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lammps/lib/kokkos/core/src/OpenMP/Kokkos_OpenMP_Parallel.hpp
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Kokkos_OpenMP_Parallel.hpp
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/*
//@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
*/
#ifndef KOKKOS_OPENMP_PARALLEL_HPP
#define KOKKOS_OPENMP_PARALLEL_HPP
#include <omp.h>
#include <Kokkos_Parallel.hpp>
#include <OpenMP/Kokkos_OpenMPexec.hpp>
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
template< class FunctorType , typename IntType , unsigned P >
class ParallelFor< FunctorType
, Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P >
, Kokkos::OpenMP
>
{
public:
typedef Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P > Policy ;
inline
ParallelFor( const FunctorType & functor
, const Policy & policy )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_for");
OpenMPexec::verify_initialized("Kokkos::OpenMP parallel_for");
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
const Policy range( policy , exec.pool_rank() , exec.pool_size() );
const typename Policy::member_type work_end = range.end();
for ( typename Policy::member_type iwork = range.begin() ; iwork < work_end ; ++iwork ) {
functor( iwork );
}
}
/* END #pragma omp parallel */
}
};
} // namespace Impl
} // namespace Kokkos
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
template< class FunctorType , typename IntType , unsigned P >
class ParallelReduce< FunctorType
, Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P >
, Kokkos::OpenMP
>
{
public:
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
typedef Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P > Policy ;
template< class HostViewType >
inline
ParallelReduce( const FunctorType & functor
, const Policy & policy
, const HostViewType & result_view )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_reduce");
OpenMPexec::verify_initialized("Kokkos::OpenMP parallel_reduce");
OpenMPexec::resize_scratch( Reduce::value_size( functor ) , 0 );
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
typename Reduce::reference_type update = Reduce::init( functor , exec.scratch_reduce() );
const Policy range( policy , exec.pool_rank() , exec.pool_size() );
const typename Policy::member_type work_end = range.end();
for ( typename Policy::member_type iwork = range.begin() ; iwork < work_end ; ++iwork ) {
functor( iwork , update );
}
}
/* END #pragma omp parallel */
{
const pointer_type ptr = pointer_type( OpenMPexec::pool_rev(0)->scratch_reduce() );
for ( int i = 1 ; i < OpenMPexec::pool_size() ; ++i ) {
Reduce::join( functor , ptr , OpenMPexec::pool_rev(i)->scratch_reduce() );
}
Reduce::final( functor , ptr );
if ( result_view.ptr_on_device() ) {
const int n = Reduce::value_count( functor );
for ( int j = 0 ; j < n ; ++j ) { result_view.ptr_on_device()[j] = ptr[j] ; }
}
}
}
void wait() {}
};
} // namespace Impl
} // namespace Kokkos
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
template< class FunctorType , typename IntType , unsigned P >
class ParallelScan< FunctorType
, Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P >
, Kokkos::OpenMP
>
{
public:
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
typedef Kokkos::RangePolicy< Kokkos::OpenMP , void , IntType , P > Policy ;
inline
ParallelScan( const FunctorType & functor , const Policy & policy )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_scan");
OpenMPexec::verify_initialized("Kokkos::OpenMP parallel_scan");
OpenMPexec::resize_scratch( 2 * Reduce::value_size( functor ) , 0 );
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
const Policy range( policy , exec.pool_rank() , exec.pool_size() );
typename Reduce::reference_type update =
Reduce::init( functor ,
pointer_type( exec.scratch_reduce() ) + Reduce::value_count( functor ) );
const typename Policy::member_type work_end = range.end();
for ( typename Policy::member_type iwork = range.begin() ; iwork < work_end ; ++iwork ) {
functor( iwork , update , false );
}
}
/* END #pragma omp parallel */
{
const unsigned thread_count = OpenMPexec::pool_size();
const unsigned value_count = Reduce::value_count( functor );
pointer_type ptr_prev = 0 ;
for ( unsigned rank_rev = thread_count ; rank_rev-- ; ) {
