Software Training in HEP

Sudhir Malik; Samuel Meehan; Kilian Lieret; Meirin Oan Evans; Michel H. Villanueva; Daniel S. Katz; Graeme A. Stewart; Peter Elmer; Sizar Aziz; Matthew Bellis; Riccardo Maria Bianchi; Gianluca Bianco; Johan Sebastian Bonilla; Angela Burger; Jackson Burzynski; David Chamont; Matthew Feickert; Philipp Gadow; Bernhard Manfred Gruber; Daniel Guest; Stephan Hageboeck; Lukas Heinrich; Maximilian M. Horzela; Marc Huwiler; Clemens Lange; Konstantin Lehmann; Ke Li; Devdatta Majumder; Judita Mamužić; Kevin Nelson; Robin Newhouse; Emery Nibigira; Scarlet Norberg; Arturo Sánchez Pineda; Mason Proffitt; Brendan Regnery; Amber Roepe; Stefan Roiser; Henry Schreiner; Oksana Shadura; Giordon Stark; Stephen Nicholas Swatman; Savannah Thais; Andrea Valassi; Stefan Wunsch; David Yakobovitch; Siqi Yuan

doi:10.1007/s41781-021-00069-9

Software Training in HEP

Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel H. Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel GuestStephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamužić, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan

Research output: Contribution to journal › Article › peer-review

Abstract

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. Beyond serving the community by ensuring that members are able to pursue research goals, the program serves individuals by providing intellectual capital and transferable skills important to careers in the realm of software and computing, inside or outside HEP.

Original language	English (US)
Article number	22
Journal	Computing and Software for Big Science
Volume	5
Issue number	1
DOIs	https://doi.org/10.1007/s41781-021-00069-9
State	Published - Dec 2021

Keywords

HEP
Software
Training

ASJC Scopus subject areas

Software
Computer Science (miscellaneous)
Nuclear and High Energy Physics

Online availability

10.1007/s41781-021-00069-9

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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., ... Yuan, S. (2021). Software Training in HEP. Computing and Software for Big Science, 5(1), Article 22. https://doi.org/10.1007/s41781-021-00069-9

Malik, S, Meehan, S, Lieret, K, Oan Evans, M, Villanueva, MH, Katz, DS, Stewart, GA, Elmer, P, Aziz, S, Bellis, M, Bianchi, RM, Bianco, G, Bonilla, JS, Burger, A, Burzynski, J, Chamont, D, Feickert, M, Gadow, P, Gruber, BM, Guest, D, Hageboeck, S, Heinrich, L, Horzela, MM, Huwiler, M, Lange, C, Lehmann, K, Li, K, Majumder, D, Mamužić, J, Nelson, K, Newhouse, R, Nibigira, E, Norberg, S, Pineda, AS, Proffitt, M, Regnery, B, Roepe, A, Roiser, S, Schreiner, H, Shadura, O, Stark, G, Swatman, SN, Thais, S, Valassi, A, Wunsch, S, Yakobovitch, D & Yuan, S 2021, 'Software Training in HEP', Computing and Software for Big Science, vol. 5, no. 1, 22. https://doi.org/10.1007/s41781-021-00069-9

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abstract = "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. Beyond serving the community by ensuring that members are able to pursue research goals, the program serves individuals by providing intellectual capital and transferable skills important to careers in the realm of software and computing, inside or outside HEP.",

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AU - Meehan, Samuel

AU - Lieret, Kilian

AU - Oan Evans, Meirin

AU - Villanueva, Michel H.

AU - Katz, Daniel S.

AU - Stewart, Graeme A.

AU - Elmer, Peter

AU - Aziz, Sizar

AU - Bellis, Matthew

AU - Bianchi, Riccardo Maria

AU - Bianco, Gianluca

AU - Bonilla, Johan Sebastian

AU - Burger, Angela

AU - Burzynski, Jackson

AU - Chamont, David

AU - Feickert, Matthew

AU - Gadow, Philipp

AU - Gruber, Bernhard Manfred

AU - Guest, Daniel

AU - Hageboeck, Stephan

AU - Heinrich, Lukas

AU - Horzela, Maximilian M.

AU - Huwiler, Marc

AU - Lange, Clemens

AU - Lehmann, Konstantin

AU - Li, Ke

AU - Majumder, Devdatta

AU - Mamužić, Judita

AU - Nelson, Kevin

AU - Newhouse, Robin

AU - Nibigira, Emery

AU - Norberg, Scarlet

AU - Pineda, Arturo Sánchez

AU - Proffitt, Mason

AU - Regnery, Brendan

AU - Roepe, Amber

AU - Roiser, Stefan

AU - Schreiner, Henry

AU - Shadura, Oksana

AU - Stark, Giordon

AU - Swatman, Stephen Nicholas

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AU - Valassi, Andrea

AU - Wunsch, Stefan

AU - Yakobovitch, David

AU - Yuan, Siqi

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Software Training in HEP

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