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An optimised lazy task creation technique for iterative and recursive computations

Lookup NU author(s): Professor Paul Watson, Professor Savas Parastatidis

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Abstract

This paper describes a new runtime technique for lazily exploiting parallelism in iterative and recursive computations. The technique is based around the Tasklet, a construct used to represent a task that could be executed in parallel if that is necessary to keep the system busy, or inline if not. The major advantage of this technique, when compared to previous schemes, is that only one Tasklet is created for a whole iterative or recursive computation, rather than one for each iteration of a loop or for every potentially parallel call in a recursion. The techniques are used by NIP [1,2], a runtime system for parallel platforms (including networks of workstations), that supports implicitly parallel languages combining both functional and object-oriented programming. In the paper, the design and usage of Tasklets is described, and performance results presented.


Publication metadata

Author(s): Watson P; Parastatidis S

Editor(s): Arabnia, HR

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Parallel and Distributed Processing Techniques and Applications

Year of Conference: 1999

Pages: 1971-1977

Publisher: CSREA Press

Library holdings: Search Newcastle University Library for this item

Series Title: INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, PROCEEDINGS

ISBN: 1892512157


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