• Bienvenue sur le Site Education de SciNet, le Consortium de calcul haute performance de l'Université de Toronto. Vous trouverez ici les supports de cours pour tous les cours et cours dispensés par SciNet.

    Notre formation couvre de nombreux sujets en informatique de recherche et en science des données, sous diverses formes, telles que des webinaires, des ateliers et des cours de plusieurs semaines. Certains événements se déroulent en ligne, tandis que d’autres se déroulent en personne, mais bon nombre de ces derniers sont également diffusés et enregistrés.

    Un catalogue complet des cours passés et présents est disponible ici. L'accès aux diapositives et aux enregistrements est ouvert à tous, mais pour s'inscrire aux cours et obtenir un certificat SciNet, une connexion est requise. Hormis les cours d'études supérieures de l'Université de Toronto figurant dans la liste, toutes les activités de formation sont gratuites.


Cours disponibles

Learn the basics of shared memory programming with OpenMP. In particular, we will discuss the OpenMP execution and memory model, performance, reductions and load balancing.

Format: Virtual

Enseignant: Alexey Fedoseev
Date: : lun., 4 mars 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 3

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Yohai Meiron
Date: : mer., 13 mars 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

Debugging is an important step in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code and debugging of parallel (MPI and threaded) codes using DDT.

Enseignant: James Willis
Date: : lun., 25 mars 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 3

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some Linux basic command line experience.

Format: Virtual

Enseignant: Marco Saldarriaga
Date: : lun., 8 avril 2024 - 1:00 pm
Nombre de crédits - calcul scientifique: 3

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Ramses van Zon
Date: : mer., 10 avril 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts.

Format: Virtual

Enseignant: Erik Spence
Date: : mar., 23 avril 2024 - 12:00 am
Nombre de crédits - science des données: 16

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Michael Nolta
Date: : mer., 8 mai 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

Principles and uses of relational databases with practical examples using python and sqlite on the Niagara supercomputer.

Format: Virtual

Enseignant: Ramses van Zon
Date: : lun., 13 mai 2024 - 1:00 pm
Nombre de crédits - science des données: 3

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.

Format: Virtual

Enseignant: Ching-Hsing Yu
Date: : lun., 27 mai 2024 - 1:00 pm
Nombre de crédits - calcul scientifique: 3

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.

This will be an in-person course. Dates and details TBD.

Date: : sam., 1 juin 2024 - 12:00 am
Nombre de crédits - calcul scientifique: 12

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: James Willis
Date: : mer., 12 juin 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.

Format: Virtual

Enseignant: Yohai Meiron
Date de début: : 26 févr. 2024
Date de fin: : 1 mars 2024
Nombre de crédits - calcul haute performance: 6

Working with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX command line. This provides a very powerful interface, but it can be quite daunting for the uninitiated. In this half-day session, you can become initiated with this course which will cover basic commands. It could be a great boon for your productivity.

Format: Virtual

Enseignant: Marco Saldarriaga
Date: : ven., 23 févr. 2024 - 1:00 pm
Nombre de crédits - calcul scientifique: 3

This week's colloquium: "Multi-Factor Authentication" by Marco Saldarriaga from SciNet. 

The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers.  The colloquia are one hour long and include time for questions. No enrollment or registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

Enseignant: Marco Saldarriaga
Date de début: : 21 févr. 2024
Date de fin: : 21 févr. 2025

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Erik Spence
Date: : mer., 14 févr. 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

This week's colloquium: "Research Data Management for Reproducibility" by Jeff Moon from Compute Ontario. 

The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers.  The colloquia are one hour long and include time for questions. No enrollment or registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

Enseignant: Jeff Moon
Date: : mer., 7 févr. 2024 - 12:00 pm

Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.

Format: Virtual

Enseignant: Ramses van Zon
Date: : lun., 22 janv. 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 3

Managing large amounts of data can be a challenging task. Processing large numbers of files incur heavy overhead of IO communications. This course explores several options such as using Apptainer Overlay and SQLite to pack and reduce a large number of files to few files, and hence, improving IO performance. Python scripts are used throughout the course.

Format: Virtual

Enseignant: Ching-Hsing Yu
Date: : lun., 15 janv. 2024 - 1:00 pm
Nombre de crédits - science des données: 3

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Ramses van Zon
Date: : mer., 10 janv. 2024 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. 

This is a graduate course that can be taken for by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI.

Enseignant: Ramses van Zon
Date de début: : 10 janv. 2024
Date de fin: : 17 avril 2024
Nombre de crédits - calcul scientifique: 9

In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.  Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.

Students willing to take the course as part of their graduate program must enrol through Acorn/ROSI.

Date de début: : 9 janv. 2024
Date de fin: : 4 avril 2024
Nombre de crédits - calcul scientifique: 8
Nombre de crédits - science des données: 28

This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).

This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI.

This is an in-person course.

Enseignant: Ramses van Zon
Date de début: : 9 janv. 2024
Date de fin: : 12 avril 2024
Nombre de crédits - calcul scientifique: 28
Nombre de crédits - calcul haute performance: 8

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Alexey Fedoseev
Date: : mer., 13 déc. 2023 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

This week's colloquium: "Block Internet Advertisements by Setting up Pi-Hole on an Older PCs or Laptop"

The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers.  The colloquia are one hour long and include time for questions. No registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

Enseignant: Norbert Krawiec
Date: : mer., 6 déc. 2023 - 12:00 pm

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems.

Format: Virtual

Enseignant: Bruno Mundim
Date de début: : 4 déc. 2023
Date de fin: : 8 déc. 2023
Nombre de crédits - calcul haute performance: 4

Working with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX command line. This provides a very powerful interface, but it can be quite daunting for the uninitiated. In this half-day session, you can become initiated with this coursse which will cover basic commands. It could be a great boon for your productivity.

Format: Virtual

Enseignant: Marco Saldarriaga
Date: : ven., 1 déc. 2023 - 1:00 pm
Nombre de crédits - calcul scientifique: 3

This week's colloquium: "Web Scraping in Python" by Yohai Meiron from SciNet. 
The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers.  The colloquia are one hour long and include time for questions. No enrollment or registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

Enseignant: Yohai Meiron
Date: : mer., 22 nov. 2023 - 12:00 pm

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.

Format: Virtual

Enseignant: James Willis
Date: : lun., 20 nov. 2023 - 1:00 pm
Nombre de crédits - science des données: 3

In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers.

Format: Virtual

Enseignant: Bruno Mundim
Date: : mer., 8 nov. 2023 - 1:00 pm
Nombre de crédits - calcul haute performance: 1

This week's colloquium: "Reference-Counted Multidimensional Arrays for C++: Rarray" Ramses van Zon from SciNet. The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers. The colloquia are one hour long and include time for questions. No registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

Enseignant: Ramses van Zon
Date: : mer., 8 nov. 2023 - 12:00 pm