Learn More
In this paper, we present BoxRouter 2.0, a hybrid and robust global router with discussion on its architecture and implementation. As high performance VLSI design becomes more interconnect-dominant, efficient congestion elimination in global routing is in greater demand. Hence, we propose BoxRouter 2.0 which has strong ability to improve routability and(More)
In decentralized consensus optimization, a connected network of agents collaboratively minimize the sum of their local objective functions over a common decision variable, where their information exchange is restricted between the neighbors. To this end, one can first obtain a problem reformulation and then apply the alternating direction method of(More)
In this article, we present BoxRouter 2.0, and discuss its architecture and implementation. As high-performance VLSI design becomes more interconnect-dominant, efficient congestion elimination in global routing is in greater demand. Hence, we propose a global router which has a strong ability to improve routability and minimize the number of vias with(More)
As minimum feature size and pitch spacing further decrease, triple patterning lithography (TPL) is a possible 193nm extension along the paradigm of double patterning lithography (DPL). However, there is very little study on TPL layout decomposition. In this paper, we show that TPL layout decomposition is a more difficult problem than that for DPL. We then(More)
Electron beam lithography (EBL) is a promising maskless solution for the technology beyond 14nm logic node. To overcome its throughput limitation, recently the traditional EBL system is extended into MCC system. In this paper, we present E-BLOW, a tool to solve the overlapping aware stencil planning (OSP) problems in MCC system. E-BLOW is integrated with(More)
By employing the Lyapunov-Krasovskii functional and linear matrix inequality (LMI) approach, the problem of global asymptotical stability is studied for recurrent neural networks with both discrete time-varying delays and distributed time-varying delays. Some sufficient conditions are given for checking the global asymptotical stability of recurrent neural(More)
Exogenous glucose delays seed germination in Arabidopsis thaliana not only in wild type (WT), but also in a number of mutants in hormone signalling pathways. This study demonstrates that the ABA Insensitive 3 (ABI3) gene in the ABA signalling pathway and the RGA-like 2 (RGL2) and SPINDLY (SPY) genes in the GA signalling pathways all play important roles in(More)
Electronic Beam Lithography (EBL) is an emerging maskless nanolithography technology which directly writes the desired circuit pattern into wafer using e-beam, thus it overcomes the diffraction limit of light in current optical lithography system. However, low throughput is its key technical hurdle. In conventional EBL system, each rectangle in the layout(More)
By combining Cohen-Grossberg neural networks with an arbitrary switching rule, the mathematical model of a class of switched Cohen-Grossberg neural networks with mixed time-varying delays is established. Moreover, robust stability for such switched Cohen-Grossberg neural networks is analyzed based on a Lyapunov approach and linear matrix inequality (LMI)(More)
Consider the consensus problem of minimizing f (x) = n i=1 fi(x) where each fi is only known to one individual agent i belonging to a connected network of n agents. All the agents shall collaboratively solve this problem and obtain the solution via data exchanges only between neighboring agents. Such algorithms avoid the need of a fusion center, offer(More)