National systems

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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 Sub-systems Status
Béluga General-purpose
  • beluga-compute
  • beluga-gpu
  • beluga-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