Parallel code
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Proposed as a freely available and portable implementation of the MPI standard, MPICH has evolved along with it, from the MPICH1 implementation [mpc1] (fulfilling MPI-1 specifications and partially supporting some MPI-2 features like the parallel I/O), to MPICH2 [mpc2], which is moreover fully compatible with the MPI-2 version of the standard. Although the development of the MPICH1 was frozen since 2005 to the 1.2.7p1 version, with the intention to be replaced with MPICH2, it continues to be the most used MPI implementation worldwide. | Proposed as a freely available and portable implementation of the MPI standard, MPICH has evolved along with it, from the MPICH1 implementation [mpc1] (fulfilling MPI-1 specifications and partially supporting some MPI-2 features like the parallel I/O), to MPICH2 [mpc2], which is moreover fully compatible with the MPI-2 version of the standard. Although the development of the MPICH1 was frozen since 2005 to the 1.2.7p1 version, with the intention to be replaced with MPICH2, it continues to be the most used MPI implementation worldwide. | ||
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=== MVAPICH === | === MVAPICH === | ||
Revision as of 19:14, 28 March 2012
Contents |
Message passing model
MPICH implementations
Proposed as a freely available and portable implementation of the MPI standard, MPICH has evolved along with it, from the MPICH1 implementation [mpc1] (fulfilling MPI-1 specifications and partially supporting some MPI-2 features like the parallel I/O), to MPICH2 [mpc2], which is moreover fully compatible with the MPI-2 version of the standard. Although the development of the MPICH1 was frozen since 2005 to the 1.2.7p1 version, with the intention to be replaced with MPICH2, it continues to be the most used MPI implementation worldwide.
MVAPICH
MPICH-MX
MPICH2
Intel MPI
MPIX (IBM)
OpenMPI
CMSLTM @IMBB (NEURON ParallelContext)
Preferred MPI environment is OpenMPI (openmpi_gcc-1.4.3). NEURON was compiled with parallel support (MPI) using the gcc compiler:
./configure --without-iv --with-paranrn --prefix=/home/gkastel/src/nrn-7.1
We used NEURON's ParallelContext to distribute the simulation of each neuron to different nodes evenly.
