tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference

Ingo Hoyer, Alexander Utz, Christoph Hoog Antink, Karsten Seidl

Open source

DOI
10.1088/1361-6579/ada8f0
Published
2025-01-29
Container
Physiological Measurement
Publisher
IOP Publishing
Open access
unknown

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BibTeX

@article{allodium:10.1088/1361-6579/ada8f0,
  title = {tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference},
  author = {Ingo Hoyer and Alexander Utz and Christoph Hoog Antink and Karsten Seidl},
  year = {2025},
  journal = {Physiological Measurement},
  doi = {10.1088/1361-6579/ada8f0},
  url = {https://doi.org/10.1088/1361-6579/ada8f0}
}

RIS

TY  - JOUR
TI  - tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference
AU  - Ingo Hoyer
AU  - Alexander Utz
AU  - Christoph Hoog Antink
AU  - Karsten Seidl
PY  - 2025
JO  - Physiological Measurement
DO  - 10.1088/1361-6579/ada8f0
UR  - https://doi.org/10.1088/1361-6579/ada8f0
ER  - 

APA

Hoyer, I., Utz, A., Antink, C. H., & Seidl, K. (2025). tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference. Physiological Measurement. https://doi.org/10.1088/1361-6579/ada8f0

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