sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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An Image-Based Approach to Extreme Scale In Situ Visualization and Analysis

SESSION: Big Data Analysis

EVENT TYPE: Papers

TIME: 11:30AM - 12:00PM

SESSION CHAIR: Kelly Gaither

AUTHOR(S):James Ahrens, Sebastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark Petersen

ROOM:391-92

ABSTRACT:

Extreme scale scientific simulations are leading a charge to exascale computation, and data analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O constraints, we expect in situ visualization and analysis will be a critical component of these workflows. Options for extreme scale data analysis are often presented as a stark contrast: write large files to disk for interactive, exploratory analysis, or perform in situ analysis to save detailed data about phenomena that a scientists knows about in advance. We present a novel framework for a third option – a highly interactive, image-based approach that promotes exploration of simulation results, and is easily accessed through extensions to widely used open source tools. This in situ approach supports interactive exploration of a wide range of results, while still significantly reducing data movement and storage.

Chair/Author Details:

Kelly Gaither (Chair) - Texas Advanced Computing Center

James Ahrens - Los Alamos National Laboratory

Sebastien Jourdain - Kitware, Inc.

Patrick O'Leary - Kitware, Inc.

John Patchett - Los Alamos National Laboratory

David H. Rogers - Los Alamos National Laboratory

Mark Petersen - Los Alamos National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society