(Enter summary)
Abstract: An important issue in multiprogrammed multiprocessor systems
is the scheduling of parallel jobs. Consequently, there has been a
considerable amount of analytic research in this area recently. A frequent
criticism, however, is that proposed disciplines that are studied analytically
are rarely ever implemented and even more rarely incorporated
into commercial scheduling software. In this paper, we seek to bridge
this gap by describing how at least one commercial scheduling system,
namely... (Update)
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BibTeX entry: (Update)
E. W. Parsons and K. C. Sevcik, "Implement- ing multiprocessor scheduling disciplines". In IPPS'97 Workshop Job Scheduling Strategies for Parallel Processing. http://citeseer.ist.psu.edu/479768.html More
@incollection{ parsons97implementing,
author = "Eric W. Parsons and Kenneth C. Sevcik",
title = "Implementing Multiprocessor Scheduling Disciplines",
booktitle = "Job Scheduling Strategies for Parallel Processing",
publisher = "Springer Verlag",
editor = "Dror G. Feitelson and Larry Rudolph",
pages = "166--192",
year = "1997",
url = "citeseer.ist.psu.edu/479768.html" }
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Benefits of speedup knowledge in memory-constrained multipro..
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Using Knowledge of Job Characteristics in Multiprogrammed Mu.. (context) - Parsons - 1997
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