Real-time monitoring of large scientific simulations

Real-time monitoring of large scientific simulations
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大型科学模拟实时监控

DOI:
10.1145/952532.952573
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发表时间:
2003
影响因子:
2.5
通讯作者:
B. Hamann
B. Hamann
中科院分区:
计算机科学4区
文献类型:
--
作者:
Valerio Pascucci;D. Laney;R. J. Frank;F. Gygi;G. Scorzelli;L. Linsen;B. Hamann

文献摘要

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我们提出了一个分布式框架,使实时流和可视化的大型远程模拟生成的数据。我们解决分布式客户端服务器环境中出现的问题,并保证良好的并行负载平衡。我们采用渐进式计算技术和并行,分层数据流技术,以减少模拟硬件和实际的可视化和分析发生的系统之间的“距离”。我们提出了一个简单而有效的负载平衡方法,可扩展到任意模拟大小,并不引入额外的通信成本。我们证明了我们的系统的性能与分子动力学代码,并显示其能力,允许监控的所有时间步长的一个大的模拟,可以忽略不计的时间开销。
We present a distributed framework that enables real-time streaming and visualization of data generated by large remote simulations. We address issues arising from distributed clientserver environments and guarantee good parallel load balancing. We apply progressive computing techniques and parallel, hierarchical data streaming techniques to reduce the "distance" between the simulation hardware and the systems where the actual visualization and analysis occur. We present a simple and efficient load balancing method that scales to arbitrary simulation sizes and does not introduce additional communication cost. We demonstrate the performance of our system with a molecular dynamics code and show its ability to allow monitoring of all the time-steps of a large simulation with negligible time overhead.