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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/118322...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
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Experiment of Multithreading Symbolic and Algebraic Computations with OpenMP

Authors: Hirokazu Murao;

Experiment of Multithreading Symbolic and Algebraic Computations with OpenMP

Abstract

This paper describes the current status of a project for multithreading algebraic computations, which aims at the utilization of today’s high-spec PCs with hyperthreading or dual-core technologies. Our effort is done by applying OpenXM with minimal cost of development, and includes memory management in multithreaded environment. Our empirical results show that the performance gain can be attained in numeric cases and in some cases of purely symbolic computations.

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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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