Translations:National systems/4/en: Difference between revisions

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homogeneous, large parallel cluster
homogeneous, large parallel cluster
* Designed for large parallel jobs > 1000 cores
* Designed for large parallel jobs > 1000 cores
|| 80,640 cores || In production
|| 80,960 cores || In production
|}
|}

Revision as of 18:38, 23 March 2021

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Message definition (National systems)
{| class="wikitable"
|-
! Name and link !! Sub-systems !! Description !! Status
|-
| [[Cloud_resources#Arbutus_cloud|Arbutus cloud]]
|
* arbutus-compute-cloud
* arbutus-persistent-cloud
* arbutus-dcache
|
* VCPU, VGPU, RAM
* Local ephemeral disk
* Volume and snapshot storage
* Shared filesystem storage (backed up)
* Object storage
* Floating IPs
* dCache storage
| In production
|-
| [[Cloud_resources#B.C3.A9luga_cloud|Béluga cloud]]
|
* beluga-compute-cloud
* beluga-persistent-cloud
|
* VCPU, RAM
* Local ephemeral disk
* Volume and snapshot storage
* Floating IPs
| In production
|-
| [[Cloud_resources#Cedar_cloud|Cedar cloud]]
|
* cedar-persistent-cloud
* cedar-compute-cloud
|
* VCPU, RAM
* Local ephemeral disk
* Volume and snapshot storage
* Floating IPs
| In production
|-
| [[Cloud_resources#Graham_cloud|Graham cloud]]
|
* graham-persistent-cloud
|
* VCPU, RAM
* Local ephemeral disk
* Volume and snapshot storage
* Floating IPs
| In production
|}
Name Description Capacity Status
CC-Cloud Resources

Arbutus
East.cloud
Cedar
Graham

OpenStack IAAS Cloud 17,272 cores In production
(integrates former west.cloud)
Béluga

heterogeneous, general-purpose cluster

  • Serial and small parallel jobs
  • GPU and big memory nodes
 34,880 cores In production
Cedar

heterogeneous, general-purpose cluster

  • Serial and small parallel jobs
  • GPU and big memory nodes
  • Small cloud partition
 94,528 cores In production
Graham

heterogeneous, general-purpose cluster

  • Serial and small parallel jobs
  • GPU and big memory nodes
  • Small cloud partition
 41,548 cores In production
Niagara

homogeneous, large parallel cluster

  • Designed for large parallel jobs > 1000 cores
 80,960 cores In production
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