Redundancy Pruning for Binary Hyperdimensional Computing Architectures-Reference-Cited by-同舟云学术

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Redundancy Pruning for Binary Hyperdimensional Computing Architectures

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Antonio Ryan Albert G.¹,Alvarez Anastacia B.¹

Affiliation:

1. University of the Philippines,Electrical and Electronics Engineering Institute,Diliman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937640.pdf?arnumber=9937640

Reference20 articles.

1. Exploring Hyperdimensional Associative Memory

2. CompHD: Efficient Hyperdimensional Computing Using Model Compression

3. IP-HDC: Information-Preserved Hyperdimensional Computing for Multi-Task Learning

4. Dynamic Hyperdimensional Computing for Improving Accuracy-Energy Efficiency Trade-Offs

5. Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics

Cited by 2 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. DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

2. Energy-Efficient Sparse Hyperdimensional Computing for Speech Recognition;2023 20th International SoC Design Conference (ISOCC);2023-10-25

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