分子动力学模拟:基于Hadoop的实现与优化

Shanfei Jiao, Chen He, Y. Dou, Hong Tang
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引用次数: 9

摘要

本文首先介绍了Hadoop架构的基本概念和机制,以及分子动力学模拟并行化的研究现状,然后提出了利用原子分解方法在Hadoop上实现并行化算法的三种解决方案,克服了子任务之间快速迭代和通信的缺点。然后对程序各部分的加速比、可扩展性和成本时间进行了测试和分析,并通过多种方式进行了性能调优,最终在大规模系统仿真中获得了高达28倍加速的良好效果。实验表明,基于Hadoop的分子动力学模拟更加经济实用。
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Molecular dynamics simulation: Implementation and optimization based on Hadoop
At first the paper introduced the basic concept and mechanism of Hadoop architecture and the current parallel research situation of molecular dynamics simulation, then three solutions were proposed for implementing the parallel algorithm using atom-decomposition method on Hadoop to overcome shortcomings of fast iteration and communication among sub-tasks. After that tested and analyzed program's speed-up ratio, expansibility and cost-time of various parts, then did performance tuning in many ways, finally obtained good results as high as 28× speedup in large-scale system simulations. The test showing molecular dynamics simulation based on Hadoop is more economical and practical.
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