National systems: Difference between revisions

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(New tables with updated information)
(Updated links to CCDB resource pages)
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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 ''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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All systems have large, high-performance attached storage; see the relevant cluster page for more details.


===Types of compute clusters===
===Types of compute clusters===
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{| class="wikitable"
{| class="wikitable"
|-
|-
! Name and link !! Type !! CCDB Description !! Status
! Name and link !! Type !! CCDB Descriptions !! Status
|-
|-
| [[Béluga/en|Béluga]]
| [[Béluga/en|Béluga]]
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* [https://ccdb.computecanada.ca/resources/beluga-compute Béluga-Compute]
* [https://ccdb.computecanada.ca/resources/beluga-compute Béluga-Compute]
* [https://ccdb.computecanada.ca/resources/beluga-gpu Béluga-GPU]
* [https://ccdb.computecanada.ca/resources/beluga-gpu Béluga-GPU]
* [https://ccdb.computecanada.ca/resources/beluga-storage Béluga-Storage]
| In production
| In production
|-
|-
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| General-purpose
| General-purpose
|
|
* [https://ccdb.computecanada.ca/resources/Cedar-Compute Cedar-Compute]
* [https://ccdb.computecanada.ca/resources/cedar-compute Cedar-Compute]
* [https://ccdb.computecanada.ca/resources/Cedar-GPU Cedar-GPU]  
* [https://ccdb.computecanada.ca/resources/cedar-gpu Cedar-GPU]
* [https://ccdb.computecanada.ca/resources/cedar-storage Cedar-Storage]
| In production
| In production
|-
|-
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| General-purpose
| General-purpose
|
|
* [https://ccdb.computecanada.ca/resources/Graham-Compute Graham-Compute]
* [https://ccdb.computecanada.ca/resources/graham-compute Graham-Compute]
* [https://ccdb.computecanada.ca/resources/Graham-GPU Graham-GPU]
* [https://ccdb.computecanada.ca/resources/graham-gpu Graham-GPU]
* [https://ccdb.computecanada.ca/resources/graham-storage Graham-Storage]
| In production
| In production
|-
|-
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* [https://ccdb.computecanada.ca/resources/narval-compute Narval-Compute]
* [https://ccdb.computecanada.ca/resources/narval-compute Narval-Compute]
* [https://ccdb.computecanada.ca/resources/narval-gpu Narval-GPU]
* [https://ccdb.computecanada.ca/resources/narval-gpu Narval-GPU]
* [https://ccdb.computecanada.ca/resources/narval-storage Narval-Storage]
| In production
| In production
|-
|-
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|
|
* [https://ccdb.computecanada.ca/resources/niagara-compute Niagara-Compute]
* [https://ccdb.computecanada.ca/resources/niagara-compute Niagara-Compute]
* [https://ccdb.computecanada.ca/resources/niagara-storage Niagara-Storage]
| In production
| 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.


<!--T:4-->
<!--T:4-->
{| class="wikitable"
{| class="wikitable"
|-
|-
! Name !! Description !! Capacity !! Status
! Name !! Description !! Status
|-
|-
| [[CC-Cloud Resources|Arbutus Cloud]] ||
| [[CC-Cloud Resources|Arbutus Cloud]] ||
IaaS Cloud
* Compute intensive and persistent workloads
* Compute intensive and persistent workloads
* vGPU nodes
* vGPU nodes
|| 44,112 virtual cores || In production
| In production
|-
| [[Béluga/en|Béluga]] ||
heterogeneous, general-purpose cluster
* Serial and small parallel jobs
* GPU and big memory nodes
|| 34,880 cores || In production
|-
|-
| [[CC-Cloud Resources|Béluga Cloud]] ||
| [[CC-Cloud Resources|Béluga Cloud]] ||
IaaS Cloud
* Compute intensive and persistent workloads
* Compute intensive and persistent workloads
|| 12,288 virtual cores || In production
| In production
|-
| [[Cedar|Cedar]] ||
heterogeneous, general-purpose cluster
* Serial and small parallel jobs
* GPU and big memory nodes
|| 94,528 cores || In production
|-
|-
| [[CC-Cloud Resources|Cedar Cloud]] ||
| [[CC-Cloud Resources|Cedar Cloud]] ||
IaaS Cloud
* Compute intensive and persistent workloads
* Compute intensive and persistent workloads
|| 4,352 virtual cores || In production
| In production
|-
| [[Graham|Graham]] ||
heterogeneous, general-purpose cluster
* Serial and small parallel jobs
* GPU and big memory nodes
|| 41,548 cores || In production
|-
|-
| [[CC-Cloud Resources|Graham Cloud]] ||
| [[CC-Cloud Resources|Graham Cloud]] ||
IaaS Cloud
* Compute intensive and persistent workloads
* Compute intensive and persistent workloads
|| 11,232 virtual cores || In production
| In production
|-
| [[Niagara|Niagara]] ||
homogeneous, large parallel cluster
* Designed for large parallel jobs > 1000 cores
|| 80,960 cores || In production
|}
|}
<!--T:5-->
All systems have large, high-performance attached storage; see the relevant cluster page for more details.
==CCDB descriptions== <!--T:9-->
<!--T:10-->
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]


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Revision as of 12:07, 23 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.

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

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 Descriptions 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

Cloud - Infrastructure as a Service[edit]

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
 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

Compute Canada Data Base

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