Exploring Large Data over Wide Area Networks

TitleExploring Large Data over Wide Area Networks
Publication TypeConference Paper
Year of Publication2011
AuthorsHereld, M, Insley, JA, Olson, E, Papka, ME, Vishwanath, V, Norman, ML, Wagner, R
Conference NameProc. IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV2011)
Date Published10/2011
Conference LocationProvidence, RI
Other NumbersANL/MCS-P1932-0911
Abstract

Simulations running on the top supercomputers are routinely producing multi-terabyte data sets. Enabling scientists, at their home institutions, to analyze, visualize and interact with these data sets as they are produced is imperative to the scientific discovery process. We report on interactive visualizations of large simulations performed on Kraken at the National Institute for Computational Sciences using the parallel cosmology code Enzo, with grid sizes ranging from 1024 power 3 to 6400 power 3. In addition to the asynchronous rendering of over 570 timesteps of a 4096 power 3 simulation (150 TB in total), we developed the ability to stream the rendering result to multipanel display walls, with full interactive control of the renderer(s).

URLhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6092335
PDFhttp://www.mcs.anl.gov/papers/P1932-0911_Joe Insley Paper_090811.pdf