Omnisc'IO a grammar-based approach to spatial and temporal I/O patterns prediction

The increasing gap between the computation performance of post-petascale machines and the performance of their I/O subsystem has motivated many I/O optimizations including prefetching, caching, and scheduling techniques. In order to further improve these techniques, modeling and predicting spatial a...

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Vydáno v:	Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 623 - 634
Hlavní autoři:	Dorier, Matthieu, Ibrahim, Shadi, Antoniu, Gabriel, Ross, Rob
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Piscataway, NJ, USA IEEE Press 16.11.2014 IEEE
Edice:	ACM Conferences
Témata:	Computer systems organization > Dependable and fault-tolerant systems and networks Context Exascale General and reference > Cross-computing tools and techniques > Performance Grammar Hidden Markov models HPC I/O Libraries Networks > Network performance evaluation Omnisc'IO Prediction Prediction algorithms Predictive models Prefetching Software and its engineering > Software organization and properties > Contextual software domains > Operating systems > Communications management > Input > output Storage Theory of computation > Formal languages and automata theory > Formalisms > Rewrite systems Theory of computation > Formal languages and automata theory > Grammars and context-free languages grammar exascale I/O prediction HPC storage Omnisc'IO
ISBN:	1479955000, 9781479955008
ISSN:	2167-4329
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