NDLI: One-step algorithm for mixed data and task parallel scheduling without data replication

Content Provider	IEEE Xplore Digital Library
Author	Boudet, V. Desprez, F. Suter, F.
Copyright Year	2003
Description	Author affiliation: ALiENor/LaBRI, Talence, France (Boudet, V.)
Abstract	In this paper we propose an original algorithm for mixed data and task parallel scheduling. The main specificities of this algorithm are to simultaneously perform the allocation and scheduling processes, and avoid data replication. The idea is to base the scheduling on an accurate evaluation of each task of the application depending on the processor grid. Then no assumption is made with regard to the homogeneity of the execution platform. The complexity of our algorithm is given. Performance achieved by our schedules both in homogeneous and heterogeneous worlds, are compared to data-parallel executions for two applications: the complex matrix multiplication and the Strassen decomposition.
Sponsorship	IEEE Comput. Soc Tech. Committee on Parallel Process. IEEE Comput. Soc. Tech. Committee on Comput. Archit. IEEE Comput. Soc. Tech. Committee on Distrib. Process. ACM SIGARCH
File Size	330647
File Format	PDF
ISBN	0769519261
ISSN	15302075
DOI	10.1109/IPDPS.2003.1213127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scheduling algorithm Processor scheduling Parallel processing Concurrent computing Matrix decomposition Computer applications Scalability Computer languages Natural languages Data mining
Content Type	Text
Resource Type	Article

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