用于恢复区域内未使用内存的低开销方法

Matthew Davis, P. Schachte, Z. Somogyi, H. Søndergaard
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引用次数: 7

摘要

自动化内存管理可以提高资源安全性和程序员的工作效率。一种方法是基于区域的内存管理[9](RBMM),它应用编译时推理来确定程序中可以安全回收内存的点。RBMM相对于传统垃圾收集(GC)的主要优点是避免了昂贵的运行时分析,这使得回收内存的速度要快得多。另一方面,GC不需要静态分析,并且在运行时操作,可以获得关于对象生命周期的更准确的信息。在本文中,我们提出了一种混合系统,它寻求结合两种方法的优点,同时避免了以前混合系统产生的开销。我们的系统还可以回收那些元素不再可达的数组段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A low overhead method for recovering unused memory inside regions
Automating memory management improves both resource safety and programmer productivity. One approach, region-based memory management [9] (RBMM), applies compile-time reasoning to identify points in a program at which memory can be safely reclaimed. The main advantage of RBMM over traditional garbage collection (GC) is the avoidance of expensive runtime analysis, which makes reclaiming memory much faster. On the other hand, GC requires no static analysis, and, operating at runtime, can have significantly more accurate information about object lifetimes. In this paper we propose a hybrid system that seeks to combine the advantages of both methods while avoiding the overheads that previous hybrid systems incurred. Our system can also reclaim array segments whose elements are no longer reachable.
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