NDLI: Towards self-adaptive MPSoC systems with adaptivity throttling

Content Provider	IEEE Xplore Digital Library
Author	Wei Quan Pimentel, A.D.
Copyright Year	2015
Description	Author affiliation: Inf. Inst., Univ. of Amsterdam, Amsterdam, Netherlands (Wei Quan) \|\| Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China (Pimentel, A.D.)
Abstract	Today's multi-processor system-on-chip (MPSoC) systems increasingly have to deal with dynamically changing application workload scenarios. To cope with such dynamic application behavior, these systems could dynamically adapt the mapping of application tasks onto the underlying system resources to improve the system's performance. However, such performance improvement comes at the cost of a system reconfiguration in which application tasks may have to be migrated between processors. This trade-off implies that reconfiguring the system is only beneficial when the performance gains outweight the re-configuration overhead. To address this problem for MPSoCs, this paper presents a scenario-based run-time resource management framework with the ability of adaptivity throttling that uses the history of application scenario execution behavior to predict the actual benefit of a system reconfiguration to allow for explicitly deciding (at runtime) whether or not to reconfigure. Experimental results reveal that our proposed approach substantially improves the system's efficiency as compared to MPSoCs that do not provide such intelligent reconfiguration control.
Starting Page	157
Ending Page	164
File Size	2897668
Page Count	8
File Format	PDF
ISBN	9781467373111
DOI	10.1109/SAMOS.2015.7363671
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-19
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Adaptation models Program processors Computational modeling Computer architecture Performance gain History
Content Type	Text
Resource Type	Article

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