Title
Trends in Data Locality Abstractions for HPC Systems.
Abstract
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 only modest success in being adopted in HPC applications for various reasons. them However, with the in...
Year
DOI
Venue
2017
10.1109/TPDS.2017.2703149
IEEE Transactions on Parallel and Distributed Systems
Keywords
Field
DocType
Layout,Arrays,Market research,Distributed databases,Parallel processing,Libraries
Data structure,Locality,Memory hierarchy,Supercomputer,Computer science,Software portability,Distributed database,Energy consumption,Market research,Distributed computing
Journal
Volume
Issue
ISSN
28
10
1045-9219
Citations 
PageRank 
References 
9
0.47
40
Authors
21
Name
Order
Citations
PageRank
Didem Unat118917.71
Anshu Dubey211213.42
Torsten Hoefler32197163.64
John Shalf42353211.77
Mark J. Abraham5262.75
Mauro Bianco6100.85
Bradford L. Chamberlain784753.35
Romain Cledat8674.61
H. Carter Edwards913211.14
Hal Finkel1011418.43
Karl Fuerlinger1190.47
Frank Hannig1259575.66
Emmanuel Jeannot1390961.76
Amir Kamil1420212.00
J. Keasler15302.39
Paul H. J. Kelly161361112.65
Vitus J. Leung1727821.10
Hatem Ltaief1857047.47
Naoya Maruyama1983655.34
Chris J. Newburn2015810.72
Miquel Pericàs2110114.50