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 2017-10, Vol.28 (10), p.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:	Artikel
Sprache:	eng
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
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