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Trends in Data Locality Abstractions for HPC Systems:

Unat, Didem ; Dubey, Anshu ; Hoefler, Torsten...
info:eu-repo/semantics/altIdentifier/doi/10.1109/TPDS.2017.2703149. , 2017

Link: https://hal.inria.fr/hal-01621371

RT Journal
T1 <Title>Trends in Data Locality Abstractions for HPC Systems</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftccsdartic:oai:HAL:hal-01621371v1&Exemplar=1&LAN=DE
				
A1 Unat, Didem
A1 Dubey, Anshu
A1 Hoefler, Torsten
A1 Shalf, John
A1 Abraham, Mark
A1 Bianco, Mauro
A1 Chamberlain, Bradford L
A1 Cledat, Romain
A1 Edwards, H. Carter
A1 Finkel, Hal
A1 Fuerlinger, Karl
A1 Hannig, Frank
A1 Jeannot, Emmanuel
A1 Kamil, Amir
A1 Keasler, Jeff
A1 Kelly, Paul H J
A1 Leung, Vitus
A1 Ltaief, Hatem
A1 Maruyama, Naoya
A1 Newburn, Chris J
A1 Pericàs, Miquel
PB HAL CCSD; Institute of Electrical and Electronics Engineers
YR 2017
K1 Data locality
K1 programming abstractions
K1 high-performance computing
K1 data layout
K1 locality-aware runtimes
K1 [INFO.INFO-DC]Computer Science [cs]/Distributed
K1 Parallel
K1 and Cluster Computing [cs.DC]
JF info:eu-repo/semantics/altIdentifier/doi/10.1109/TPDS.2017.2703149
LK http://dx.doi.org/https://hal.inria.fr/hal-01621371
DO https://hal.inria.fr/hal-01621371
SF ELIB - SuUB Bremen

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