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research article

Fully implicit parallel simulation of single neurons

Hines, Michael L
•
Markram, Henry  
•
Schürmann, Felix  
2008
Journal of computational neuroscience

When a multi-compartment neuron is divided into subtrees such that no subtree has more than two connection points to other subtrees, the subtrees can be on different processors and the entire system remains amenable to direct Gaussian elimination with only a modest increase in complexity. Accuracy is the same as with standard Gaussian elimination on a single processor. It is often feasible to divide a 3-D reconstructed neuron model onto a dozen or so processors and experience almost linear speedup. We have also used the method for purposes of load balance in network simulations when some cells are so large that their individual computation time is much longer than the average processor computation time or when there are many more processors than cells. The method is available in the standard distribution of the NEURON simulation program.

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Type
research article
DOI
10.1007/s10827-008-0087-5
Web of Science ID

WOS:000259438100002

PubMed ID

18379867

Author(s)
Hines, Michael L
Markram, Henry  
Schürmann, Felix  
Date Issued

2008

Published in
Journal of computational neuroscience
Volume

25

Issue

3

Start page

439

End page

48

Subjects

Computer Simulation

•

Models

•

Neurological

•

Neural Networks (Computer)

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LNMC  
GR-FSCH  
BBP-CORE  
Available on Infoscience
January 28, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/88286
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