf("...allocating GPU memory and copying input data\n\n");
|
||||
checkCudaErrors(cudaMalloc((void **)&d_Data, byteCount));
|
||||
checkCudaErrors(
|
||||
cudaMalloc((void **)&d_Histogram, HISTOGRAM256_BIN_COUNT * sizeof(uint)));
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(d_Data, h_Data, byteCount, cudaMemcpyHostToDevice));
|
||||
printf("...allocating GPU memory and copying input data\n\n");
|
||||
checkCudaErrors(cudaMalloc((void **)&d_Data, byteCount));
|
||||
checkCudaErrors(cudaMalloc((void **)&d_Histogram, HISTOGRAM256_BIN_COUNT * sizeof(uint)));
|
||||
checkCudaErrors(cudaMemcpy(d_Data, h_Data, byteCount, cudaMemcpyHostToDevice));
|
||||
|
||||
{
|
||||
printf("Starting up 64-bin histogram...\n\n");
|
||||
initHistogram64();
|
||||
{
|
||||
printf("Starting up 64-bin histogram...\n\n");
|
||||
initHistogram64();
|
||||
|
||||
printf("Running 64-bin GPU histogram for %u bytes (%u runs)...\n\n",
|
||||
byteCount, numRuns);
|
||||
printf("Running 64-bin GPU histogram for %u bytes (%u runs)...\n\n", byteCount, numRuns);
|
||||
|
||||
for (int iter = -1; iter < numRuns; iter++) {
|
||||
// iter == -1 -- warmup iteration
|
||||
if (iter == 0) {
|
||||
cudaDeviceSynchronize();
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
}
|
||||
|
||||
histogram64(d_Histogram, d_Data, byteCount);
|
||||
}
|
||||
|
||||
for (int iter = -1; iter < numRuns; iter++) {
|
||||
// iter == -1 -- warmup iteration
|
||||
if (iter == 0) {
|
||||
cudaDeviceSynchronize();
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
}
|
||||
sdkStopTimer(&hTimer);
|
||||
double dAvgSecs = 1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
|
||||
printf("histogram64() time (average) : %.5f sec, %.4f MB/sec\n\n",
|
||||
dAvgSecs,
|
||||
((double)byteCount * 1.0e-6) / dAvgSecs);
|
||||
printf("histogram64, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
|
||||
"NumDevsUsed = %u, Workgroup = %u\n",
|
||||
(1.0e-6 * (double)byteCount / dAvgSecs),
|
||||
dAvgSecs,
|
||||
byteCount,
|
||||
1,
|
||||
HISTOGRAM64_THREADBLOCK_SIZE);
|
||||
|
||||
histogram64(d_Histogram, d_Data, byteCount);
|
||||
printf("\nValidating GPU results...\n");
|
||||
printf(" ...reading back GPU results\n");
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(h_HistogramGPU, d_Histogram, HISTOGRAM64_BIN_COUNT * sizeof(uint), cudaMemcpyDeviceToHost));
|
||||
|
||||
printf(" ...histogram64CPU()\n");
|
||||
histogram64CPU(h_HistogramCPU, h_Data, byteCount);
|
||||
|
||||
printf(" ...comparing the results...\n");
|
||||
|
||||
for (uint i = 0; i < HISTOGRAM64_BIN_COUNT; i++)
|
||||
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
|
||||
PassFailFlag = 0;
|
||||
}
|
||||
|
||||
printf(PassFailFlag ? " ...64-bin histograms match\n\n" : " ***64-bin histograms do not match!!!***\n\n");
|
||||
|
||||
printf("Shutting down 64-bin histogram...\n\n\n");
|
||||
closeHistogram64();
|
||||
}
|
||||
|
||||
cudaDeviceSynchronize();
|
||||
sdkStopTimer(&hTimer);
|
||||
double dAvgSecs =
|
||||
1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
