Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Hai Ah Nam"'
Autor:
Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy Germann, Saryu Fensin, Kipton Barros
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
The accuracy of a machine-learned potential is limited by the quality and diversity of the training dataset. Here the authors propose an active learning approach to automatically construct general purpose machine-learning potentials here demonstrated
Externí odkaz:
https://doaj.org/article/f563b56affa04410a543a78699a94661
Autor:
Nan Ding, Samuel Williams, Hai Ah Nam, Taylor Groves, Muaaz Gul Awan, LeAnn Lindsey, Christopher Daley, Oguz Selvitopi, Leonid Oliker, Nicholas Wright
Publikováno v:
2022 IEEE/ACM International Workshop on Resource Disaggregation in High-Performance Computing (REDIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b11d82d8f83adcc5973022478a62224
https://doi.org/10.1109/resdis56595.2022.00006
https://doi.org/10.1109/resdis56595.2022.00006
Autor:
Taylor Groves, Chris Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaee2d3ff600c5ab088a432a2684bfff
https://doi.org/10.1109/pmbs56514.2022.00012
https://doi.org/10.1109/pmbs56514.2022.00012
Publikováno v:
Computing in Science & Engineering. 24:4-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6f0c51b76e4def913d33ef2667bfa2
https://doi.org/10.1109/mcse.2023.3261221
https://doi.org/10.1109/mcse.2023.3261221
Autor:
Khaled Z. Ibrahim, Tan Nguyen, Hai Ah Nam, Wahid Bhimji, Steven Farrell, Leonid Oliker, Michael Rowan, Nicholas J. Wright, Samuel Williams
Publikováno v:
2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407e3ef3a609ab2f3544999bb79bcd44
https://doi.org/10.1109/pmbs54543.2021.00007
https://doi.org/10.1109/pmbs54543.2021.00007
Autor:
Boyana Norris, David E. Bernholdt, Reed Milewicz, Stephen Hudson, Rebecca Hartman-Baker, Patricia Grubel, Christoph Junghans, Osni Marques, Jared O'Neal, Anshu Dubey, Satish Balay, Alicia Klinvex, Jean Schuler, Elsa Gonsiorowski, Hai Ah Nam, John David Moulton, Roscoe A. Bartlett, Todd Gamblin, Rinku Gupta, Michael A. Heroux, Paul Wolfenbarger, James M. Willenbring, Barry Smith, Katherine Riley, Ben Sims, Elaine M. Raybourn, Lisa Childers, Louis J. Vernon, Gregory R. Watson, Lois Curfman McInnes, Mark C. Miller, Judith Hill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be0c0c57a76eb1b757c2c18f9f1a1ce
https://doi.org/10.2172/1606662
https://doi.org/10.2172/1606662
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504359
ICCS (7)
ICCS (7)
Background: The increasing importance of software for the conduct of various types of research raises the necessity of proper testing to ensure correctness. The unique characteristics of the research software produce challenges in the testing process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb4d8032104436e8741f617d538d7b3
https://doi.org/10.1007/978-3-030-50436-6_33
https://doi.org/10.1007/978-3-030-50436-6_33
Publikováno v:
Parallel Computing. 90:102572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f357fcbb763ca8010b4d9a3c44bf976
https://doi.org/10.1016/j.parco.2019.102572
https://doi.org/10.1016/j.parco.2019.102572
Autor:
Hai Ah Nam, William N. Rust, W. D. Nystrom, David A. Pimentel, Anna Mataleena Pietarila Graham, Brandon Smith, Douglas W. Jacobsen, Terence John Tarnowsky
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad556434b5dd5c24074e293a34ab284
https://doi.org/10.2172/1431058
https://doi.org/10.2172/1431058