cfaed Publications
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layer-wise DNN Approximation
Reference
Cecilia De la Parra, Taha Soliman, Andre Guntoro, Akash Kumar, Norbert Wehn, "Increasing Throughput of In-Memory DNN Accelerators by Flexible Layer-wise DNN Approximation" (to appear), In IEEE Micro, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 2022. [doi]
Bibtex
@article{Cecilia_micro22,
doi = {MicroSI-2022-03-0032},
url = {https://cfaed.tu-dresden.de/cpd-publications},
year = 2022,
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
pages = {1--1},
author = {Cecilia De la Parra and Taha Soliman and Andre Guntoro and Akash Kumar and Norbert Wehn},
title = {Increasing Throughput of In-Memory DNN Accelerators by Flexible Layer-wise DNN Approximation},
journal = {{IEEE} Micro}
}
doi = {MicroSI-2022-03-0032},
url = {https://cfaed.tu-dresden.de/cpd-publications},
year = 2022,
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
pages = {1--1},
author = {Cecilia De la Parra and Taha Soliman and Andre Guntoro and Akash Kumar and Norbert Wehn},
title = {Increasing Throughput of In-Memory DNN Accelerators by Flexible Layer-wise DNN Approximation},
journal = {{IEEE} Micro}
}
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IEEE_MICRO_camera_ready [PDF]
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https://cfaed.tu-dresden.de/publications?pubId=3369