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Reducing Cache Pollution of Threaded Prefetching by Controlling Prefetch Distance

Authors: Yan Huang 0011; Zhimin Gu; Jie Tang 0003; Min Cai; Jianxun Zhang; Ninghan Zheng;

Reducing Cache Pollution of Threaded Prefetching by Controlling Prefetch Distance

Abstract

Threaded prefetching based on Chip Multiprocessor (CMP) issues memory requests for data needed later by the main computation, and therefore may lead to increased stress on limited shared cache space and bus bandwidth. In our earlier work, we had proposed an effective threaded prefetching technique that selects proper prefetch distance for specific application to improve the timeliness of prefetching. In this paper, we first estimate the upper limit of prefetch distance for specific application in our proposed threaded prefetching technique, and then analyze the effect of increasing prefetch distance on shared cache pollution. Our experimental evaluations indicated that the bounded range of effective prefetch distance can be determined using our method, and the shared cache pollution can be reduced by controlling prefetch distance in our proposed threaded prefetching technique.

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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!
4
Average
Average
Average
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