National systems/en: Difference between revisions

From Alliance Doc
Jump to navigation Jump to search
(Updating to match new version of source page)
(Updating to match new version of source page)
 
(5 intermediate revisions by the same user not shown)
Line 1: Line 1:
{{Outdated}}
<languages />


<languages />
==Compute clusters==


A ''general-purpose'' cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes.  We broadly classify the nodes as:
* ''base'' nodes, containing typically about 4GB of memory per core;
* ''large-memory'' nodes, containing typically more than 8GB memory per core;
* ''GPU'' nodes, which contain [https://en.wikipedia.org/wiki/Graphics_processing_unit graphic processing units].


==Compute==
The ''large parallel'' cluster [[Niagara]] is designed to support multi-node parallel jobs requiring more than 1000 CPU cores, although jobs as small as a single node are also supported there.  Niagara is composed of nodes of a uniform design, with an interconnect optimized for large jobs.


===Overview===
All clusters have large, high-performance storage attached.  For details about storage, memory, CPU model and count, GPU model and count, and the number of nodes at each site, please click on the cluster name in the table below.


Cedar, Graham and Béluga are similar systems with some differences in interconnect and the number of large memory, small memory and GPU nodes.
===List of compute clusters===


{| class="wikitable"
{| class="wikitable"
|-
|-
! Name !! Description !! Capacity !! Status
! Name and link !! Type !! Sub-systems !! Status
|-
|-
| [[CC-Cloud Resources|Arbutus Cloud]] ||
| [[Béluga/en|Béluga]]
IaaS Cloud
| General-purpose
* Compute intensive and persistent workloads
|
* vGPU nodes
* beluga-compute
|| 44,112 virtual cores || In production
* beluga-gpu
* beluga-storage
| In production
|-
|-
| [[Béluga/en|Béluga]] ||
| [[Cedar|Cedar]]
heterogeneous, general-purpose cluster
| General-purpose
* Serial and small parallel jobs
|
* GPU and big memory nodes
* cedar-compute
|| 34,880 cores || In production
* cedar-gpu
* cedar-storage
| In production
|-
|-
| [[CC-Cloud Resources|Béluga Cloud]] ||
| [[Graham|Graham]]
IaaS Cloud
| General-purpose
* Compute intensive and persistent workloads
|
|| 12,288 virtual cores || In production
* graham-compute
* graham-gpu
* graham-storage
| In production
|-
|-
| [[Cedar|Cedar]] ||
| [[Narval/en|Narval]]
heterogeneous, general-purpose cluster
| General-purpose
* Serial and small parallel jobs
|
* GPU and big memory nodes
* narval-compute
|| 94,528 cores || In production
* narval-gpu
* narval-storage
| In production
|-
|-
| [[CC-Cloud Resources|Cedar Cloud]] ||
| [[Niagara|Niagara]]
IaaS Cloud
| Large parallel
* Compute intensive and persistent workloads
|
|| 4,352 virtual cores || In production
* niagara-compute
* niagara-storage
* hpss-storage
| In production
|}
 
==Cloud - Infrastructure as a Service==
Our cloud systems are offering an Infrastructure as a Service (IaaS) based on OpenStack.
 
{| class="wikitable"
|-
|-
| [[Graham|Graham]] ||
! Name and link !! Sub-systems !! Description !! Status
heterogeneous, general-purpose cluster
* Serial and small parallel jobs
* GPU and big memory nodes
|| 41,548 cores || In production
|-
|-
| [[CC-Cloud Resources|Graham Cloud]] ||
| [[Cloud_resources#Arbutus_cloud|Arbutus cloud]]
IaaS Cloud
|
* Compute intensive and persistent workloads
* arbutus-compute-cloud
|| 11,232 virtual cores || In production
* 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
|-
|-
| [[Niagara|Niagara]] ||
| [[Cloud_resources#B.C3.A9luga_cloud|Béluga cloud]]
homogeneous, large parallel cluster
|
* Designed for large parallel jobs > 1000 cores
* beluga-compute-cloud
|| 80,960 cores || In production
* 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
|}
|}
All systems have large, high-performance attached storage; see the relevant cluster page for more details.
==CCDB descriptions==
General descriptions are also available on CCDB:
* [https://ccdb.computecanada.ca/resources/beluga-compute Béluga-Compute]
* [https://ccdb.computecanada.ca/resources/beluga-gpu Béluga-GPU]
* [https://ccdb.computecanada.ca/resources/Cedar-Compute Cedar-Compute]
* [https://ccdb.computecanada.ca/resources/Cedar-GPU Cedar-GPU]
* [https://ccdb.computecanada.ca/resources/Graham-Compute Graham-Compute]
* [https://ccdb.computecanada.ca/resources/Graham-GPU Graham-GPU]
* [https://ccdb.computecanada.ca/resources/ndc-calculquebec NDC-Calcul Québec]
* [https://ccdb.computecanada.ca/resources/NDC-SFU NDC-SFU]
* [https://ccdb.computecanada.ca/resources/NDC-Waterloo NDC-Waterloo]
[[Category:Migration2016]]

Latest revision as of 14:24, 8 April 2022

Other languages:

Compute clusters

A general-purpose cluster is designed to support a wide variety of types of jobs, and is composed of a mixture of different nodes. We broadly classify the nodes as:

  • base nodes, containing typically about 4GB of memory per core;
  • large-memory nodes, containing typically more than 8GB memory per core;
  • GPU nodes, which contain graphic processing units.

The large parallel cluster Niagara is designed to support multi-node parallel jobs requiring more than 1000 CPU cores, although jobs as small as a single node are also supported there. Niagara is composed of nodes of a uniform design, with an interconnect optimized for large jobs.

All clusters have large, high-performance storage attached. For details about storage, memory, CPU model and count, GPU model and count, and the number of nodes at each site, please click on the cluster name in the table below.

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) based on OpenStack.

Name and link Sub-systems Description Status
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
Béluga cloud
  • beluga-compute-cloud
  • beluga-persistent-cloud
  • VCPU, RAM
  • Local ephemeral disk
  • Volume and snapshot storage
  • Floating IPs
 In production
Cedar cloud
  • cedar-persistent-cloud
  • cedar-compute-cloud
  • VCPU, RAM
  • Local ephemeral disk
  • Volume and snapshot storage
  • Floating IPs
 In production
Graham cloud
  • graham-persistent-cloud
  • VCPU, RAM
  • Local ephemeral disk
  • Volume and snapshot storage
  • Floating IPs
 In production
Retrieved from "https://docs.alliancecan.ca/mediawiki/index.php?title=National_systems/en&oldid=113663"