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Exploiting multiple levels of parallelism in Molecular Dynamics based calculations via modern techniques and software paradigms on distributed memory computers

机译:通过分布式存储计算机上的现代技术和软件范例,在基于分子动力学的计算中利用多级并行性

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Modern Molecular Dynamics methods are employed to study quantum manybody systems, chemically reactive systems including explicit electronic degrees of freedom. and combinations thereof, as well as large classical biomolecular systems. Thus, complex problems such as isotope effects on enzymatic reactions can now be examined, routinely. In this article, modern molecular dynamics methods are reviewed and their application to quantum manybody systems and electronic structure calculations described. The resulting methodology, however, while powerful, is computationally intensive. Therefore, the mathematical structure of the techniques has been exploited to develop distributed memory parallel algorithms employing multiple levels of discretization. These multilevel-parallel methods are efficient and permit the large complex systems, such as enzyme catalysis, to be treated easily. In addition, it is shown how modern object oriented programming paradigms can be employed to implement multilevel parallel algorithms in a large computational package rapidly and efficiently. Finally, results and timings obtaining using the PINY_MD package developed by the authors are given for a variety of novel systems.
机译:现代分子动力学方法被用于研究量子多体系统,包括显式电子自由度的化学反应系统。及其组合,以及大型经典生物分子系统。因此,现在可以常规检查复杂的问题,例如同位素对酶促反应的影响。在本文中,对现代分子动力学方法进行了综述,并介绍了它们在量子多体系统和电子结构计算中的应用。然而,所产生的方法虽然功能强大,但计算量大。因此,已经利用该技术的数学结构来开发采用多层离散化的分布式存储器并行算法。这些多级并行方法是有效的,并且允许轻松处理大型复杂系统(例如酶催化)。此外,它显示了如何使用现代的面向对象编程范例来快速有效地在大型计算包中实现多级并行算法。最后,给出了使用作者开发的PINY_MD软件包获得的结果和时序,用于各种新颖的系统。

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