NDLI: Broadcast filtering-aware task assignment techniques for low-power MPSoCs

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Broadcast filtering-aware task assignment techniques for low-power MPSoCs

Content Provider	ACM Digital Library
Author	Chung, Chun-Mok Kim, Jihong
Abstract	Broadcast filtering technique is useful in reducing the snoopenergy consumption of shared bus-based MPSoCs by intelligently avoiding useless coherency-request broadcasts. Since the patterns of coherency-request broadcasts are highly dependent on how concurrent tasks are assigned to multiple processors, a broadcast filtering-aware task assignment is important in achieving a high-level of energy efficiency for MPSoCs with a broadcast filtering support. In this paper, we propose broadcast filtering-aware task assignment techniques for low-power MPSoCs, taking advantage of the patterns of coherency-request broadcasts of given tasks. We first propose a restricted optimal task assignment technique that can be useful only when the number of tasks is equal to the number of processors. Then, we describe a general task assignment heuristic that can be used for the arbitrary number of tasks. Experimental results show that when the number of tasks is equal to the number of processors, the proposed optimal task assignment technique reduces the snoop energy consumption by 13% over naive task assignment cases. For general task sets, the proposed task assignment heuristic reduces the snoop energy consumption by 15% over naive task assignment cases.
Starting Page	89
Ending Page	96
Page Count	8
File Format	PDF
ISBN	9781595938077
DOI	10.1145/1327171.1327182
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-09-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mpsoc Energy reduction Snoop-based cache coherency Task assignment Broadcast filtering
Content Type	Text
Resource Type	Article

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