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ParallelMachine.hpp

/*
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// Kokkos v. 2.0
// Copyright (2014) Sandia Corporation
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#error "ParallelMachine"
#ifndef PARALLELMACHINE_HPP
#define PARALLELMACHINE_HPP
//------------------------------------------------------------------------
#include <iosfwd>
#include <Kokkos_Core.hpp>
//------------------------------------------------------------------------
#if defined( KOKKOS_HAVE_MPI )
#include <mpi.h>
#else
typedef int MPI_Comm ;
#endif
//------------------------------------------------------------------------
//------------------------------------------------------------------------
namespace Parallel {
/** \brief Hybrid parallel machine with MPI+Kokkos::Threads or MPI+Kokkos::Cuda.
*
* Initialization of MPI and Kokkos device has interdependencies which this
* class manages. The command line and environment variables are queried to initialize
* the Threads or Cuda device:
*
* 1) cuda : initializes Cuda device
* 2) host : initializes Threads device with all hwloc detected cores.
* 3) host #gang #worker : initializes Threads with specified
*/
class Machine {
private:
MPI_Comm m_mpi_comm ;
int m_mpi_size ;
int m_mpi_rank ;
unsigned m_mpi_gpu ;
unsigned m_gpu_arch ;
Machine();
Machine( const Machine & );
Machine & operator = ( const Machine & );
public:
/** \brief Coordinated initialize MPI, Cuda, or Threads devices from 'main'. */
Machine( int * argc , char *** argv );
~Machine();
MPI_Comm mpi_comm() const { return m_mpi_comm ; }
int mpi_size() const { return m_mpi_size ; }
int mpi_rank() const { return m_mpi_rank ; }
/** \brief If using MPI that can directly operate on GPU memory */
bool mpi_gpu() const { return m_mpi_gpu ; }
/** \brief If using GPU then what architecture */
unsigned gpu_arch() const { return m_gpu_arch ; }
void print_configuration( std::ostream & ) const ;
};
}
//------------------------------------------------------------------------
#endif /* #ifndef PARALLELMACHINE_HPP */

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