pcl_methods.h

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/*
 * Copyright (c) 2009-2015:  G-CSC, Goethe University Frankfurt
 * Author: Sebastian Reiter
 * 
 * This file is part of UG4.
 * 
 * UG4 is free software: you can redistribute it and/or modify it under the
 * terms of the GNU Lesser General Public License version 3 (as published by the
 * Free Software Foundation) with the following additional attribution
 * requirements (according to LGPL/GPL v3 §7):
 * 
 * (1) The following notice must be displayed in the Appropriate Legal Notices
 * of covered and combined works: "Based on UG4 (www.ug4.org/license)".
 * 
 * (2) The following notice must be displayed at a prominent place in the
 * terminal output of covered works: "Based on UG4 (www.ug4.org/license)".
 * 
 * (3) The following bibliography is recommended for citation and must be
 * preserved in all covered files:
 * "Reiter, S., Vogel, A., Heppner, I., Rupp, M., and Wittum, G. A massively
 *   parallel geometric multigrid solver on hierarchically distributed grids.
 *   Computing and visualization in science 16, 4 (2013), 151-164"
 * "Vogel, A., Reiter, S., Rupp, M., Nägel, A., and Wittum, G. UG4 -- a novel
 *   flexible software system for simulating pde based models on high performance
 *   computers. Computing and visualization in science 16, 4 (2013), 165-179"
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
 * GNU Lesser General Public License for more details.
 */
 
#ifndef __H__PCL_METHODS__
#define __H__PCL_METHODS__
 
#include <vector>
#include <list>
#include <iostream>
 
//  Don't rely on mpi being included.
//  It is only included to allow us to define some constants.
//  This include will most likely be removed in future versions.
#include <mpi.h>
#include "pcl_comm_world.h"
#include "pcl_base.h"
#include "common/types.h"
#include "common/profiler/profiler.h"
#include "pcl_datatype.h"
#include <cassert>
 
 
namespace pcl
{
 
 
typedef int ProcID;
 
//  ReduceOperation
#define PCL_RO_MAX    MPI_MAX
#define PCL_RO_MIN    MPI_MIN
#define PCL_RO_SUM    MPI_SUM
#define PCL_RO_PROD   MPI_PROD
#define PCL_RO_LAND   MPI_LAND
#define PCL_RO_BAND   MPI_BAND
#define PCL_RO_LOR    MPI_LOR
#define PCL_RO_BOR    MPI_BOR
#define PCL_RO_LXOR   MPI_LXOR
#define PCL_RO_BXOR   MPI_BXOR
#define PCL_RO_MAXLOC   MPI_MAXLOC
#define PCL_RO_MINLOC   MPI_MINLOC
 
typedef MPI_Op ReduceOperation;
 
 
 
 
double Time();
 
void SendData(ProcID destProc, void* pBuffer, int bufferSize, int tag);
 
void ReceiveData(void* pBuffOut, ProcID srcProc, int bufferSize, int tag);
 
void CollectData(ProcID thisProcID, int firstSendProc, int numSendProcs,
          void* pBuffer, int bufferSizePerProc, int tag);
 
 
void DistributeData(ProcID thisProcID, int firstRecProc, int numRecProcs,
          void* pBuffer, int* pBufferSegSizes, int tag);
 
 
void DistributeData(ProcID thisProcID, int* pRecProcMap, int numRecProcs,
          void* pBuffer, int* pBufferSegSizes, int tag);
 
 
void AllReduce(void* sendBuf, void* recBuf, int count, DataType type,
        ReduceOperation op);
 
//void StartWait(), StopWait();
 
inline void MPI_Waitall(int count, MPI_Request *array_of_requests, MPI_Status *array_of_statuses)
{
//  StartWait();
  PROFILE_FUNC_GROUP("mpi");
  ::MPI_Waitall(count, array_of_requests, array_of_statuses);
//  StopWait();
}
inline void MPI_Waitall(int count, MPI_Request *array_of_requests, MPI_Status *array_of_statuses) {…}
 
inline void Waitall(std::vector<MPI_Request> &requests, std::vector<MPI_Status> &statuses)
{
//  StartWait();
  PROFILE_FUNC_GROUP("mpi");
  assert(requests.size() == statuses.size());
  if(requests.size() > 0)
    pcl::MPI_Waitall(requests.size(), &requests[0], &statuses[0]);
//  StopWait();
}
inline void Waitall(std::vector<MPI_Request> &requests, std::vector<MPI_Status> &statuses) {…}
 
inline void Waitall(std::vector<MPI_Request> &requests)
{ 
//  StartWait();
  PROFILE_FUNC_GROUP("mpi");
  if(requests.size() > 0) 
    pcl::MPI_Waitall(requests.size(), &requests[0], MPI_STATUSES_IGNORE);
//  StopWait();
}
inline void Waitall(std::vector<MPI_Request> &requests) {…}
 
inline void Waitall(std::vector<MPI_Request> &requests, std::vector<MPI_Request> &requests2)
{ 
//  StartWait();
  PROFILE_FUNC_GROUP("mpi");
  if(requests.size() > 0) pcl::MPI_Waitall(requests.size(), &requests[0], MPI_STATUSES_IGNORE);
  if(requests2.size() > 0) pcl::MPI_Waitall(requests2.size(), &requests2[0], MPI_STATUSES_IGNORE);
//  StopWait();
}
inline void Waitall(std::vector<MPI_Request> &requests, std::vector<MPI_Request> &requests2) {…}
 
inline int MPI_Wait(MPI_Request *request, MPI_Status *status=MPI_STATUS_IGNORE)
{
//  StartWait();
  PROFILE_FUNC_GROUP("mpi");
  int i=::MPI_Wait(request, status);
//  StopWait();
  return i;
}
inline int MPI_Wait(MPI_Request *request, MPI_Status *status=MPI_STATUS_IGNORE) {…}
 
 
 
/*inline int Irecv(void *buf, int count, MPI_Datatype datatype, int source,
                             int tag, MPI_Comm comm, MPI_Request *request)
{
  PROFILE_FUNC_GROUP("mpi");
  return ::MPI_Irecv(buf, count, datatype, source, tag, comm, request);
}
 
template<typename T>
inline int IRecv(T *buf, int count, int source, int tag, MPI_Comm comm, MPI_Request *request)
{
  PROFILE_FUNC_GROUP("mpi");
  return ::MPI_IRecv(buf, count, DataTypeTraits<T>::get_data_type(), source, tag, comm, request);
}*/
 
 
// end group pcl
 
 
}// end of namespace
 
#endif