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Concept of a Cloud Service for Data Preparation and Computational Control on Custom HPC Systems in Application to Molecular Dynamics

机译:用于定制HPC系统的数据准备和计算控制的云服务概念在分子动力学中的应用

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At the present stage of computer technology development it is possible to study the properties and processes in complex systems at molecular and even atomic levels, for example, by means of molecular dynamics methods. The most interesting are problems related with the study of complex processes under real physical conditions. Solving such problems requires the use of high performance computing systems of various types, for example, GRID systems and HPC clusters. Considering the time consuming computational tasks, the need arises of software for automatic and unified monitoring of such computations. A complex computational task can be performed over different HPC systems. It requires output data synchronization between the storage chosen by a scientist and the HPC system used for computations. The design of the computational domain is also quite a problem. It requires complex software tools and algorithms for proper atomistic data generation on HPC systems. The paper describes the prototype of a cloud service, intended for design of atomistic systems of large volume for further detailed molecular dynamic calculations and computational management for this calculations, and presents the part of its concept aimed at initial data generation on the HPC systems.
机译:在计算机技术发展的现阶段,可以例如通过分子动力学方法研究复杂系统的分子和原子级的性质和过程。最有趣的是与在实际物理条件下研究复杂过程有关的问题。解决这些问题需要使用各种类型的高性能计算系统,例如GRID系统和HPC集群。考虑到费时的计算任务,需要用于自动和统一监视这种计算的软件。可以在不同的HPC系统上执行复杂的计算任务。它要求科学家选择的存储与用于计算的HPC系统之间的输出数据同步。计算域的设计也是一个很大的问题。它需要复杂的软件工具和算法,才能在HPC系统上正确生成原子数据。本文介绍了一种云服务的原型,旨在用于大容量原子系统的设计,以进行进一步的详细分子动力学计算和对此计算的计算管理,并介绍其概念的一部分,旨在在HPC系统上生成初始数据。

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