Running Code on Clusters and Clouds

Scale up and run computationally intensive code in your existing cluster

After you integrate MATLAB^® Parallel Server™ with your existing cluster infrastructure, you can run parallel code in your cluster. If you need to set up your cluster, see Installation. Then, to learn more about cluster workflows, try the examples in this section.

Topics

Examples and How To

Scale Up from Desktop to Cluster (Parallel Computing Toolbox)
Develop your parallel MATLAB® code on your local machine and scale up to a cluster.
Plot During Parameter Sweep with parfor (Parallel Computing Toolbox)
Perform a parameter sweep in parallel and plot progress during parallel computations.
Scale Up parfor-Loops to Cluster and Cloud (Parallel Computing Toolbox)
Develop parfor-loops on your desktop, and scale up to a cluster without changing your code.

Concepts

Discover Clusters and Use Cluster Profiles (Parallel Computing Toolbox)
Find out how to work with cluster profiles and discover cloud clusters.
Choose a Parallel Computing Solution (Parallel Computing Toolbox)
Discover the most important functionalities offered by MATLAB and Parallel Computing Toolbox™ to solve your parallel computing problem.

Reference Architectures

Run MATLAB Parallel Server on Amazon Web Services
Launch MATLAB Parallel Server in AWS using a reference architecture.
Run MATLAB Parallel Server on AWS Batch
Launch MATLAB Parallel Server in AWS using a reference architecture for AWS Batch.
Run MATLAB Parallel Server on Microsoft Azure Using Reference Architecture
Launch MATLAB Parallel Server in Microsoft^® Azure^® using a reference architecture.
Run MATLAB Parallel Server from Microsoft Azure Marketplace
Launch MATLAB Parallel Server in Microsoft Azure from the Microsoft Azure Marketplace.

Licensing

Configure MATLAB Parallel Server Licensing for Cloud Platforms
Set up a network license for use with MATLAB Parallel Server running in the Cloud.

Related Info

Get Started with Parallel Computing Toolbox (Parallel Computing Toolbox)
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—enable you to parallelize MATLAB applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink^® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
Scaling to clusters and cloud