Topic: MATLAB
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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 parallelfor-loops, special array types, and parallelized numerical algorithms let you parallelize MATLAB applications without CUDA or MPI programming.
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.
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 â ¢). You can run parallel applications interactively or in batch.
You can run the same application on a variety of computing resources without reprogramming it. The parallel constructs function in the same way, regardless of the resource on which your application runsâ a multicore desktop (using the toolbox) or on a larger resource such as a computer cluster (using toolbox with MATLAB Distributed Computing Server).
Source: www.mathworks.com
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