Course web site: https://training.sharcnet.ca/courses/enrol/index.php?id=129

This two semester training course consists of a series of independent, self-contained modules on a wide range of topics pertaining to advanced research computing, including

Introduction to supercomputing
Introduction to Shell
Introduction to JupyterLab
Python for high performance computing

Parallel programming with Fortran
Parallel programming with C++
Parallel processing with GPUs
Programming with Julia
Introduction to Message Passing Interface (MPI)
Scalable and accelerated data science
Debugging and profiling
Visualization of scientific data

The course format includes live lectures and labs in Zoom and self-paced learning content. The live classes are scheduled for Monday, Wednesday and Thursday from 4pm-5pm Eastern Time. Recordings of live classes will be available for those who can't attend or would like to study the course materials alternatively at their own time.
For each module, there is a discussion forum where attendees can ask questions and receive answers. Those who would like to receive a certificate for the completion of this course need to meet the minimum requirements such as the completion of quizzes and home work assignments. For any course related questions, please send an email to [email protected].