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tools/cub-1.8.0/examples/device/example_device_reduce.cu 5.69 KB
8dcb6dfcb   Yannick Estève   first commit
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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;
  }