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Acceleration of molecular mechanic simulation by parallelization and fast multipole techniques

机译:通过并行化和快速多极技术加速分子力学模拟

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Simulations of classical molecular dynamic (MD) systems can be sped up considerably by parallelizing the existing codes for distributed memory machines. In classical MD the CPU time is typically a function of the square of the number of atoms. The size of the molecular system which can be solved is therefore often limited by the CPU available. There are different approaches for reducing computation time. One consists in parallelizing sequential O(N~2) algorithms. The other is replacing the calculation of non-bonding forces by a less complex algorithm which can then be parallelized. We have generated a code (MEGADYN) for the simulation of MD of large simulation ensembles (up to l06 atoms) on the basis of classical force field methods. A reduction of complexity of the calculation of forces and energy down to O(N) was achieved by employing Greengards fast multipole method (FMM) to the Coulomb interaction. Within the framework of FMM the periodic boundary conditions are realized in a minimum image convention type manner. Thus MEGADYN can be used to simulate NVT as well as NPT ensembles.
机译:通过并行化分布式存储机器的现有代码,可以大大加快经典分子动力学(MD)系统的仿真速度。在经典MD中,CPU时间通常是原子数平方的函数。因此,可以解决的分子系统的大小通常受到可用CPU的限制。有减少计算时间的不同方法。一种是并行化顺序O(N〜2)算法。另一种方法是用一种较不复杂的算法代替对非粘结力的计算,然后将其并行化。我们已经在经典力场方法的基础上生成了一个用于模拟大型模拟集成体(最多10个原子)的MD的代码(MEGADYN)。通过将格林加德快速多极方法(FMM)应用于库仑相互作用,可以将力和能量的计算复杂度降低到O(N)。在FMM框架内,以最小图像约定类型的方式实现周期性边界条件。因此,MEGADYN可用于模拟NVT和NPT集成。

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