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Software Training in HEP.
Malik, Sudhir; Meehan, Samuel; Lieret, Kilian; Oan Evans, Meirin; Villanueva, Michel H; Katz, Daniel S; Stewart, Graeme A; Elmer, Peter; Aziz, Sizar; Bellis, Matthew; Bianchi, Riccardo Maria; Bianco, Gianluca; Bonilla, Johan Sebastian; Burger, Angela; Burzynski, Jackson; Chamont, David; Feickert, Matthew; Gadow, Philipp; Gruber, Bernhard Manfred; Guest, Daniel; Hageboeck, Stephan; Heinrich, Lukas; Horzela, Maximilian M; Huwiler, Marc; Lange, Clemens; Lehmann, Konstantin; Li, Ke; Majumder, Devdatta; Mamuzic, Judita; Nelson, Kevin; Newhouse, Robin; Nibigira, Emery; Norberg, Scarlet; Pineda, Arturo Sánchez; Proffitt, Mason; Regnery, Brendan; Roepe, Amber; Roiser, Stefan; Schreiner, Henry; Shadura, Oksana; Stark, Giordon; Swatman, Stephen Nicholas; Thais, Savannah; Valassi, Andrea; Wunsch, Stefan; Yakobovitch, David; Yuan, Siqi.
Afiliação
  • Malik S; University of Puerto Rico, Mayaguez, PR USA.
  • Meehan S; CERN, Geneva, Switzerland.
  • Lieret K; Ludwig Maximilian University of Munich, Munich, Germany.
  • Oan Evans M; University of Sussex, Brighton, UK.
  • Villanueva MH; University of Mississippi, Oxford, MS USA.
  • Katz DS; University of Illinois at Urbana-Champaign, Champaign, IL USA.
  • Stewart GA; CERN, Geneva, Switzerland.
  • Elmer P; Princeton University, Princeton, NJ USA.
  • Aziz S; IJCLab, Université Paris-Saclay, CNRS/IN2P3, Orsay, France.
  • Bellis M; Siena College, Loudonville, NY USA.
  • Bianchi RM; University of Pittsburgh, Pittsburgh, PA USA.
  • Bianco G; University of Bologna, Bologna, Italy.
  • Bonilla JS; Istituto Nazionale di Fisica Nucleare (INFN), Rome, Italy.
  • Burger A; University of California Davis, Davis, CA USA.
  • Burzynski J; Oklahoma State University, Stillwater, OK 74078 USA.
  • Chamont D; University of Massachusetts, Amherst, MA USA.
  • Feickert M; IJCLab, Université Paris-Saclay, CNRS/IN2P3, Orsay, France.
  • Gadow P; University of Illinois at Urbana-Champaign, Champaign, IL USA.
  • Gruber BM; Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany.
  • Guest D; CERN, Geneva, Switzerland.
  • Hageboeck S; Center for Advanced Systems Understanding, Saxony, Germany.
  • Heinrich L; Technische Universität Dresden, Dresden, Germany.
  • Horzela MM; Humboldt University of Berlin, Berlin, Germany.
  • Huwiler M; CERN, Geneva, Switzerland.
  • Lange C; CERN, Geneva, Switzerland.
  • Lehmann K; Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
  • Li K; Universität Zürich, Zurich, Switzerland.
  • Majumder D; CERN, Geneva, Switzerland.
  • Mamuzic J; Simon Fraser University, Burnaby, BC Canada.
  • Nelson K; University of Washington, Seattle, WA USA.
  • Newhouse R; Institut RuƉer Boskovic, Zagreb, Croatia.
  • Nibigira E; Instituto de Fssica Corpuscular/Consejo Superior de Investigaciones Científicas, University of Valencia, Valencia, Spain.
  • Norberg S; University of Michigan, Ann Arbor, MI USA.
  • Pineda AS; University of British Columbia, Vancouver, Canada.
  • Proffitt M; Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France.
  • Regnery B; University of Puerto Rico, Mayaguez, PR USA.
  • Roepe A; LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France.
  • Roiser S; University of Washington, Seattle, WA USA.
  • Schreiner H; University of California Davis, Davis, CA USA.
  • Shadura O; University of Oklahoma, Norman, OK USA.
  • Stark G; CERN, Geneva, Switzerland.
  • Swatman SN; Princeton University, Princeton, NJ USA.
  • Thais S; University of Nebraska, Lincoln, NE USA.
  • Valassi A; Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, CA USA.
  • Wunsch S; CERN, Geneva, Switzerland.
  • Yakobovitch D; University of Amsterdam, Amsterdam, The Netherlands.
  • Yuan S; Princeton University, Princeton, NJ USA.
Comput Softw Big Sci ; 5(1): 22, 2021.
Article em En | MEDLINE | ID: mdl-34642648
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article