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pro vyhledávání: '"Watson, Gregory R"'
Autor:
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.
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
Externí odkaz:
http://arxiv.org/abs/2311.02010
Autor:
Watson, Gregory R., Malviya-Thakur, Addi, Katz, Daniel S., Raybourn, Elaine M., Hoffman, Bill, Robinson, Dana, Kellerman, John, Roundy, Clark
Research software plays a crucial role in advancing scientific knowledge, but ensuring its sustainability, maintainability, and long-term viability is an ongoing challenge. The Sustainable Research Software Institute (SRSI) Model has been designed to
Externí odkaz:
http://arxiv.org/abs/2308.14954
Autor:
Watson, Gregory R., Malviya-Thakur, Addi, Katz, Daniel S., Raybourn, Elaine M., Hoffman, Bill, Robinson, Dana, Kellerman, John, Roundy, Clark
Research software plays a crucial role in advancing scientific knowledge, but ensuring its sustainability, maintainability, and long-term viability is an ongoing challenge. To address these concerns, the Sustainable Research Software Institute (SRSI)
Externí odkaz:
http://arxiv.org/abs/2308.14953
The present work investigates the modeling of pre-exascale input/output (I/O) workloads of Adaptive Mesh Refinement (AMR) simulations through a simple proxy application. We collect data from the AMReX Castro framework running on the Summit supercompu
Externí odkaz:
http://arxiv.org/abs/2206.00108
Autor:
Bernholdt, David E, Doucet, Mathieu, Godoy, William F, Malviya-Thakur, Addi, Watson, Gregory R
Publikováno v:
ICCS 2022, SE4Science Workshop
In the search for a sustainable approach for software ecosystems that supports experimental and observational science (EOS) across Oak Ridge National Laboratory (ORNL), we conducted a survey to understand the current and future landscape of EOS softw
Externí odkaz:
http://arxiv.org/abs/2204.05896
Autor:
Bernholdt, David E., Doucet, Mathieu, Godoy, William F., Malviya-Thakur, Addi, Watson, Gregory R.
Publikováno v:
In Journal of Computational Science July 2023 71
Autor:
Billings, Jay Jay, Bennett, Andrew R., Deyton, Jordan, Gammeltoft, Kasper, Graham, Jonah, Gorin, Dasha, Krishnan, Hari, Li, Menghan, McCaskey, Alexander J., Patterson, Taylor, Smith, Robert, Watson, Gregory R., Wojtowicz, Anna
Problems in modeling and simulation require significantly different workflow management technologies than standard grid-based workflow management systems. Computational scientists typically interact with simulation software in a feedback driven way w
Externí odkaz:
http://arxiv.org/abs/1704.01398
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Akademický článek
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