@inproceedings{415f37e0429c4083bed01793e6386d49,
title = "Tuned to terrible: A study of parallel particle advection state of the practice",
abstract = "The algorithms foundational to visualization are central to the production visualization tools running at computing centers around the world and consume tremendous amounts of finite, limited resources. We believe that understanding the performance characteristics of these algorithms is critical in being good stewards of computational centers' resources. In this paper, we report initial studies on one such foundational algorithm: parallel particle advection. We have performed an extensive parameter study of the de facto standard algorithm that is commonly used in parallel production visualization tools as well as for in situ visualization environments. Our study has shown that the default parameters used in this algorithm lead to generally poor results, and identify settings that optimized performance on the system in our parameter sweep.",
keywords = "Flow visualization, Parallel systems, Scalability issues, Vector field data",
author = "Robert Sisneros and David Pugmire",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016 ; Conference date: 23-05-2016 Through 27-05-2016",
year = "2016",
month = jul,
day = "18",
doi = "10.1109/IPDPSW.2016.173",
language = "English",
series = "Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1058--1067",
booktitle = "Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016",
}