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Parallel Computing

Execute MATLAB^® programs and Simulink^® simulations in parallel on CPUs, on GPUs, or on both

Parallel computing with MATLAB provides the language and tools that help you take advantage of more hardware resources, through CPUs and GPUs on the desktop, on clusters, and in the cloud.

Parallelize computations without changing any code as hundreds of functions have automatic parallel support and GPU support.
Write portable parallel code that runs for any user with or without Parallel Computing Toolbox and scale automatically depending on available resources.
Write parallel code once and execute on different cluster environments.
Solve computationally intensive problems using local multicore processors and GPUs or scale up to compute clusters.

Workflow for Parallel computing from desktop to compute clusters

Products for Parallel Computing

Parallel Computing Toolbox

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

MATLAB Parallel Server

Perform MATLAB and Simulink computations on clusters and clouds

Topics

Parallel Computing Fundamentals

Run MATLAB Functions with Automatic Parallel Support (Parallel Computing Toolbox)
Take advantage of parallel computing resources without requiring any extra coding.
Interactively Run Loops in Parallel Using parfor (Parallel Computing Toolbox)
Convert a for-loop into a scalable parfor-loop.
Plot During Parameter Sweep with parfor (Parallel Computing Toolbox)
Perform a parameter sweep in parallel and plot progress during parallel computations.

Parallel Simulations in Simulink

Running Multiple Simulations (Simulink)
Run multiple simulations from the parsim and batchsim commands, and the Multiple Simulations panel in Simulink Editor.

Using GPUs in MATLAB

Run MATLAB Functions on a GPU (Parallel Computing Toolbox)
Supply a gpuArray argument to automatically run functions on a GPU.

Scaling Up to Cluster and Cloud

Scale Up from Desktop to Cluster (Parallel Computing Toolbox)
Develop your parallel MATLAB® code on your local machine and scale up to a cluster.
Use Parallel Computing Toolbox with Cloud Center Cluster in MATLAB Online (Parallel Computing Toolbox)
Run parallel code in MATLAB Online™.

Parallel Computing Applications

Scale Up Deep Learning in Parallel, on GPUs, and in the Cloud (Deep Learning Toolbox)
Explore options for deep learning with MATLAB in parallel and using multiple GPUs, locally or in the cloud.
Minimizing an Expensive Optimization Problem Using Parallel Computing Toolbox (Optimization Toolbox)
Example showing how to use parallel computing in both Global Optimization Toolbox and Optimization Toolbox™ solvers.

Related Information

Featured Examples

Plot During Parameter Sweep with parfeval

Perform a parallel parameter sweep with parfeval and send results back during computations with a DataQueue object.

Illustrating Three Approaches to GPU Computing: The Mandelbrot Set

Adapt your MATLAB® code to compute the Mandelbrot Set using a GPU.

Run Script as Batch Job

Use batch to offload work to a MATLAB worker session that runs in the background.

Train Network Using Automatic Multi-GPU Support

Use multiple GPUs on your local machine for deep learning training using automatic parallel support.

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.

Measure GPU Performance

Measure some of the key performance characteristics of a GPU.