Freeprocessing: Transparent in situ Visualization via Data Interception
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In situ visualization has become a popular method for avoiding the slowest component of many visualization pipelines: reading data from disk. Most previous in situ work has focused on achieving visualization scalability on par with simulation codes, or on the data movement concerns that become prevalent at extreme scales. In this work, we consider in situ analysis with respect to ease of use and programmability. We describe an abstraction that opens up new applications for in situ visualization, and demonstrate that this abstraction and an expanded set of use cases can be realized without a performance cost.
BibTeX
@inproceedings {10.2312:pgv.20141084,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
editor = {Margarita Amor and Markus Hadwiger},
title = {{Freeprocessing: Transparent in situ Visualization via Data Interception}},
author = {Fogal, Thomas and Proch, Fabian and Schiewe, Alexander and Hasemann, Olaf and Kempf, Andreas and Krüger, Jens},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {978-3-905674-59-0},
DOI = {10.2312/pgv.20141084}
}
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
editor = {Margarita Amor and Markus Hadwiger},
title = {{Freeprocessing: Transparent in situ Visualization via Data Interception}},
author = {Fogal, Thomas and Proch, Fabian and Schiewe, Alexander and Hasemann, Olaf and Kempf, Andreas and Krüger, Jens},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {978-3-905674-59-0},
DOI = {10.2312/pgv.20141084}
}