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Provenance for Lattice QCD workflows
Conference or workshop item
Auge, Tanja
, Bali, Gunnar
, Klettke, Meike
, Ludäscher, Bertram, Söldner, Wolfgang
, Weishäupl, Simon
and 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.
DOI to cite this document: 10.5283/epub.55292
Abstract
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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| Item type | Conference or workshop item (UNSPECIFIED) | ||||
| ISBN | 978-1-4503-9419-2 | ||||
| Title of Book: | Companion Proceedings of the ACM Web Conference 2023 | ||||
|---|---|---|---|---|---|
| Publisher | Association for Computing Machinery | ||||
| Open Access Type | Assoc. of Comp. Machinery (ACM) | ||||
| Place of Publication | New York, United States | ||||
| Page Range | pp. 1524-1530 | ||||
| Date | 2023 | ||||
| Date of publication | 04 Jan 2024 10:22 | ||||
| Institutions | Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Gunnar Bali Informatics and Data Science > General computer science > Data Engineering (Prof. Dr.-Ing. Meike Klettke) | ||||
| Identification Number |
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| Dewey Decimal Classification | 000 Computer science, information & general works > 000 Generalities, Science 000 Computer science, information & general works > 004 Computer science 500 Science > 530 Physics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Partially | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-552925 | ||||
| Item ID | 55292 |
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