Parallel Simulation of Pulse Coded Neural Networks

The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & fire neurons is very time consuming even on high performance computers. The use of parallel computers can speed up the simulation process. However, the different parallelization strategies investigated here, show that the network's communication structure has to be analyzed thoroughly, in order to optimize interprocessor communication and thus achieve good scaling results.