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

November 21, 2019

Working with maps and geographics using ArcGIS

Open

January 30, 2020

Workshop on R, the programming language for statistical computing

Closed

February 26, 2020

Big data processing with Hadoop and Postgres

Closed
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