NDLI: Scheduling of dynamic divide-and-conquer computations on multicomputers

Content Provider	IEEE Xplore Digital Library
Author	Karamcheti, V. Wah, B.W.
Copyright Year	1993
Description	Author affiliation: Coordinated Sci. Lab., Urbana, IL, USA (Karamcheti, V.)
Abstract	The scheduling of tasks for applications with dynamic behavior traditionally rely on externally observable metrics such as the number of active processes. This paper presents a new scheduling strategy based on the observation that it may be possible to capture the near-term resource requirements of active tasks by expressions involving task parameters. Run-time evaluation of these expressions yields estimates of task behavior that are valid over a short, future interval of time. The heuristics proposed, which when used in conjunction with information supplied by profiling, can be used to annotate the source program with such expressions. Preliminary simulation results show that the use of near-future estimates in a dynamic scheduling strategy for divide-and-conquer algorithms consistently improves over traditional dynamic strategies. The performance of this strategy approaches that of the best-known deterministic strategy while incurring an overhead of the same order as other dynamic strategies.<>
Starting Page	352
Ending Page	359
File Size	786417
Page Count	8
File Format	PDF
ISBN	0818644400
DOI	10.1109/CMPSAC.1993.404240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Dynamic scheduling Aerodynamics Job shop scheduling Runtime Yield estimation High performance computing Scheduling algorithm Problem-solving Control systems
Content Type	Text
Resource Type	Article

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