Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Barry Rountree"'
Autor:
Barry Rountree, William Condee
Publikováno v:
Theatre Journal. 73:299-318
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646bf0e8e0c7baeee9871e445a8cc1bd
https://doi.org/10.1353/tj.2021.0069
https://doi.org/10.1353/tj.2021.0069
Autor:
William Condee, Barry Rountree
Publikováno v:
TDR/The Drama Review. 64:147-157
Code performs. Nonmaterial Performance (NMP), a framework using performance studies, actor-network theory, and vibrant matter, exposes how codes act in our world. Instead of focusing on the material residue of computation, NMP examines the unseen and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f606fbec5bed68828ff58d2fe62b8df2
https://doi.org/10.1162/dram_a_00969
https://doi.org/10.1162/dram_a_00969
Autor:
Barry Rountree, Adam Bertsch, Dong H. Ahn, Nathan A. Besaw, Brian Van Essen, Bronis R. de Supinski, Tapasya Patki, Ian Karlin
Publikováno v:
CLUSTER
Scalable management of user workloads on large-scale supercomputers remains a challenge due to the tradeoff between capturing adequate detail for analysis from various data sources and minimizing overhead. Co-designed frameworks, such as IBM’s Clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d932217895c814465195433b1b98c893
https://doi.org/10.1109/cluster48925.2021.00057
https://doi.org/10.1109/cluster48925.2021.00057
Publikováno v:
IPDPS
Production HPC clusters endure failures reducing computational capability and resource availability. Despite the presence of various failure prediction schemes for large-scale computing systems, a comprehensive understanding of how nodes fail conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d61183d369221a3a4e6e04e642eb52d
https://doi.org/10.1109/ipdps49936.2021.00035
https://doi.org/10.1109/ipdps49936.2021.00035
Autor:
Peter Caldwell, Chris Golaz, Peter Bogenschutz, Marcus Lier-Walqui, Aaron Donahue, Chris Vogl, Barry Rountree, Aniruddha Marathe, Tapasya Patki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f50d3bda7b494ddf17633ba9b0434d
https://doi.org/10.2172/1769663
https://doi.org/10.2172/1769663
Publikováno v:
IPDPS
Large-scale production systems are well known to encounter node failures, which affect compute capacity and energy. Both in HPC systems and enterprise data centers, combating failures is becoming challenging with increasing hardware and software comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07a00a34ed29516c4483dd26c0ba73e4
https://doi.org/10.1109/ipdps47924.2020.00115
https://doi.org/10.1109/ipdps47924.2020.00115
Publikováno v:
Parallel Computing. :102782
Power is becoming an increasingly scarce resource on the next generation of supercomputers, and should be used wisely to improve overall performance. One strategy for improving power usage is hardware overprovisioning, i.e., systems with more nodes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d5290ab03582ea997bb00058486687
https://doi.org/10.1016/j.parco.2021.102782
https://doi.org/10.1016/j.parco.2021.102782
Publikováno v:
ACM Transactions on Embedded Computing Systems. 16:1-19
Modern embedded systems are becoming more reliant on real-valued arithmetic as they employ mathematically complex vision algorithms and sensor signal processing. Double-precision floating point is the most commonly used precision in computer vision a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd7848779c38ca07b243108f9d3b666
https://doi.org/10.1145/3126519
https://doi.org/10.1145/3126519
Publikováno v:
SC
The US Department of Energy (DOE) has set a power target of 20-30MW on the first exascale machines. To achieve one exaflop under this power constraint, it is necessary to minimize wasteful consumption of power while striving to improve performance. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a105c39faeb0c433550cde7f0fee1b6e
https://doi.org/10.1145/3295500.3356150
https://doi.org/10.1145/3295500.3356150