Sep 21, 2023 · In this paper, we propose SupeRBNN, an AQFP-based randomized BNN acceleration framework that leverages software-hardware co-optimization.
Dec 8, 2023 · In this paper, we propose SupeRBNN, an AQFP-based randomized BNN acceleration framework that leverages software-hardware co-optimization.
Oct 28, 2023 · SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO '23, October 28–November 01, 2023, Toronto ...
In this paper, we propose SupeRBNN, an AQFP-based randomized BNN acceleration framework that leverages software-hardware co-optimization.
In this paper, we propose SupeRBNN, an AQFP-based randomized BNN acceleration framework that leverages software-hardware co-optimization to eventually make the ...
In this paper, we propose SupeRBNN, an AQFP-based randomized BNN acceleration framework that leverages softwarehardware co-optimization.
Request PDF | On Dec 8, 2023, Zhengang Li and others published SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices ...
(MICRO 2023) SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. ... in Dynamic Parallelism in GPUs. (SIGMETRICS ...
Mar 7, 2024 · SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. #1. Zhengang Li. ,. Geng Yuan. ,. Tomoharu Yamauchi.
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices · no code implementations • 21 Sep 2023 • Zhengang Li, Geng Yuan ...