@inproceedings{4a214f1eafb346f3ab097b61c33216d2,
title = "High end scientific codes with computational I/o pipelines: Improving their end-to-end performance",
abstract = "This paper uses computational I/O pipelines to integrate computations into the I/O path that perform data analytics on the data generated by scientific simulations. A novel attribute is the use of a pluggable execution environment in which analysis tools can be orchestrated into a multi-stage pipeline for processing simulation output data. Performance considerations are addressed through the use of a high performance data transport. The approach is evaluated with the end-to-end performance of a Magnetohydrodynamics application at large scale.",
keywords = "End-to-end performance, I/O, In-situ analytics, Pipeline",
author = "Fang Zheng and Jianting Cao and Jai Dayal and Greg Eisenhauer and Karsten Schwan and Matthew Wolf and Hasan Abbasi and Scott Klasky and Norbert Podhorszki",
year = "2011",
doi = "10.1145/2110205.2110210",
language = "English",
isbn = "9781450311304",
series = "PDAC'11 - Proceedings of the 2011 International Workshop on Petascal Data Analytics: Challenges and Opportunities, Co-located with SC'11",
pages = "23--28",
booktitle = "PDAC'11 - Proceedings of the 2011 International Workshop on Petascal Data Analytics",
note = "2011 2nd International Workshop on Petascal Data Analytics: Challenges and Opportunities, Held in Cooperation with the IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis, SC'11 ; Conference date: 14-11-2011 Through 14-11-2011",
}