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Abstract: This thesis describes demand-based coscheduling, a new approach to scheduling parallel computations on multiprogrammed multiprocessors. In demand-based coscheduling, rather than making the pessimistic assumption that all the processes constituting a parallel job must be simultaneously scheduled in order to achieve good performance, information about which processes are communicating is used in order to coschedule only these; the resulting scheme is well-suited to implementation on a workstation ... (Update)
Context of citations to this paper: More
.... networks of workstations coscheduling can be achieved with little or no modification to existing multiprocessor operating systems [17, 35]. Unfortunately, for some job mixes, coscheduling is not appropriate. For example, a job mix consisting of one parallel computation and one...
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BibTeX entry: (Update)
P. Sobalvarro. Demand-based Coscheduling of Parallel Jobs on MultiprogrammedMultiprocessors. PhD thesis, MIT Laboratory for Computer Science, Feb. 1997. http://citeseer.ist.psu.edu/article/sobalvarro97demandbased.html More
@incollection{ sobalvarro95demandbased,
author = "Patrick G. Sobalvarro and William E. Weihl",
title = "Demand-Based Coscheduling of Parallel Jobs on Multiprogrammed Multiprocessors",
booktitle = "Job Scheduling Strategies for Parallel Processing",
publisher = "Springer-Verlag",
editor = "Dror G. Feitelson and Larry Rudolph",
pages = "106--126",
year = "1995",
url = "citeseer.ist.psu.edu/article/sobalvarro97demandbased.html" }
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