KIP publications

year 2021
author(s) Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
title Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
KIP-Nummer HD-KIP 21-24
KIP-Gruppe(n) F9
document type Paper
source arXiv:2103.15960
doi 10.1109/OJCAS.2022.3208413
Abstract (en)

We present the BrainScaleS-2 mobile system as a compact analog inference engine based on the BrainScaleS-2 ASIC and demonstrate its capabilities at classifying a medical electrocardiogram dataset. The analog network core of the ASIC is utilized to perform the multiply-accumulate operations of a convolutional deep neural network. At a system power consumption of 5.6 W, we measure a total energy consumption of 192 μJ for the ASIC and achieve a classification time of 276 μs per electrocardiographic patient sample. Patients with atrial fibrillation are correctly identified with a detection rate of (93.7±0.7)% at (14.0±1.0)% false positives. The system is directly applicable to edge inference applications due to its small size, power envelope, and flexible I/O capabilities. It has enabled the BrainScaleS-2 ASIC to be operated reliably outside a specialized lab setting. In future applications, the system allows for a combination of conventional machine learning layers with online learning in spiking neural networks on a single neuromorphic platform.

  author   = {Yannik Stradmann and Sebastian Billaudelle and Oliver Breitwieser and Falk Leonard Ebert and Arne Emmel and Dan Husmann and Joscha Ilmberger and Eric M{\"u}ller and Philipp Spilger and Johannes Weis and Johannes Schemmel},
  title    = {Demonstrating Analog Inference on the {BrainScaleS-2} Mobile System},
  journal  = {{IEEE} Open Journal of Circuits and Systems},
  year     = {2022},
  volume   = {3},
  pages    = {252--262},
  month    = {},
  doi      = {10.1109/OJCAS.2022.3208413},
  url      = {}
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URL arXiv preprint (2103.15960)
Datei pdf
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