Wiki source code of HPC Resources
Version 11.1 by korculanin on 2024/06/10 13:11
Show last authors
| author | version | line-number | content |
|---|---|---|---|
| 1 | (% class="jumbotron" %) | ||
| 2 | ((( | ||
| 3 | (% class="container" %) | ||
| 4 | ((( | ||
| 5 | = HPC Resources = | ||
| 6 | |||
| 7 | for EBRAINS Users | ||
| 8 | ))) | ||
| 9 | ))) | ||
| 10 | |||
| 11 | (% class="row" %) | ||
| 12 | ((( | ||
| 13 | (% class="col-xs-12 col-sm-8" %) | ||
| 14 | ((( | ||
| 15 | The high-performance computing services for EBRAINS include: | ||
| 16 | |||
| 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 | * Active Data Repositories | ||
| 22 | ** 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. | ||
| 23 | * Archival Data Repositories | ||
| 24 | ** 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 | ||
| 25 | |||
| 26 | Currently, we have in-kind resources available for EBRAINS users at: | ||
| 27 | |||
| 28 | * CINECA: Galileo100 (scalable + interactive) | ||
| 29 | ** 3 M core-h, for EBRAINS members (developers) only | ||
| 30 | * JSC: JUSUF Cluster (available until 03/25) | ||
| 31 | ** core-h according to availability | ||
| 32 | |||
| 33 | |||
| 34 | Further HPC resources are available through regular national calls at: | ||
| 35 | |||
| 36 | * France: [[CEA>>https://www.edari.fr]] | ||
| 37 | * Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]] | ||
| 38 | * Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]] | ||
| 39 | * Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]] | ||
| 40 | |||
| 41 | |||
| 42 | 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. | ||
| 43 | |||
| 44 | |||
| 45 | = (% style="font-family:inherit" %)How to apply for the EBRAINS in-kind resources(%%) = | ||
| 46 | |||
| 47 | 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]]. | ||
| 48 | |||
| 49 | |||
| 50 | = (% style="font-family:inherit" %)Contact(%%) = | ||
| 51 | |||
| 52 | For further information concerning HPC resources, please contact us at [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]]. | ||
| 53 | ))) | ||
| 54 | |||
| 55 | |||
| 56 | (% class="col-xs-12 col-sm-4" %) | ||
| 57 | ((( | ||
| 58 | {{box title="**Contents**"}} | ||
| 59 | {{toc/}} | ||
| 60 | {{/box}} | ||
| 61 | |||
| 62 | |||
| 63 | ))) | ||
| 64 | ))) |