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Part of book or chapter of book . 2007
Full-Text: https://publikationen.bibliothek.kit.edu/183796
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Part of book or chapter of book
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https://dx.doi.org/10.5445/ir/...
Other literature type . 1996
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KITopen
Part of book or chapter of book . 2007
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Part of book or chapter of book . 1996 . Peer-reviewed
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Dynamically adapting the degree of parallelism with reflexive programs

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type , Conference object , Article 01 Jan 1996 Germany Publisher:Springer Berlin Heidelberg
Authors: Reimer, Niels; Haenssgen, Stefan; Tichy, Walter F.;

doi: 10.1007/bfb0030122 , 10.5445/ir/183796

Dynamically adapting the degree of parallelism with reflexive programs

Abstract

In this paper we present a new method for achieving a higher cost-efficiency on parallel computers. We insert routines into a program which detect the amount of computational work without using problem-specific parameters and adapt the number of used CPUs at runtime under given speedup/efficiency constraints. Several user-tunable strategies for selecting the number of processors are presented and compared. The modularity of this approach and its application-independence permit a general use on parallel computers with a scalable degree of parallelism.

Country
Germany
Related Organizations
Keywords

ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004, 004

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Green