Investigating efficient parallelization techniques for the characteristic basis function method (CBFM)

Two message-passing parallelization schemes for the Method of Moment (MoM) based Characteristic Basis Function Method (CBFM) are presented. The CBFM algorithm is implemented in the high-level scripting languages, Python and Octave and is parallelized using the Message Passing Interface (MPI) standard. The MPI implementations used for the parallelization, i.e. MPI for Python and MPI Toolbox for Octave and Matlab, are compared in terms of bandwidth, latency, speed-up and efficiency. The results are obtained from simulations conducted on an IBM e1350 Linux Cluster.