git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12370 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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lib/kokkos/core/src/Kokkos_Serial.hpp
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lib/kokkos/core/src/Kokkos_Serial.hpp
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/*
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//@HEADER
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// ************************************************************************
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//
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// Kokkos: Manycore Performance-Portable Multidimensional Arrays
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// Copyright (2012) 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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/// \file Kokkos_Serial.hpp
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/// \brief Declaration and definition of Kokkos::Serial device.
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#ifndef KOKKOS_SERIAL_HPP
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#define KOKKOS_SERIAL_HPP
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#include <cstddef>
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#include <iosfwd>
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#include <Kokkos_Parallel.hpp>
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#include <Kokkos_Layout.hpp>
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#include <Kokkos_HostSpace.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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/*--------------------------------------------------------------------------*/
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namespace Kokkos {
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/// \class Serial
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/// \brief Kokkos device for non-parallel execution
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///
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/// A "device" 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 device uses Pthreads or
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/// C++11 threads on a CPU, the OpenMP device uses the OpenMP language
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/// extensions, and the Cuda device uses NVIDIA's CUDA programming
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/// model. The Serial device executes "parallel" kernels
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/// sequentially. This is useful if you really do not want to use
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/// threads, or if you want to explore different combinations of MPI
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/// and shared-memory parallel programming models.
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class Serial {
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public:
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//! \name Type declarations that all Kokkos devices must provide.
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//@{
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//! The tag (what type of kokkos_object is this).
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typedef Impl::ExecutionSpaceTag kokkos_tag ;
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//! The device type (same as this class).
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typedef Serial device_type ;
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typedef Serial execution_space ;
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//! The size_type typedef best suited for this device.
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typedef HostSpace::size_type size_type ;
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//! This device's preferred memory space.
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typedef HostSpace memory_space ;
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//! This device's preferred array layout.
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typedef LayoutRight array_layout ;
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/// \brief This device's host mirror type.
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///
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/// Serial is a host device, so the host mirror type is the same as
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/// the device type itself.
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typedef Serial host_mirror_device_type ;
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/// \brief Scratch memory space
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typedef ScratchMemorySpace< Kokkos::Serial > scratch_memory_space ;
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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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///
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/// For the Serial device, this method <i>always</i> returns false,
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/// because parallel_for or parallel_reduce with the Serial device
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/// always execute sequentially.
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inline static int in_parallel() { return false ; }
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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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static void initialize( unsigned threads_count = 1 ,
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unsigned use_numa_count = 0 ,
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unsigned use_cores_per_numa = 0 ,
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bool allow_asynchronous_threadpool = false) {
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(void) threads_count;
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(void) use_numa_count;
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(void) use_cores_per_numa;
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(void) allow_asynchronous_threadpool;
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}
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static int is_initialized() { return 1 ; }
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//! Free any resources being consumed by the device.
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static void finalize() {}
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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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inline static int thread_pool_size( int = 0 ) { return 1 ; }
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KOKKOS_INLINE_FUNCTION static int thread_pool_rank() { return 0 ; }
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//--------------------------------------------------------------------------
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inline static unsigned hardware_thread_id() { return thread_pool_rank(); }
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inline static unsigned max_hardware_threads() { return thread_pool_size(0); }
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static inline int team_max() { return thread_pool_size(1) ; }
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static inline int team_recommended() { return thread_pool_size(2); }
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//--------------------------------------------------------------------------
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static void * scratch_memory_resize( unsigned reduce_size , unsigned shared_size );
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//--------------------------------------------------------------------------
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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::Serial::memory_space
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, Kokkos::Serial::scratch_memory_space
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>
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{
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inline static void verify( void ) { }
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inline static void verify( const void * ) { }
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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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namespace Kokkos {
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namespace Impl {
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class SerialTeamMember {
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private:
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typedef Kokkos::ScratchMemorySpace< Kokkos::Serial > scratch_memory_space ;
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const scratch_memory_space m_space ;
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const int m_league_rank ;
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const int m_league_size ;
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SerialTeamMember & operator = ( const SerialTeamMember & );
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public:
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KOKKOS_INLINE_FUNCTION
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const scratch_memory_space & team_shmem() const { return m_space ; }
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KOKKOS_INLINE_FUNCTION int league_rank() const { return m_league_rank ; }
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KOKKOS_INLINE_FUNCTION int league_size() const { return m_league_size ; }
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KOKKOS_INLINE_FUNCTION int team_rank() const { return 0 ; }
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KOKKOS_INLINE_FUNCTION int team_size() const { return 1 ; }
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KOKKOS_INLINE_FUNCTION void team_barrier() const {}
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/** \brief Intra-team exclusive prefix sum with team_rank() ordering
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* with intra-team non-deterministic ordering accumulation.
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*
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* The global inter-team accumulation value will, at the end of the
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* league's parallel execution, be the scan's total.
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* Parallel execution ordering of the league's teams is non-deterministic.
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* As such the base value for each team's scan operation is similarly
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* non-deterministic.
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*/
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template< typename Type >
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KOKKOS_INLINE_FUNCTION Type team_scan( const Type & value , Type * const global_accum ) const
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{
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const Type tmp = global_accum ? *global_accum : Type(0) ;
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if ( global_accum ) { *global_accum += value ; }
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return tmp ;
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}
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/** \brief Intra-team exclusive prefix sum with team_rank() ordering.
