Filtering superfluous prefetches using density vectors

Wei Fen Lin, Steven K. Reinhardt, Doug Burger, Thomas R. Puzak

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

A previous evaluation of scheduled region prefetching showed that this technique eliminates the bulk of main-memory stall time for applications with spatial locality. The downside to that aggressive prefetching scheme is that, even when it successfully improves performance, it increases enormously the amount of superfluous memory traffic generated by a program. In this paper, we measure the predictability of spatial locality using density vectors, bit vectors that track the block-level access pattern within a region of memory. We evaluate a number of policies that use density vector information to filter out prefetches that are unlikely to be useful. We show, that, across our benchmarks, an average of 70% of useless prefetches can be eliminated with virtually no overall performance loss front reduced coverage. Thanks to the increase in prefetch accuracy a few benchmarks show performance improvements as high as 35% over the base region prefetching scheme.

Original languageEnglish
Article number21
Pages (from-to)124-132
Number of pages9
JournalProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
DOIs
Publication statusPublished - 2001

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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