Distributed Computing Augments Math Tool

July 10, 2008

The Parallel Computing Toolbox and matching Distributed Computing Server augment the MathWorks’ Matlab 2008a with parallel computing support that will be a boon to number-crunching developers. New features include parallel for (parfor) defi

William G. Wong

The Parallel Computing Toolbox and matching Distributed Computing Server augment the MathWorks’ Matlab 2008a with parallel computing support that will be a boon to number-crunching developers. New features include parallel for (parfor) definitions as well as distributed arrays (darray) that allow data to be distributed across many servers. Users also can transition from serial Matlab programs to parallel Matlab programs without significant changes. The system is integrated with the Optimization Toolbox, the Genetic Algorithm and Data Search Toolbox, and the MathWorks’ SystemTest. The parallel enhancements are built on a message passing interface (MPI) that is also accessible to developers. A batch mode is now available to permit optimum use of a distributed server environment. Additional tools are provided for cluster monitoring and management.

THE MATHWORKS
www.mathworks.com

About the Author

William G. Wong | Senior Content Director - Electronic Design and Microwaves & RF

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I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.

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