most citedCustomized Routing Optimization Based on Gradient Boost Regressor Model

8 citations · 16 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DB2021

G-Tran: Making Distributed Graph Transactions Fast

Hongzhi Chen, Changji Li, Chenguang Zheng +4

Graph transaction processing raises many unique challenges such as random data access due to the irregularity of graph structures, low throughput and high abort rate due to the rel…

cs.AR2017

Depth First Always On Routing Trace Algorithm

Anthony Kim, Sung Hyun Chen, Chen Zheng

In this paper, we discussed current limitation in the electronic-design-automotation (EDA) tool on tracing the always on routing. We developed an algorithm to efficiently track the…

cs.OH20171 cited

Machine Learning Based Fast Power Integrity Classifier

HuaChun Zhang, Lynden Kagan, Chen Zheng

In this paper, we proposed a new machine learning based fast power integrity classifier that quickly flags the EM/IR hotspots. We discussed the features to extract to describe the…

cs.AR20172 cited

Timing Aware Dummy Metal Fill Methodology

Luis Charre, Bruno Gravano, Rémi Pôssas +1

In this paper, we analyzed parasitic coupling capacitance coming from dummy metal fill and its impact on timing. Based on the modeling, we proposed two approaches to minimize the t…

cs.AR20175 cited

Non Uniform On Chip Power Delivery Network Synthesis Methodology

Patrick Benediktsson, Jon A. Flandrin, Chen Zheng

In this paper, we proposed a non-uniform power delivery network (PDN) synthesis methodology. It first constructs initial PDN using uniform approach. Then preliminary power integrit…

cs.OH20178 cited

Customized Routing Optimization Based on Gradient Boost Regressor Model

Chen Zheng, Clara Grzegorz Kasprowicz, Carol Saunders

In this paper, we discussed limitation of current electronic-design-automoation (EDA) tool and proposed a machine learning framework to overcome the limitations and achieve better…