Program counter based techniques for dynamic power management

Chris Gniady, Y. Charlie Hu, Yung Hsiang Lu

Research output: Contribution to journalConference article

30 Scopus citations

Abstract

Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O activities in the operating system. The paper presents a complete design of Program-Counter Access Predictor (PCAP) that dynamically learns the access patterns of applications and predicts when an I/O device can be shut down to save energy. PCAP uses path-based correlation to observe a particular sequence of program counters leading to each idle period, and predicts future occurrences of that idle period. PCAP differs from previously proposed shutdown predictors in its ability to: (1) correlate I/O operations to particular behavior of the applications and users, (2) carry prediction information across multiple executions of the applications, and (3) attain better energy savings while incurring low mispredictions.

Original languageEnglish (US)
Pages (from-to)24-35
Number of pages12
JournalIEEE High-Performance Computer Architecture Symposium Proceedings
Volume10
StatePublished - May 24 2004
Externally publishedYes
EventProceedings - 10th International Symposium on High Performance Computer Architecture - Madrid, Spain
Duration: Feb 14 2004Feb 18 2004

ASJC Scopus subject areas

  • Hardware and Architecture

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