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Training deep neural networks with 8-bit floating point numbers N Wang, J Choi, D Brand, CY Chen, K Gopalakrishnan Advances in neural information processing systems 31, 2018 | 593 | 2018 |
Destruction of spin cycloid in (111) c-oriented BiFeO3 thin films by epitiaxial constraint: enhanced polarization and release of latent magnetization F Bai, J Wang, M Wuttig, JF Li, N Wang, AP Pyatakov, AK Zvezdin, ... Applied Physics Letters 86 (3), 2005 | 481 | 2005 |
X-ray and neutron diffraction investigations of the structural phase transformation sequence under electric field in 0.7 Pb (Mg1∕ 3Nb2∕ 3)-0.3 PbTiO3 crystal F Bai, N Wang, J Li, D Viehland, PM Gehring, G Xu, G Shirane Journal of Applied Physics 96 (3), 1620-1627, 2004 | 256 | 2004 |
Multiferroic properties of modified -based ceramics: Random-field induced release of latent magnetization and polarization N Wang, J Cheng, A Pyatakov, AK Zvezdin, JF Li, LE Cross, D Viehland Physical Review B—Condensed Matter and Materials Physics 72 (10), 104434, 2005 | 242 | 2005 |
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks X Sun, J Choi, CY Chen, N Wang, S Venkataramani, VV Srinivasan, X Cui, ... Advances in neural information processing systems 32, 2019 | 235 | 2019 |
Permanent magnets for MEMS DP Arnold, N Wang Journal of microelectromechanical systems 18 (6), 1255-1266, 2009 | 197 | 2009 |
Ultra-low precision 4-bit training of deep neural networks X Sun, N Wang, CY Chen, J Ni, A Agrawal, X Cui, S Venkataramani, ... Advances in Neural Information Processing Systems 33, 1796-1807, 2020 | 195 | 2020 |
A 2.5 D integrated voltage regulator using coupled-magnetic-core inductors on silicon interposer N Sturcken, EJ O'Sullivan, N Wang, P Herget, BC Webb, LT Romankiw, ... IEEE Journal of solid-state circuits 48 (1), 244-254, 2012 | 167 | 2012 |
A scalable multi-TeraOPS deep learning processor core for AI trainina and inference B Fleischer, S Shukla, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ... 2018 IEEE symposium on VLSI circuits, 35-36, 2018 | 153 | 2018 |
Modeling of magnetic vibrational energy harvesters using equivalent circuit representations S Cheng, N Wang, DP Arnold Journal of Micromechanics and Microengineering 17 (11), 2328, 2007 | 141 | 2007 |
Fe–Ga∕ Pb (Mg1∕ 3Nb2∕ 3) O3–PbTiO3 magnetoelectric laminate composites S Dong, J Zhai, N Wang, F Bai, JF Li, D Viehland, TA Lograsso Applied Physics Letters 87 (22), 2005 | 123 | 2005 |
Intermediate ferroelectric orthorhombic and monoclinic phases in [110] electric-field-cooled –30% crystals H Cao, F Bai, N Wang, J Li, D Viehland, G Xu, G Shirane Physical Review B—Condensed Matter and Materials Physics 72 (6), 064104, 2005 | 114 | 2005 |
DLFloat: A 16-b floating point format designed for deep learning training and inference A Agrawal, SM Mueller, BM Fleischer, X Sun, N Wang, J Choi, ... 2019 IEEE 26th Symposium on Computer Arithmetic (ARITH), 92-95, 2019 | 97 | 2019 |
A 2.5D integrated voltage regulator using coupled-magnetic-core inductors on silicon interposer delivering 10.8A/mm2 N Sturcken, E O'Sullivan, N Wang, P Herget, B Webb, L Romankiw, ... 2012 IEEE International Solid-State Circuits Conference, 400-402, 2012 | 96 | 2012 |
A comprehensive survey on hardware-aware neural architecture search H Benmeziane, KE Maghraoui, H Ouarnoughi, S Niar, M Wistuba, ... arXiv preprint arXiv:2101.09336, 2021 | 94 | 2021 |
Wax-bonded NdFeB micromagnets for microelectromechanical systems applications N Wang, BJ Bowers, DP Arnold Journal of Applied Physics 103 (7), 2008 | 82 | 2008 |
9.1 A 7nm 4-core AI chip with 25.6 TFLOPS hybrid FP8 training, 102.4 TOPS INT4 inference and workload-aware throttling A Agrawal, SK Lee, J Silberman, M Ziegler, M Kang, S Venkataramani, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 144-146, 2021 | 79 | 2021 |
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