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Parallel Computing Toolbox Product Description

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 lets you use the full processing power of multicore desktops by executing applications on workers (MATLAB computational engines) that run locally. Without changing the code, you can run the same applications on a computer cluster or a grid computing service (using MATLAB Distributed Computing Server™). You can run parallel applications interactively or in batch.

Key Features

  • Parallel for-loops (parfor) for running task-parallel algorithms on multiple processors

  • Support for CUDA-enabled NVIDIA GPUs

  • Full use of multicore processors on the desktop via workers that run locally

  • Computer cluster and grid support (with MATLAB Distributed Computing Server)

  • Interactive and batch execution of parallel applications

  • Distributed arrays and spmd (single-program-multiple-data) for large dataset handling and data-parallel algorithms

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