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A low‐cost compensated approximate multiplier for Bfloat16 data processing on convolutional neural network inference

  • Published:2021-07-26 Issue:4 Volume:43 Page:684-693
  • ISSN:1225-6463
  • Container-title:ETRI Journal
  • language:en
  • Short-container-title:ETRI Journal

Author:

Kim HyunJin1ORCID

Affiliation:

1. School of EEE Dankook University Yongin Rep. of Korea

Funder

Dankook University

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Cited by 6 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. Approximate Vedic Multiplier Architecture for Efficient CNN Acceleration on Embedded Devices;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12

3. An Energy-efficient and Accuracy-adjustable bfloat16 Multiplier;Informacije MIDEM - Journal of Microelectronics, Electronic Components and Materials;2023-07-24

4. MLCNN‐COV: A multilabel convolutional neural network‐based framework to identify negative COVID medicine responses from the chemical three‐dimensional conformer;ETRI Journal;2023-05-14

5. Small Logarithmic Floating-Point Multiplier Based on FPGA and Its Application on MobileNet;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-12
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