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.
Model Type: Realistic Network
Region(s) or Organism(s): Generic
Model Concept(s): Methods
Simulation Environment: NEURON
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]
References:
Hines ML, Eichner H, Schürmann F. (2008). Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. Journal of computational neuroscience. 25 [PubMed]