TaiYu Cheng

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

Top Topics

Design Methodology

Neural Network Training

Energy Minimization

Top Venues

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

Publications

TaiYu Cheng, Yutaka Masuda, Jun Nagayama, Yoichi Momiyama, Jun Chen, Masanori Hashimoto
Activation-Aware Slack Assignment Based Mode-Wise Voltage Scaling for Energy Minimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2022)
Yutaka Masuda, Jun Nagayama, TaiYu Cheng, Tohru Ishihara, Yoichi Momiyama, Masanori Hashimoto
Low-Power Design Methodology of Voltage Over-Scalable Circuit with Critical Path Isolation and Bit-Width Scaling. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2022)
Yutaka Masuda, Jun Nagayama, TaiYu Cheng, Tohru Ishihara, Yoichi Momiyama, Masanori Hashimoto
Critical Path Isolation and Bit-Width Scaling Are Highly Compatible for Voltage Over-Scalable Design. DATE (2021)
TaiYu Cheng, Masanori Hashimoto
Minimizing Energy of DNN Training with Adaptive Bit-Width and Voltage Scaling. ISCAS (2021)
TaiYu Cheng, Yukata Masuda, Jun Nagayama, Yoichi Momiyama, Jun Chen, Masanori Hashimoto
Mode-wise Voltage-scalable Design with Activation-aware Slack Assignment for Energy Minimization. ASP-DAC (2021)
TaiYu Cheng, Yukata Masuda, Jun Chen, Jaehoon Yu, Masanori Hashimoto
Logarithm-approximate floating-point multiplier is applicable to power-efficient neural network training. Integr. 74 (2020)
TaiYu Cheng, Jaehoon Yu, Masanori Hashimoto
Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier. PATMOS (2019)