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Accelerating the molecular dynamics program LAMMPS using graphics cards' processors and the Nvidia Cuda technology

机译:使用图形处理器和Nvidia Cuda技术加速分子动力学程序LAMMPS

摘要

This bachelor thesis discusses the possibilities and limits of extending the widely-used Molecular Dynamics program LAMMPS (the Large Scale Atomic/Molecular Massive Parallel Simulator) in order to accelerate simulations by making use of modern graphic processing units in the framework of NVIDIA's Cuda technology. An own implementation serves as basis for the discussion. The first chapters summerizes selected aspects of Molecular Dynamics, LAMMPS' design and the Cuda technology for graphics card programming. On that basis, details of the above mentioned implementation are discussed, comparing different force calculation strategies and showing methods to avoid frequent data transfers from and to the graphics card. The following part of the work deals with benchmarks and the influence of factors like numerical precision and system size in typical Molecular Dynamics simulations, always comparing the results to the original version of LAMMPS with no graphics card support. Finally, conclusions of this work are presented and the implementation is compared with other similar projects.
机译:该学士学位论文讨论了扩展广泛使用的分子动力学程序LAMMPS(大规模原子/分子大规模并行模拟器)的可能性和局限性,以便通过在NVIDIA Cuda技术框架内使用现代图形处理单元来加速仿真。自己的实现作为讨论的基础。第一章概述了分子动力学,LAMMPS的设计以及用于图形卡编程的Cuda技术的某些方面。在此基础上,讨论了上述实现的详细信息,比较了不同的力计算策略并显示了避免频繁地往返于图形卡传输数据的方法。接下来的工作涉及基准测试以及典型分子动力学仿真中数值精度和系统大小等因素的影响,始终将结果与不支持图形卡的LAMMPS的原始版本进行比较。最后,介绍了这项工作的结论,并将其实现与其他类似项目进行了比较。

著录项

  • 作者

    Winterfeld Lars;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 deu
  • 中图分类

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