Last modified by bschulle on 2022/06/14 08:39
From version 9.1
edited by bschulle
on 2020/10/08 09:46
Change comment: There is no comment for this version
To version 6.1
edited by bschulle
on 2020/10/07 11:14
Change comment: There is no comment for this version

Summary

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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= Using EBRAINS Supercomputers =
5 += My Collab's Extended Title =
6 6  
7 -Jobs, data, workflows with the UNICORE REST APIs and pyunicore client library
7 +My collab's subtitle
8 8  )))
9 9  )))
10 10  
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14 14  (((
15 15  = What can I find here? =
16 16  
17 -This collab contains examples on how to run jobs, access data and launch workflows on the supercomputing resources in EBRAINS.
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
18 18  
19 -The example Jupyter notebooks can be found [[on the "Lab" tab>>https://wiki.ebrains.eu/bin/view/Collabs/using-supercomputers-from-the-collab/Lab]]
20 -
21 -
22 22  = Who has access? =
23 23  
24 -This collab is intended for application developers and scientists who have access to one or more of the Supercomputers in EBRAINS that are connected via UNICORE.
25 -
26 -To use these examples, you need an HPC account and computing time on one of the following systems
27 -
28 -* JUSUF, JUWELS or JURECA at Jülich Supercomputing Centre
29 -* PIZ DAINT at CSCS
30 -* MARCONI at CINECA
31 -* MARE NOSTRUM at Barcelona Supercomputing Centre
32 -
33 -= Further information =
34 -
35 -The UNICORE REST API is documented here [[UNICORE REST API>>https://sourceforge.net/p/unicore/wiki/REST_API/||rel="noopener noreferrer" target="_blank"]]
36 -
37 -
23 +Describe the audience of this collab.
38 38  )))
39 39  
40 40