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.

将确定并利用用于开发新型软件工具的高级电子设备模拟中固有的计算密集型问题固有的并行性。 在优化用于在特定机器（例如Maspar MP-1216）的算法中以及在迄今未探索设备现象的模拟中，进步都是针对的。 先前的研究涉及开发用于纳米结构的半导体设备中量子传输的数值密集模拟器。 从这项工作中提取的一系列矩阵问题，包括复杂的有价值的线性系统解决方案，特征值问题以及QR以及定期结构化矩阵上的SV分解，已被确定为对并行处理机的未来工作的候选者。 在治疗电磁波指导时也出现了非常相似的矩阵问题，并且这项工作的范围也可以很容易地扩展到该领域的问题。