Scalable shared-cache management by containing thrashing workloads

  • Authors:
  • Yuejian Xie;Gabriel H. Loh

  • Affiliations:
  • Georgia Institute of Technology, College of Computing;Georgia Institute of Technology, College of Computing

  • Venue:
  • HiPEAC'10 Proceedings of the 5th international conference on High Performance Embedded Architectures and Compilers
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Multi-core processors with shared last-level caches are vulnerable to performance inefficiencies and fairness issues when the cache is not carefully managed between the multiple cores. Cache partitioning is an effective method for isolating poorly-interacting threads from each other, but designing a mechanism with simple logic and low area overhead will be important for incorporating such schemes in future embedded multi-core processors. In this work, we identify that major performance problems only arise when one or more “thrashing” applications exist. We propose a simple yet effective Thrasher Caging (TC) cache management scheme that specifically targets these thrashing applications.