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Software Training in HEP

Malik, S.; Meehan, S.; Lieret, K.; Oan Evans, M.; Villanueva, M. H.; Katz, D. S.; Stewart, G. A.; Elmer, P.; Aziz, S.; Bellis, M.; Bianchi, R. M.; Bianco, G.; Bonilla, J. S.; Burger, A.; Burzynski, J.; Chamont, D.; Feickert, M.; Gadow, P.; Gruber, B. M.; Guest, D.; ... mehr

The long-term sustainability of the high-energy physics (HEP) research software ecosystem is essential to the field. With new facilities and upgrades coming online throughout the 2020s, this will only become increasingly important. Meeting the sustainability challenge requires a workforce with a combination of HEP domain knowledge and advanced software skills. The required software skills fall into three broad groups. The first is fundamental and generic software engineering (e.g., Unix, version control, C++, and continuous integration). The second is knowledge of domain-specific HEP packages and practices (e.g., the ROOT data format and analysis framework). The third is more advanced knowledge involving specialized techniques, including parallel programming, machine learning and data science tools, and techniques to maintain software projects at all scales. This paper discusses the collective software training program in HEP led by the HEP Software Foundation (HSF) and the Institute for Research and Innovation in Software in HEP (IRIS-HEP). The program equips participants with an array of software skills that serve as ingredients for the solution of HEP computing challenges. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000139162
Veröffentlicht am 20.10.2021
DOI: 10.1007/s41781-021-00069-9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Theoretische Teilchenphysik (TTP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2510-2044, 2510-2036
KITopen-ID: 1000139162
Erschienen in Computing and Software for Big Science
Verlag Springer
Band 5
Heft 1
Seiten 22
Nachgewiesen in Scopus
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