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Collaborative Caching for Unknown Cache Sizes

Authors: Xiaoming Gu;

Collaborative Caching for Unknown Cache Sizes

Abstract

A number of hardware systems have been built or proposed to provide an interface for software to influence cache management. The combined software-hardware solution is called collaborative caching. Our previous work showed that in theory collaborative caching with LRU and MRU may enable a program to manage cache optimally. In this work we first present a prioritized LRU model. For each memory access, a program specifies a priority, the target cache position for the accessed datum, for all cache sizes. We have proved that the prioritized LRU holds inclusion property. Alternatively, we describe a dynamic cache control scheme based on the associated priority. The limitation of knowing cache size in our LRU-MRU collaborative caching work is removed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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