Software

FZJ-2023-02512

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png JARDS - Joint Application, Review and Dispatch Service (v19.3.1)

Karbach, C.FZJ* ; Galonska, A.FZJ* ; Richerzhagen, M.FZJ* ; Celik, M. H.FZJ* ; Kamps, M.FZJ* ; Herrmann, B.FZJ* ; Erdweg, T. ; Dohmen, C.FZJ* ; Janetzko, S.FZJ* ; Wellmann, J.FZJ* ; Wardeh, M.FZJ* ; Simonis, J.FZJ* ; Janetzko, F.FZJ* ; Sadjadi, S.FZJ* ; Mades, L. ; Peters, R.FZJ* ; Valder, J. ; Zameitat, R. ; Frings, U.FZJ* ; Haine, M. ; Lua, J.

2023

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Please use a persistent id in citations: doi:10.5281/zenodo.8031686

Abstract: Allocation processes for High Performance Computing (HPC) resources like computing time or storage and data processing resources can contain complex workflows with different roles and user groups involved. We have designed and implemented the Joint Application, Review, and Dispatch Service (JARDS) software for the management of such processes. This web application is based on PHP and JavaScript using different open source libraries like Symfony, jQuery, Bootstrap and DataTables. For each phase of the process - application, review, and project phase - JARDS offers a separate, flexible customisable module with the appropriate functionality and a sophisticated, extendable role-based access model. For the interface between JARDS and the user administration of HPC centres a REST-API and a configurable event management is available.

Keyword(s): Information ; Web application ; Application for computing time

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5121 - Supercomputing & Big Data Facilities (POF4-512) (POF4-512)
2. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2023

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