mpiLibConf
Location of MPI implementation
Syntax
[primaryLib,extras] = mpiLibConf
Arguments
| MPI implementation library used by a communicating job. |
| Cell array of other required library names. |
Description
[primaryLib,extras] = mpiLibConf
returns
the MPI implementation library to be used by a communicating job.
primaryLib
is the name of the shared library file containing
the MPI entry points. extras
is a cell array of other library
names required by the MPI library.
To supply an alternative MPI implementation, create a file named
mpiLibConf.m
, and place it on the MATLAB® path. The recommended location is
.
Your matlabroot
/toolbox/parallel/usermpiLibConf.m
file must be higher on the cluster workers'
path than
.
(Sending matlabroot
/toolbox/parallel/mpimpiLibConf.m
as a file dependency for this purpose does
not work.) After your mpiLibConf.m
file is in place, update the
toolbox path caching with the following command in MATLAB:
rehash toolboxcache
Examples
Use the mpiLibConf
function to view the current MPI
implementation library:
mpiLibConf
mpich2.dll
Tips
Under all circumstances, the MPI library must support all MPI-1 functions.
Additionally, the MPI library must support null arguments to
MPI_Init
as defined in section 4.2 of the MPI-2 standard. The
library must also use an mpi.h
header file that is fully
compatible with MPICH2.
When used with the MATLAB Job Scheduler or the local cluster, the MPI library must support the following additional MPI-2 functions:
MPI_Open_port
MPI_Comm_accept
MPI_Comm_connect
When used with any third-party scheduler, it is important to launch the workers using the version of mpiexec corresponding to the MPI library being used. Also, you might need to launch the corresponding process management daemons on the cluster before invoking mpiexec.
Version History
Introduced before R2006a
See Also
Topics
- Use Different MPI Builds on UNIX Systems (MATLAB Parallel Server)
- Toolbox Path Caching in MATLAB