Changes for page HPC Resources in EBRAINS

Last modified by korculanin on 2025/10/09 18:33

From version 5.1
edited by korculanin
on 2024/06/10 11:35
Change comment: There is no comment for this version
To version 40.1
edited by korculanin
on 2025/01/29 10:44
Change comment: There is no comment for this version

Summary

Details

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Title
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1 -HPC Resources
1 +HPC Resources in EBRAINS
Content
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1 -(% class="jumbotron" %)
2 -(((
3 -(% class="container" %)
4 -(((
5 -= HPC Resources =
6 -
7 -for EBRAINS Users
8 -)))
9 -)))
10 -
11 11  (% class="row" %)
12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
14 14  (((
5 +
6 +
15 15  The high-performance computing services for EBRAINS include:
16 16  
17 17  * Scalable Computing Services, massively parallel HPC systems that can, e.g., be used for large-scale simulations or heavy machine-learning workloads.
18 18  * Interactive Computing Services that allow the use of high-end single compute servers, e.g., to analyse and visualise data interactively or to connect to running simulations, which use scalable computing services.
19 -* Storage
20 -
21 21  
22 -Currently, we have in-kind resources available for EBRAINS users at:
12 += HPC Resources Available for EBRAINS 2.0 =
23 23  
24 -* CINECA: Galileo100 (scalable + interactive)
25 -** 3 M core-h, for EBRAINS members (developers) only
26 -* JSC: JUSUF Cluster (available until 03/25)
14 +Currently, available HPC resources for EBRAINS users at
15 +
16 +* CINECA: Galileo100
17 +** 3 M core-h for (% style="color:#2ecc71" %)EBRAINS members (developers) only
18 +* JSC: JUSUF Cluster (Available through at least (% style="color:#2ecc71" %)March 2026(%%))
27 27  ** core-h according to availability
28 28  
29 -Further HPC resources are available through regular national calls at:
30 -- France: [[CEA>>https://www.edari.fr]]
31 -- Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]]
32 -- Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]] 
33 -- Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]]
21 += How to Apply for HPC Resources =
34 34  
35 -In most cases, a prerequisite for the national calls is that the PI be affiliated with an academic institution located in the same country as the hosting site.
23 +Applying for HPC resources for both clusters (Galileo100 and JUSUF) is straightforward and requires only a technical review.
36 36  
25 +{{info}}
26 +Use the provided [[template>>https://drive.ebrains.eu/f/46b93975bde64a2e92e9/]] and send it to [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]].
27 +{{/info}}
37 37  
38 -= (% style="font-family:inherit" %)How to apply for the EBRAINS in-kind resources(%%) =
29 +==== ====
39 39  
40 -Applying for EBRAINS in-kind resources is straightforward and requires only a technical review. Use the provided [template](URL) and send it to [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]].
31 +==== Further HPC resources are available through regular national calls at: ====
41 41  
33 +* (% class="small" %)France: [[CEA>>https://www.edari.fr]]
34 +* (% class="small" %)Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]]
35 +* (% class="small" %)Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]]
36 +* (% class="small" %)Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]]
42 42  
43 -= (% style="font-family:inherit" %)Contact(%%) =
38 +(% class="small" %)In most cases, a prerequisite for the national calls is that the PI be affiliated with an academic institution located in the same country as the hosting site.
44 44  
40 +
41 += Contact =
42 +
45 45  For further information concerning HPC resources, please contact us at [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]].
46 46  )))
47 47  
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49 49  (% class="col-xs-12 col-sm-4" %)
50 50  (((
51 51  {{box title="**Contents**"}}
52 -{{toc/}}
50 +{{toc depth="3"/}}
53 53  {{/box}}
54 54  
55 55  
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