受强制性开放获取政策约束的文章 - Ziqing Zeng了解详情
可在其他位置公开访问的文章:5 篇
Impedance spectroscopy and piezoelectric property of LiF-doped PZN–PZT low-temperature sintering piezoelectric ceramics
Z Zeng, Q Wu, M Hao, W Lu, G Fan, M Yuchi, M Ding
Journal of Materials Science: Materials in Electronics 29, 8279-8286, 2018
强制性开放获取政策: 国家自然科学基金委员会
VeriGOOD-ML: An open-source flow for automated ML hardware synthesis
H Esmaeilzadeh, S Ghodrati, J Gu, S Guo, AB Kahng, JK Kim, S Kinzer, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021
强制性开放获取政策: US Department of Defense
Energy-efficient hardware acceleration of shallow machine learning applications
Z Zeng, SS Sapatnekar
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
强制性开放获取政策: US Department of Defense
Physically accurate learning-based performance prediction of hardware-accelerated ml algorithms
H Esmaeilzadeh, S Ghodrati, AB Kahng, JK Kim, S Kinzer, S Kundu, ...
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 119-126, 2022
强制性开放获取政策: US National Science Foundation, US Department of Defense
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
R MAHAPATRA, SDEY MANASI, S SAPATNEKAR, Z WANG, Z ZENG
强制性开放获取政策: US National Science Foundation, US Department of Defense
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