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Parallelization of a Modular Particle-Continuum Method for Hypersonic, Near Equilibrium Flows

机译:高度近均衡流量的模块化粒子连续体方法的并行化

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Extension of a modular particle-continuum (MPC) method is outlined to take advantage of available cluster computer technology and allow future extension to simulation of full three dimensional flow. This method loosely couples an existing direct simulation Monte Carlo (DSMC) code to a Navier-Stokes solver (CFD) while allowing both time-step and cell size to be completely decoupled between each method. This approach allows the solver to maintain the physical accuracy of DSMC in regions where the Navier-Stokes equations break down, while achieving the computational efficiency of CFD in regions that are considered fully continuum. Parallelization techniques that take advantage of the modular implementation are outlined and evaluated using a set of flow problems with various free stream conditions as test cases. In general, linear speedup is realized for small problems but with a slope less than unity, with no effect on the final solution. Overall, the scaled efficiency of larger computations on more processors remains above 80% for the test case examined. Comparisons between solution time requirements for full DSMC and the MPC are made. A moderate speedup of about five is attainable for the higher Knudsen number case, while a speedup of over thirty compared to the full DSMC time is realized for the near equilibrium case.
机译:概述了模块化粒子连续体(MPC)方法的扩展,以利用可用的集群计算机技术,并允许将来扩展到仿真全三维流量。该方法松散地将现有的直接仿真蒙特卡罗(DSMC)代码耦合到Navier-Stokes求解器(CFD),同时允许在每种方法之间完全分离时间步长和小区大小。这种方法允许求解器在Navier-Stokes方程中断的区域中保持DSMC的物理精度,同时在考虑完全连续的区域中实现CFD的计算效率。利用模块化实现的并行化技术,并使用各种自由流条件作为测试用例的流动问题进行评估。通常,线性加速度用于小问题,但斜率小于团结,对最终解决方案没有影响。总的来说,对于审查的测试用例,更多处理器上的较大计算的缩放效率仍然高于80%。制作完整DSMC和MPC的解决时间要求之间的比较。对于更高的knudsen号码,可以实现约5个的中等加速度,而与完整DSMC时间相比,与完整的DSMC时间相比的加速度超过了三十的加速。

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