/usr/include/palabos/parallelism/mpiManager.h is in libplb-dev 1.5~r1+repack1-2build2.
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The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | /* This file is part of the Palabos library.
*
* Copyright (C) 2011-2015 FlowKit Sarl
* Route d'Oron 2
* 1010 Lausanne, Switzerland
* E-mail contact: contact@flowkit.com
*
* The most recent release of Palabos can be downloaded at
* <http://www.palabos.org/>
*
* The library Palabos is free software: you can redistribute it and/or
* modify it under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* The library 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
/** \file
* Wrapper functions that simplify the use of MPI
*/
#ifndef MPI_MANAGER_H
#define MPI_MANAGER_H
#include "core/globalDefs.h"
#ifdef PLB_MPI_PARALLEL
#include "mpi.h"
#include <vector>
#include <string>
#endif
namespace plb {
namespace global {
#ifdef PLB_MPI_PARALLEL
/// Wrapper functions that simplify the use of MPI
class MpiManager {
public:
/// Initializes the MPI manager and the MPI machine.
void init(int *argc, char ***argv, bool verbous=false);
/// Initializes the MPI manager, but assumes that the MPI
/// machine is handled by another instance.
void init(MPI_Comm globalCommunicator_);
/// Initializes the MPI manager, but assumes that the MPI
/// machine is handled by another instance.
void init();
/// Returns the number of processes
int getSize() const;
/// Returns the process ID
int getRank() const;
/// Returns process ID of main processor
int bossId() const;
/// Tells whether current processor is main processor
bool isMainProcessor() const;
/// Returns universal MPI-time in seconds
double getTime() const;
/// Returns the global communicator for this program or library instance.
MPI_Comm getGlobalCommunicator() const;
/// Synchronizes the processes
void barrier();
/// Sends data at *buf, blocking
template <typename T>
void send( T *buf, int count, int dest, int tag = 0 );
/// Sends data at *buf, non blocking
template <typename T>
void iSend( T *buf, int count, int dest, MPI_Request* request, int tag = 0 );
/// Sends data at *buf, assuming that receiver is ready.
template <typename T>
void rSend( T *buf, int count, int dest, int tag = 0 );
/// Sends data at *buf, non blocking and request free
template <typename T>
void iSendRequestFree( T *buf, int count, int dest, int tag = 0 );
/// Receives data at *buf, blocking
template <typename T>
void receive( T *buf, int count, int source, int tag = 0 );
/// Receives data at *buf, non blocking
template <typename T>
void iRecv( T *buf, int count, int source, MPI_Request* request, int tag = 0 );
/// Send and receive data between two partners
template <typename T>
void sendRecv( T *sendBuf, T *recvBuf, int count, int dest,
int source, int tag = 0 );
/// Sends data to master processor
template <typename T>
void sendToMaster( T* sendBuf, int sendCount, bool iAmRoot );
/// Scatter data from one processor over multiple processors
template <typename T>
void scatterV( T *sendBuf, T *recvBuf, int* sendCounts, int root = 0 );
/// Gather data from multiple processors to one processor
template <typename T>
void gatherV( T* sendBuf, T* recvBuf, int *recvCounts, int root = 0 );
/// Broadcast data from one processor to multiple processors
template <typename T>
void bCast( T* sendBuf, int sendCount, int root = 0 );
/// Special case for broadcasting strings. Memory handling is automatic.
void bCast( std::string& message, int root = 0 );
/// Broadcast data when root is unknown to other processors
template <typename T>
void bCastThroughMaster( T* sendBuf, int sendCount, bool iAmRoot );
/// Reduction operation toward one processor
template <typename T>
void reduce( T sendVal, T& recvVal, MPI_Op op, int root = 0 );
/// Element-per-element reduction of a vector of data
template <typename T>
void reduceVect( std::vector<T>& sendVal, std::vector<T>& recvVal,
MPI_Op op, int root = 0 );
/// Inplace element-per-element reduction of a vector of data; result
/// available on all MPI threads.
template <typename T>
void allReduceVect( std::vector<T>& sendRecvVal, MPI_Op op );
/// Reduction operation, followed by a broadcast
template <typename T>
void reduceAndBcast(T& reductVal, MPI_Op op, int root = 0 );
/// Complete a non-blocking MPI operation
void wait(MPI_Request* request, MPI_Status* status);
private:
/// Implementation code for Scatter
template <typename T>
void scatterv_impl(T *sendBuf, int* sendCounts, int* displs,
T* recvBuf, int recvCount, int root);
/// Implementation code for Gather
template <typename T>
void gatherv_impl(T* sendBuf, int sendCount, T* recvBuf, int* recvCounts,
int* displs, int root);
private:
MpiManager();
~MpiManager();
private:
int numTasks, taskId;
bool ok;
bool responsibleForMpiMachine;
MPI_Comm globalCommunicator;
friend MpiManager& mpi();
};
#else // #ifdef PLB_MPI_PARALLEL
class MpiManager {
public:
/// Initializes the mpi manager
void init(int *argc, char ***argv, bool verbous=false) { }
/// Initializes the MPI manager, but assumes that the MPI
/// machine is handled by another instance.
void init() { }
/// Returns the number of processes
int getSize() const { return 1; }
/// Returns the process ID
int getRank() const { return 0; }
/// Returns process ID of main processor
int bossId() const { return 0; }
/// Tells whether current processor is main processor
bool isMainProcessor() const { return true; }
/// Broadcast data from one processor to multiple processors
template <typename T>
void bCast(T* sendBuf, int sendCount, int root = 0) { }
/// Special case for broadcasting strings. Memory handling is automatic.
void bCast(std::string& message, int root = 0) { }
/// Synchronizes the processes
void barrier() { }
friend MpiManager& mpi();
};
#endif // PLB_MPI_PARALLEL
inline MpiManager& mpi() {
static MpiManager instance;
return instance;
}
} // namespace global
} // namespace plb
#endif // MPI_MANAGER_H
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