Abstract: Shared L2 cache management in multicore real-time system

Gang Chen, Biao Hu, Kai Huang, Alois Knoll, Di Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In multicore system, shared cache interference has been recognized as one of the major factors that degrade the average performance as well as predictability of system. How to manage the shared cache in order to optimize the system performance while guaranteeing the system predictability is still an open issue. State-of-the-art techniques on this topic use page coloring to partition the shared cache at OS level. In this paper, we present a shared cache management scheme for multicore system. This shared cache management scheme supports way-based cache partitioning at hardware level, building task-level timetriggered reconfigurable-cache multicore system. We evaluated the proposed scheme w.r.t. different numbers of cores and cache modules and prototyped the constructed MPSoCs on FPGA.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170
Number of pages1
ISBN (Electronic)9781479951116
DOIs
StatePublished - 21 Jul 2014
Event22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014 - Boston, United States
Duration: 11 May 201413 May 2014

Publication series

NameProceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014

Conference

Conference22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014
Country/TerritoryUnited States
CityBoston
Period11/05/1413/05/14

Fingerprint

Dive into the research topics of 'Abstract: Shared L2 cache management in multicore real-time system'. Together they form a unique fingerprint.

Cite this