Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.02010 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866929246290575360 |
|---|---|
| author | McInnes, Lois Curfman Heroux, Michael Bernholdt, David E. Dubey, Anshu Gonsiorowski, Elsa Gupta, Rinku Marques, Osni Moulton, J. David Nam, Hai Ah Norris, Boyana Raybourn, Elaine M. Willenbring, Jim Almgren, Ann Bartlett, Ross Cranfill, Kita Fickas, Stephen Frederick, Don Godoy, William Grubel, Patricia Hartman-Baker, Rebecca Huebl, Axel Lynch, Rose Thakur, Addi Malviya Milewicz, Reed Miller, Mark C. Mundt, Miranda Palmer, Erik Parete-Koon, Suzanne Phinney, Megan Riley, Katherine Rogers, David M. Sims, Ben Stevens, Deborah Watson, Gregory R. |
| author_facet | McInnes, Lois Curfman Heroux, Michael Bernholdt, David E. Dubey, Anshu Gonsiorowski, Elsa Gupta, Rinku Marques, Osni Moulton, J. David Nam, Hai Ah Norris, Boyana Raybourn, Elaine M. Willenbring, Jim Almgren, Ann Bartlett, Ross Cranfill, Kita Fickas, Stephen Frederick, Don Godoy, William Grubel, Patricia Hartman-Baker, Rebecca Huebl, Axel Lynch, Rose Thakur, Addi Malviya Milewicz, Reed Miller, Mark C. Mundt, Miranda Palmer, Erik Parete-Koon, Suzanne Phinney, Megan Riley, Katherine Rogers, David M. Sims, Ben Stevens, Deborah Watson, Gregory R. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_02010 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability McInnes, Lois Curfman Heroux, Michael Bernholdt, David E. Dubey, Anshu Gonsiorowski, Elsa Gupta, Rinku Marques, Osni Moulton, J. David Nam, Hai Ah Norris, Boyana Raybourn, Elaine M. Willenbring, Jim Almgren, Ann Bartlett, Ross Cranfill, Kita Fickas, Stephen Frederick, Don Godoy, William Grubel, Patricia Hartman-Baker, Rebecca Huebl, Axel Lynch, Rose Thakur, Addi Malviya Milewicz, Reed Miller, Mark C. Mundt, Miranda Palmer, Erik Parete-Koon, Suzanne Phinney, Megan Riley, Katherine Rogers, David M. Sims, Ben Stevens, Deborah Watson, Gregory R. Computers and Society 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. |
| title | A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2311.02010 |