A Hardware/Software Co-Design Methodology for Adaptive Approximate Computing in clustering and ANN Learning

A Hardware/Software Co-Design Methodology for Adaptive Approximate Computing in clustering and ANN Learning

As one of the most promising energy-efficient emerging paradigms for designing digital systems, approximate computing has attracted a significant attention in recent years. Applications utilizing approximate computing (AxC) can tolerate some loss of quality in the computed results for attaining high...

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Bibliographic Details
Main Authors: Pengfei Huang, Chenghua Wang, Weiqiang Liu, Fei Qiao, Fabrizio Lombardi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Approximate computing
approximate multiplier
k-means clustering
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/9324944/

Internet

https://ieeexplore.ieee.org/document/9324944/

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