pointer_type ptr = pointer_type( OpenMPexec::pool_rev(rank_rev)->scratch_reduce() );
if ( ptr_prev ) {
for ( unsigned i = 0 ; i < value_count ; ++i ) { ptr[i] = ptr_prev[ i + value_count ] ; }
Reduce::join( functor , ptr + value_count , ptr );
}
else {
Reduce::init( functor , ptr );
}
ptr_prev = ptr ;
}
}
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
const Policy range( policy , exec.pool_rank() , exec.pool_size() );
typename Reduce::reference_type update =
Reduce::reference( pointer_type( exec.scratch_reduce() ) );
const typename Policy::member_type work_end = range.end();
for ( typename Policy::member_type iwork = range.begin() ; iwork < work_end ; ++iwork ) {
functor( iwork , update , true );
}
}
/* END #pragma omp parallel */
}
};
} // namespace Impl
} // namespace Kokkos
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
namespace Kokkos {
namespace Impl {
template< class FunctorType >
class ParallelFor< FunctorType , Kokkos::TeamPolicy< Kokkos::OpenMP , void > , Kokkos::OpenMP >
{
public:
typedef Kokkos::TeamPolicy< Kokkos::OpenMP , void > Policy ;
inline
ParallelFor( const FunctorType & functor ,
const Policy & policy )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_for");
OpenMPexec::verify_initialized("Kokkos::OpenMP parallel_for");
const size_t team_reduce_size = Policy::member_type::team_reduce_size();
const size_t team_shmem_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
OpenMPexec::resize_scratch( 0 , team_reduce_size + team_shmem_size );
#pragma omp parallel
{
typename Policy::member_type member( * OpenMPexec::get_thread_omp() , policy , team_shmem_size );;
for ( ; member.valid() ; member.next() ) {
functor( member );
}
}
/* END #pragma omp parallel */
}
void wait() {}
};
template< class FunctorType >
class ParallelReduce< FunctorType , Kokkos::TeamPolicy< Kokkos::OpenMP , void > , Kokkos::OpenMP >
{
public:
typedef Kokkos::TeamPolicy< Kokkos::OpenMP , void > Policy ;
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
inline
ParallelReduce( const FunctorType & functor ,
const Policy & policy )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_reduce");
const size_t team_reduce_size = Policy::member_type::team_reduce_size();
const size_t team_shmem_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
OpenMPexec::resize_scratch( Reduce::value_size( functor ) , team_reduce_size + team_shmem_size );
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
typename Reduce::reference_type update = Reduce::init( functor , exec.scratch_reduce() );
for ( typename Policy::member_type member( exec , policy , team_shmem_size ); member.valid() ; member.next() ) {
functor( member , update );
}
}
/* END #pragma omp parallel */
{
const pointer_type ptr = pointer_type( OpenMPexec::pool_rev(0)->scratch_reduce() );
for ( int i = 1 ; i < OpenMPexec::pool_size() ; ++i ) {
Reduce::join( functor , ptr , OpenMPexec::pool_rev(i)->scratch_reduce() );
}
Reduce::final( functor , ptr );
}
}
template< class ViewType >
inline
ParallelReduce( const FunctorType & functor ,
const Policy & policy ,
const ViewType & result )
{
OpenMPexec::verify_is_process("Kokkos::OpenMP parallel_reduce");
const size_t team_reduce_size = Policy::member_type::team_reduce_size();
const size_t team_shmem_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
OpenMPexec::resize_scratch( Reduce::value_size( functor ) , team_reduce_size + team_shmem_size );
#pragma omp parallel
{
OpenMPexec & exec = * OpenMPexec::get_thread_omp();
typename Reduce::reference_type update = Reduce::init( functor , exec.scratch_reduce() );
for ( typename Policy::member_type member( exec , policy , team_shmem_size ); member.valid() ; member.next() ) {
functor( member , update );
}
}
/* END #pragma omp parallel */
{
const pointer_type ptr = pointer_type( OpenMPexec::pool_rev(0)->scratch_reduce() );
for ( int i = 1 ; i < OpenMPexec::pool_size() ; ++i ) {
Reduce::join( functor , ptr , OpenMPexec::pool_rev(i)->scratch_reduce() );
}
Reduce::final( functor , ptr );
const int n = Reduce::value_count( functor );
for ( int j = 0 ; j < n ; ++j ) { result.ptr_on_device()[j] = ptr[j] ; }
}
}
void wait() {}
};
} // namespace Impl
} // namespace Kokkos
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
#endif /* KOKKOS_OPENMP_PARALLEL_HPP */
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