|
||||
printf("histogram64() time (average) : %.5f sec, %.4f MB/sec\n\n", dAvgSecs,
|
||||
((double)byteCount * 1.0e-6) / dAvgSecs);
|
||||
printf(
|
||||
"histogram64, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
|
||||
"NumDevsUsed = %u, Workgroup = %u\n",
|
||||
(1.0e-6 * (double)byteCount / dAvgSecs), dAvgSecs, byteCount, 1,
|
||||
HISTOGRAM64_THREADBLOCK_SIZE);
|
||||
{
|
||||
printf("Initializing 256-bin histogram...\n");
|
||||
initHistogram256();
|
||||
|
||||
printf("\nValidating GPU results...\n");
|
||||
printf(" ...reading back GPU results\n");
|
||||
checkCudaErrors(cudaMemcpy(h_HistogramGPU, d_Histogram,
|
||||
HISTOGRAM64_BIN_COUNT * sizeof(uint),
|
||||
cudaMemcpyDeviceToHost));
|
||||
printf("Running 256-bin GPU histogram for %u bytes (%u runs)...\n\n", byteCount, numRuns);
|
||||
|
||||
printf(" ...histogram64CPU()\n");
|
||||
histogram64CPU(h_HistogramCPU, h_Data, byteCount);
|
||||
for (int iter = -1; iter < numRuns; iter++) {
|
||||
// iter == -1 -- warmup iteration
|
||||
if (iter == 0) {
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
}
|
||||
|
||||
printf(" ...comparing the results...\n");
|
||||
histogram256(d_Histogram, d_Data, byteCount);
|
||||
}
|
||||
|
||||
for (uint i = 0; i < HISTOGRAM64_BIN_COUNT; i++)
|
||||
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
|
||||
PassFailFlag = 0;
|
||||
}
|
||||
cudaDeviceSynchronize();
|
||||
sdkStopTimer(&hTimer);
|
||||
double dAvgSecs = 1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
|
||||
printf("histogram256() time (average) : %.5f sec, %.4f MB/sec\n\n",
|
||||
dAvgSecs,
|
||||
((double)byteCount * 1.0e-6) / dAvgSecs);
|
||||
printf("histogram256, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
|
||||
"NumDevsUsed = %u, Workgroup = %u\n",
|
||||
(1.0e-6 * (double)byteCount / dAvgSecs),
|
||||
dAvgSecs,
|
||||
byteCount,
|
||||
1,
|
||||
HISTOGRAM256_THREADBLOCK_SIZE);
|
||||
|
||||
printf(PassFailFlag ? " ...64-bin histograms match\n\n"
|
||||
: " ***64-bin histograms do not match!!!***\n\n");
|
||||
printf("\nValidating GPU results...\n");
|
||||
printf(" ...reading back GPU results\n");
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(h_HistogramGPU, d_Histogram, HISTOGRAM256_BIN_COUNT * sizeof(uint), cudaMemcpyDeviceToHost));
|
||||
|
||||
printf("Shutting down 64-bin histogram...\n\n\n");
|
||||
closeHistogram64();
|
||||
}
|
||||
printf(" ...histogram256CPU()\n");
|
||||
histogram256CPU(h_HistogramCPU, h_Data, byteCount);
|
||||
|
||||
{
|
||||
printf("Initializing 256-bin histogram...\n");
|
||||
initHistogram256();
|
||||
printf(" ...comparing the results\n");
|
||||
|
||||
printf("Running 256-bin GPU histogram for %u bytes (%u runs)...\n\n",
|
||||
byteCount, numRuns);
|
||||
for (uint i = 0; i < HISTOGRAM256_BIN_COUNT; i++)
|
||||
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
|
||||
PassFailFlag = 0;
|
||||
}
|
||||
|
||||
for (int iter = -1; iter < numRuns; iter++) {
|
||||
// iter == -1 -- warmup iteration
|
||||
if (iter == 0) {
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
