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Software Training in HEP
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AbstractThe 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.
Springer Science and Business Media LLC
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
Title: Software Training in HEP
Description:
AbstractThe 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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