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.

Seminars

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

Date

Seminar

Registration

24 October 2018

Intro to high performance computing for researchers

Closed

28 November 2018

Parallel computing using OpenMP

Closed

29 January 2019

Distributed computing using MPI

Register

27 February 2019

Data visualization with ParaView

Not open yet

27 March 2019

GPU programming

Not open yet

 

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