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  Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors

Hines, M. L., Eichner, H., & Schurmann, F. (2008). Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. Journal of Computational Neuroscience, 25(1), 203-210.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-213A-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-213B-0
Genre: Journal Article

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 Creators:
Hines, M. L.1, Author
Eichner, H.2, Author              
Schurmann, F.1, Author
Affiliations:
1Yale Univ, New Haven, CT 06520 USA.; Ecole Polytech Fed Lausanne, Brain Mind Inst, CH-1015 Lausanne, Switzerland., ou_persistent22              
2Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              

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Free keywords: computer simulation; computer modeling; neuronal networks; load balance; parallel simulation
 Abstract: -

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Language(s): eng - English
 Dates: 2008-08
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 367665
ISI: 000256824500012
 Degree: -

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Title: Journal of Computational Neuroscience
  Alternative Title : J. Comput. Neurosci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 25 (1) Sequence Number: - Start / End Page: 203 - 210 Identifier: ISSN: 0929-5313