TestCuda.cpp

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//
//                           Stokhos Package
//                 Copyright (2009) Sandia Corporation
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// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
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// it under the terms of the GNU Lesser General Public License as
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#include "TestStochastic.hpp"
 
#include "Kokkos_Core.hpp"
 
#include "Stokhos_Cuda_CrsMatrix.hpp"
#include "Stokhos_Cuda_BlockCrsMatrix.hpp"
#include "Stokhos_Cuda_StochasticProductTensor.hpp"
#include "Stokhos_Cuda_SymmetricDiagonalSpec.hpp"
#include "Stokhos_Cuda_CrsProductTensor.hpp"
#include "Stokhos_Cuda_TiledCrsProductTensor.hpp"
#include "Stokhos_Cuda_SimpleTiledCrsProductTensor.hpp"
#include "Stokhos_Cuda_CooProductTensor.hpp"
#include "Stokhos_Cuda_FlatSparse3Tensor.hpp"
#include "Stokhos_Cuda_FlatSparse3Tensor_kji.hpp"
#include "Stokhos_Cuda_LexicographicBlockSparse3Tensor.hpp"
#include "Stokhos_Cuda_LinearSparse3Tensor.hpp"
 
namespace unit_test {
 
template<typename Scalar>
struct performance_test_driver<Scalar,Kokkos::Cuda> {
  static void run(bool test_flat, bool test_orig, bool test_lin,
                  bool test_block, bool symmetric) {
    typedef Kokkos::Cuda Device;
 
    int nGrid;
    int nIter;
 
    // All methods compared against flat-original
    if (test_flat) {
      nGrid = 5 ;
      nIter = 1 ;
      performance_test_driver_all<Scalar,Device>(
        3 , 1 ,  9 , nGrid , nIter , test_block , symmetric );
      performance_test_driver_all<Scalar,Device>(
        5 , 1 ,  5 , nGrid , nIter , test_block , symmetric );
    }
 
    // Just polynomial methods compared against original
    if (test_orig) {
      nGrid = 32 ;
      nIter = 1 ;
      performance_test_driver_poly<Scalar,Device,Stokhos::DefaultMultiply>(
        3 , 1 , 12 , nGrid , nIter , test_block , symmetric );
      performance_test_driver_poly<Scalar,Device,Stokhos::DefaultMultiply>(
        5 , 1 ,  6 , nGrid , nIter , test_block , symmetric );
    }
 
     // Just polynomial methods compared against original
    if (test_lin) {
      nGrid = 32 ;
      nIter = 10 ;
      performance_test_driver_linear<Scalar,Device,Stokhos::DefaultMultiply>(
        31 ,  255 , 32 , nGrid , nIter , test_block , symmetric );
    }
 
  }
 
};
 
}
 
template <typename Scalar>
int mainCuda(bool test_flat, bool test_orig, bool test_lin, bool test_block,
             bool symmetric, int device_id)
{
  typedef unsigned long long int IntType ;
 
  Kokkos::InitializationSettings init_args;
  init_args.set_device_id(device_id);
  Kokkos::initialize( init_args );
  Kokkos::print_configuration( std::cout );
 
  cudaDeviceProp deviceProp;
  cudaGetDeviceProperties(&deviceProp, device_id);
  std::cout << std::endl
            << "Device " << device_id << ": " << deviceProp.name
            << std::endl;
 
  cudaDeviceSetSharedMemConfig(cudaSharedMemBankSizeEightByte);
 
  std::cout << std::endl << "\"Cuda Performance\"" << std::endl ;
  unit_test::performance_test_driver<Scalar,Kokkos::Cuda>::run(
    test_flat, test_orig, test_lin, test_block, symmetric);
 
  Kokkos::finalize();
 
  cudaDeviceReset();
 
  return 0 ;
}
 
template int mainCuda<float>(bool, bool, bool, bool, bool, int);
template int mainCuda<double>(bool, bool, bool, bool, bool, int);