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Get Started with Parallel Computing Toolbox

Perform parallel computations on multicore computers, GPUs, and computer clusters

Parallel Computing Toolbox™ lets you solve compute- and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—enable you to scale MATLAB® applications without CUDA® or MPI programming. Parallel Computing Toolbox also lets you use parallel-enabled functions in MATLAB and other toolboxes and run multiple Simulink® simulations in parallel. Programs and models can run in both interactive and batch modes

The toolbox lets you use the full processing power of multicore and GPU-enabled desktops by executing applications on thread and process workers (MATLAB computational engines) that run locally. Without changing the code, you can run the same applications on clusters or clouds (using MATLAB Parallel Server™). You can also use the toolbox with MATLAB Parallel Server to execute matrix calculations that are too large to fit into the memory of a single machine


About Parallel Computing

Featured Examples


Four MATLAB workers connected in a parallel pool.

Parallel Computing Toolbox Overview
Scale up your computations in parallel on multicore computers, GPUs, and clusters

Comparison of results of second order wave equation executed on a CPU and GPU.

Introduction to GPU Computing with MATLAB
Accelerate your MATLAB applications with GPUs and built-in GPU support