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Presented by Visualization at the Leadership Computing Facility Sean Ahern Scientific Computing Center for Computational Sciences
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2 Ahern_LCFViz_0611 Statistical Analysis of Fusion Eddy Formation Principal Component Analysis allows isolation of rotational modes of eddy evolution
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3 Ahern_LCFViz_0611 Visualization of Neutron Density Fields Joint work between ORNL and Oxford University has developed a model of nuclear matter in the transitional density region between inhomogeneous matter, containing nuclei and nucleons, and homogeneous matter, consisting of uniformly distributed nucleons, in collapsing stars. We developed custom visualization techniques for analyzing the spatially varying distribution of nucleon densities.
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4 Ahern_LCFViz_0611 Statistics and Visualization for Climate Simulation Volume visualizations of the simulated time evolution of land and ocean components of atmospheric CO 2 concentrations originating from the ocean surface were produced to help climate scientists examine the influence of climate variability, prescribed atmospheric CO 2 levels, and land cover change on terrestrial carbon fluxes during the 20th century. Data from Phase I of the CCSM LCF Computational Climate Science End Station (CCSES)
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5 Ahern_LCFViz_0611 EVEREST Facility 35 million pixel, 27-tile Powerwall 30’ x 8’ 14 NVIDIA 3000G GPUs Interactive, large-scale, collaborative data analysis Open source and custom software DMX, Chromium, PixelBlaster, Blockbuster, etc. 5 Ahern_LCFViz_0611
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6 Ahern_LCFViz_0611 Title Visualization Architectures for Tera/Petascale Visualization Largest datasets require use of institutional resources Reduces data movement issues Allows exploitation of multiple GPUs Provides visualization to remote users Exploited by VisIt, ParaView, EnSight
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7 Ahern_LCFViz_0611 Technology Curve Mismatches Processor speeds (and FLOPS) are going up (60%/year) Interconnect speeds are going up Graphics card performance is going up (100%/year) Increased computational ability won’t solve issues – can’t just ride processor speed curves In some cases, users are not willing to move or post-process their data for visualization Data Access Patterns are Important! Memory-to-memory copy hasn’t kept up (5-10%/year) Disk access time hasn’t kept up (5-10%/ year) Increasing bottleneck to data processing I/O can often be the most expensive phase of simulation or post-processing WinProblems
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8 Ahern_LCFViz_0611 Summary and “Info-vis” techniques Increasing need to compare datasets Parameter studies 2D/3D simulation correlations Direct visual comparison often inadequate Different mesh types, codes High-dimensional datasets are becoming much more common “Information-driven” interaction Contour spectrum Topology graphs/trees Topology methods Distance fields Shape characterization Information visualization techniques
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9 Ahern_LCFViz_0611 Chromium RenderServer Remote image delivery OpenGL and X11 paths Collaborative Supports tiles Leverages: Chromium VNC DMX Small Business Technology Transfer program – DOE STTR Render Server to Both Local and Remote Viewers
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10 Ahern_LCFViz_0611 Up and Coming Technologies… (and some already here) Office “mini-clusters” Vendor-integrated vis clusters Very high resolution displays Sony 4K projector Multi-GPU systems “Cell” processor “Commodity” constellations with GPUs
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11 Ahern_LCFViz_0611 Contact Sean Ahern Scientific Computing Center for Computational Sciences (865) 241-3748 ahern@ornl.gov 11 Ahern_LCFViz_0611
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