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Title:Software Directed Issue Queue Power Reduction
Authors: Sebastien Talpe ; Timothy Jones ; Michael O'Boyle ; Jaume Abella ; Antonio Gonzlez
Date:Feb 2005
Publication Title:11th International Symposium on High-Performance Computer Architecture (HPCA-11)
Publisher:IEEE
Publication Type:Conference Paper Publication Status:Published
Page Nos:144-153
DOI:10.1109/HPCA.2005.32
Abstract:
The issue logic of a superscalar processor dissipates a large amount of static and dynamic power. Furthermore, its power density makes it a hot-spot requiring expensive cooling systems and additional packaging.

In this paper we present a novel software assisted approach to power reduction where the processor dynamically resizes the issue queue based on compiler analysis. The compiler passes information to the processor about the number of entries needed which limits the number of instructions dispatched and resident in the queue. This saves power without adversely affecting performance. Compared with recently proposed hardware techniques, our approach is faster, simpler and saves more power. Using a simplistic scheme we achieve 47% dynamic and 31% static power savings in the issue queue with only a 2.2% performance loss. We then show that the performance loss can be reduced to less than 1.3% with 45% dynamic and 30% static power savings, outperforming all current approaches.

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Bibtex format
@InProceedings{EDI-INF-RR-1074,
author = { Sebastien Talpe and Timothy Jones and Michael O'Boyle and Jaume Abella and Antonio Gonzlez },
title = {Software Directed Issue Queue Power Reduction},
book title = {11th International Symposium on High-Performance Computer Architecture (HPCA-11)},
publisher = {IEEE},
year = 2005,
month = {Feb},
pages = {144-153},
doi = {10.1109/HPCA.2005.32},
url = {http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1385936},
}


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