High Performance Flow Field Visualization with High-Order Access Dependencies | |
Zhang, Jiang ; Guo, Hanqi ; Yuan, Xiaoru | |
2015 | |
关键词 | Flow visualization High-Order Data prefetching |
英文摘要 | We present a novel model based on high-order access dependencies for high performance pathline computation in flow field. The high-order access dependencies are defined as transition probabilities from one data block to other blocks based on a few historical data accesses. Compared with existing methods which employed first-order access dependencies, our approach takes the advantages of high order access dependencies with higher accuracy and reliability in data access prediction. In our work, high-order access dependencies are calculated by tracing densely-seeded pathlines. The efficiency of our proposed approach is demonstrated through a parallel particle tracing framework with high-order data prefetching. Results show that our method can achieve higher data locality than the first-order access dependencies based method, thereby reducing the I/O requests and improving the efficiency of pathline computation in various applications.; CPCI-S(ISTP); jiang.zhang@pku.edu.cn; hguo@anl.gov; xiaoru.yuan@pku.edu.cn; 165-166 |
语种 | 英语 |
出处 | 2015 IEEE Scientific Visualization Conference |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/450252] ![]() |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Zhang, Jiang,Guo, Hanqi,Yuan, Xiaoru. High Performance Flow Field Visualization with High-Order Access Dependencies. 2015-01-01. |
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