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A Parallel Monte Carlo Method for Electron Quantum Kinetic Equation

机译:电子量子动力学方程的平行蒙特卡罗方法

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We study a parallel Monte Carlo (MC) method for investigation of a quantum kinetic equation which accounts for the action of the electric field during the process of electron-phonon interaction. Optimization of the presented parallel algorithm is done using variance reduction techniques and parallel random sequences from the Scalable Parallel Random Number Generator (SPRNG) library. The developed code written in C is parallelized with MPI and OpenMP codes. Numerical results for the parallel efficiency of the algorithm are obtained. The dependence of the electron energy distribution on applied electric field is investigated for long evolution times. The distribution function is computed for GaAs material parameters.
机译:我们研究了一种平行的蒙特卡罗(MC)方法,用于研究Quantum动力学方程,其考虑了电子 - 声子相互作用过程中电场的动作。使用来自可伸缩并行随机数发生器(SPRNG)库的方差降低技术和并行随机序列来完成所呈现的并行算法的优化。用M形式编写的开发代码与MPI和OpenMP代码并行化。获得了算法的并行效率的数值结果。研究了电子能量分布对施加电场的依赖性,用于长时间的演化时间。用于GaAs材料参数的分配功能。

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