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.
Explore parallel computing support in MATLAB and Simulink products
Parallel Computing Toolbox Overview
Capabilities
Programming Parallel Applications
Convert your applications to take advantage of computers equipped with multicore processors and GPUs.
Learn moreUsing Built-In Parallel Algorithms in Other MathWorks Products
Distribute computations across available parallel computing resources, and speed up your analysis or simulation tasks.
Learn moreSpeeding Up Task-Parallel Applications
Speed up some applications by organizing them into independent tasks and executing multiple tasks concurrently.
Learn moreSpeeding Up MATLAB Computations with GPUs
Perform computations on CUDA-enabled NVIDIA GPUs directly from MATLAB.
Learn moreScaling Up to Clusters, Grids, and Clouds Using MATLAB Distributed Computing Server
Run MATLAB workers locally on your multicore desktop to execute your parallel applications.
Learn moreBig Data Applications Using Parallel Computing Toolbox and MATLAB Distributed Computing Server
Execute parallel applications interactively and in batch.
Learn moreRunning Parallel Applications Interactively and as Batch Jobs
Execute parallel applications interactively and in batch.
Learn moreProduct Resources
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Documentation
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Functions
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System Requirements
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Technical Articles
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User Stories
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Community and Support
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Extending to a Cluster
Run computationally intensive MATLAB programs and Simulink models on computer clusters, clouds, and grids.
Installation Instructions
Learn about installing and configuring MATLAB Distributed Computing Server.
Video Tutorials
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Parallel Computing Toolbox requires: MATLAB
Related Solutions
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