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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
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DTSTART:20151116T143000Z
DTEND:20151116T180000Z
LOCATION:12B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: As supercomputing moves towards exascale, scientists, engineers and medical researchers will look for efficient and cost effective ways to enable data analysis and visualization for the products of their computational efforts. The ‘exa’ metric prefix stands for quintillion, and the proposed exascale computers would approximately perform as many operations per second as 50 million laptops. Clearly, typical spatial and temporal data reduction techniques employed for post-processing will not yield desirable results where reductions of 10e3 to 10e6  may still produce petabytes to  terabytes of data to transfer or store. Since transferring or storing data may no longer be viable for many simulation applications, data analysis and visualization must now be performed in situ. This tutorial presents the fundamentals of in situ data analysis and visualization focusing on production use. Attendees will learn the basics of in situ analysis and visualization and be exposed to advanced functionality such as interactive steering and exploratory analysis. We demonstrate the technology using ParaView Catalyst. ParaView Catalyst is a parallel, open-source data analysis and visualization library designed to work with extremely large datasets. It aims to reduce IO by tightly coupling simulation, data analysis and visualization codes.
SUMMARY:Getting Started with In Situ Analysis and Visualization Using ParaView Catalyst
PRIORITY:3
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