LRU-based column-associative caches

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Abstract
The column-associative cache is a direct-mapped cache that may be accessed more than once, each time with a different hash function, to satisfy a memory request. In the column-associative cache, the possible locations that a line can reside in defines the column. The original scheme relies on a rehash bit array to guide the replacement policy within the column. A subsequent proposal uses an index vector to speed up the cache search within the column. In this paper, we consider the idea of using the Least-Recently-Used (LRU) information to guide both the replacement policy and the search order. Results from trace-driven simulations using the SPEC95 benchmark suite show that the LRU-based scheme can achieve better or at least comparable performance.

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