Tools and techniques for automatic data layout: A case study

Parallel architectures with physically distributed memory providing computing cycles and large amounts of memory are becoming more and more common. To make such architectures truly usable, programming models and support tools are needed to ease the programming effort for these parallel systems. Auto...

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Bibliographic Details
Published in:Parallel computing Vol. 24; no. 3; pp. 557 - 578
Main Authors: Ayguadé, Eduard, Garcia, Jordi, Kremer, Ulrich
Format: Journal Article Publication
Language:English
Published: Elsevier B.V 01.05.1998
Subjects:
Alignment
Arquitectura de computadors
Arquitectures paral·leles
Automatic data and computation partitioning
Data locality
Distributed memory multiprocessor
Distribution
Informàtica
Linear 0–1 integer
Parallel processing (Electronic computers)
Processament en paral·lel (Ordinadors)
Programming technology
Remapping
Àrees temàtiques de la UPC
Automatic data and computation partitioning
Alignment
Data locality
Remapping
Distribution
Programming technology
Distributed memory multiprocessor
Linear 0–1 integer
ISSN:0167-8191, 1872-7336
Online Access:Get full text
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Summary:Parallel architectures with physically distributed memory providing computing cycles and large amounts of memory are becoming more and more common. To make such architectures truly usable, programming models and support tools are needed to ease the programming effort for these parallel systems. Automatic data distribution tools and techniques play an important role in achieving that goal. This paper discusses state-of-the-art approaches to fully automatic data and computation partitioning. A kernel application is used as a case study to illustrate the main differences of four representative approaches. The paper concludes with a discussion of promising future research directions for automatic data layout.
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ISSN:0167-8191
1872-7336
DOI:10.1016/S0167-8191(98)00025-8