Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint

Florent Lopez, Theo Mary

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DOI: 10.1177/10943420221136848
Published: 2023-01-03
Container: The International Journal of High Performance Computing Applications
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/10943420221136848,
  title = {Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint},
  author = {Florent Lopez and Theo Mary},
  year = {2023},
  journal = {The International Journal of High Performance Computing Applications},
  doi = {10.1177/10943420221136848},
  url = {https://doi.org/10.1177/10943420221136848}
}

RIS

TY  - JOUR
TI  - Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint
AU  - Florent Lopez
AU  - Theo Mary
PY  - 2023
JO  - The International Journal of High Performance Computing Applications
DO  - 10.1177/10943420221136848
UR  - https://doi.org/10.1177/10943420221136848
ER  -

APA

Lopez, F., & Mary, T. (2023). Mixed precision LU factorization on GPU tensor cores: reducing data movement and memory footprint. The International Journal of High Performance Computing Applications. https://doi.org/10.1177/10943420221136848

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crossref · retrieved 2026-09-25T02:30:36.988Z