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MUMPS might be a good candidate for a new linear solver option in mplinsol. Benchmarking would be required, but its support for parallelism may make it a good alternative to PARDISO when solving large systems, but without the license restrictions.
It includes a MATLAB/Octave interface. While this doesn't work with MPI-based distributed memory parallelism, it does support shared memory, multithreaded parallelism through OpenMP and multithreaded BLAS implementations.
The text was updated successfully, but these errors were encountered:
Only an interface to the sequential version of MUMPS is provided, thus only the parameters related to the sequential version of MUMPS are available.
In any case, as you say, it would be useful to have some benchmarks to get an idea of whether there are improvements over the built-in backslash operator, and if so, how much and under what circumstances.
Moved here from MATPOWER/matpower#108 by @rwl ...
MUMPS might be a good candidate for a new linear solver option in mplinsol. Benchmarking would be required, but its support for parallelism may make it a good alternative to PARDISO when solving large systems, but without the license restrictions.
It includes a MATLAB/Octave interface. While this doesn't work with MPI-based distributed memory parallelism, it does support shared memory, multithreaded parallelism through OpenMP and multithreaded BLAS implementations.
The text was updated successfully, but these errors were encountered: