Follow
Naigang Wang
Naigang Wang
IBM T. J. Watson Research Center (nwang@us.ibm.com)
Verified email at us.ibm.com
Title
Cited by
Cited by
Year
Dramatically enhanced polarization in (001),(101), and (111) BiFeO3 thin films due to epitiaxial-induced transitions
J Li, J Wang, M Wuttig, R Ramesh, N Wang, B Ruette, AP Pyatakov, ...
Applied physics letters 84 (25), 5261-5263, 2004
6972004
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
5352018
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
4682005
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
2482004
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 72 (10), 104434, 2005
2132005
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
1982019
Permanent magnets for MEMS
DP Arnold, N Wang
Journal of microelectromechanical systems 18 (6), 1255-1266, 2009
1912009
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
1622012
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
1452018
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
1372020
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
1352007
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
1152005
Intermediate ferroelectric orthorhombic and monoclinic M B phases in [110] electric-field-cooled Pb (Mg 1∕ 3 Nb 2∕ 3) O 3–30% Pb Ti O 3 crystals
H Cao, F Bai, N Wang, J Li, D Viehland, G Xu, G Shirane
Physical Review B 72 (6), 064104, 2005
1122005
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
952012
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
842019
Wax-bonded NdFeB micromagnets for microelectromechanical systems applications
N Wang, BJ Bowers, DP Arnold
Journal of Applied Physics 103 (7), 2008
782008
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
752021
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
692021
A small, linear, piezoelectric ultrasonic cryomotor
S Dong, L Yan, N Wang, D Viehland, X Jiang, P Rehrig, W Hackenberger
Applied Physics Letters 86 (5), 2005
682005
RaPiD: AI accelerator for ultra-low precision training and inference
S Venkataramani, V Srinivasan, W Wang, S Sen, J Zhang, A Agrawal, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
642021
The system can't perform the operation now. Try again later.
Articles 1–20