Nov. 14, 2012 Hank Childs, Lawrence Berkeley Jeremy Meredith, Oak Ridge Pat McCormick, Los Alamos Chris Sewell, Los Alamos Ken Moreland, Sandia Panel at.

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Presentation transcript:

Nov. 14, 2012 Hank Childs, Lawrence Berkeley Jeremy Meredith, Oak Ridge Pat McCormick, Los Alamos Chris Sewell, Los Alamos Ken Moreland, Sandia Panel at IEEE/ACM SuperComputing 2012 Visualization Frameworks for Multi-Core and Many-core Architectures

Panel Motivation  A terrible mismatch between what we have and what we will need! No threading, C++, parallelism through MPI (but one MPI task per core) No threading, C++, parallelism through MPI (but one MPI task per core) State of most visualization software today Seamless support for multicore and many-core nodes VS Upcoming requirements stemming from HPC trends Millions of lines of code, hundreds to thousands person years of investment. Multiple new efforts recently started. This panel’s purpose is to inform about these efforts: their goals and strategies.

Future Requirements  Opinions vary on requirements. However…  Must run on future architectures.  Must be capable of in situ processing.  Must be capable of supporting massive data sets (scale and complexity).  Fortunately, lessons learned from previous era:  Interoperability, data flow networks, data models, execution models

To date, our community has used a combination of libraries and tools.  Libraries:  Provide data model, execution model and algorithms  Examples: AVS, OpenDX, VTK, more…  Tools:  Incorporate libraries (for data model, execution model, and algorithms)  Provide user interface, parallel handling  Examples: EnSight, FieldView, ParaView, VisIt, VAPOR, more…

This software is not vaporware Tutorial and code sprint, Kitware HQ, Clifton Park, NY, September 2012

Hedgehogs of gradient fields along an isosurface in PISTON. Implemented by Childs (LBNL) and Sewell (LANL). Prototype integration of VisIt and DAX, with DAX calculating derived quantities. Implemented by Harrison (LLNL). Transform operator (UI + functionality) in EAVL/EAVLab. Implemented by Whitlock (LLNL).

Panel Format  Overview (8 minutes)  Hank Childs, Lawrence Berkeley  EAVL (16 minutes)  Jeremy Meredith, Oak Ridge  DSLs (16 minutes)  Pat McCormick, Los Alamos  PISTON (16 minutes)  Chris Sewell, Los Alamos  DAX (16 minutes)  Ken Moreland, Sandia  Question & Answer (18 minutes)

Questions for the panelists  What fundamental problem are you trying to solve?  What are your plans to deal with exascale-specific issues (massive concurrency, distributed memory, memory overhead, fault tolerance)?  What is your philosophy for dealing with ambiguity of the exascale architecture?  How is your technology implemented?  What is the long-term result for this effort? (Production software? Research prototype?)