National systems: Difference between revisions
Jump to navigation
Jump to search
(Cloud sub-systems and description) |
No edit summary |
||
| (7 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
<languages /> | <languages /> | ||
<translate> | <translate> | ||
| Line 7: | Line 5: | ||
<!--T:3--> | <!--T:3--> | ||
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]. | |||
<!--T:17--> | |||
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. | |||
<!--T:18--> | |||
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=== | ===List of compute clusters=== <!--T:14--> | ||
<!--T:15--> | |||
{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
| Line 84: | Line 64: | ||
|} | |} | ||
==Cloud - Infrastructure as a Service== | ==Cloud - Infrastructure as a Service== <!--T:16--> | ||
Our cloud systems are offering an | Our cloud systems are offering an Infrastructure as a Service (IaaS) based on OpenStack. | ||
<!--T:4--> | <!--T:4--> | ||
Latest revision as of 14:23, 8 April 2022
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 |
|
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
Our cloud systems are offering an Infrastructure as a Service (IaaS) based on OpenStack.
| Name and link | Sub-systems | Description | Status |
|---|---|---|---|
| Arbutus cloud |
|
|
In production |
| Béluga cloud |
|
|
In production |
| Cedar cloud |
|
|
In production |
| Graham cloud |
|
|
In production |