Hardware-Aware Reformulation of CNNs for Efficient Execution on Specialized AI Hardware: A Case Study on NVIDIA Tensor Cores

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Ganesh Bikshandi
DOI: 10.5281/zenodo.18156414
Cited by: 0

Fields of Study & Subjects

Advanced Neural Network Applications Physical Unclonable Functions (PUFs) and Hardware Security Embedded Systems Design Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026
Document type
Preprint