Accelerating and Parallelizing MATLAB Code on HPC infrastructure

You are here

Wednesday, 30 May 2018 09:00 to 13:30


This workshop covers a variety of techniques for making your MATLAB® code run faster. By using MATLAB big data technologies and more hardware, you can reduce the cycle time for your workflow and solve computationally- and data-intensive problems faster.

You will learn available techniques on importing and preparing huge data set for data analytics applications. On top of that, you will take advantage of multiple cores on your computer and scale up across multiple computers. Interplay between those concepts will be explored throughout the workshop.

We will discuss a range of workflows available to scale MATLAB applications with minimal changes to your MATLAB code and without needing to learn any shell or scheduler programming syntax.

Additional info

The workshop is mainly for Academic Professors and researchers.

The workshop will be held in English,

Please note that if you want to subscribe to this workshop you have to accept that your personal data will be shared with The MathWorks srl.

Files e allegati: 


Cineca is a non profit Consortium, made up of 102 Italian national institutions: Universities, Italian Research Institutions and the Italian Ministries of Universities and Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

Visit the Cineca website