一个时间可预测的对象缓存

Martin Schoeberl
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引用次数: 15

摘要

对于标准数据缓存来说,对堆上分配的数据进行静态缓存分析实际上是不可能的。我们为堆分配的数据提出了一个不同的对象缓存。在静态分析中,缓存与跟踪符号对象地址高度关联。缓存线被组织为保存单个对象,单个字段在miss上加载。这种缓存组织是静态可分析的,并提高了性能。本文介绍了在单处理器和多处理器版本的Java处理器JOP中对象缓存的设计和实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Time-Predictable Object Cache
Static cache analysis for data allocated on the heap is practically impossible for standard data caches. We propose a distinct object cache for heap allocated data. The cache is highly associative to track symbolic object addresses in the static analysis. Cache lines are organized to hold single objects and individual fields are loaded on a miss. This cache organization is statically analyzable and improves the performance. In this paper we present the design and implementation of the object cache in a uniprocessor and chip-multiprocessor version of the Java processor JOP.
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