并行的matlab——matlabMPI

MatlabMPI Software Summary Dr. Jeremy Kepner MIT Lincoln Laboratory MatlabMPI is a Matlab implementation of the Message Passing Interface (MPI) standard and allows any Matlab program to exploit multiple processors. MatlabMPI currently implements the basic MPI functions: MPI_Run Runs a matlab script in parallel. MPI_Init Initializes MatlabMPI. MPI_Comm_size Gets number of processors in a communicator. MPI_Comm_rank Gets rank of current processor within a communicator. MPI_Send Sends a message to a processor (non-blocking). MPI_Recv Receives message from a processor (blocking). MPI_Finalize Cleans up at the end. MPI_Abort Function to kill all matlab jobs started by MatlabMPI. MPI_Bcast Broadcast a message (blocking). MPI_Probe Returns a list of all incoming messages. that are the core of the MPI point-to-point communications standard. The key technical innovation of MatlabMPI is that it implements the widely used MPI ``look and feel'' on top of standard Matlab file I/O, resulting in an extremely compact (~200 lines) and ``pure'' implementation which runs anywhere Matlab runs. The performance has been tested on both shared and distributed memory parallel computers. MatlabMPI can match the bandwidth of C based MPI at large message sizes. A test image filtering application using MatlabMPI achieved a speedup of ~200 on a parallel computer.