National systems

Outdated

This page or section contains obsolete information and some statements may not be valid. The technical documentation is currently being updated by our support team.

Compute clusters

All general-purpose systems are similar with some differences in interconnect and the number of small memory, large memory and GPU nodes. Niagara is a different system and is designed for large parallel jobs.

All systems have large, high-performance attached storage; see the relevant cluster page for more details.

Types of compute clusters

Type	Type of nodes	Type of jobs
General-purpose	Small memory nodes Regular nodes (4GB/core) Large memory nodes GPU nodes	Serial and small parallel jobs Small or large memory jobs GPU jobs
Large parallel	Uniform nodes (4GB/core) Optimized interconnect	Parallel jobs requiring +1000 cores

List of compute clusters

Name and link	Type	CCDB Descriptions	Status
Béluga	General-purpose	Béluga-Compute Béluga-GPU Béluga-Storage	In production
Cedar	General-purpose	Cedar-Compute Cedar-GPU Cedar-Storage	In production
Graham	General-purpose	Graham-Compute Graham-GPU Graham-Storage	In production
Narval	General-purpose	Narval-Compute Narval-GPU Narval-Storage	In production
Niagara	Large parallel	Niagara-Compute Niagara-Storage Hpss-Storage	In production

Cloud - Infrastructure as a Service

Our cloud systems are offering an Infrastructure as a Service (IaaS) where OpenStack is the main user interface.

Name	Description	Status
Arbutus cloud	Compute intensive and persistent workloads vGPU nodes dCache storage	In production
Béluga cloud	Compute intensive and persistent workloads	In production
Cedar cloud	Compute intensive and persistent workloads	In production
Graham cloud	Compute intensive and persistent workloads	In production

Compute Canada Data Base