Ontology highlight
ABSTRACT:
SUBMITTER: Hines ML
PROVIDER: S-EPMC2430920 | biostudies-literature | 2008 Apr
REPOSITORIES: biostudies-literature
Journal of neuroscience methods 20070916 2
The increasing complexity of network models poses a growing computational burden. At the same time, computational neuroscientists are finding it easier to access parallel hardware, such as multiprocessor personal computers, workstation clusters, and massively parallel supercomputers. The practical question is how to move a working network model from a single processor to parallel hardware. Here we show how to make this transition for models implemented with NEURON, in such a way that the final r ...[more]