STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration

Jinshan Yue,Yongpan Liu,Ruoyang Liu,Wenyu Sun,Zhe Yuan,Yung-Ning Tu,Yi-Ju Chen,Ao Ren,Yanzhi Wang,Meng-Fan Chang,Xueqing Li,Huazhong Yang

IEEE Journal of Solid-State Circuits（2021）

引用 5|浏览112

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摘要

The emerging edge intelligence requires low-cost energy-efficient neural network (NN) processors. Supporting various types of edge NN models leads to extra circuit overhead. Designing a unified NN processor with high energy/area efficiency is challenging. This work presents a frequency-domain-accelerated unified NN processor, named STICKER-T. It combines algorithm, architecture, and circuit-level ...

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关键词

Artificial neural networks,Computer architecture,Frequency-domain analysis,Acceleration,Technological innovation,Integrated circuit modeling,Computational modeling

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