Kitware is working with Los Alamos National Labs on a project that will extend ParaView to enable interactive visualization, even when the data size exceeds the available memory resources. Massive datasets can make visualization difficult or impossible, even with access to large parallel processing compute resources. One solution is streaming: to divide a dataset into smaller pieces, and run each of these pieces through a given visualization pipeline in turn to generate a complete result while maintaining a small memory foot print. In the paper “A modular extensible visualization system architecture for culled prioritized data streaming” published in The Proceedings of SPIE Volume 6495, Ahrens et. al describe extensions to VTK that improve upon its support for streaming. The new techniques include discarding pieces of the input dataset that do not contribute to the final visualization and prioritizing those that do. With prioritization, the most important pieces are rendered first, so that results are obtained in a significantly shorter time than with standard streaming. The new work is integrated into a custom visualization application built upon the ParaView infrastructure. This application, called StreamingParaView will be available in the upcoming ParaView 3.6 release.
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Date6sep - 7All DayToScATomography for Scientific Advancement
On Wednesday, September 7th, Marcus Hanwell will discuss "Tomviz: Open Source, Scalable Platform for Reproducible Materials Tomography." The discussion will take place from 9:45 am to 10:00 am [...]
On Wednesday, September 7th, Marcus Hanwell will discuss “Tomviz: Open Source, Scalable Platform for Reproducible Materials Tomography.” The discussion will take place from 9:45 am to 10:00 am BST during Session 5: Materials Science.
6 (Tuesday) - 7 (Wednesday) BST
The Edge Arts Centre at the University of Bath
Bath BA2 7AY, United Kingdom
Royal Microscopical Society6sep - 6octsep 66:00 pmoct 6Triangle Visualization Group Kick-Off Event
While three-dimensional (3D) data and 3D viewing devices are becoming ubiquitous, challenges exist to visualizing large 3D data sets in 3D devices. At the kick-off event, Cory Quammen will [...]
Event DetailsWhile three-dimensional (3D) data and 3D viewing devices are becoming ubiquitous, challenges exist to visualizing large 3D data sets in 3D devices. At the kick-off event, Cory Quammen will outline these challenges. He will also highlight existing and emerging solutions that are available in the Visualization Toolkit (VTK) and ParaView.
September 6 (Tuesday) 6:00 pm - October 6 (Thursday) 8:00 pm EST
American Underground Classroom at American Tobacco Campus
318 Blackwell Street, Durham, NC 27701
David Borland, Angela Zoss, David Gotz, David Knowles, Mike Nutt, and Sid Thakur14sep - 16All DayPyData Carolinas 2016
During the tutorial sessions on Wednesday, September 14, 2016, Matthew McCormick will lead "ITK in Biomedical Research and Commercial Applications." The tutorial will take place from [...]
During the tutorial sessions on Wednesday, September 14, 2016, Matthew McCormick will lead “ITK in Biomedical Research and Commercial Applications.” The tutorial will take place from 10:45 am to 12:15 pm.
On Thursday, September 15, 2016, from 3:50 pm to 4:30 pm, Jean-Christophe Fillion-Robin, Matthew McCormick, Max Smolens, and Omar Padron will present “Scikit-build: A build system generator for CPython C extensions.”
During the general sessions on Friday, September 16, 2016, Deepak Chittajallu will discuss “HistomicsTK: An open-source python toolkit for web-based analysis of digital histopathology data.” The talk will occur from 1:10 pm to 1:50 pm.
14 (Wednesday) - 16 (Friday) EST
IBM RTP Activity Center
3039 East Cornwallis Road, Building 400, Research Triangle, NC 27709
IBM Emgerging Technologies
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