Fully implicit parallel simulation of single neurons
Journal of Computational Neuroscience(2008)
摘要
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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关键词
Computer simulation,Computer modeling,Neuronal networks,Load balance,Parallel simulation
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