A cast of thousands: How the IDEAS Productivity project has advanced
software productivity and sustainability
- URL: http://arxiv.org/abs/2311.02010v2
- Date: Fri, 16 Feb 2024 21:25:27 GMT
- Title: A cast of thousands: How the IDEAS Productivity project has advanced
software productivity and sustainability
- Authors: Lois Curfman McInnes, Michael Heroux, David E. Bernholdt, Anshu Dubey,
Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam,
Boyana Norris, Elaine M. Raybourn, Jim Willenbring, Ann Almgren, Ross
Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William Godoy,
Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya
Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne
Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Ben Sims,
Deborah Stevens and Gregory R. Watson
- Abstract summary: Concerns are growing about the productivity of the developers of scientific software.
Members of the IDEAS project serve as catalysts to address these challenges.
This paper discusses how these synergistic activities are advancing scientific discovery-mitigating technical risks.
- Score: 1.3083336716269756
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Computational and data-enabled science and engineering are revolutionizing
advances throughout science and society, at all scales of computing. For
example, teams in the U.S. DOE Exascale Computing Project have been tackling
new frontiers in modeling, simulation, and analysis by exploiting unprecedented
exascale computing capabilities-building an advanced software ecosystem that
supports next-generation applications and addresses disruptive changes in
computer architectures. However, concerns are growing about the productivity of
the developers of scientific software, its sustainability, and the
trustworthiness of the results that it produces. Members of the IDEAS project
serve as catalysts to address these challenges through fostering software
communities, incubating and curating methodologies and resources, and
disseminating knowledge to advance developer productivity and software
sustainability. This paper discusses how these synergistic activities are
advancing scientific discovery-mitigating technical risks by building a firmer
foundation for reproducible, sustainable science at all scales of computing,
from laptops to clusters to exascale and beyond.
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