Flow-guided file layout for out-of-core pathline computation
Flow-guided file layout for out-of-core pathline computation
复制标题
DOI：
10.1109/ldav.2012.6378984
复制
发表时间：
2012-12
期刊：
影响因子：
--
通讯作者：
Chun-Ming Chen;B. Nouanesengsy;Teng-Yok Lee;Han-Wei Shen
中科院分区：
文献类型：
--
作者：
Chun-Ming Chen;B. Nouanesengsy;Teng-Yok Lee;Han-Wei Shen
随着CPU处理能力变得越来越强大以及存储容量的增加，在台式计算机上执行涉及大量数据的数据密集型可视化计算变得越来越可行。然而，Desertion通常缺乏一次加载如此大的数据所需的内存容量，因此I/O成本成为必要的核外计算的主要瓶颈。在降低运行时I/O成本的技术中，重新排序文件布局以增加数据局部性近年来变得流行。然而，文件布局技术的时变科学数据，特别是时变流场，一直很少讨论。在本文中，我们评估的性能影响，利用文件布局方法的核心外随时间变化的流动可视化。我们扩展了一个基于图形的流场表示，最初开发的静态矢量场，随时间变化的流场，并应用图形布局算法来订购数据块写入磁盘。使用各种参数和种子方案评估生成的文件布局的好处。
As CPU processing power becomes more powerful and storage capacity increases, performing data-intensive visualization computations involving large data on a desktop computer becomes an increasingly viable option. Desktops, though, usually lack the memory capacity required to load such large data at once, and thus the cost of I/O becomes a major bottleneck for the necessary out-of-core computation. Among techniques that reduce runtime I/O cost, reordering the file layout to increase data locality has become popular in recent years. However, file layout techniques for time-varying scientific data, especially for time-varying flow fields, have been rarely discussed. In this paper, we evaluate the performance impact of utilizing a file layout method for out-of-core time-varying flow visualization. We extend a graph-based representation of flow fields, originally developed for static vector fields, to time-varying flow fields, and apply a graph layout algorithm to order data blocks to be written to disk. Benefits from the generated file layouts are evaluated using various parameters and seeding scenarios.