Wiki source code of HPC Resources
Version 9.1 by korculanin on 2024/06/10 13:07
Hide last authors
author | version | line-number | content |
---|---|---|---|
![]() |
1.1 | 1 | (% class="jumbotron" %) |
2 | ((( | ||
3 | (% class="container" %) | ||
4 | ((( | ||
![]() |
5.1 | 5 | = HPC Resources = |
![]() |
1.1 | 6 | |
![]() |
5.1 | 7 | for EBRAINS Users |
![]() |
1.1 | 8 | ))) |
9 | ))) | ||
10 | |||
11 | (% class="row" %) | ||
12 | ((( | ||
13 | (% class="col-xs-12 col-sm-8" %) | ||
14 | ((( | ||
![]() |
5.1 | 15 | The high-performance computing services for EBRAINS include: |
![]() |
1.1 | 16 | |
![]() |
9.1 | 17 | * Scalable Computing Services |
18 | Massively parallel HPC systems that are suitable for highly parallel brain simulations or for high-throughput data analysis tasks. | ||
19 | * Interactive Computing Services | ||
20 | Quick access to single compute servers to analyse and visualise data interactively, or to connect to running simulations, which are using the scalable compute services. | ||
21 | * ((( | ||
22 | Active Data Repositories | ||
23 | Site-local data repositories close to computational and/or visualization resources that are used for storing temporary replicas of data sets. In the near future they will typically be realised using parallel file systems. | ||
24 | ))) | ||
25 | * ((( | ||
26 | Archival Data Repositories | ||
27 | Federated data storage, optimized for capacity, reliability and availability that is used for long-term storage of large data sets which cannot be easily regenerated. These data stores allow the sharing of data with other researchers inside and outside of HBP | ||
28 | ))) | ||
![]() |
1.1 | 29 | |
![]() |
5.1 | 30 | Currently, we have in-kind resources available for EBRAINS users at: |
![]() |
1.1 | 31 | |
![]() |
5.1 | 32 | * CINECA: Galileo100 (scalable + interactive) |
33 | ** 3 M core-h, for EBRAINS members (developers) only | ||
34 | * JSC: JUSUF Cluster (available until 03/25) | ||
![]() |
5.2 | 35 | ** core-h according to availability |
36 | |||
![]() |
5.1 | 37 | |
38 | Further HPC resources are available through regular national calls at: | ||
39 | |||
![]() |
5.2 | 40 | * France: [[CEA>>https://www.edari.fr]] |
41 | * Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]] | ||
42 | * Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]] | ||
43 | * Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]] | ||
44 | |||
45 | |||
![]() |
5.1 | 46 | 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. |
47 | |||
48 | |||
49 | = (% style="font-family:inherit" %)How to apply for the EBRAINS in-kind resources(%%) = | ||
50 | |||
![]() |
8.1 | 51 | Applying for EBRAINS in-kind resources is straightforward and requires only a technical review. 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]]. |
![]() |
5.1 | 52 | |
53 | |||
54 | = (% style="font-family:inherit" %)Contact(%%) = | ||
55 | |||
56 | For further information concerning HPC resources, please contact us at [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]]. | ||
![]() |
1.1 | 57 | ))) |
58 | |||
59 | |||
60 | (% class="col-xs-12 col-sm-4" %) | ||
61 | ((( | ||
62 | {{box title="**Contents**"}} | ||
63 | {{toc/}} | ||
64 | {{/box}} | ||
65 | |||
66 | |||
67 | ))) | ||
68 | ))) |