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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
*/
/// \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_ScratchSpace.hpp>
#include <Kokkos_MemoryTraits.hpp>
#include <impl/Kokkos_Tags.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 tag (what type of kokkos_object is this).
typedef Impl::ExecutionSpaceTag kokkos_tag ;
//! The device type (same as this class).
typedef Serial device_type ;
typedef Serial execution_space ;
//! 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 Scratch memory space
typedef ScratchMemorySpace< Kokkos::Serial > scratch_memory_space ;
//@}
/// \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) {
(void) threads_count;
(void) use_numa_count;
(void) use_cores_per_numa;
(void) allow_asynchronous_threadpool;
}
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 static int thread_pool_size( int = 0 ) { return 1 ; }
KOKKOS_INLINE_FUNCTION static int thread_pool_rank() { return 0 ; }
//--------------------------------------------------------------------------
inline static unsigned hardware_thread_id() { return thread_pool_rank(); }
inline static unsigned max_hardware_threads() { return thread_pool_size(0); }
static inline int team_max() { return thread_pool_size(1) ; }
static inline int team_recommended() { return thread_pool_size(2); }
//--------------------------------------------------------------------------
static void * scratch_memory_resize( unsigned reduce_size , unsigned shared_size );
//--------------------------------------------------------------------------
};
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
template<>
struct VerifyExecutionCanAccessMemorySpace
< Kokkos::Serial::memory_space
, Kokkos::Serial::scratch_memory_space
>
{
inline static void verify( void ) { }
inline static void verify( const void * ) { }
};
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
namespace Impl {
class SerialTeamMember {
private:
typedef Kokkos::ScratchMemorySpace< Kokkos::Serial > scratch_memory_space ;
const scratch_memory_space m_space ;
const int m_league_rank ;
const int m_league_size ;
SerialTeamMember & operator = ( const SerialTeamMember & );
public:
KOKKOS_INLINE_FUNCTION
const scratch_memory_space & team_shmem() const { return m_space ; }
KOKKOS_INLINE_FUNCTION int league_rank() const { return m_league_rank ; }
KOKKOS_INLINE_FUNCTION int league_size() const { return m_league_size ; }
KOKKOS_INLINE_FUNCTION int team_rank() const { return 0 ; }
KOKKOS_INLINE_FUNCTION int team_size() const { return 1 ; }
KOKKOS_INLINE_FUNCTION void team_barrier() const {}
/** \brief Intra-team exclusive prefix sum with team_rank() ordering
* with intra-team non-deterministic ordering accumulation.
*
* The global inter-team accumulation value will, at the end of the
* league's parallel execution, be the scan's total.
* Parallel execution ordering of the league's teams is non-deterministic.
* As such the base value for each team's scan operation is similarly
* non-deterministic.
*/
template< typename Type >
KOKKOS_INLINE_FUNCTION Type team_scan( const Type & value , Type * const global_accum ) const
{
const Type tmp = global_accum ? *global_accum : Type(0) ;
if ( global_accum ) { *global_accum += value ; }
return tmp ;
}
/** \brief Intra-team exclusive prefix sum with team_rank() ordering.
