1. Deploying a Petascale-Capable Visualization and Analysis Tool April 15, 2010

2. 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 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

3. 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 20002005Fall 2006 Project started 2007 VACET enables multi-institution development APDEC retires ChomboVis for VisIt. Repurposes $’s for math 2008 VACET enables VisIt to run on trillions of cells and 10K’s cores Summer 2009 VisIt becomes first ever non- simulation Joule code. Fall 2009 2010 GNEP/NEAMS choose VisIt due to VACET leadership 2008 Both NSF XD centers commit to supporting VisIt SW repository has ~30 developers from >10 institutions

4. We studied isocontouring and volume rendering, looking at up to 4T cells. Visualization of 2 trillion cells, visualized with VisIt on JaguarPF using 32,000 cores. Visualization of 1 trillion cells, visualized with VisIt on Franklin using 16,000 cores.

5. 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. Goal was to uncover bottlenecks on tomorrow’s data. Experiments varied over supercomputing environment, data generation patterns, and I/O pattern.

6. Outreach We have worked hard to deploy VisIt, through tutorials, user support, documentation, etc. Tutorials: We have worked hard to deploy VisIt, through tutorials, user support, documentation, etc. Tutorials: EventLocationDateAttendance SC09Portland, ORNovember 2009~50 Vis09Atlantic City, NJOctober 2009~75 NUG 2009Boulder, COOctober 2009~30 ACTSBerkeley, CAAugust 2009~35 PrincetonPrinceton, NJJuly 2009~30 SciDAC 2009San Diego, CAJune 2009~40 CScADSSnowbird, UTJuly 2008~30 SciDAC 2008Seattle, WAJuly 2008~40 SciDAC 2007Cambridge, MAJune 2007~20