MathWorks products for parallel computing
Perform parallel computations on multicore computers and computer clusters
Parallel Computing Toolbox™ and MATLAB Distributed Computing Server let you solve computationally and data-intensive problems with MATLAB® and Simulink® using multicore computers and computer clusters.
With the toolbox, you can program parallel MATLAB applications or convert existing serial ones with few code changes using parallel processing features in the toolbox: parallel for-loops, distributed arrays, parallel numerical algorithms, and message-passing functions.
The toolbox lets you run your applications on multicore or multiprocessor desktops. With MATLAB Distributed Computing Server, you can scale up these parallel MATLAB applications to clusters and server farms without changing your code.
Argonne National Laboratory PSAT Toolkit - Argonne National Laboratory Develops Powertrain System Analysis Toolkit with MathWorks™ Tools
C-COR Incorporated - C-COR Cuts DSP Development Time by 30 Percent Using Simulink® and Parallel Computing Toolbox™
Max Planck Institute - The Max Planck Institute Reconstructs Key Protein Complexes Using MATLAB® and Parallel Computing Toolbox™
EIM Group - EIM Group Develops Quantitative Tools for Hedge Fund Portfolio Management
MIT - Massachusetts Institute of Technology Integrates Cancer Research in the Lab and Classroom with MathWorks Tools
MATLAB and Simulink users
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