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Contribution to a conference proceedings/Contribution to a book | FZJ-2015-05072 |
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2015
RWTh Aachen University
Please use a persistent id in citations: http://hdl.handle.net/2128/9076
Abstract: NEST is a simulator for spiking neural networks. It runs on ordinary desktop computers and notebooks, small clusters and supercomputers. Storing simulation data efficiently is essential for neuroscientific studies but is not trivial on supercomputers with centralized storage. To assess different I/O strategies and libraries, we have implemented a proxy which imitates the writing behavior of NEST. This proxy is useful in benchmarking and statistical analysis, and thus consequent optimization, without the complexity of running full NEST simulations.
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