Parallel Computing Applied to the Simulation of Electron Transport in Advanced Semiconductor Devices

并行计算应用于先进半导体器件电子传输仿真

• 批准号: 9211073
• 负责人: Vwani Roychowdhury
• 金额: $ 4.4万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1995-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9211073&HistoricalAwards=false
• 关键词: Parallel; Computing; Applied; Simulation; Electron

Parallelism inherent in the computationally intensive problems arising in the simulation of advanced electron devices will be identified and exploited for the development of novel software tools. Advances, both in the optimization of algorithms for use on specific machines such as a MasPar MP-1216, as well as in the simulation of hitherto unexplored device phenomena are targeted. Previous research involved the development of a numerically intensive simulator for quantum transport in nanostructured semiconductor devices. A rich set of matrix problems drawn from this work, including complex valued linear systems solutions, eigenvalue problems as well as QR, and SV decompositions on regularly structured matrices, have been identified as candidates for future work on parallel processing machines. Quite similar matrix problems arise also in the treatment of electromagnetic waveguides, and the scope of this work can be readily expanded to include problems in this field as well.

先进电子设备模拟中出现的计算密集型问题所固有的并行性将被识别并用于开发新颖的软件工具。 目标是在特定机器（例如 MasPar MP-1216）上使用的算法优化以及迄今为止未探索的设备现象的模拟方面取得进展。 先前的研究涉及开发用于纳米结构半导体器件中量子传输的数值密集型模拟器。 从这项工作中得出的一组丰富的矩阵问题，包括复值线性系统解决方案、特征值问题以及规则结构矩阵的 QR 和 SV 分解，已被确定为未来并行处理机工作的候选者。 在电磁波导的处理中也出现了非常类似的矩阵问题，并且这项工作的范围可以很容易地扩展到包括该领域中的问题。