ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks

ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks

The posit number system aims to be a drop-in replacement of the existing IEEE floating-point standard. Its properties- tapered precision and high dynamic range, allow a smaller size posit to almost match the performance of a much larger size floating-point in representing decimals. This becomes espe...

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Bibliographic Details
Main Authors: Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Approximate posit multipliers
deep neural networks
energy-efficient
Online Access:https://ieeexplore.ieee.org/document/10445185/
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https://ieeexplore.ieee.org/document/10445185/

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