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Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language.

机译:使用与机器无关的并行编程语言,在工作站网络上进行分子动力学模拟。

摘要

Molecular dynamics simulations investigate local and global motion in molecules. Several parallel computing approaches have been taken to attack the most computationally expensive phase of molecular simulations, the evaluation of long range interactions. This paper develops a straightforward but effective algorithm for molecular dynamics simulations using the machine-independent parallel programming language, Linda. The algorithm was run both on a shared memory parallel computer and on a network of high performance Unix workstations. Performance benchmarks were performed on both systems using two proteins. This algorithm offers a portable cost-effective alternative for molecular dynamics simulations. In view of the increasing numbers of networked workstations, this approach could help make molecular dynamics simulations more easily accessible to the research community.
机译:分子动力学模拟研究分子中的局部和整体运动。已经采取了几种并行计算方法来攻击分子模拟中计算量最大的阶段,即远程相互作用的评估。本文使用与机器无关的并行编程语言Linda开发了一种简单而有效的分子动力学模拟算法。该算法既在共享内存并行计算机上运行,​​又在高性能Unix工作站网络上运行。在两个系统上使用两种蛋白质进行了性能基准测试。该算法为分子动力学仿真提供了一种可移植的经济高效的替代方案。鉴于联网工作站的数量不断增加,这种方法可以帮助使分子动力学模拟更容易为研究团体所用。

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