CAREER: Behavioral Modeling and Simulation of Mixed-Signal/Mixed-Technology VLSI Systems: An Integrated Research and Education Program

这项研究的目的是开发高效的技术来对具有数百万个晶体管的复杂片上系统进行建模和仿真，其中包含混合的模拟和数字电路，甚至包括混合技术的器件(微机电、光学、微流体等)。重点是探索电路的行为建模，这是一种简单而准确的数学建模。开发了一种基于符号网络分析的系统方法，以从电路网表生成行为模型。传统的符号网络分析在大型电路中的应用受到乘积项数量随电路大小指数增长的阻碍，这被称为项爆炸问题。这个项目通过探索行列式决策图(DDD)技术来解决术语问题。为了生成高效的可模拟代码，该项目探索了编译技术来编译行为模型并选择适当复杂性的模型。一种用于并行和分布式仿真的新范例正在开发中，以利用混合模拟/数字和混合技术系统中的最大通用性和延迟。

This research aims at developing efficient techniques for modeling and simulation of complex systems-on-a-chip with millions of transistors, which contain mixed analog and digital circuits, even mixed-technology devices (microelectromechnical, optical, microfluid, etc). The focus is to explore behavioral modeling, simple-yet-accurate mathematical modeling, of a circuit in terms of its behavior. A systematic method based on symbolic network analysis is being developed to generate behavioral models from a circuit netlist. Application of traditional symbolic network analysis to large circuits is hindered by the exponential growth of the number of product terms with the size of a circuit, a problem known as term explosion. This project addresses the term problem by exploring determinant decision diagram (DDD) technology. To generate efficient simulatable code, this project explores compilation techniques to compile behavioral models and to select models of right complexity. A new paradigm for parallel and distributed simulation is being developed to exploit the maximum currency and latency in mixed analog/digital and mixed-technology systems.