Getting started

From CC Doc
Jump to navigation Jump to search
This site replaces the former Compute Canada documentation site, and is now being managed by the Digital Research Alliance of Canada.

Ce site remplace l'ancien site de documentation de Calcul Canada et est maintenant géré par l'Alliance de recherche numérique du Canada.

Other languages:
English • ‎français


What do you want to do?

For any other questions, you might try the Search box in the upper right corner of this page, the main page for our technical documentation or contact us by email.

What resources are available?

The renewal of the national infrastructure began in 2016. The deployment currently consists of five clusters, called Arbutus, Béluga, Narval, Cedar, Graham, and Niagara.

Arbutus is a cloud site, which allows users to launch and customize virtual machines. See Cloud for how to obtain access to Arbutus.

Béluga, Cedar, Narval and Graham are general purpose clusters composed of a variety of nodes including large memory nodes and nodes with accelerators such as GPUs. You can log in to any of these using SSH. A home directory will be automatically created for you the first time you log in.

Niagara is a homogeneous cluster designed for large parallel jobs (>1000 cores). To obtain access to Niagara, visit the Available Services page.

Your password to log in to all new national systems are the same one you use to log in to the CCDB database. Your username will be displayed at the top of the page once you've logged in.

What resources should I use?

This question is hard to answer because of the range of needs we serve and the wide variety of resources we have available. If the descriptions above are insufficient, contact our Technical support.

In order to identify the best resource to use, we may ask specific questions, such as:

  • What software do you want to use?
    • Does the software require a commercial license?
    • Can the software be used non-interactively? That is, can it be controlled from a file prepared prior to its execution rather than through the graphical interface?
    • Can it run on the Linux operating system?
  • How much memory, time, computing power, accelerators, storage, network bandwidth and so forth --- are required by a typical job? Rough estimates are fine.
  • How frequently will you need to run this type of job?

You may know the answer to these questions or not. If you do not, our technical support team is there to help you find the answers. Then they will be able to direct you to the most appropriate resources for your needs.