SHARED MEMORY FOR MATLAB AND OCTAVE: ANOTHER PACKAGE FOR DISTRIBUTED PROGRAMMING

The need of distributed computation in math environments as Matlab or Octave is nowadays unquestionable. A parallelisation package is presented that gives the user possibility of distributed programming using common memory model and synchronisation mechanisms, also while programming cross-platform Octave and Matlab. Functionality and technical details of the package are described. Also, a benchmarking test is done for comparison of this package and Matlab Distributed Computing Toolbox efficiency. The test problem is Google PageRank algorithm. The results of tests are promising, but the package still needs further maintenance and development.