The SprayList: a scalable relaxed priority queue
| Autor: | Dan Alistarh, Jerry Li, Nir Shavit, Justin Kopinsky |
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| Přispěvatelé: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Kopinsky, Justin, Li, Jerry Zheng, Shavit, Nir N. |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | PPOPP MIT web domain |
| DOI: | 10.1145/2688500.2688523 |
| Popis: | High-performance concurrent priority queues are essential for applications such as task scheduling and discrete event simulation. Unfortunately, even the best performing implementations do not scale past a number of threads in the single digits. This is because of the sequential bottleneck in accessing the elements at the head of the queue in order to perform a DeleteMin operation. In this paper, we present the SprayList, a scalable priority queue with relaxed ordering semantics. Starting from a non-blocking SkipList, the main innovation behind our design is that the DeleteMin operations avoid a sequential bottleneck by "spraying'' themselves onto the head of the SkipList list in a coordinated fashion. The spraying is implemented using a carefully designed random walk, so that DeleteMin returns an element among the first O(p log[superscript 3] p) in the list, with high probability, where p is the number of threads. We prove that the running time of a DeleteMin operation is O(log[superscript 3] p), with high probability, independent of the size of the list. Our experiments show that the relaxed semantics allow the data structure to scale for high thread counts, comparable to a classic unordered SkipList. Furthermore, we observe that, for reasonably parallel workloads, the scalability benefits of relaxation considerably outweigh the additional work due to out-of-order execution. National Science Foundation (U.S.) (Grant CCF-1217921) National Science Foundation (U.S.) (Grant CCF-1301926) National Science Foundation (U.S.) (Grant IIS-1447786) United States. Dept. of Energy (Grant ER26116/DE-SC0008923) Oracle Corporation Intel Corporation |
| Databáze: | OpenAIRE |
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