按时间顺序的垃圾收集的缓存性能

Yuping Ding, Xining Li
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引用次数: 2

摘要

本文对LVM系统中使用的时序垃圾收集算法的缓存性能进行了分析。LVM是Prolog的一种新型逻辑虚拟机。它对所有动态内存需求采用一个堆栈策略,并配合高效的垃圾收集算法——时间顺序垃圾收集——来回收空间,而不是作为故意的垃圾收集操作,而是作为LVM引擎收集有用对象的自然活动。该算法利用了传统的复制、标记压缩、分代和增量垃圾收集方案的优点。为了确定垃圾收集算法对缓存性能的改善,我们开发了一个仿真器来进行跟踪驱动的缓存仿真。模拟和测量了不同缓存大小、块大小和集合关联度的直接映射缓存和集合关联缓存。本次仿真的目的是验证和验证我们的实验结果,并找出影响CGC算法性能的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cache performance of chronological garbage collection
The paper presents the cache performance analysis of the Chronological Garbage Collection algorithm used in the LVM system. The LVM is a new Logic Virtual Machine for Prolog. It adopts one stack policy for all dynamic memory requirements and cooperates with an efficient garbage collection algorithm, Chronological Garbage Collection to recuperate space, not as deliberate garbage collection operation but as a natural activity of the LVM engine to gather useful objects. This algorithm takes advantages of the traditional copying, mark-compact, generational, and incremental garbage collection schemes. In order to determine the improvement of cache performance under our garbage collection algorithm, we developed an emulator to do the trace driven cache simulation. Direct mapped cache and set-associative cache with different cache sizes, block sizes and set associativities are simulated and measured. The objectives of this simulation are to verify and validate our experimental results, and to find important factors which influence the performance of the CGC algorithm.
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