Program Counter Based Techniques for Dynamic Power Management

C. Gniady, Y.C. Hu, Yung-Hsiang Lu
<i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/n7ljjecrpje5pj66pk4pvx65qu" style="color: black;">10th International Symposium on High Performance Computer Architecture (HPCA&#39;04)</a> </i> &nbsp;
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
more &raquo; ... unters 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hpca.2004.10021">doi:10.1109/hpca.2004.10021</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/hpca/GniadyHL04.html">dblp:conf/hpca/GniadyHL04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kej7jmishzhexcoaa74wgolbja">fatcat:kej7jmishzhexcoaa74wgolbja</a> </span>
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