@inproceedings{e02860c840a04505a35976fb262ba262,
title = "Interactive data exploration for high-performance fluid flow computations through porous media",
abstract = "Huge data advent in high-performance computing (HPC) applications such as fluid flow simulations usually hinders the interactive processing and exploration of simulation results. Such an interactive data exploration not only allows scientiest to 'play' with their data but also to visualise huge (distributed) data sets in both an efficient and easy way. Therefore, we propose an HPC data exploration service based on a sliding window concept, that enables researches to access remote data (available on a supercomputer or cluster) during simulation runtime without exceeding any bandwidth limitations between the HPC back-end and the user front-end.",
keywords = "adaptive data structure, flow through porous media, high-performance computing, interactive data exploration, multi-grid-like solver concept",
author = "Nevena Perovi{\'c} and J{\'e}rǒme Frisch and Mundani, \{Ralf Peter\} and Ernst Rank",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014 ; Conference date: 22-09-2014 Through 25-09-2014",
year = "2015",
month = feb,
day = "5",
doi = "10.1109/SYNASC.2014.68",
language = "English",
series = "Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "463--470",
editor = "Franz Winkler and Viorel Negru and Tetsuo Ida and Tudor Jebelean and Dana Petcu and Watt, \{Stephen M.\} and Daniela Zaharie",
booktitle = "Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014",
}