Improving Trace Precision for Concurrent Garbage Collection on Multicore Platform

Hao Wu, Zhenzhou Ji
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Abstract

Garbage Collection removes the programmer's responsibility for managing heap object deal location, and is now in widespread use in programming languages such as Java, C#, Python and Perl. On the other hand garbage collection is the most difficult component to be parallel and concurrent in runtime system. This paper proposed a high precision concurrent tracing garbage collector based on tracing reference count. The concurrent collector is modeled, by using the reference count in recycling process, most of the modifications by the application thread are monitored. The barriers are classified as either store protection or deletion protection. In this paper, the approach can effectively track the modifications of the object references, reducing the number of objects in the process of rescanning process, while effectively reducing the of floating garbage during the concurrent collection.
提高多核平台并发垃圾回收跟踪精度
垃圾收集消除了程序员管理堆对象处理位置的责任,现在在Java、c#、Python和Perl等编程语言中广泛使用。另一方面,垃圾收集是运行时系统中最难实现并行和并发的组件。提出了一种基于跟踪引用计数的高精度并发跟踪垃圾收集器。对并发收集器进行建模,通过在回收过程中使用引用计数,对应用程序线程的大部分修改进行监控。这些屏障分为存储保护和删除保护。本文的方法可以有效地跟踪对象引用的修改,减少了重扫描过程中对象的数量,同时有效地减少了并发收集过程中的浮动垃圾。
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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