TY - GEN
T1 - Hierarchically tiled arrays for parallelism and locality
AU - Jia, Guo
AU - Bikshandi, Ganesh
AU - Hoeflinger, Daniel
AU - Almasi, Gheorghe
AU - Fraguela, Basilio
AU - Garzarán, María Jesús
AU - Padua, David
AU - Von Praunt, Christoph
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - Parallel programming is facilitated by constructs which, unlike the widely used SPMD paradigm, provide programmers with a global view of the code and data structures. These constructs could be compiler directives containing information about data and task distribution, language extensions specifically designed for parallel computation, or classes that encapsulate parallelism. In this paper, we describe a class developed at Illinois and its MATLAB implementation. This class can be used to conveniently express both parallelism and locality. A C++ implementation is now underway. Its characteristics will be reported in a future paper. We have implemented most of the NAS benchmarks using our HTA MATLAB extensions and found during that HTAs enable the fast prototyping of parallel algorithms and produce programs that are easy to understand and maintain.
AB - Parallel programming is facilitated by constructs which, unlike the widely used SPMD paradigm, provide programmers with a global view of the code and data structures. These constructs could be compiler directives containing information about data and task distribution, language extensions specifically designed for parallel computation, or classes that encapsulate parallelism. In this paper, we describe a class developed at Illinois and its MATLAB implementation. This class can be used to conveniently express both parallelism and locality. A C++ implementation is now underway. Its characteristics will be reported in a future paper. We have implemented most of the NAS benchmarks using our HTA MATLAB extensions and found during that HTAs enable the fast prototyping of parallel algorithms and produce programs that are easy to understand and maintain.
UR - http://www.scopus.com/inward/record.url?scp=33847108581&partnerID=8YFLogxK
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U2 - 10.1109/IPDPS.2006.1639573
DO - 10.1109/IPDPS.2006.1639573
M3 - Conference contribution
AN - SCOPUS:33847108581
SN - 1424400546
SN - 9781424400546
T3 - 20th International Parallel and Distributed Processing Symposium, IPDPS 2006
BT - 20th International Parallel and Distributed Processing Symposium, IPDPS 2006
PB - IEEE Computer Society
T2 - 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006
Y2 - 25 April 2006 through 29 April 2006
ER -