ΕxaNeSt INFN Data Traffic produced by proprietary DPSNN application
Description
DPSNN-STDP is a natively distributed mini-application benchmark representative of plastic spiking neural network simulators. Processes describe synapses in input to cluster of neurons with an irregular interconnection topology, with complex inter-process traffic patterns broadly varying in time and per process. This dataset is comprised of textual data set describing all the details of the inter-processor communication for five different neural network configurations. Each file contains a 3D numerical matrix describing, for each millisecond time-step of simulated neural activity (and for a total duration of 3 seconds of simulation) the size of the payload to be exchanged between all pairs of processes.
Resources
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Description |
Link |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-824095 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-824095 |
Tags
- european-union-(eu)
- euratom-research-and-training-programme-2014-2018
- h2020-human-brain-project-(hbp)
- dpsnn
- plastic-spiking-neural-network
- horizon-2020
- euratom
- large-scale-simulator