This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.Keywords: discrete event simulation, scalability, spiking neural network, cognitive modelingAbstract:
We aim at achieving two goals. First, we want to measure scalability of a new optimistic discrete event simulator on runs on up to 3000 processors. Such a simulator would be of interest to the parallel discrete event simulation community or any one who wishes to use discrete event simulation to study large-scale complex systems that are far beyond the capacity of current simulators. The second goal is to implement a spiking neural network simulation on top of the new simulator, as the first example of real-world applications, to demonstrate that large-scale simulations of this type are possible. This may be particularly appealing to neuro-scientists and may eventually lead to the realistic simulation of the entire human brain.
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