Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling-Reference-Cited by-同舟云学术

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Rebooting Computing (ICRC)
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Author:

Aimone James B.¹,Lehoucq Richard¹,Severa William¹,Smith J. Darby¹

Affiliation:

1. Center for Computing Research,Sandia National Laboratories,Albuquerque,NM,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9743142/9743144/09743182.pdf?arnumber=9743182

Reference28 articles.

1. Low-power deep learning inference using the spinnaker neu-romorphic platform;vineyard;Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop,0

2. Neural Networks and Graph Algorithms with Next-Generation Processors

3. Non-neural network applications for spiking neuromorphic hardware;aimone;Proceedings of the Third International Workshop on Post Moores Era Supercomputing,0

4. Spiking network algorithms for scientific computing

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4. Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation;Proceedings of the International Conference on Neuromorphic Systems 2022;2022-07-27