Parallelization of Particle Transport Algorithms in Semiconductor Device Physics

9312240 Goodnick这是一个更新项目，继续开发使用粒子方法进行半导体器件模拟的并行算法。将对原型多处理器代码PMC-3D进行改进，以包括最先进的物理学，如全带结构效应，并将代码推广到各种不同的器件技术和任意几何形状。 这些代码将在一个高级并行语言（数据并行C）开发，以增加其从机器到机器的可移植性。 此外，完整的电磁解决方案，而不是泊松方程将耦合在粒子力计算，以开发高频微波和光电器件应用的模拟工具。 半导体器件的并行粒子输运算法，包括分子动力学和细胞自动机技术将开发。在分子动力学的情况下，混合粒子粒子网格方法将进行研究，以找到有效的并行算法，这将大大降低这种技术的计算要求。 并行元胞自动机器件模拟算法在三维空间将开发和比较蒙特卡罗方法作为一个成本效益的替代后者的技术。 ***

9312240 Goodnick This is a renewal project to continue the development of parallelized algorithms for semiconductor device simulation using particle methods. Improvements will be made to the prototype multiprocessor code PMC-3D to include state of the art physics such as full band structure effects, and generalize the code for a variety of different device technologies and arbitrary geometries. The codes will be developed in a high level parallel language (Dataparallel C) to increase their portability from machine to machine. Furthermore, full electromagnetic solutions rather than Poission's equation will be coupled in the particle-force calculation, in order to develop simulation tools for high frequency microwave and optoelectronic device applications. Parallel particle transport algorithms for semiconductor devices to include molecular dynamics and cellular automata techniques will developed. In the molecular dynamics case, hybrid particle-particle particle-mesh methods will be investigated to find efficient parallel algorithms which would greatly reduce the computational requirements of this technique. Parallel cellular automata device simulation algorithms in three dimensions will be developed and compared with Monte Carlo methods as a cost effective alternative to the latter technique. ***