Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores

Chang Bae*, Lei Xia, Peter A Dinda, John Lange

*Corresponding author for this work

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

10 Scopus citations

Abstract

Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the VMM map virtual cores to physical cores? We compare a local mapping, which compacts virtual cores to processor sockets, and an interleaved mapping, which spreads them over the sockets. Simply choosing between these two mappings exposes clear tradeoffs between performance, energy, and power. We then describe the design, implementation, and evaluation of a system that automatically and dynamically chooses between the two mappings. The system consists of a set of efficient online VMM-based mechanisms and policies that (a) capture the relevant characteristics of memory reference behavior, (b) provide a policy and mechanism for configuring the mapping of virtual machine cores to physical cores that optimizes for power, energy, or performance, and (c) drive dynamic migrations of virtual cores among local physical cores based on the workload and the currently specified objective. Using these techniques we demonstrate that the performance of SPEC and PARSEC benchmarks can be increased by as much as 66%, energy reduced by as much as 31%, and power reduced by as much as 17%, depending on the optimization objective.

Original languageEnglish (US)
Title of host publicationHPDC '12 - Proceedings of the 21st ACM Symposium on High-Performance Parallel and Distributed Computing
Pages247-258
Number of pages12
DOIs
StatePublished - 2012
Event21st ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC '12 - Delft, Netherlands
Duration: Jun 18 2012Jun 22 2012

Publication series

NameHPDC '12 - Proceedings of the 21st ACM Symposium on High-Performance Parallel and Distributed Computing

Other

Other21st ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC '12
Country/TerritoryNetherlands
CityDelft
Period6/18/126/22/12

Keywords

  • Adaptation
  • NUMA
  • Virtualization

ASJC Scopus subject areas

  • Software

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