{"title":"Evaluation of concurrent pools","authors":"D. Kotz, C. Ellis","doi":"10.1109/ICDCS.1989.37968","DOIUrl":null,"url":null,"abstract":"Performance considerations affecting the design of a mechanism that preserves locality and avoids high-latency remote references called the concurrent pools data structure are explored. The effectiveness of three different implementations of concurrent pools is evaluated. Experiments performed on a BBN Butterfly multiprocessor under a variety of workloads shown that the three implementations perform similarly well for light workloads, but that with stressful workloads it appears that a simple algorithm can provide better performance than a complex algorithm, designed to keep remote accesses to a minimum. Implementations can benefit by taking into account information on the nature of the operations performed by each process to help balance the elements among processes that need them.<<ETX>>","PeriodicalId":266544,"journal":{"name":"[1989] Proceedings. The 9th International Conference on Distributed Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1989-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. The 9th International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.1989.37968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Performance considerations affecting the design of a mechanism that preserves locality and avoids high-latency remote references called the concurrent pools data structure are explored. The effectiveness of three different implementations of concurrent pools is evaluated. Experiments performed on a BBN Butterfly multiprocessor under a variety of workloads shown that the three implementations perform similarly well for light workloads, but that with stressful workloads it appears that a simple algorithm can provide better performance than a complex algorithm, designed to keep remote accesses to a minimum. Implementations can benefit by taking into account information on the nature of the operations performed by each process to help balance the elements among processes that need them.<>
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并发池的计算
研究了影响保持局部性和避免高延迟远程引用(称为并发池数据结构)机制设计的性能考虑因素。评估了三种不同并发池实现的有效性。在BBN Butterfly多处理器上在各种工作负载下进行的实验表明,这三种实现在轻工作负载下的表现相似,但对于压力大的工作负载,似乎简单算法可以提供比复杂算法更好的性能,旨在将远程访问保持在最低限度。通过考虑每个过程所执行的操作的性质信息来帮助平衡需要它们的过程之间的元素,实现可以受益。
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