Affinity-based hash tables

Brian Gernhardt, Rahman Lavaee, C. Ding
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Abstract

From a trace of data accesses, it is possible to calculate an affinity hierarchy that groups related data together. Combining this hierarchy with the extremely common hash table, there is an opportunity to both improve cache performance and enable novel applications. This paper describes both the construction of the affinity hierarchy and its application to hash tables.
基于亲和力的哈希表
通过对数据访问的跟踪,可以计算出将相关数据分组在一起的关联层次结构。将这种层次结构与非常常见的散列表结合起来,就有机会既提高缓存性能,又启用新的应用程序。本文描述了关联层次结构的构造及其在哈希表中的应用。
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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