Optimal scheduling of in-situ analysis for large-scale scientific simulations

Today's leadership computing facilities have enabled the execution of transformative simulations at unprecedented scales. However, analyzing the huge amount of output from these simulations remains a challenge. Most analyses of this output is performed in post-processing mode at the end of the...

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Vydané v:	Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 1 - 11
Hlavní autori:	Malakar, Preeti, Vishwanath, Venkatram, Munson, Todd, Knight, Christopher, Hereld, Mark, Leyffer, Sven, Papka, Michael E.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 15.11.2015
Edícia:	ACM Conferences
Predmet:	Analytical models Bandwidth Computational modeling Computer systems organization > Dependable and fault-tolerant systems and networks Computing methodologies > Modeling and simulation > Simulation types and techniques Data models Data visualization General and reference > Cross-computing tools and techniques > Performance Kernel Networks > Network performance evaluation Optimization Theory of computation > Design and analysis of algorithms > Approximation algorithms analysis > Scheduling algorithms Theory of computation > Design and analysis of algorithms > Online algorithms > Online learning algorithms > Scheduling algorithms Theory of computation > Theory and algorithms for application domains > Machine learning theory > Reinforcement learning > Sequential decision making scheduling analysis in-situ optimization simulation
ISBN:	1450337236, 9781450337236
ISSN:	2167-4337
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