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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20111116T003000Z
DTEND:20111116T010000Z
LOCATION:TCC 304
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The only proven method for performing distributed-memory parallel rendering at large scales, tens of thousands of nodes, is a class of algorithms called sort last, which combines a collection of images generated independently on each node into a single blended image.  Over the years numerous image compositing algorithms have been proposed as well as several enhancements and rendering modes to these core algorithms.  However, the testing of these algorithms has been with arbitrary, if any, enhancements.  This paper takes a leading production-quality image-compositing framework, IceT, and uses it as a testing framework for the leading image compositing algorithms of today.  As we scale IceT to ever increasing job sizes, we consider the image compositing systems holistically, incorporate numerous optimizations, and discover several improvements to the process never considered before.  We conclude by demonstrating our solution on 64K cores of the Intrepid BlueGene/P at Argonne National Laboratories.
SUMMARY:An Image Compositing Solution at Scale
PRIORITY:3
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