HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks-Reference-Cited by-同舟云学术

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HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

Published:2019-08 Issue:8 Volume:38 Page:1543-1556
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Li Zhe^ORCID,Li Ji^ORCID,Ren Ao,Cai Ruizhe,Ding Caiwen^ORCID,Qian Xuehai,Draper Jeffrey,Yuan Bo^ORCID,Tang Jian^ORCID,Qiu Qinru,Wang Yanzhi

Funder

Defense Advanced Research Projects Agency

National Natural Science Foundation of China

National Science Foundation

Consolider

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/8765487/08403283.pdf?arnumber=8403283

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Magnetic field-free stochastic computing based on the voltage-controlled magnetic tunnel junction;Applied Physics Letters;2024-05-20

2. P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

3. Stochastic Computing Convolution Neural Network Architecture Reinvented For Highly Efficient Artificial Intelligence Workload on Field Programmable Gate Array;Research;2024-01-08

4. Reduced-complexity Convolutional Neural Network in the compressed domain;Neural Networks;2024-01

5. From Multipliers to Integrators: A Survey of Stochastic Computing Primitives;IEEE Transactions on Nanotechnology;2024

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