Harnessing Approximate Computing for Machine Learning

Salar Shakibhamedan, Amin Aminifar, Luke Vassallo, Nima TaheriNejad

Open source

DOI: 10.1109/isvlsi61997.2024.00110
Published: 2024-07-01
Container: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/isvlsi61997.2024.00110,
  title = {Harnessing Approximate Computing for Machine Learning},
  author = {Salar Shakibhamedan and Amin Aminifar and Luke Vassallo and Nima TaheriNejad},
  year = {2024},
  journal = {2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)},
  doi = {10.1109/isvlsi61997.2024.00110},
  url = {https://doi.org/10.1109/isvlsi61997.2024.00110}
}

RIS

TY  - JOUR
TI  - Harnessing Approximate Computing for Machine Learning
AU  - Salar Shakibhamedan
AU  - Amin Aminifar
AU  - Luke Vassallo
AU  - Nima TaheriNejad
PY  - 2024
JO  - 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
DO  - 10.1109/isvlsi61997.2024.00110
UR  - https://doi.org/10.1109/isvlsi61997.2024.00110
ER  -

APA

Shakibhamedan, S., Aminifar, A., Vassallo, L., & TaheriNejad, N. (2024). Harnessing Approximate Computing for Machine Learning. 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). https://doi.org/10.1109/isvlsi61997.2024.00110

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crossref · retrieved 2026-09-25T15:19:42.304Z