Algorithmic-level Approximate Computing Applied to Energy Efficient HEVC Decoding

Erwan Nogues, Daniel Ménard, Maxime Pelcat

DOI: 10.1109/tetc.2016.2593644
Published: 2019-01-01
Container: IEEE Transactions on Emerging Topics in Computing
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tetc.2016.2593644,
  title = {Algorithmic-level Approximate Computing Applied to Energy Efficient HEVC Decoding},
  author = {Erwan Nogues and Daniel Ménard and Maxime Pelcat},
  year = {2019},
  journal = {IEEE Transactions on Emerging Topics in Computing},
  doi = {10.1109/tetc.2016.2593644},
  url = {https://doi.org/10.1109/tetc.2016.2593644}
}

RIS

TY  - JOUR
TI  - Algorithmic-level Approximate Computing Applied to Energy Efficient HEVC Decoding
AU  - Erwan Nogues
AU  - Daniel Ménard
AU  - Maxime Pelcat
PY  - 2019
JO  - IEEE Transactions on Emerging Topics in Computing
DO  - 10.1109/tetc.2016.2593644
UR  - https://doi.org/10.1109/tetc.2016.2593644
ER  -

APA

Nogues, E., Ménard, D., & Pelcat, M. (2019). Algorithmic-level Approximate Computing Applied to Energy Efficient HEVC Decoding. IEEE Transactions on Emerging Topics in Computing. https://doi.org/10.1109/tetc.2016.2593644

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hal · retrieved 2026-09-25T03:30:53.519Z