Contents
How to get MPI debug information at runtime?
i_mpi_debug environment variable provides a convenient way to get detailed information about an MPI application at runtime. You can set the variable value from 0 (the default value) to 1000.
Is the Open MPI deprecating the MPIR interface?
That being said, Open MPI is deprecating its MPIR interface and is (literally) in the middle of replacing it with a more modern/flexible PMIx interface for tool attachment. MPIR is fine, but it’s showing its age; PMIx is the New Hotness.
Where can I get MPI implementation for Python?
Implementations are available from vendors of high-performance computers and from well known open source projects like MPICH [mpi-mpich] and Open MPI [mpi-openmpi]. Python is a modern, easy to learn, powerful programming language.
What is the purpose of the MPI standard?
The standard defines the syntax and semantics of library routines and allows users to write portable programs in the main scientific programming languages (Fortran, C, or C++). Since its release, the MPI specification [mpi-std1] [mpi-std2] has become the leading standard for message-passing libraries for parallel computers.
Is there way to attach GDB to MPI processes?
The OpenMPI site has a great FAQ on MPI debugging. Item #6 in the FAQ describes how to attach GDB to MPI processes. Read the whole thing, there are some great tips. If you find that you have far too many processes to keep track of, though, check out Stack Trace Analysis Tool (STAT).
Where do I find the MPI rank number?
By default, each printed line contains the MPI rank number and the message. You can also print additional information in front of each message, like process ID, time, host name and other information, or exclude some information printed by default. You can do this in two ways: ‘ sign in front of the debug level number.
What are the advantages of using SMPI for MPI?
SMPI proposes other advantages to the study of MPI applications: clairevoyance (you can observe every parts of the system), reproducibility (several runs lead to the exact same behavior unless you specify so), absence of heisenbugs (as the simulated platform is kept different from the host one), etc.