*
* The highest rank thread can compute the reduction total as
* reduction_total = dev.team_scan( value ) + value ;
*/
template< typename Type >
KOKKOS_INLINE_FUNCTION Type team_scan( const Type & ) const
{ return Type(0); }
//----------------------------------------
// Execution space specific:
SerialTeamMember( int arg_league_rank
, int arg_league_size
, int arg_shared_size
);
};
} // namespace Impl
} // namespace Kokkos
/*--------------------------------------------------------------------------*/
/*--------------------------------------------------------------------------*/
namespace Kokkos {
template < class WorkArgTag >
class TeamPolicy< Kokkos::Serial , WorkArgTag > {
private:
const int m_league_size ;
public:
typedef Impl::ExecutionPolicyTag kokkos_tag ; ///< Concept tag
typedef Kokkos::Serial execution_space ; ///< Execution space
inline int team_size() const { return 1 ; }
inline int league_size() const { return m_league_size ; }
/** \brief Specify league size, request team size */
TeamPolicy( execution_space & , int league_size_request , int /* team_size_request */ )
: m_league_size( league_size_request )
{ }
TeamPolicy( int league_size_request , int /* team_size_request */ )
: m_league_size( league_size_request )
{ }
template< class FunctorType >
inline static
int team_size_max( const FunctorType & ) { return 1 ; }
typedef Impl::SerialTeamMember member_type ;
};
} /* namespace Kokkos */
namespace Kokkos {
namespace Impl {
template< class FunctorType , typename IntType , unsigned P >
class ParallelFor< FunctorType
, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
, Kokkos::Serial
>
{
public:
typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
ParallelFor( const FunctorType & functor
, const Policy & policy )
{
const typename Policy::member_type e = policy.end();
for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
functor( i );
}
}
};
template< class FunctorType , typename IntType , unsigned P >
class ParallelReduce< FunctorType
, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
, Kokkos::Serial
>
{
public:
typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
template< class ViewType >
ParallelReduce( const FunctorType & functor
, const Policy & policy
, const ViewType & result
, const typename enable_if<
( is_view< ViewType >::value &&
is_same< typename ViewType::memory_space , HostSpace >::value
)>::type * = 0
)
{
pointer_type result_ptr = result.ptr_on_device();
if ( ! result_ptr ) {
result_ptr = (pointer_type)
Kokkos::Serial::scratch_memory_resize( Reduce::value_size( functor ) , 0 );
}
typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
const typename Policy::member_type e = policy.end();
for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
functor( i , update );
}
Reduce::final( functor , result_ptr );
}
};
template< class FunctorType , typename IntType , unsigned P >
class ParallelScan< FunctorType
, Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P >
, Kokkos::Serial
>
{
public:
typedef Kokkos::RangePolicy< Kokkos::Serial , void , IntType , P > Policy ;
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
ParallelScan( const FunctorType & functor
, const Policy & policy
)
{
pointer_type result_ptr = (pointer_type)
Kokkos::Serial::scratch_memory_resize( Reduce::value_size( functor ) , 0 );
typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
const typename Policy::member_type e = policy.end();
for ( typename Policy::member_type i = policy.begin() ; i < e ; ++i ) {
functor( i , update , true );
}
Reduce::final( functor , result_ptr );
}
};
//----------------------------------------------------------------------------
template< class FunctorType >
class ParallelFor< FunctorType , Kokkos::TeamPolicy< Kokkos::Serial , void > , Kokkos::Serial >
{
public:
typedef Kokkos::TeamPolicy< Kokkos::Serial , void > Policy ;
ParallelFor( const FunctorType & functor
, const Policy & policy )
{
const int shared_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
Kokkos::Serial::scratch_memory_resize( 0 , shared_size );
for ( int ileague = 0 ; ileague < policy.league_size() ; ++ileague ) {
functor( typename Policy::member_type(ileague,policy.league_size(),shared_size) );
}
}
};
template< class FunctorType >
class ParallelReduce< FunctorType , Kokkos::TeamPolicy< Kokkos::Serial , void > , Kokkos::Serial > {
public:
typedef Kokkos::TeamPolicy< Kokkos::Serial , void > Policy ;
typedef ReduceAdapter< FunctorType > Reduce ;
typedef typename Reduce::pointer_type pointer_type ;
template< class ViewType >
ParallelReduce( const FunctorType & functor
, const Policy & policy
, const ViewType & result
)
{
const int reduce_size = Reduce::value_size( functor );
const int shared_size = FunctorTeamShmemSize< FunctorType >::value( functor , policy.team_size() );
void * const scratch_reduce = Kokkos::Serial::scratch_memory_resize( reduce_size , shared_size );
const pointer_type result_ptr =
result.ptr_on_device() ? result.ptr_on_device()
: (pointer_type) scratch_reduce ;
typename Reduce::reference_type update = Reduce::init( functor , result_ptr );
for ( int ileague = 0 ; ileague < policy.league_size() ; ++ileague ) {
functor( typename Policy::member_type(ileague,policy.league_size(),shared_size) , update );
}
Reduce::final( functor , result_ptr );
}
};
} // namespace Impl
} // namespace Kokkos
#endif /* #define KOKKOS_SERIAL_HPP */
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------