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Reusable and Extensible High Level Data DistributionsThis paper presents a reusable design of a data distribution framework for data parallel high performance applications. We are implementing the design in the context of the Chapel high productivity programming language. Distributions in Chapel are a means to express locality in systems composed of large numbers of processor and memory components connected by a network. Since distributions have a great effect on,the performance of applications, it is important that the distribution strategy can be chosen by a user. At the same time, high productivity concerns require that the user is shielded from error-prone, tedious details such as communication and synchronization. We propose an approach to distributions that enables the user to refine a language-provided distribution type and adjust it to optimize the performance of the application. Additionally, we conceal from the user low-level communication and synchronization details to increase productivity. To emphasize the generality of our distribution machinery, we present its abstract design in the form of a design pattern, which is independent of a concrete implementation. To illustrate the applicability of our distribution framework design, we outline the implementation of data distributions in terms of the Chapel language.
Document ID
20080013193
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Diaconescu, Roxana E.
(California Inst. of Tech. Pasadena, CA, United States)
Chamberlain, Bradford
(Cray, Inc. Seattle, WA, United States)
James, Mark L.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Zima, Hans P.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
May 4, 2005
Subject Category
Mathematical And Computer Sciences (General)
Meeting Information
Meeting: Workshop on Patterns in High Performance Computing
Location: Urbana-Champaign, IL
Country: United States
Start Date: May 4, 2005
End Date: May 6, 2005
Funding Number(s)
CONTRACT_GRANT: DARPA NBCH3039003
Distribution Limits
Public
Copyright
Other
Keywords
patterns
data distributions
high performance computing

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