This is a course focused on advanced research computing literacy, designed for graduate students who are preparing to utilize high-performance computers in their research. The course does not assume any prerequisites, but prior knowledge in scientific computing and some exposure to computers would be beneficial.
Comprising multiple sections, this course covers a broad range of topics at an introductory level. It begins with an overview of what constitutes a supercomputer and introduces the available supercomputing resources across Canada. Subsequent sections delve into the fundamentals of modern computer architecture, scientific computing, parallel computing, GPU utilization, and extend to topics such as relational databases and visualization techniques. Each section serves as an introduction and guide, directing learners to related in-depth courses for further exploration.
To complete the course, the participants are expected to read the course materials and complete quizzes and assignments with a minimum grade of 80%.
Live online classes are scheduled as follows (subject to changes with announcements; notice these times are not consecutive):
- Tues. Jan 6 and Fri. Jan 9 from 1 P.M. to 2 P.M. Eastern Time.
- Tues. Jan 20 and Fri. Jan 23 from 1 P.M. to 2 P.M. Eastern Time.
- Tues. Feb 3 and Fri. Feb 6 from 1 P.M. to 2 P.M. Eastern Time.
- Tues. Mar 3 and Fri. Mar 6 from 1 P.M. to 2 P.M. Eastern Time.
- Tues. Mar 17 and Fri. Mar 20 from 1 P.M. to 2 P.M. Eastern Time.
Recordings of live classes will be available afterwards in this course for self-paced learning and review.
- Teacher: Baolai Ge
- Teacher: Paul Preney