Demonstrating Analog Inference on the BrainScaleS-2 Mobile System

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System

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 conv...

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Bibliographic Details
Main Authors: Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Muller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Accelerator
analog computing
convolutional deep neural networks
electrocardiography
inference
low-power
Online Access:https://ieeexplore.ieee.org/document/9896927/

Internet

https://ieeexplore.ieee.org/document/9896927/

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