LightNN
Author:
Affiliation:
1. Carnegie Mellon University, pittsburgh, PA, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3060403.3060465
Reference28 articles.
1. Neural networks for classification: a survey
2. DjiNN and Tonic
3. Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators;Du Z.;ASP-DAC,2014
4. Neural acceleration for GPU throughput processors
5. New types of deep neural network learning for speech recognition and related applications: An overview;Deng L.;IEEE ICASSP,2013
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