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https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2003 . Peer-reviewed
License: Springer Nature TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Hierarchical Models and Software Tools for Parallel Programming

Authors: Coppola M; Schmollinger M;

Hierarchical Models and Software Tools for Parallel Programming

Abstract

Hierarchically structured architectures are becoming more and more pervasive in the field of parallel and high performance computing. While memory hierarchies have been recognized for a long-time, only in the last years hierarchical parallel structures have gained importance, mainly as a result of the trend towards cluster architectures and high-performance application of computational grids.

Country
Italy
Keywords

Parallel computing, Out of core algorithms, Software tools, Multilevel Architecture, Hybrid parallelization

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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!
0
Average
Average
Average
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