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. | |||
===Types of compute clusters=== | |||
= | {| 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 | |||
|} | |||
=== | ===List of compute clusters=== | ||
{| class="wikitable" | |||
Cedar | |- | ||
! 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 | |||
|} | |||
<!--T:4--> | <!--T:4--> |
Revision as of 22:15, 22 March 2022
Outdated
This page or section contains obsolete information and some statements may not be valid. The technical documentation is currently being updated by our support team.
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 |
|
|
Large parallel |
|
|
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
|
44,112 virtual cores | In production |
Béluga |
heterogeneous, general-purpose cluster
|
34,880 cores | In production |
Béluga Cloud |
IaaS Cloud
|
12,288 virtual cores | In production |
Cedar |
heterogeneous, general-purpose cluster
|
94,528 cores | In production |
Cedar Cloud |
IaaS Cloud
|
4,352 virtual cores | In production |
Graham |
heterogeneous, general-purpose cluster
|
41,548 cores | In production |
Graham Cloud |
IaaS Cloud
|
11,232 virtual cores | In production |
Niagara |
homogeneous, large parallel cluster
|
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: