HPCmatlab: A Framework for Fast Prototyping of Parallel Applications in Matlab
Xinchen Guo, Mukul Dave, Mohamed Sayeed · Procedia Computer Science · 2016
The HPCmatlab framework has been developed for Distributed Memory Programming in Matlab/Octave using the Message Passing Interface (MPI). The communication routines in the MPI library are implemented using MEX wrappers. Point-to-point, collective as well as one-sided communication is supported. Benchmarking results show better performance than the Mathworks Distributed Computing Server. HPCmatlab has been used to successfully parallelize and speed up Matlab applications developed for scientific computing. The application results show good scalability, while preserving the ease of programmability. HPCmatlab also enables shared memory programming using Pthreads and Parallel I/O using the ADIOS package.