}
|
||||
printf(PassFailFlag ? " ...256-bin histograms match\n\n" : " ***256-bin histograms do not match!!!***\n\n");
|
||||
|
||||
histogram256(d_Histogram, d_Data, byteCount);
|
||||
printf("Shutting down 256-bin histogram...\n\n\n");
|
||||
closeHistogram256();
|
||||
}
|
||||
|
||||
cudaDeviceSynchronize();
|
||||
sdkStopTimer(&hTimer);
|
||||
double dAvgSecs =
|
||||
1.0e-3 * (double)sdkGetTimerValue(&hTimer) / (double)numRuns;
|
||||
printf("histogram256() time (average) : %.5f sec, %.4f MB/sec\n\n",
|
||||
dAvgSecs, ((double)byteCount * 1.0e-6) / dAvgSecs);
|
||||
printf(
|
||||
"histogram256, Throughput = %.4f MB/s, Time = %.5f s, Size = %u Bytes, "
|
||||
"NumDevsUsed = %u, Workgroup = %u\n",
|
||||
(1.0e-6 * (double)byteCount / dAvgSecs), dAvgSecs, byteCount, 1,
|
||||
HISTOGRAM256_THREADBLOCK_SIZE);
|
||||
printf("Shutting down...\n");
|
||||
sdkDeleteTimer(&hTimer);
|
||||
checkCudaErrors(cudaFree(d_Histogram));
|
||||
checkCudaErrors(cudaFree(d_Data));
|
||||
free(h_HistogramGPU);
|
||||
free(h_HistogramCPU);
|
||||
free(h_Data);
|
||||
|
||||
printf("\nValidating GPU results...\n");
|
||||
printf(" ...reading back GPU results\n");
|
||||
checkCudaErrors(cudaMemcpy(h_HistogramGPU, d_Histogram,
|
||||
HISTOGRAM256_BIN_COUNT * sizeof(uint),
|
||||
cudaMemcpyDeviceToHost));
|
||||
printf("\nNOTE: The CUDA Samples are not meant for performance measurements. "
|
||||
"Results may vary when GPU Boost is enabled.\n\n");
|
||||
|
||||
printf(" ...histogram256CPU()\n");
|
||||
histogram256CPU(h_HistogramCPU, h_Data, byteCount);
|
||||
printf("%s - Test Summary\n", sSDKsample);
|
||||
|
||||
printf(" ...comparing the results\n");
|
||||
// pass or fail (for both 64 bit and 256 bit histograms)
|
||||
if (!PassFailFlag) {
|
||||
printf("Test failed!\n");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
for (uint i = 0; i < HISTOGRAM256_BIN_COUNT; i++)
|
||||
if (h_HistogramGPU[i] != h_HistogramCPU[i]) {
|
||||
PassFailFlag = 0;
|
||||
}
|
||||
|
||||
printf(PassFailFlag ? " ...256-bin histograms match\n\n"
|
||||
: " ***256-bin histograms do not match!!!***\n\n");
|
||||
|
||||
printf("Shutting down 256-bin histogram...\n\n\n");
|
||||
closeHistogram256();
|
||||
}
|
||||
|
||||
printf("Shutting down...\n");
|
||||
sdkDeleteTimer(&hTimer);
|
||||
checkCudaErrors(cudaFree(d_Histogram));
|
||||
checkCudaErrors(cudaFree(d_Data));
|
||||
free(h_HistogramGPU);
|
||||
free(h_HistogramCPU);
|
||||
free(h_Data);
|
||||
|
||||
printf(
|
||||
"\nNOTE: The CUDA Samples are not meant for performance measurements. "
|
||||
"Results may vary when GPU Boost is enabled.\n\n");
|
||||
|
||||
printf("%s - Test Summary\n", sSDKsample);
|
||||
|
||||
// pass or fail (for both 64 bit and 256 bit histograms)
|
||||
if (!PassFailFlag) {
|
||||
printf("Test failed!\n");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
printf("Test passed\n");
|
||||
exit(EXIT_SUCCESS);
|
||||
printf("Test passed\n");
|
||||
exit(EXIT_SUCCESS);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user