National systems
| 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. |
Compute clusters
A general-purpose cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes. We broadly classify the nodes as:
- base nodes, containing typically about 4GB of memory per core;
- large-memory nodes, containing typically more than 8GB memory per core;
- GPU nodes, which contain graphic processing units.
The large parallel cluster Niagara is designed to support multi-node parallel jobs requiring more than 1000 CPU cores, although jobs as small as a single node are also supported there. Niagara is composed of nodes of a uniform design, with an interconnect optimized for large jobs.
All clusters have large, high-performance storage attached. For details about storage, memory, CPU model and count, GPU model and count, and the number of nodes at each site, please click on the cluster name in the table below.
List of compute clusters
| Name and link | Type | Sub-systems | Status |
|---|---|---|---|
| Béluga | General-purpose |
|
In production |
| Cedar | General-purpose |
|
In production |
| Graham | General-purpose |
|
In production |
| Narval | General-purpose |
|
In production |
| Niagara | Large parallel |
|
In production |
Cloud - Infrastructure as a Service
Our cloud systems are offering an Infrastructure as a Service (IaaS) based on OpenStack.
| Name and link | Sub-systems | Description | Status |
|---|---|---|---|
| Arbutus cloud |
|
|
In production |
| Béluga cloud |
|
|
In production |
| Cedar cloud |
|
|
In production |
| Graham cloud |
|
|
In production |