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tools/cub-1.8.0/examples/device/example_device_reduce.cu
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/****************************************************************************** * Copyright (c) 2011, Duane Merrill. All rights reserved. * Copyright (c) 2011-2018, 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 the 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 AND CONTRIBUTORS "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 NVIDIA CORPORATION 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. * ******************************************************************************/ /****************************************************************************** * Simple example of DeviceReduce::Sum(). * * Sums an array of int keys. * * To compile using the command line: * nvcc -arch=sm_XX example_device_reduce.cu -I../.. -lcudart -O3 * ******************************************************************************/ // Ensure printing of CUDA runtime errors to console #define CUB_STDERR #include <stdio.h> #include <cub/util_allocator.cuh> #include <cub/device/device_reduce.cuh> #include "../../test/test_util.h" using namespace cub; //--------------------------------------------------------------------- // Globals, constants and typedefs //--------------------------------------------------------------------- bool g_verbose = false; // Whether to display input/output to console CachingDeviceAllocator g_allocator(true); // Caching allocator for device memory //--------------------------------------------------------------------- // Test generation //--------------------------------------------------------------------- /** * Initialize problem */ void Initialize( int *h_in, int num_items) { for (int i = 0; i < num_items; ++i) h_in[i] = i; if (g_verbose) { printf("Input: "); DisplayResults(h_in, num_items); printf(" "); } } /** * Compute solution */ void Solve( int *h_in, int &h_reference, int num_items) { for (int i = 0; i < num_items; ++i) { if (i == 0) h_reference = h_in[0]; else h_reference += h_in[i]; } } //--------------------------------------------------------------------- // Main //--------------------------------------------------------------------- /** * Main */ int main(int argc, char** argv) { int num_items = 150; // Initialize command line CommandLineArgs args(argc, argv); g_verbose = args.CheckCmdLineFlag("v"); args.GetCmdLineArgument("n", num_items); // Print usage if (args.CheckCmdLineFlag("help")) { printf("%s " "[--n=<input items> " "[--device=<device-id>] " "[--v] " " ", argv[0]); exit(0); } // Initialize device CubDebugExit(args.DeviceInit()); printf("cub::DeviceReduce::Sum() %d items (%d-byte elements) ", num_items, (int) sizeof(int)); fflush(stdout); // Allocate host arrays int* h_in = new int[num_items]; int h_reference; // Initialize problem and solution Initialize(h_in, num_items); Solve(h_in, h_reference, num_items); // Allocate problem device arrays int *d_in = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_in, sizeof(int) * num_items)); // Initialize device input CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(int) * num_items, cudaMemcpyHostToDevice)); // Allocate device output array int *d_out = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_out, sizeof(int) * 1)); // Request and allocate temporary storage void *d_temp_storage = NULL; size_t temp_storage_bytes = 0; CubDebugExit(DeviceReduce::Sum(d_temp_storage, temp_storage_bytes, d_in, d_out, num_items)); CubDebugExit(g_allocator.DeviceAllocate(&d_temp_storage, temp_storage_bytes)); // Run CubDebugExit(DeviceReduce::Sum(d_temp_storage, temp_storage_bytes, d_in, d_out, num_items)); // Check for correctness (and display results, if specified) int compare = CompareDeviceResults(&h_reference, d_out, 1, g_verbose, g_verbose); printf("\t%s", compare ? "FAIL" : "PASS"); AssertEquals(0, compare); // Cleanup if (h_in) delete[] h_in; if (d_in) CubDebugExit(g_allocator.DeviceFree(d_in)); if (d_out) CubDebugExit(g_allocator.DeviceFree(d_out)); if (d_temp_storage) CubDebugExit(g_allocator.DeviceFree(d_temp_storage)); printf(" "); return 0; } |