Archibald, B. , Maier, P., Stewart, R. and Trinder, P. (2019) Implementing YewPar: a Framework for Parallel Tree Search. In: Euro-Par 2019, Göttingen, Germany, 26-30 August 2019, pp. 184-196. ISBN 9783030293994 (doi: 10.1007/978-3-030-29400-7_14)
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Abstract
Combinatorial search is central to many applications yet hard to parallelise. We argue for improving the reuse of parallel searches, and present the design and implementation of a new parallel search framework. YewPar generalises search by abstracting search tree generation, and by providing algorithmic skeletons that support three search types, together with a set of search coordination strategies. The evaluation shows that the cost of YewPar generality is low (6.1%); global knowledge is inexpensively shared between workers; irregular tasks are effectively distributed; and YewPar delivers good runtimes, speedups and efficiency with up to 255 workers on 17 localities.
Item Type: | Conference Proceedings |
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Additional Information: | Work supported by UK EPSRC Grants: S4: Science of Sensor Systems Soft- ware (EP/N007565/1); Border Patrol: Improving Smart Device Security through Type-Aware Systems Design (EP/N028201/1); AJITPar: Adaptive Just-In-Time Parallelisation (EP/L000687); and CoDiMa (EP/M022641). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Archibald, Dr Blair and Maier, Dr Patrick and Trinder, Professor Phil |
Authors: | Archibald, B., Maier, P., Stewart, R., and Trinder, P. |
College/School: | College of Science and Engineering > School of Computing Science |
ISSN: | 0302-9743 |
ISBN: | 9783030293994 |
Published Online: | 13 August 2019 |
Copyright Holders: | Copyright © 2019 Springer Nature Switzerland AG |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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