GPU-Accelerated Adjoint Algorithmic Differentiation.

Gremse F, Höfter A, Razik L, Kiessling F, Naumann U

Open source

DOI
10.1016/j.cpc.2015.10.027
Published
2016 Mar 1
Container
Computer physics communications
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.cpc.2015.10.027,
  title = {GPU-Accelerated Adjoint Algorithmic Differentiation.},
  author = {Gremse F and Höfter A and Razik L and Kiessling F and Naumann U},
  year = {2016},
  journal = {Computer physics communications},
  doi = {10.1016/j.cpc.2015.10.027},
  url = {https://doi.org/10.1016/j.cpc.2015.10.027}
}

RIS

TY  - JOUR
TI  - GPU-Accelerated Adjoint Algorithmic Differentiation.
AU  - Gremse F
AU  - Höfter A
AU  - Razik L
AU  - Kiessling F
AU  - Naumann U
PY  - 2016
JO  - Computer physics communications
DO  - 10.1016/j.cpc.2015.10.027
UR  - https://doi.org/10.1016/j.cpc.2015.10.027
ER  - 

APA

F, G., A, H., L, R., F, K., & U, N. (2016). GPU-Accelerated Adjoint Algorithmic Differentiation.. Computer physics communications. https://doi.org/10.1016/j.cpc.2015.10.027

Source records