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This talk discusses the VACET's efforts in developing and deploying a petascale-capable visualization and analysis tool, VisIt, designed specifically for the Office of Science community. The software addresses the challenges of processing vast datasets, with capabilities to handle trillions of cells across thousands of cores. With successful implementations on platforms like Franklin and JaguarPF, our goal is to ensure the software scales efficiently and meets the future needs of simulation scientists. Outreach initiatives are also emphasized, including tutorials and user support.
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Deploying a Petascale-Capable Visualization and Analysis Tool April 15, 2010
Purpose of the next three talks • Detail the VACET activities to deliver a petascale-capable tool to the Office of Science community (and others) • Ensuring S/W is capable of processing tomorrow’s data • Ensuring that S/W scales (Joule) • Software engineering & deployment • Providing infrastructure to support the community • Outreach to the community
VisIt: Delivering a petascale-capable visualization and analysis tool to the Office of Science, the DoE, and more • Problem • Office of Science application scientists need tools for visualization and analysis (exploration, confirmation, & communication) • Solution • VACET has extended VisIt to deal with unique Office of Science problems, including data size, and deployed to the community • This includes data with trillions of cells using 10K’s cores • Impact • Many Office of Science simulation codes now use VisIt. 11 letters of support from SciDAC-funded groups for VACET review • Large capability delivered in a cost effective manner GNEP/NEAMS choose VisIt due to VACET leadership VACET enables VisIt to run on trillions of cells and 10K’s cores Project started VACET enables multi-institution development APDEC retires ChomboVis for VisIt. Repurposes $’s for math VisIt becomes first ever non-simulation Joule code. Both NSF XD centers commit to supporting VisIt SW repository has ~30 developers from >10 institutions 2000 2005 Fall 2006 2007 2008 2010 2008 Summer 2009 Fall 2009
We studied isocontouring and volume rendering, looking at up to 4T cells. Visualization of 1 trillion cells, visualized with VisIt on Franklin using 16,000 cores. Visualization of 2 trillion cells, visualized with VisIt on JaguarPF using 32,000 cores.
We demonstrated that VisIt performs well on tens of thousands of cores with trillions of cells. • Goal was to uncover bottlenecks on tomorrow’s data. • Experiments varied over supercomputing environment, data generation patterns, and I/O pattern.
Outreach • We have worked hard to deploy VisIt, through tutorials, user support, documentation, etc. • Tutorials: