华中科技大学学报（自然科学版）2011，Vol.39Issue(z1)：76-78,3.
大规模时变可视化数据的预取加速研究
Speeding up visualization of large-scale time-varying data by prefetching
摘要
Abstract
As loading is a main constraint factor in visualization, considering the similarity of adjacent frames, data loading pattern in the current can be used to predict the loading pattern of the following step. With this opinion, data is read into memory of next step after data loading in current step by a prefetching thread. Then, visualization of next step can be accelerated by reading data from memory directly. Tests show that due to the difference of data sets, visual data pref etching improves the visual performance of 17. 2% to 47. 5%.关键词
可视化；知识发现；数据预取；I/O性能优化；绘图流水线Key words
visualization/ knowledge discovery/ fata pref etching/ I/O optimization/ visualization pipeline分类
信息技术与安全科学引用本文复制引用
曹立强,夏芳,沈卫超..大规模时变可视化数据的预取加速研究[J].华中科技大学学报（自然科学版）,2011,39(z1):76-78,3.基金项目
国家高技术研究发展计划资助项目(2009AA01A134). （2009AA01A134）
