Thursday, 5 November 2026 10:00 to 16:30
Provided as:
Ordinary Course
Registrations closing:
Thursday, 08 October 2026 at 10:00
The number of participants for this workshop is limited to 25 students.
Applicants will be selected according to their experience, qualifications and scientific interest BASED ON WHAT WRITTEN IN THE REGISTRATION FORM.
Both admitted and non admitted participants will be notified via email on October 15th 2026.
The lessons will be held in ENGLISH.
Organizer:
Diego Molinari
Teachers:
Conte Alessio
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 |
|
|
13:00–14:00
|
Lunch |
|
14:00–16:00
|
|
|
16:00–16:30
|
|
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
Conclusa:
0