Introduction to MATLAB on HPC systems at Cineca

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Overview

 
This one-day workshop introduces participants to submitting parallel computing jobs with MATLAB on CINECA’s pre-exascale HPC cluster, Leonardo. Participants will learn how to solve compute- and data-intensive problems using Leonardo’s multicore processors and GPUs. Through hands-on exercises, they will gain practical experience accessing Leonardo, configuring and submitting MATLAB jobs, and retrieving results from MATLAB. By working through common scenarios for parallelizing MATLAB algorithms, participants will develop a solid understanding of parallel computing with MATLAB on HPC clusters and learn useful best practices.
 

Agenda

Time

Topic

10:00–10:30

 

Welcome coffee

10:30-13:00
  • CINECA clusters and how to access resources
  • Configuring MATLAB for remote job submission to Leonardo
  • MATLAB Parallel Computing on multiple CPU cores
  • Job monitoring and debugging

13:00–14:00

 

Lunch

14:00–16:00

 
  • GPU Acceleration with MATLAB on Leonardo
  • Training AI models on Leonardo
  • Overview of advanced capabilities

16:00–16:30

 
  • Q&A
  • Discuss your projects with MathWorks experts
 
Participants who currently use, or plan to use, CINECA HPC clusters for their research are encouraged to bring examples of their code for consultation with MathWorks experts.
 

Target audience:

This course is intended for university students, PhD candidates, postdoctoral researchers, and scientists working in scientific domains. Anyone who meets the prerequisites is welcome to apply.
 

Prerequisites

• University-level education, or higher, in a scientific domain
• Participants are required to complete the free Parallel Computing Onramp online course. Upload your course certificate of completion in the registration form (How do I get my certificate?)
• Affiliation with at least one Italian institute
• Good knowledge of English
• Participants are also encouraged to complete the free MATLAB Onramp online course.
 

Requirements

• Participants must bring their own laptop (see system requirements) with the following software installed:
   o One of the following MATLAB releases: R2025a, or R2025b
   o Parallel Computing Toolbox
   o Deep Learning Toolbox
 

About the presenter

Alessio Conte is an Education Customer Success Engineer at MathWorks with over six years of experience supporting academics and researchers across Italy and EMEA, with a strong focus on HPC and parallel computing applications. He holds a master’s degree in civil and environmental engineering from Sapienza University of Rome.
Intended for: 
Research Institutions
Universities
Area: 
Languages
Length: 
1dd
Provided as: 
Ordinary Course

Next courses

  • 05-11-2026, Cineca - Via Magnanelli 6/3 40033 Casalecchio di Reno, BO, ITALY

Any question?

For HPC and computer graphics courses, write to corsi.hpc@cineca.it

About CINECA

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