NDLI: Scheduling Parallel Real-Time Tasks on Multi-core Processors

Content Provider	IEEE Xplore Digital Library
Author	Lakshmanan, K. Kato, S. Rajkumar, R.
Copyright Year	2010
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Lakshmanan, K.; Kato, S.; Rajkumar, R.)
Abstract	Massively multi-core processors are rapidly gaining market share with major chip vendors offering an ever increasing number of cores per processor. From a programming perspective, the sequential programming model does not scale very well for such multi-core systems. Parallel programming models such as OpenMP present promising solutions for more effectively using multiple processor cores. In this paper, we study the problem of scheduling periodic real-time tasks on multiprocessors under the fork join structure used in OpenMP. We illustrate the theoretical best-case and worst-case periodic fork-join task sets from a processor utilization perspective. Based on our observations of these task sets, we provide a partitioned preemptive fixed-priority scheduling algorithm for periodic fork-join tasks. The proposed multiprocessor scheduling algorithm is shown to have a resource augmentation bound of 3.42, which implies that any task set that is feasible on m unit speed processors can be scheduled by the proposed algorithm on m processors that are 3:42 times faster.
Starting Page	259
Ending Page	268
File Size	1979301
Page Count	10
File Format	PDF
ISBN	9780769542980
ISSN	10528725
DOI	10.1109/RTSS.2010.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transforms Instruction sets Real time systems Programming Scheduling Scheduling algorithm Multi-core Processors Real-Time Parallel Programming
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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