Alligator collector: a latency-optimized garbage collector for functional programming languages

B. Gamari, Laura Dietz
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引用次数: 2

Abstract

Modern hardware and applications require runtime systems that can operate under large-heap and low-latency requirements. For many client/server or interactive applications, reducing average and maximum pause times is more important than maximizing throughput. The GHC Haskell runtime system version 8.10.1 offers a new latency-optimized garbage collector as an alternative to the existing throughput-optimized copying garbage collector. This paper details the latency-optimized GC design, which is a generational collector integrating GHC's existing collector and bump-pointer allocator with a non-moving collector and non-moving heap suggested by Ueno and Ohori. We provide an empirical analysis on the latency/throughput tradeoffs. We augment the established nofib micro benchmark with a response-time focused benchmark that simulates real-world applications such as LRU caches, web search, and key-value stores.
鳄鱼收集器:针对函数式编程语言的延迟优化的垃圾收集器
现代硬件和应用程序需要能够在大堆和低延迟需求下运行的运行时系统。对于许多客户机/服务器或交互式应用程序,减少平均和最大暂停时间比最大化吞吐量更重要。GHC Haskell运行时系统版本8.10.1提供了一个新的延迟优化的垃圾收集器,作为现有吞吐量优化的复制垃圾收集器的替代方案。本文详细介绍了延迟优化的GC设计,它是一种分代收集器,将GHC现有的收集器和bump-pointer分配器与Ueno和Ohori建议的不移动收集器和不移动堆集成在一起。我们提供了一个关于延迟/吞吐量权衡的实证分析。我们用一个以响应时间为重点的基准来增强已建立的nofib微基准,该基准模拟了现实世界的应用程序,如LRU缓存、web搜索和键值存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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