Advanced search
User account
Login
Register
Find models by
Model name
First author
Each author
Find models for
Brain region
Concept
Find models of
Realistic Microcircuits
Connectionist Networks
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Download zip file
Auto-launch
Help downloading and running models
Model Information
Model File
Versions
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
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
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];
/
splitcell
nrntraub
hoc
balcomp.hoc
*
Other models using balcomp.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)
binfo.hoc
*
Other models using binfo.hoc:
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
defvar.hoc
*
Other models using defvar.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)
karkar.hoc
lbcreate.hoc
*
Other models using lbcreate.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)
loadbal.hoc
*
Other models using loadbal.hoc:
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
mscreate.hoc
msdiv.hoc
*
Other models using msdiv.hoc:
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
parlib.hoc
parlib2.hoc
traubcon.hoc
*
Other models using traubcon.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)
traubcon_net.hoc
*
Other models using traubcon_net.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)
File not selected
<- Select file from this column.
