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Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
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Accession:
97917
Neuron tree topology equations can be split into two subtrees and solved on different processors with no change in accuracy, stability, or computational effort; communication costs involve only sending and receiving two double precision values by each subtree at each time step. Application of the cell splitting method to two published network models exhibits good runtime scaling on twice as many processors as could be effectively used with whole-cell balancing.
Reference:
1 .
Hines ML, Eichner H, Schürmann F (2008) Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors.
J Comput Neurosci
25
:203-10
[
PubMed
]
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Model Information
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Model Type:
Realistic Network;
Brain Region(s)/Organism:
Generic;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Methods;
Implementer(s):
Hines, Michael [Michael.Hines at Yale.edu];
Download the displayed file
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splitcell
nrntraub
cells
hoc
mod
net
README
balcomp.hoc
*
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bgrunme
bgsmall.sh
bgsplit.sh
cell_templates.hoc
*
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A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
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clear.hoc
*
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A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
finit.hoc
*
Other models using finit.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
fortmap.hoc
*
Other models using fortmap.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
gidcell.hoc
gidcell.ses
*
Other models using gidcell.ses:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
init.hoc
manage_setup.hoc
metisbal.sh
mosinit_orig.hoc
*
Other models using mosinit_orig.hoc:
A single column thalamocortical network model (Traub et al 2005)
onecell.hoc
onecell.ses
*
Other models using onecell.ses:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
prcellstate.hoc
*
Other models using prcellstate.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
prepare.sh
printcon.hoc
*
Other models using printcon.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
spkplt.hoc
*
Other models using spkplt.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
vclampg.hoc
*
Other models using vclampg.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
vcompclamp.hoc
*
Other models using vcompclamp.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
vcompsim.hoc
*
Other models using vcompsim.hoc:
A single column thalamocortical network model (Traub et al 2005)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
//moddir mod {load_file("nrngui.hoc")} {load_file("spkplt.hoc")} {load_file("onecell.hoc")}