Systèmes nationaux

Grappes de calcul

Cedar, Graham et Béluga sont des grappes similaires. Les principales différences résident dans la réseautique, la quantité de nœuds à large mémoire, la quantité de nœuds à petite mémoire et la quantité de nœuds GPU.

Toutes les grappes offrent des systèmes de stockage haute performance. Voyez les pages spécifiques pour chacune des grappes.

Types de grappes de calcul

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	Capacity	Status
Arbutus Cloud	IaaS Cloud Compute intensive and persistent workloads vGPU nodes	44,112 virtual cores	In production
Béluga	heterogeneous, general-purpose cluster Serial and small parallel jobs GPU and big memory nodes	34,880 cores	In production
Béluga Cloud	IaaS Cloud Compute intensive and persistent workloads	12,288 virtual cores	In production
Cedar	heterogeneous, general-purpose cluster Serial and small parallel jobs GPU and big memory nodes	94,528 cores	In production
Cedar Cloud	IaaS Cloud Compute intensive and persistent workloads	4,352 virtual cores	In production
Graham	heterogeneous, general-purpose cluster Serial and small parallel jobs GPU and big memory nodes	41,548 cores	In production
Graham Cloud	IaaS Cloud Compute intensive and persistent workloads	11,232 virtual cores	In production
Niagara	homogeneous, large parallel cluster Designed for large parallel jobs > 1000 cores	80,960 cores	In production