Trends in Data Locality Abstractions for HPC Systems

The cost of data movement has always been an important concern in high performance computing (HPC) systems. It has now become the dominant factor in terms of both energy consumption and performance. Support for expression of data locality has been explored in the past, but those efforts have had onl...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 28; H. 10; S. 3007 - 3020
Hauptverfasser:	Unat, Didem, Dubey, Anshu, Hoefler, Torsten, Shalf, John, Abraham, Mark, Bianco, Mauro, Chamberlain, Bradford L., Cledat, Romain, Edwards, H. Carter, Finkel, Hal, Fuerlinger, Karl, Hannig, Frank, Jeannot, Emmanuel, Kamil, Amir, Keasler, Jeff, Kelly, Paul H. J., Leung, Vitus, Ltaief, Hatem, Maruyama, Naoya, Newburn, Chris J., Pericas, Miquel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Arrays Computation Computer Science data layout Data locality Data structures Distributed databases Distributed, Parallel, and Cluster Computing Energy consumption high-performance computing Layout Libraries locality-aware runtimes MATHEMATICS AND COMPUTING Parallel processing Productivity programming abstractions Trends data layout locality-aware runtimes programming abstractions Data locality high-performance computing
ISSN:	1045-9219, 1558-2183, 1558-2183
Online-Zugang:	Volltext
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