High-Performance Computing with MATLAB on the Cloud

Cloud technology has opened the door to accessing a broad range of software and hardware at scale. Typical use cases are optimizing code performance or processing very large data sets.

The complexity of your implementation depends on the type of problem. Running many completely independent simulations in parallel “just” requires powerful hardware. For more complex problems, you might need separate processors that are completely in sync and constantly communicate.

MATLAB Parallel Server™ allows you to scale MATLAB^® programs to clusters and clouds independent of the complexity of your application. Watch this online seminar to get an overview of how to construct an autoscaling cluster that makes efficient use of your resources and how to construct your code accordingly.

Learn how to:

• Use parallel computing tools to speed up your code
• Create an elastic cluster on the cloud
• Structure your code for easy parallelization