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Abstract:
Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological
properties of neurons and their connectivity, leading to an ever increasing computational
complexity of neural simulations. At the same time, a rather radical change in personal computer
technology emerges with the establishment of multi-cores: high-density, explicitly parallel
processor architectures for both high performance as well as standard desktop computers.
This work introduces strategies for the parallelization of biophysically realistic neural simulations
based on the compartmental modeling technique and results of such an implementation, with a
strong focus on multi-core architectures and automation, i.e. user-transparent load balancing.
