Site Education SciNet

Did you know the Linux operating system has built-in tools to control which specific users and groups can access which files and directories?  In this session, you will learn what these Linux permissions are, how to use the available tools to control access and sharing, and how to avoid common security pitfalls.

Learn how to fully utilize the power of HPC. Discover proven strategies and tools to efficiently scale up from serial jobs to parallel runs across many compute nodes on Niagara.

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

Container computing is gradually changing the way researchers are developing, sharing, and running software applications. Apptainer (formerly called Singularity) is gaining popularity in HPC for its performance, ease of use, portability,  and security. In this course, we will explore: what is a container, why use a container, and how to use and create one.

Format: Virtual

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.

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

Time:  1:00 pm - 4:00 pm EST

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

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.

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.

Classes will be held Tuesdays and Thursdays, 10:00-11:30am, in VC323.

Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.

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, July 8 - 12, 12:00 - 3:00pm.

This course has been cancelled due to lack of attendance.

We are excited to announce the dates for this year’s 2024 Compute Ontario Summer School.

Jointly organized by the Centre for Advanced Computing, SciNet, SHARCNET, and in collaboration with the RDM Network of Experts, this year’s virtual event will be held on June 3-21.

The Compute Ontario Summer School offers a comprehensive curriculum packed with around 40 free courses. Delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), and Research Data Management (RDM). With presentations and workshops available at introductory to advanced levels, there is something for everyone.

Registration opened May 15.

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

Prerequisites: Some Linux command line experience.  Python experience is strongly advised. 

Format: Virtual

This week's colloquium: "C++20 Modules" by 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 enrollment or registration is required. Most presentations are recorded and uploaded to the hosting consortium video channel.

This week's colloquium: "How to Buy a Supercomputer for Scientific Computing"  by James Willis 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.