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

June 16, 2021

Introduction to Dataverse for data sharing

Closed
June 8, 2021

Python workshop for beginners

Closed

April 7, 2021

Web scraping with Python

Watch the recording
March 10, 2021

From the spreadsheet to the map: Best practices when mapping your data

Closed
February 24, 2021 IT Services: Resources for professors

Closed

February 10, 2021

Web scraping with Excel and Google Sheets

Watch the recording
January 20, 2021 What is Research Data Management?

Watch the recording

2020
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