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arXiv · 2103.00659

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
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Abstract

Long term sustainability of the high energy physics (HEP) research software ecosystem is essential for the field. With upgrades and new facilities coming online throughout the 2020s this will only become increasingly relevant throughout this decade. Meeting this 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++, 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 more specialized techniques. These include parallel programming, machine learning and data science tools, and techniques to preserve software projects at all scales. This paper dis-cusses the collective software training program in HEP and its activities 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 from which solutions to the computing challenges of HEP can be formed. Beyond serving the community by ensuring that members are able to pursue research goals, this program serves individuals by providing intellectual capital and transferable skills that are becoming increasingly important to careers in the realm of software and computing, whether inside or outside HEP

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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. 2021-02-28. Software Training in HEP. https://doi.org/10.1007/s41781-021-00069-9

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