ICODE-ADC/lammps
4
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12369 f3b2605a-c512-4ea7-a41b-209d697bcdaa

Browse Source
This commit is contained in:
sjplimp
2014-08-27 17:07:19 +00:00
parent 71f5c17f67
commit 222d9ee151
135 changed files with 0 additions and 52569 deletions
Download Patch File Download Diff File Expand all files Collapse all files

240
lib/kokkos/core/src/Kokkos_Serial.hpp
View File

@ -1,240 +0,0 @@
/*
//@HEADER
// ************************************************************************
//
// Kokkos: Manycore Performance-Portable Multidimensional Arrays
// Copyright (2012) 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
*/
/// \file Kokkos_Serial.hpp
/// \brief Declaration and definition of Kokkos::Serial device.
#ifndef KOKKOS_SERIAL_HPP
#define KOKKOS_SERIAL_HPP
#include <cstddef>
#include <iosfwd>
#include <Kokkos_Parallel.hpp>
#include <Kokkos_Layout.hpp>
#include <Kokkos_HostSpace.hpp>
#include <Kokkos_MemoryTraits.hpp>
/*--------------------------------------------------------------------------*/
namespace Kokkos {
/// \class Serial
/// \brief Kokkos device for non-parallel execution
///
/// A "device" represents a parallel execution model. It tells Kokkos
/// how to parallelize the execution of kernels in a parallel_for or
/// parallel_reduce. For example, the Threads device uses Pthreads or
/// C++11 threads on a CPU, the OpenMP device uses the OpenMP language
/// extensions, and the Cuda device uses NVIDIA's CUDA programming
/// model. The Serial device executes "parallel" kernels
/// sequentially. This is useful if you really do not want to use
/// threads, or if you want to explore different combinations of MPI
/// and shared-memory parallel programming models.
class Serial {
public:
//! \name Type declarations that all Kokkos devices must provide.
//@{
//! The device type (same as this class).
typedef Serial device_type ;
//! The size_type typedef best suited for this device.
typedef HostSpace::size_type size_type ;
//! This device's preferred memory space.
typedef HostSpace memory_space ;
//! This device's preferred array layout.
typedef LayoutRight array_layout ;
/// \brief This device's host mirror type.
///
/// Serial is a host device, so the host mirror type is the same as
/// the device type itself.
typedef Serial host_mirror_device_type ;
//@}
/// \brief True if and only if this method is being called in a
/// thread-parallel function.
///
/// For the Serial device, this method <i>always</i> returns false,
/// because parallel_for or parallel_reduce with the Serial device
/// always execute sequentially.
inline static int in_parallel() { return false ; }
/** \brief Set the device in a "sleep" state.
*
* This function sets the device in a "sleep" state in which it is
* not ready for work. This may consume less resources than if the
* device were in an "awake" state, but it may also take time to
* bring the device from a sleep state to be ready for work.
*
* \return True if the device is in the "sleep" state, else false if
* the device is actively working and could not enter the "sleep"
* state.
*/
static bool sleep();
/// \brief Wake the device from the 'sleep' state so it is ready for work.
///
/// \return True if the device is in the "ready" state, else "false"
/// if the device is actively working (which also means that it's
/// awake).
static bool wake();
/// \brief Wait until all dispatched functors complete.
///
/// The parallel_for or parallel_reduce dispatch of a functor may
/// return asynchronously, before the functor completes. This
/// method does not return until all dispatched functors on this
/// device have completed.
static void fence() {}
static void initialize( unsigned threads_count = 1 ,
unsigned use_numa_count = 0 ,
unsigned use_cores_per_numa = 0 ,
bool allow_asynchronous_threadpool = false) {}
static int is_initialized() { return 1 ; }
//! Free any resources being consumed by the device.
static void finalize() {}
//! Print configuration information to the given output stream.
static void print_configuration( std::ostream & , const bool detail = false );
inline int league_rank() const { return 0 ; }
inline int league_size() const { return 1 ; }
inline int team_rank() const { return 0 ; }
inline int team_size() const { return 1 ; }
inline void team_barrier() {}
inline std::pair<size_t,size_t> work_range( size_t n ) const
{ return std::pair<size_t,size_t>(0,n); }
template< typename T >
inline T * get_shmem( const int count );
static void * resize_reduce_scratch( const unsigned );
};
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
//----------------------------------------------------------------------------
//TODO: Needs constructor for Kokkos::ParallelWorkRequest CRT
template< class FunctorType , class WorkSpec >
class ParallelFor< FunctorType , WorkSpec , Serial > {
public:
ParallelFor( const FunctorType & functor , const size_t work_count )
{
for ( size_t iwork = 0 ; iwork < work_count ; ++iwork ) {
functor( iwork );
}
}
};
template< class FunctorType , class WorkSpec >
class ParallelReduce< FunctorType , WorkSpec , Serial > {
public:
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
ParallelReduce( const FunctorType & functor ,
const size_t work_count ,
pointer_type result = 0 )
{
if ( 0 == result ) {
result = (pointer_type ) Serial::resize_reduce_scratch( Reduce::value_size( functor ) );
}
functor.init( Reduce::reference( result ) );
for ( size_t iwork = 0 ; iwork < work_count ; ++iwork ) {
functor( iwork , Reduce::reference( result ) );
}
Reduce::final( functor , result );
}
void wait() {}
};
template< class FunctorType , class WorkSpec >
class ParallelScan< FunctorType , WorkSpec , Kokkos::Serial >
{
public:
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
inline
ParallelScan( const FunctorType & functor , const size_t work_count )
{
pointer_type result = (pointer_type ) Serial::resize_reduce_scratch( Reduce::value_size( functor ) );
functor.init( Reduce::reference( result ) );
for ( size_t iwork = 0 ; iwork < work_count ; ++iwork ) {
functor( iwork , Reduce::reference( result ) , true );
}
}
void wait() {}
};
//----------------------------------------------------------------------------
} // namespace Impl
} // namespace Kokkos
#endif /* #define KOKKOS_SERIAL_HPP */
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------