Parallel network simulations with NEURON (Migliore et al 2006)

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Accession:64229
The NEURON simulation environment has been extended to support parallel network simulations. The performance of three published network models with very different spike patterns exhibits superlinear speedup on Beowulf clusters.
Reference:
1 . Migliore M, Cannia C, Lytton WW, Markram H, Hines ML (2006) Parallel network simulations with NEURON. J Comput Neurosci 21:119-29 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
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];
bg() {
	echo "bg $1 $2 $3"
	sed "
s/^ncell = 1000$/ncell = $2/
s/^ncon = 100$/ncon = $3/
/^pnm.prstat/d
/^want_all_spikes/d
/^pnm.gatherspikes/d
/^spike2file/d
" < init.hoc > init_.hoc
bgrun $5 $4 $1 init_.hoc
mv temp.$1 temp$5$1.$2.$3
}

if test "$1" != "" ; then
	bg $1 $2 $3 $4 $5
else

if false ; then # for testing
bg 10 1000 100 R1000
#bg 10 1000 100 R1000 VN
#bg 20 1000 1000 R1000
#bg 20 2000 100 R1000
#bg 50 10000 1000 R1000
fi

if false ; then

bg 128 262144 1000 R000 timed out
bg 256 262144 1000 R000 timed out
bg 512 262144 1000 R000
bg 1024 262144 1000 R00

bg 8192 262144 10000 R_32 VN
bg 4096 262144 10000 R_32
bg 2048 262144 10000 R0
bg 1024 262144 10000 R00

bg 8192 1048576 10000 R_32 VN
bg 4096 1048576 10000 R_32
bg 2048 1048576 10000 R0

fi

if false ; then

bg 128 65536 1000 R000
bg 256 65536 1000 R000
bg 512 65536 1000 R000
bg 1024 65536 1000 R00

bg 8192 262144 10000 R_32 VN
bg 4096 262144 10000 R_32
bg 2048 262144 10000 R0
bg 1024 262144 10000 R00
#bg 512 262144 10000 R000 # too large
fi

bg 128 65536 1000 R1000

fi

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