Symposium on VLSI Technology and Circuits (VLSI Technolog… · 2025 · Journal article

Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive Search

Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Kerem Akarvardar, Meng‐Fan Chang, C.H. Diaz, Gert Cauwenberghs, Tajana Rosing, Mingu Kang

University of California San Diego · Taiwan Semiconductor Manufacturing Company (Taiwan)

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Published in: 2025 Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
Date: 2025-06-08
Citations: 5
arXiv: 2507.17953 ↗

Cite

@article{song2025clohdnn,
  title = {Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive Search},
  author = {Chang Eun Song and Weihong Xu and Keming Fan and Soumil Jain and Gopabandhu Hota and Haichao Yang and Leo Liu and Kerem Akarvardar and Meng‐Fan Chang and C.H. Diaz and Gert Cauwenberghs and Tajana Rosing and Mingu Kang},
  year = {2025},
  journal = {2025 Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)},
  eprint = {2507.17953},
  archivePrefix = {arXiv},
  doi = {10.23919/VLSITechnologyandCir65189.2025.11074827},
  url = {https://arxiv.org/abs/2507.17953},
}