Adaptive granularity and coordinated management for timely prefetching in multi-core systems

Chia Jung Chang, Yin Chi Peng, Chien Chih Chen, Tien Fu Chen, Pen Chung Yew

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

For the last decade, there have been varying techniques for hardware prefetching to improve the system performance. However, untimely prefetching may pollution caches and resulting into significant performance degradation. In this work, we introduce an Adaptive Granularity and coordinated Prefetching (AGP) that consists of a coarse-grained and fine-grained prefetched mechanism to provide a better caching environment for parallel applications. AGP targets on the degree-adjusting and location-choosing and tries to minimize the influence caused by prefetcher for each core. AGP could produce more timely prefetched requests reducing the cache pollutions and contentions. Across a variety of PARSEC benchmarks, AGP can contribute 6.5% (up to 36%) of performance improvement on a 4-core multicore system compared to the non-prefetching.

Original languageEnglish (US)
Title of host publication2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479962754
DOIs
StatePublished - May 28 2015
Event2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 - Hsinchu, Taiwan, Province of China
Duration: Apr 27 2015Apr 29 2015

Publication series

Name2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015

Other

Other2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
CountryTaiwan, Province of China
CityHsinchu
Period4/27/154/29/15

Fingerprint Dive into the research topics of 'Adaptive granularity and coordinated management for timely prefetching in multi-core systems'. Together they form a unique fingerprint.

Cite this