@inproceedings{157926922e6945b986a68ced0d77820b,
title = "Examples of in transit visualization",
abstract = "One of the most pressing issues with petascale analysis is the transport of simulation results data to a meaningful analysis. Traditional workflow prescribes storing the simulation results to disk and later retrieving them for analysis and visualization. However, at petascale this storage of the full results is prohibitive. A solution to this problem is to run the analysis and visualization concurrently with the simulation and bypass the storage of the full results. One mechanism for doing so is in transit visualization in which analysis and visualization is run on I/O nodes that receive the full simulation results but write information from analysis or provide run-time visualization. This paper describes the work in progress for three in transit visualization solutions, each using a different transport mechanism.",
keywords = "In situ, In transit, Parallel scientific visualization, Staging",
author = "Kenneth Moreland and Ron Oldfield and Pat Marion and Sebastien Jourdain and Norbert Podhorszki and Venkatram Vishwanath and Nathan Fabian and Ciprian Docan and Manish Parashar and Mark Hereld and Papka, \{Michael E.\} and Scott Klasky",
year = "2011",
doi = "10.1145/2110205.2110207",
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 = "1--6",
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",
}