Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic
Author:
Affiliation:
1. Politecnico di Torino,Control and Computer Eng. Dep.,Torino,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9936897/9936898/09936999.pdf?arnumber=9936999
Reference22 articles.
1. Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
2. Networks of spiking neurons: The third generation of neural network models;maass;Neural Networks,1997
3. FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks
4. Ieee standard for interval arithmetic;IEEE Std 1788–2015,2015
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