Benchmarking Neuromorphic Hardware and Its Energy Expenditure

We propose and discuss a platform overarching benchmark suite for neuromorphic hardware. This suite covers benchmarks from low-level characterization to high-level application evaluation using benchmark specific metrics. With this rather broad approach we are able to compare various hardware systems...

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Bibliographic Details
Published in:Frontiers in Neuroscience
Main Authors: Christoph Ostrau, Christian Klarhorst, Michael Thies, Ulrich Rückert
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Subjects:
neuromorphic hardware
spiking neural network (SNN)
benchmark
deep neural network (DNN)
energy model
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.873935/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.873935/full

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