Scientific computing

scientific computing

National systems funded through Canada Foundation for Innovation and academic institutions offer access to compute clusters via Compute Canada. Other clusters are available through the various regional consortia as well. We offer assistance with usage of these clusters, such as how to access the systems, using or compiling your software, and how to run your programs in the most efficient way.

High-performance computing

High-performance computing (HPC) is a powerful tool in today’s research and allows for large-scale computations of complex systems, for big data analysis, or for data visualization. To achieve this, HPC systems have thousands of processors, multiple GPUs, hundreds of gigabytes of memory, and terabytes of storage available.

Parallel computing

When writing a program, by default it will be a serial program. This means a single CPU core is used. However, most computers and, in particular, HPC clusters will have multiple cores available. To access the multiple CPUs, your program needs to be designed as a parallel program. This allows it to use many CPU cores simultaneously and this cuts down processing time substantially.


Regular seminars are held on various subjects ranging from how to get started with high performance computing to more in-depth programming techniques.




October 24, 2018

Intro to high performance computing for researchers


November 28, 2018

Parallel computing using OpenMP


January 29, 2019

Distributed computing using MPI


February 27, 2019

Data visualization with ParaView


March 27, 2019

GPU programming


April 24, 2019 

Introduction to high performance computing

June 5, 2019

Data security for researchers

July 8 - 12, 2019

High Performance Computing Summer School

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