National systems: Difference between revisions

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==Compute clusters== <!--T:1-->
<!--T:3-->
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.


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===Types of compute clusters===


==Compute== <!--T:1-->
{| class="wikitable"
|-
! 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
|}


===Overview=== <!--T:2-->
===List of compute clusters===


<!--T:3-->
{| class="wikitable"
Cedar, Graham and Béluga are similar systems with some differences in interconnect and the number of large memory, small memory and GPU nodes.
|-
! Name and link !! Type !! CCDB Description !! Status
|-
| [[Béluga/en|Béluga]]
| General-purpose
|
* [https://ccdb.computecanada.ca/resources/beluga-compute Béluga-Compute]
* [https://ccdb.computecanada.ca/resources/beluga-gpu Béluga-GPU]
| In production
|-
| [[Cedar|Cedar]]
| General-purpose
|
* [https://ccdb.computecanada.ca/resources/Cedar-Compute Cedar-Compute]
* [https://ccdb.computecanada.ca/resources/Cedar-GPU Cedar-GPU]
| In production
|-
| [[Graham|Graham]]
| General-purpose
|
* [https://ccdb.computecanada.ca/resources/Graham-Compute Graham-Compute]
* [https://ccdb.computecanada.ca/resources/Graham-GPU Graham-GPU]
| In production
|-
| [[Narval/en|Narval]]
| General-purpose
|
* [https://ccdb.computecanada.ca/resources/narval-compute Narval-Compute]
* [https://ccdb.computecanada.ca/resources/narval-gpu Narval-GPU]
| In production
|-
| [[Niagara|Niagara]]
| Large parallel
|
* [https://ccdb.computecanada.ca/resources/niagara-compute Niagara-Compute]
| In production
|}


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Revision as of 22:15, 22 March 2022


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Compute clusters[edit]

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.

Types of compute clusters[edit]

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[edit]

Name and link Type CCDB Description 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
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

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

CCDB descriptions[edit]

General descriptions are also available on CCDB: