QuantMAC: Enhancing Hardware Performance in DNNs With Quantize Enabled Multiply-Accumulate Unit

QuantMAC: Enhancing Hardware Performance in DNNs With Quantize Enabled Multiply-Accumulate Unit

In response to the escalating demand for hardware-efficient Deep Neural Network (DNN) architectures, we present a novel quantize-enabled multiply-accumulate (MAC) unit. Our methodology employs a right shift-and-add computation for MAC operation, enabling runtime truncation without additional hardwar...

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Bibliographic Details
Main Authors: Neha Ashar, Gopal Raut, Vasundhara Trivedi, Santosh Kumar Vishvakarma, Akash Kumar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Approximate compute
bit-truncation
CORDIC
deep neural network
hardware accelerator
quantize processing element
Online Access:https://ieeexplore.ieee.org/document/10476602/

Internet

https://ieeexplore.ieee.org/document/10476602/

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