BrainScaleS large scale spike communication using extoll
The BrainScaleS Neuromorphic Computing System is currently connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for the currently used experiment mode, where neuronal networks cover at most one wafer module. When modelling networks of larger size, as for example...
Gespeichert in:
| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) Kapitel/Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
14 Dec 2021
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| Ausgabe: | Version v2 |
| In: |
Arxiv
Year: 2021, Pages: 1-3 |
| DOI: | 10.48550/arXiv.2111.15296 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.48550/arXiv.2111.15296 Verlag, lizenzpflichtig, Volltext: http://arxiv.org/abs/2111.15296 
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| Verfasserangaben: | Tobias Thommes, Niels Buwen, Andreas Grübl, Eric Müller, Ulrich Brüning, and Johannes Schemmel |
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| 520 | |a The BrainScaleS Neuromorphic Computing System is currently connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for the currently used experiment mode, where neuronal networks cover at most one wafer module. When modelling networks of larger size, as for example a full sized cortical microcircuit model, one has to think about connecting neurons across wafer modules to larger networks. This can be done, using the Extoll networking technology, which provides high bandwidth and low latencies, as well as a low overhead packet protocol format. | ||
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