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1 Ergebnisse
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Systematically inferring I/O performance variability by exa..:
, In:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
,
Costa, Emily
;
Patel, Tirthak
;
Schwaller, Benjamin
.. - p. 1-15 , 2021
Link:
https://dl.acm.org/doi/10.1145/3458817.3476186
RT T1
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
: T1
Systematically inferring I/O performance variability by examining repetitive job behavior
UL https://suche.suub.uni-bremen.de/peid=acm-3476186&Exemplar=1&LAN=DE A1 Costa, Emily A1 Patel, Tirthak A1 Schwaller, Benjamin A1 Brandt, Jim M. A1 Tiwari, Devesh PB ACM YR 2021 K1 HPC K1 HPC I/O K1 distributed computing systems K1 machine learning K1 performance variability K1 storage systems K1 Computing methodologies K1 Distributed computing methodologies K1 Computer systems organization K1 Architectures K1 Networks K1 Network performance evaluation K1 Network protocols SP 1 OP 15 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3458817.3476186 DO https://dl.acm.org/doi/10.1145/3458817.3476186 SF ELIB - SuUB Bremen
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