|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||Implementing YewPar: a Framework for Parallel Tree Search|
|Citation:||Archibald B, Maier P, Stewart R & Trinder P (2019) Implementing YewPar: a Framework for Parallel Tree Search. In: Yahyapour R (ed.) Euro-Par 2019: Parallel Processing. Lecture Notes in Computer Science, 11725. Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, 26.08.2019-30.08.2019. Cham, Switzerland: Springer Verlag, pp. 184-196. https://doi.org/10.1007/978-3-030-29400-7_14|
|Series/Report no.:||Lecture Notes in Computer Science, 11725|
|Conference Name:||Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing|
|Conference Dates:||2019-08-26 - 2019-08-30|
|Conference Location:||Göttingen, Germany|
|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.|
|Status:||AM - Accepted Manuscript|
|Rights:||This is a post-peer-review, pre-copyedit version of a chapter published in Yahyapour R (ed.) Euro-Par 2019: Parallel Processing. Lecture Notes in Computer Science, 11725. Euro-Par 2019: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, 26.08.2019-30.08.2019. Cham, Switzerland: Springer Verlag, pp. 184-196. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-29400-7_14|
|Archibald_Maier_Stewart_Trinder_EuroPar2019_preprint.pdf||Fulltext - Accepted Version||350.83 kB||Adobe PDF||View/Open|
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