Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm

Mickaël Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik

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DOI: 10.1007/s11554-022-01240-0
Published: 2022-08-23
Container: Journal of Real-Time Image Processing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11554-022-01240-0,
  title = {Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm},
  author = {Mickaël Seznec and Nicolas Gac and François Orieux and Alvin Sashala Naik},
  year = {2022},
  journal = {Journal of Real-Time Image Processing},
  doi = {10.1007/s11554-022-01240-0},
  url = {https://doi.org/10.1007/s11554-022-01240-0}
}

RIS

TY  - JOUR
TI  - Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm
AU  - Mickaël Seznec
AU  - Nicolas Gac
AU  - François Orieux
AU  - Alvin Sashala Naik
PY  - 2022
JO  - Journal of Real-Time Image Processing
DO  - 10.1007/s11554-022-01240-0
UR  - https://doi.org/10.1007/s11554-022-01240-0
ER  -

APA

Seznec, M., Gac, N., Orieux, F., & Naik, A. S. (2022). Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm. Journal of Real-Time Image Processing. https://doi.org/10.1007/s11554-022-01240-0

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crossref · retrieved 2026-09-25T03:33:48.109Z