Artificial Intelligence and Supercomputing

Date: 3 to 4 March 2022
Hours: 10 a.m. to 6 p.m.
Venue: Turin
Organiser: NCC Italy (Cineca)

Typology: Curiosity and interest

Are you wondering how to solve your data analytics problems quickly?

Do you have a dataset large enough to be unable to analyze it on your workstation?

In this course we will analyze a large dataset using modern Machine Learning techniques and show how to scale an algorithm, or parallelize it at key points (e.g. data pre-processing, cross validation) to simultaneously exploit the available computing resources ( from laptop to supercomputer).


  •     Basic knowledge of Python.
  •     Familiarity with Machine Learning algorithms
  •     Ability to execute code on Linux Machine
  •     Basic knowledge of Machine Learning and Neural Networks

Outgoing skills

  •   Knowledge of examples of machine learning and data management algorithms
  •   Knowledge of HPC benefits for ML and AI
  •   Knowledge related to training and hyperparameters
  •   Knowledge on implementation of AI on HPC
  •   Theoretical and practical knowledge of distributed training


  • Bhaskar Agarwal (Cineca’s Data Scientist)
  • Laura Morselli (HPC Specialist of Associazione Big Data)
  • Eric Pascolo (Cineca’s HPC Specialist)

Get training resources here