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*
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* The highest rank thread can compute the reduction total as
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* reduction_total = dev.team_scan( value ) + value ;
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*/
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template< typename Type >
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KOKKOS_INLINE_FUNCTION Type team_scan( const Type & ) const
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{ return Type(0); }
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//----------------------------------------
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// Execution space specific:
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SerialTeamMember( int arg_league_rank
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, int arg_league_size
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, int arg_shared_size
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);
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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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namespace Kokkos {
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template < class WorkArgTag >
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class TeamPolicy< Kokkos::Serial , WorkArgTag > {
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private:
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const int m_league_size ;
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public:
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typedef Impl::ExecutionPolicyTag kokkos_tag ; ///< Concept tag
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typedef Kokkos::Serial execution_space ; ///< Execution space
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inline int team_size() const { return 1 ; }
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inline int league_size() const { return m_league_size ; }
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/** \brief Specify league size, request team size */
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TeamPolicy( execution_space & , int league_size_request , int /* team_size_request */ )
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: m_league_size( league_size_request )
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{ }
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TeamPolicy( int league_size_request , int /* team_size_request */ )
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: m_league_size( league_size_request )
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{ }
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template< class FunctorType >
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inline static
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int team_size_max( const FunctorType & ) { return 1 ; }
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typedef Impl::SerialTeamMember member_type ;
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};
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} /* namespace Kokkos */
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namespace Kokkos {
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namespace Impl {
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template< class FunctorType , typename IntType , unsigned P >
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class ParallelFor< FunctorType
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, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
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, Kokkos::Serial
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>
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{
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public:
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typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
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ParallelFor( const FunctorType & functor
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, const Policy & policy )
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{
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const typename Policy::member_type e = policy.end();
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for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
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functor( i );
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}
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}
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};
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template< class FunctorType , typename IntType , unsigned P >
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class ParallelReduce< FunctorType
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, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
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, Kokkos::Serial
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>
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{
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public:
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typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
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typedef ReduceAdapter< FunctorType > Reduce ;
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typedef typename Reduce::pointer_type pointer_type ;
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template< class ViewType >
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ParallelReduce( const FunctorType & functor
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, const Policy & policy
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, const ViewType & result
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, const typename enable_if<
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( is_view< ViewType >::value &&
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is_same< typename ViewType::memory_space , HostSpace >::value
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)>::type * = 0
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)
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{
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pointer_type result_ptr = result.ptr_on_device();
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if ( ! result_ptr ) {
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result_ptr = (pointer_type)
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Kokkos::Serial::scratch_memory_resize( Reduce::value_size( functor ) , 0 );
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}
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typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
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const typename Policy::member_type e = policy.end();
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for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
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functor( i , update );
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}
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Reduce::final( functor , result_ptr );
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}
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};
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template< class FunctorType , typename IntType , unsigned P >
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class ParallelScan< FunctorType
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, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
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, Kokkos::Serial
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>
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{
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public:
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typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
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typedef ReduceAdapter< FunctorType > Reduce ;
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typedef typename Reduce::pointer_type pointer_type ;
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ParallelScan( const FunctorType & functor
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, const Policy & policy
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)
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{
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pointer_type result_ptr = (pointer_type)
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Kokkos::Serial::scratch_memory_resize( Reduce::value_size( functor ) , 0 );
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typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
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const typename Policy::member_type e = policy.end();
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for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
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functor( i , update , true );
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}
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Reduce::final( functor , result_ptr );
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}
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};
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//----------------------------------------------------------------------------
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template< class FunctorType >
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class ParallelFor< FunctorType , Kokkos::TeamPolicy< Kokkos::Serial , void > , Kokkos::Serial >
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{
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public:
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typedef Kokkos::TeamPolicy< Kokkos::Serial , void > Policy ;
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ParallelFor( const FunctorType & functor
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, const Policy & policy )
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{
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const int shared_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
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Kokkos::Serial::scratch_memory_resize( 0 , shared_size );
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for ( int ileague = 0 ; ileague < policy.league_size() ; ++ileague ) {
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functor( typename Policy::member_type(ileague,policy.league_size(),shared_size) );
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}
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}
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};
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template< class FunctorType >
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class ParallelReduce< FunctorType , Kokkos::TeamPolicy< Kokkos::Serial , void > , Kokkos::Serial > {
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public:
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typedef Kokkos::TeamPolicy< Kokkos::Serial , void > Policy ;
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typedef ReduceAdapter< FunctorType > Reduce ;
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typedef typename Reduce::pointer_type pointer_type ;
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template< class ViewType >
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ParallelReduce( const FunctorType & functor
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, const Policy & policy
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, const ViewType & result
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)
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{
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const int reduce_size = Reduce::value_size( functor );
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const int shared_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
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void * const scratch_reduce = Kokkos::Serial::scratch_memory_resize( reduce_size , shared_size );
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const pointer_type result_ptr =
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result.ptr_on_device() ? result.ptr_on_device()
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: (pointer_type) scratch_reduce ;
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typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
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for ( int ileague = 0 ; ileague < policy.league_size() ; ++ileague ) {
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functor( typename Policy::member_type(ileague,policy.league_size(),shared_size) , update );
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}
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Reduce::final( functor , result_ptr );
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}
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};
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} // namespace Impl
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} // namespace Kokkos
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#endif /* #define KOKKOS_SERIAL_HPP */
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//----------------------------------------------------------------------------
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//----------------------------------------------------------------------------
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