Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

Autor: Xue, Ke, Chen, Ruo-Tong, Lin, Xi, Shi, Yunqi, Kai, Shixiong, Xu, Siyuan, Qian, Chao

In modern chip design, placement aims at placing millions of circuit modules, which is an essential step that significantly influences power, performance, and area (PPA) metrics. Recently, reinforcement learning (RL) has emerged as a promising techni

Externí odkaz: http://arxiv.org/abs/2412.07167

Macro Placement by Wire-Mask-Guided Black-Box Optimization

Autor: Shi, Yunqi, Xue, Ke, Song, Lei, Qian, Chao

The development of very large-scale integration (VLSI) technology has posed new challenges for electronic design automation (EDA) techniques in chip floorplanning. During this process, macro placement is an important subproblem, which tries to determ

Externí odkaz: http://arxiv.org/abs/2306.16844

Enhanced denitrification of sewage via bio-microcapsules embedding heterotrophic nitrification-aerobic denitrification bacteria Acinetobacter pittii SY9 and corn cob

Autor: Shi, Yunqi, Hu, Yongyou, Liang, Donghui, Wang, Guobin, Xie, Jieyun, Zhu, Xiaoqiang

Publikováno v: In Bioresource Technology August 2022 358

The antioxidant mechanism of Maillard reaction products in oil-in-water emulsion system

Autor: Shi, Yunqi, Liang, Rong, Chen, Ling, Liu, Huan, Goff, H. Douglas, Ma, Jianguo, Zhong, Fang

Publikováno v: In Food Hydrocolloids February 2019 87:582-592

Influence of creep force modelling on the non-linear stability of a rail vehicle on tangent and curved tracks.

Autor: Zhang, Baoan, Liu, Binbin, Di Gialleonardo, Egidio, Li, Haitao, Zheng, Jing, Shi, Yunqi, Bruni, Stefano

Publikováno v: Proceedings of the Institution of Mechanical Engineers -- Part F -- Journal of Rail & Rapid Transit (Sage Publications, Ltd.); Feb2024, Vol. 238 Issue 2, p225-236, 12p