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Parallel Computing Toolbox 5.0
Perform parallel computations on multicore computers, GPUs, and computer clusters
Parallel Computing Toolbox™ lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—let you parallelize MATLAB® applications without CUDA or MPI programming. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel.
The toolbox provides eight workers (MATLAB computational engines) to execute applications locally on a multicore desktop. Without changing the code, you can run the same application on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server™). You can run parallel applications interactively or in batch.
Parallel Computing with MATLAB on Amazon Elastic Compute Cloud (EC2)
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FREE Parallel Computing Interactive Kit
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With MATLAB we can develop a new algorithm, technique, or GUI in one or two days. The same effort would take at least a month in C++.