/* //@HEADER // ************************************************************************ // // Kokkos v. 2.0 // Copyright (2014) Sandia Corporation // // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, // the U.S. Government retains certain rights in this software. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // 1. Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // 2. 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. // // 3. Neither the name of the Corporation nor the names of the // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE // 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. // // Questions? Contact H. Carter Edwards (hcedwar@sandia.gov) // // ************************************************************************ //@HEADER */ #include #include #include #include #include #if defined( KOKKOS_ENABLE_CUDA ) #include #include #include #include #include #include namespace Test { class cuda : public ::testing::Test { protected: static void SetUpTestCase() { Kokkos::HostSpace::execution_space::initialize(); Kokkos::Cuda::initialize( Kokkos::Cuda::SelectDevice(0) ); } static void TearDownTestCase() { Kokkos::Cuda::finalize(); Kokkos::HostSpace::execution_space::finalize(); } }; //TEST_F( cuda, mdrange_lr ) { // EXPECT_NO_THROW( (run_test_mdrange( 5, 8, "Kokkos::Cuda" )) ); //} //TEST_F( cuda, mdrange_ll ) { // EXPECT_NO_THROW( (run_test_mdrange( 5, 8, "Kokkos::Cuda" )) ); //} TEST_F( cuda, hexgrad ) { EXPECT_NO_THROW( run_test_hexgrad< Kokkos::Cuda >( 10 , 20, "Kokkos::Cuda" ) ); } TEST_F( cuda, gramschmidt ) { EXPECT_NO_THROW( run_test_gramschmidt< Kokkos::Cuda >( 10 , 20, "Kokkos::Cuda" ) ); } namespace { template struct TextureFetch { typedef Kokkos::View< T *, Kokkos::CudaSpace> array_type; typedef Kokkos::View< const T *, Kokkos::CudaSpace, Kokkos::MemoryRandomAccess> const_array_type; typedef Kokkos::View< int *, Kokkos::CudaSpace> index_array_type; typedef Kokkos::View< const int *, Kokkos::CudaSpace> const_index_array_type; struct FillArray { array_type m_array; FillArray( const array_type & array ) : m_array(array) {} void apply() const { Kokkos::parallel_for( Kokkos::RangePolicy(0,m_array.dimension_0()), *this); } KOKKOS_INLINE_FUNCTION void operator()(int i) const { m_array(i) = i; } }; struct RandomIndexes { index_array_type m_indexes; typename index_array_type::HostMirror m_host_indexes; RandomIndexes( const index_array_type & indexes) : m_indexes(indexes) , m_host_indexes(Kokkos::create_mirror(m_indexes)) {} void apply() const { Kokkos::parallel_for( Kokkos::RangePolicy(0,m_host_indexes.dimension_0()), *this); //random shuffle Kokkos::HostSpace::execution_space::fence(); std::random_shuffle(m_host_indexes.ptr_on_device(), m_host_indexes.ptr_on_device() + m_host_indexes.dimension_0()); Kokkos::deep_copy(m_indexes,m_host_indexes); } KOKKOS_INLINE_FUNCTION void operator()(int i) const { m_host_indexes(i) = i; } }; struct RandomReduce { const_array_type m_array; const_index_array_type m_indexes; RandomReduce( const const_array_type & array, const const_index_array_type & indexes) : m_array(array) , m_indexes(indexes) {} void apply(T & reduce) const { Kokkos::parallel_reduce( Kokkos::RangePolicy(0,m_array.dimension_0()), *this, reduce); } KOKKOS_INLINE_FUNCTION void operator()(int i, T & reduce) const { reduce += m_array(m_indexes(i)); } }; static void run(int size, double & reduce_time, T &reduce) { array_type array("array",size); index_array_type indexes("indexes",size); { FillArray f(array); f.apply(); } { RandomIndexes f(indexes); f.apply(); } Kokkos::Cuda::fence(); Kokkos::Timer timer; for (int j=0; j<10; ++j) { RandomReduce f(array,indexes); f.apply(reduce); } Kokkos::Cuda::fence(); reduce_time = timer.seconds(); } }; } // unnamed namespace TEST_F( cuda, texture_double ) { printf("Random reduce of double through texture fetch\n"); for (int i=1; i<=26; ++i) { int size = 1<::run(size,time,reduce); printf(" time = %1.3e size = 2^%d\n", time, i); } } } // namespace Test #endif /* #if defined( KOKKOS_ENABLE_CUDA ) */