NDLI: Run-time Task Overlapping on Multiprocessor Platforms

Content Provider	IEEE Xplore Digital Library
Author	Zhe Ma Scarpazza, D.P. Catthoor, F.
Copyright Year	2007
Description	Author affiliation: IMEC, Leuven (Zhe Ma; Scarpazza, D.P.; Catthoor, F.)
Abstract	Today's embedded applications often consist of multiple concurrent tasks. These tasks are decomposed into sub-tasks which are in turn assigned and scheduled on multiple different processors to achieve the optimal performance/energy combination. Previous work introduced systematical approaches to make performance-energy trade-offs explorations for each individual task and used the exploration results at run-time to fulfill system-level constraints. However, they did not exploit the fact that the concurrent tasks can be executed in an overlapped fashion. In this paper, we propose a simple yet powerful online technique that performs task overlapping by run-time subtask re-scheduling. By doing so, a multiprocessor system with concurrent tasks can achieve better performance without extra energy consumption. We have applied our algorithm to a set of randomly-generated task graphs, obtaining encouraging improvements over non-overlapped task, and also having less overall energy consumption than a previous DVS method for real-time tasks. Then, we have demonstrated the algorithm on real-life video- and image-processing applications implemented on a dual-processor TITMS320C6202 board: We have achieved a reduction of 22-29% in the application execution time, while the impact of run-time scheduling overhead proved to be negligible (1.55%).
Starting Page	47
Ending Page	52
File Size	319234
Page Count	6
File Format	PDF
ISBN	9781424416547
DOI	10.1109/ESTMED.2007.4375801
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-04
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Energy consumption Base stations Runtime Job shop scheduling Multimedia systems Optimal scheduling Mobile handsets Voltage control Scheduling algorithm
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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