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Provenance for Lattice QCD workflows
Auge, Tanja
, Bali, Gunnar
, Klettke, Meike
, Ludäscher, Bertram, Söldner, Wolfgang
, Weishäupl, Simon
und Wettig, Tilo
(2023)
Provenance for Lattice QCD workflows.
In: WWW '23: The ACM Web Conference 2023, 30 April 2023- 4 May 2023, Austin TX USA.
Veröffentlichungsdatum dieses Volltextes: 04 Jan 2024 10:22
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.55292
Zusammenfassung
We present a provenance model for the generic workflow of numerical Lattice Quantum Chromodynamics (QCD) calculations, which constitute an important component of particle physics research. These calculations are carried out on the largest supercomputers worldwide with data in the multi-PetaByte range being generated and analyzed. In the Lattice QCD community, a custom metadata standard (QCDml) ...
We present a provenance model for the generic workflow of numerical Lattice Quantum Chromodynamics (QCD) calculations, which constitute an important component of particle physics research. These calculations are carried out on the largest supercomputers worldwide with data in the multi-PetaByte range being generated and analyzed. In the Lattice QCD community, a custom metadata standard (QCDml) that includes certain provenance information already exists for one part of the workflow, the so-called generation of configurations.
In this paper, we follow the W3C PROV standard and formulate a provenance model that includes both the generation part and the so-called measurement part of the Lattice QCD workflow. We demonstrate the applicability of this model and show how the model can be used to answer some provenance-related research questions. However, many important provenance questions in the Lattice QCD community require extensions of this provenance model. To this end, we propose a multi-layered provenance approach that combines prospective and retrospective elements.
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| Dokumentenart | Konferenz- oder Workshop-Beitrag (Nicht ausgewählt) | ||||
| ISBN | 978-1-4503-9419-2 | ||||
| Buchtitel: | Companion Proceedings of the ACM Web Conference 2023 | ||||
|---|---|---|---|---|---|
| Verlag: | Association for Computing Machinery | ||||
| Ort der Veröffentlichung: | New York, United States | ||||
| Seitenbereich: | S. 1524-1530 | ||||
| Datum | 2023 | ||||
| Institutionen | Physik > Institut für Theoretische Physik > Lehrstuhl Professor Schäfer > Arbeitsgruppe Gunnar Bali Informatik und Data Science > Allgemeine Informatik > Data Engineering (Prof. Dr.-Ing. Meike Klettke) | ||||
| Identifikationsnummer |
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| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Allgemeines, Wissenschaft 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik 500 Naturwissenschaften und Mathematik > 530 Physik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Zum Teil | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-552925 | ||||
| Dokumenten-ID | 55292 |
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