SFU Research Computing Summer School 2024

Course Overview

The 2024 Research Computing Summer School is offered by Simon Fraser University on behalf of Western Canadian universities and the Digital Research Alliance of Canada. It is organized jointly with the Institute for Neuroscience and Neurotechnology and is hosted by SFU's Big Data Hub. It is open to all academic researchers at SFU, UBC, BCIT and other local post-secondary institutions. Researchers of all levels -- undergraduate and graduate students, postdocs, faculty and staff -- are welcome to register.

All courses will be taught by SFU's Research Computing training team. We will provide guest accounts on our HPC training cluster, but you will need to bring your own laptop if you want to follow along during hands-on exercises. You can attend as many or as few of the courses as you want. Light refreshments such as coffee and tea will be provided.

This program runs from June 3 to June 7. Please see the course syllabus below for a detailed schedule or visit the program page for more information.

What You Will Learn

• Gain a hands-on introduction to the linux command line and learn how to interact with a remote server.
• Understand the foundations of high-performance computing.
• Gain foundational knowledge around Python.
• Learn advanced concepts of Python.
• Gain expertise in speeding up your python with compilers and parallel execution.

Course Syllabus

Monday, June 3:

• 9:30 am - 4:30 pm - Introduction to Linux command line

Tuesday, June 4:

• 9:30 am - 4:30 pm - Introduction to high-performance Computing

Wednesday, June 5:

• 9:30 am - 4:30 pm - Git version control

Thursday, June 6:

• 9:30 am - 12:30 pm - Introduction to scientific computing in Python
• 1:30 pm - 4:30 pm - Advanced scientific computing in Python

Friday, June 7:

• 9:30 am - 4:30 pm - High-performance Python

Times are in PDT

Instructors

Alex Razoumov

Research Solutions Lead, SFU's Research Computing Group

Marie-Hélène Burle

Research Solutions Specialist, SFU's Research Computing Group

Why Choose SFU?

Taught By Leading Experts

Our instructors, who have decades of experience in both development and state-of-the-art research, will teach you in-demand skills, approaches, concepts and tools.

Experiential Learning

Gain hands-on experience working on complex problems, ensuring the knowledge you gained in this course can be directly applied to the real-world.

Get Real-Time Feedback

This interactive course is taught in person, enabling real-time feedback and encouraging you to build connections with your peers.

Prerequisites

Please visit the program page to review prerequisites for each session.

Questions?

Please contact sfu_bigdata@sfu.ca if you have any questions.