Get Started with Parallel Computing Toolbox

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.

Tutorials

• What Is Parallel Computing?
  

  Learn about MATLAB and Parallel Computing Toolbox.

• Choose a Parallel Computing Solution
  

  Discover the most important functionalities offered by MATLAB and Parallel Computing Toolbox to solve your parallel computing problem.

• Run MATLAB Functions with Automatic Parallel Support
  

  Take advantage of parallel computing resources without requiring any extra coding.

• Interactively Run Loops in Parallel Using parfor
  

  Convert a for-loop into a scalable parfor-loop.

• Scale Up from Desktop to Cluster
  

  Develop your parallel MATLAB® code on your local machine and scale up to a cluster.

• Run Batch Parallel Jobs
  

  Use batch to offload work from your MATLAB session to run in the background.

• Run MATLAB Functions on a GPU
  

  Supply a gpuArray argument to automatically run functions on a GPU.

About Parallel Computing

• Parallel Computing Support in MathWorks Products
  

  Overview of parallel computing with MathWorks products.

• Use Parallel Computing Toolbox with Cloud Center Cluster in MATLAB Online
  

  Run parallel code in MATLAB Online™.

Featured Examples

Plot During Parameter Sweep with parfor

Perform a parameter sweep in parallel and plot progress during parallel computations.

• Open Live Script

Use FFT2 on the GPU to Simulate Diffraction Patterns

Uses Parallel Computing Toolbox™ to perform a two-dimensional Fast Fourier Transform (FFT) on a GPU. The two-dimensional Fourier transform is used in optics to calculate far-field diffraction patterns. These diffraction patterns are observed when a monochromatic light source passes through a small aperture, such as in Young's double-slit experiment.

• Open Live Script

Use Distributed Arrays to Solve Systems of Linear Equations with Direct Methods

Solve a system of linear equations of the form Ax=b in parallel with a direct method using distributed arrays.

• Open Live Script

Scale Up from Desktop to Cluster

Develop your parallel MATLAB® code on your local machine and scale up to a cluster.

• Open Live Script

Process Big Data in the Cloud

Access a large data set in the cloud and process it in a cloud cluster using MATLAB® capabilities for big data.

• Open Live Script

Train Network in the Cloud Using Automatic Parallel Support

Train a convolutional neural network using MATLAB® automatic support for parallel training.

(Deep Learning Toolbox)

Videos

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

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