Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

ACCESS: Smart scheduling for asymmetric cache CMPs

Authors: Xiaowei Jiang; Asit K. Mishra; Li Zhao 0002; Ravishankar R. Iyer 0001; Zhen Fang 0002; Sadagopan Srinivasan; Srihari Makineni; +2 Authors

ACCESS: Smart scheduling for asymmetric cache CMPs

Abstract

In current Chip-multiprocessors (CMPs), a significant portion of the die is consumed by the last-level cache. Until recently, the balance of cache and core space has been primarily guided by the needs of single applications. However, as multiple applications or virtual machines (VMs) are consolidated on such a platform, researchers have observed that not all VMs or applications require significant amount of cache space. In order to take advantage of this phenomenon, we explore the use of asymmetric last-level caches in a CMP platform. While asymmetric cache CMPs provide the benefit of reduced power and area, it is important to build in hardware/software support to appropriately schedule applications on to cores with suitable cache capacity. In this paper, we address this problem with our ACCESS architecture comprising of: (a) asymmetric caches across a group of cores, (b) hardware support that enables prediction of cache performance on the different sized caches and (c) OS scheduler support to make use of the prediction capability and appropriately schedule applications on to core with suitable cache capacity. Measurements on a working prototype using SPEC2006 benchmarks show that our ACCESS architecture can effectively schedule jobs in an asymmetric cache CMP and provide 23% performance improvement compared to a naive scheduler, and is 97% close to an oracle scheduler in making schedules.

Related Organizations
  • BIP!
    Impact byBIP!
    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).
    9
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
9
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!