Nov 28, 2023 · The paper unveils a hardware-aware mechanism, IHSOpti, which incorporates hardware characteristics with software algorithms for DNN optimization.
To address this deficit, the paper unveils a hardware-aware mechanism, IHSOpti, which incorporates hardware characteristics with software algorithms for DNN ...
Feb 25, 2022 · We propose a comprehensive system that automatically and efficiently finds sub-networks from a pre-trained super-network that are optimized to different ...
Dec 9, 2024 · This climate-aware approach offers a deeper understanding of the time-dependent climate patterns that influence wind power generation, providing ...
We focus on the evolutionary design of components (such as ap- proximate multipliers and activation functions) of hardware accelerators, optimized precision ...
Aug 30, 2023 · We develop an hardware-aware retraining approach to systematically examine the accuracy of analog in-memory computing across multiple network topologies.
We focus on answering 3 main questions to address 3 challenges: • Challenge 1: hardware metrics are usually not differentiable and highly.
Sep 15, 2023 · Article on Hardware-aware approach to deep neural network optimization, published in Neurocomputing 559 on 2023-09-15 by Hengyi Li+1.
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We first propose three automated DNN design algorithms that directly optimize hardware metrics to push the frontier of efficient DNNs. ... hardware properties and ...
Huang, A review of deep learning in dentistry, Neurocomputing, № 554 https://doi.org/10.1016/j.neucom.2023.126629; Pande, Development and deployment of a ...