Updating Kokkos lib
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15556 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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lib/kokkos/core/src/Kokkos_Cuda.hpp
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lib/kokkos/core/src/Kokkos_Cuda.hpp
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/*
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//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 2.0
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// Copyright (2014) Sandia Corporation
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//
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// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// the U.S. Government retains certain rights in this software.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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//
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// 3. Neither the name of the Corporation nor the names of the
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
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//
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// ************************************************************************
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//@HEADER
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*/
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#ifndef KOKKOS_CUDA_HPP
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#define KOKKOS_CUDA_HPP
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#include <Kokkos_Core_fwd.hpp>
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// If CUDA execution space is enabled then use this header file.
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#if defined( KOKKOS_HAVE_CUDA )
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#include <iosfwd>
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#include <vector>
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#include <Kokkos_CudaSpace.hpp>
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#include <Kokkos_Parallel.hpp>
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#include <Kokkos_TaskPolicy.hpp>
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#include <Kokkos_Layout.hpp>
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#include <Kokkos_ScratchSpace.hpp>
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#include <Kokkos_MemoryTraits.hpp>
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#include <impl/Kokkos_Tags.hpp>
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#include <KokkosExp_MDRangePolicy.hpp>
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/*--------------------------------------------------------------------------*/
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namespace Kokkos {
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namespace Impl {
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class CudaExec ;
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} // namespace Impl
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} // namespace Kokkos
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/*--------------------------------------------------------------------------*/
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namespace Kokkos {
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/// \class Cuda
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/// \brief Kokkos Execution Space that uses CUDA to run on GPUs.
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///
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/// An "execution space" represents a parallel execution model. It tells Kokkos
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/// how to parallelize the execution of kernels in a parallel_for or
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/// parallel_reduce. For example, the Threads execution space uses Pthreads or
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/// C++11 threads on a CPU, the OpenMP execution space uses the OpenMP language
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/// extensions, and the Serial execution space executes "parallel" kernels
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/// sequentially. The Cuda execution space uses NVIDIA's CUDA programming
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/// model to execute kernels in parallel on GPUs.
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class Cuda {
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public:
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//! \name Type declarations that all Kokkos execution spaces must provide.
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//@{
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//! Tag this class as a kokkos execution space
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typedef Cuda execution_space ;
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#if defined( KOKKOS_USE_CUDA_UVM )
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//! This execution space's preferred memory space.
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typedef CudaUVMSpace memory_space ;
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#else
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//! This execution space's preferred memory space.
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typedef CudaSpace memory_space ;
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#endif
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//! This execution space preferred device_type
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typedef Kokkos::Device<execution_space,memory_space> device_type;
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//! The size_type best suited for this execution space.
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typedef memory_space::size_type size_type ;
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//! This execution space's preferred array layout.
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typedef LayoutLeft array_layout ;
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//!
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typedef ScratchMemorySpace< Cuda > scratch_memory_space ;
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//@}
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//--------------------------------------------------
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//! \name Functions that all Kokkos devices must implement.
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//@{
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/// \brief True if and only if this method is being called in a
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/// thread-parallel function.
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KOKKOS_INLINE_FUNCTION static int in_parallel() {
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#if defined( __CUDA_ARCH__ )
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return true;
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#else
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return false;
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#endif
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}
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/** \brief Set the device in a "sleep" state.
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*
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* This function sets the device in a "sleep" state in which it is
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* not ready for work. This may consume less resources than if the
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* device were in an "awake" state, but it may also take time to
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* bring the device from a sleep state to be ready for work.
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*
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* \return True if the device is in the "sleep" state, else false if
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* the device is actively working and could not enter the "sleep"
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* state.
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*/
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static bool sleep();
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/// \brief Wake the device from the 'sleep' state so it is ready for work.
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///
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/// \return True if the device is in the "ready" state, else "false"
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/// if the device is actively working (which also means that it's
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/// awake).
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static bool wake();
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/// \brief Wait until all dispatched functors complete.
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///
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/// The parallel_for or parallel_reduce dispatch of a functor may
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/// return asynchronously, before the functor completes. This
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/// method does not return until all dispatched functors on this
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/// device have completed.
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static void fence();
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//! Free any resources being consumed by the device.
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static void finalize();
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//! Has been initialized
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static int is_initialized();
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/** \brief Return the maximum amount of concurrency. */
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static int concurrency();
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//! Print configuration information to the given output stream.
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static void print_configuration( std::ostream & , const bool detail = false );
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//@}
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//--------------------------------------------------
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//! \name Cuda space instances
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~Cuda() {}
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Cuda();
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explicit Cuda( const int instance_id );
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Cuda( Cuda && ) = default ;
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Cuda( const Cuda & ) = default ;
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Cuda & operator = ( Cuda && ) = default ;
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Cuda & operator = ( const Cuda & ) = default ;
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//--------------------------------------------------------------------------
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//! \name Device-specific functions
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//@{
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struct SelectDevice {
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int cuda_device_id ;
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SelectDevice() : cuda_device_id(0) {}
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explicit SelectDevice( int id ) : cuda_device_id( id ) {}
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};
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//! Initialize, telling the CUDA run-time library which device to use.
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static void initialize( const SelectDevice = SelectDevice()
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, const size_t num_instances = 1 );
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/// \brief Cuda device architecture of the selected device.
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///
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/// This matches the __CUDA_ARCH__ specification.
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static size_type device_arch();
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//! Query device count.
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static size_type detect_device_count();
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/** \brief Detect the available devices and their architecture
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* as defined by the __CUDA_ARCH__ specification.
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*/
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static std::vector<unsigned> detect_device_arch();
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cudaStream_t cuda_stream() const { return m_stream ; }
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int cuda_device() const { return m_device ; }
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//@}
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//--------------------------------------------------------------------------
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private:
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cudaStream_t m_stream ;
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int m_device ;
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};
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} // namespace Kokkos
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/*--------------------------------------------------------------------------*/
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/*--------------------------------------------------------------------------*/
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namespace Kokkos {
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namespace Impl {
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template<>
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struct VerifyExecutionCanAccessMemorySpace
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< Kokkos::CudaSpace
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, Kokkos::Cuda::scratch_memory_space
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>
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{
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enum { value = true };
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KOKKOS_INLINE_FUNCTION static void verify( void ) { }
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KOKKOS_INLINE_FUNCTION static void verify( const void * ) { }
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};
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template<>
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struct VerifyExecutionCanAccessMemorySpace
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< Kokkos::HostSpace
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, Kokkos::Cuda::scratch_memory_space
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>
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{
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enum { value = false };
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inline static void verify( void ) { CudaSpace::access_error(); }
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inline static void verify( const void * p ) { CudaSpace::access_error(p); }
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};
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} // namespace Impl
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} // namespace Kokkos
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/*--------------------------------------------------------------------------*/
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/*--------------------------------------------------------------------------*/
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#include <Cuda/Kokkos_CudaExec.hpp>
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#include <Cuda/Kokkos_Cuda_View.hpp>
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#include <Cuda/KokkosExp_Cuda_View.hpp>
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#include <Cuda/Kokkos_Cuda_Parallel.hpp>
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#include <Cuda/Kokkos_Cuda_Task.hpp>
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//----------------------------------------------------------------------------
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#endif /* #if defined( KOKKOS_HAVE_CUDA ) */
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#endif /* #ifndef KOKKOS_CUDA_HPP */
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