National Computational Science Alliance Visualization Needs in Science and Technology Talk given to ASCI Workshop on Data Visualization Corridors for Large.

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Presentation transcript:

National Computational Science Alliance Visualization Needs in Science and Technology Talk given to ASCI Workshop on Data Visualization Corridors for Large Scale Computing--User Perspectives March 5, 1998

National Computational Science Alliance The Alliance National Technology Grid - Prototyping the 21st Century Infrastructure

National Computational Science Alliance DOE NSF Divergence of Peak Capacity of DOE ASCI and NSF PACI Supercomputers Peak TFLOPS

National Computational Science Alliance How Alliance Application Teams Drive Software Development Cosmology –Metacomputing and Multiple Physical Scale Environmental Hydrology –Immersive Collaboration Chemical Engineering –Virtual Prototyping Bioinformatics –Distributed Data Nanomaterials –Remote Microengineering Scientific Instruments –Virtual Observatories

National Computational Science Alliance Alliance Visualization Development and Deployment Partners

National Computational Science Alliance Visualization Tool Kit (VTK) with Performer for Rendering Polly Baker, Randy Heiland and Dave Bock, NCSA Raju Namburu, Mike Stephens, CEWES, Kent Eschenberg, Nichols Research Corp DOD Modernization PET Program VTK-From GE Corp. R&D C++ classes for data I/O and mapping data to graphics. Handles unstructured grids as well as rectilinear and structured

National Computational Science Alliance Coupling Data Formats to Visualization - NCSA’s Hierarchical Data Format HDF & Project Horizon –Internet Access to Earth and Space Science Data –Science Data Browser (SDB) –To Provide Data Service for HDF & Other Formats –Java-based Viewers –Java-based HDF Browser –Standalone and Collaborative (Habanero™) Versions –General-purpose Image Viewer HDF & ASCI –The Data Models and Formats (DMF) Group –HDF As the Open Standard Exchange Format and I/O Library –ASCI HDF Requirements –Must Support Large (> a Terabyte) Datasets –Must Handle ASCI Data Types, Especially Meshes –Must Perform Well in Massive Parallel Environments –Store Unstructured Data for Efficient Visualization

National Computational Science Alliance Limitations of Uniform Grids for Complex Scientific and Engineering Problems Source: Greg Bryan, Mike Norman, NCSA 512x512x512 Run on 512-node CM-5 Evolution Fly Thru

National Computational Science Alliance Use of Shared Memory Adaptive Grids - Alliance Cosmology Team Source: Greg Bryan, Mike Norman, John Shalf, NCSA 64x64x64 Run with Seven Levels of Adaption on SGI Power Challenge, Locally Equivalent to 8192x8192x8192 Resolution

National Computational Science Alliance Interactive VRML Viewing of Multi-Scale Adaptive Grids John Shalf (NCSA) on Greg Bryan Cosmology AMR Data

National Computational Science Alliance Visual Supercomputing to the Desktop -- Server Push Technology Polly Baker and David Bock, NCSA Particles Moving Through Flow Field Computed on SGI Octane Real Time Viewing Using Web Browser on Win95 PC

National Computational Science Alliance 3-D 2-D Source: Gravity Waves Interactively Visualized from Remote T3E SuperComputing’97 Demo from MPI-Garching

National Computational Science Alliance Evolution of a Red Giant with White Dwarf Core - Coupling the vBNS to Scalable Computing Porter, Anderson, Habermann, Ruwart, & Woodward, LCSE,Nov Data Moved From NCSA over vBNS to U Minnesota- Visualization at SC97 While Week-Long Simulation Runs at NCSA vBNS Gives 500-Fold Thruput Increase Over Commercial Internet! Surface View 128-processor SGI Origin Run for One Week Generated Terabytes of Data

National Computational Science Alliance Proposed National Analysis and Visualization Facility Fibre Channel Disk Arrays 1.12 TeraBytes total space 1.2 GB/sec Sustained Bandwidth Silicon Graphics Reality Monster™ 64 R10000 Processors 32 GigaBytes Main Memory 8 Infinite Reality™ Graphics Engines 16 Fibre Channel Ports 8 HiPPI and ATM Channels 6400x4800 Pixel Display IMAX Film Resolution Interactive VR Joint Project of NCSA / LCSE / EVL Design by Laboratory for Computational Science & Engineering, Univ of Minnesota

National Computational Science Alliance Visual Computational Steering - The University of Utah SCIRun Example Combustion C-SAFE SCIRun Network Chris Johnson, SCI, Univ. of Utah, Alliance Viz Team

National Computational Science Alliance Visual Supercomputing Goal: Make Analysis as Powerful as Simulation Colliding Galaxies (Smithsonian IMAX)-Donna Cox, Bob Patterson, NCSA-From “Cosmic Voyage”-Nominated for Academy Award 1997 Visualization Created Using Virtual Director in CAVE 1000 Hour SDSC Cray Supercomputer Run to Generate Data Tens of Thousands of Hours of NCSA SGI Time to Render Data Cross-Country Transfer to IMAX Film of Massive Amounts of Data

National Computational Science Alliance Working with the NCSA Virtual Director Donna Cox, Bob Patterson, NCSA

National Computational Science Alliance Alliance Virtual Environments Tools - Linking CAVE to Vis5D = CAVE5D Interactive visualizations of time-varying, 3-dimensional Vis5D data sets in CAVE environments

National Computational Science Alliance Using NCSA’s Virtual Director in CAVE5D to Create a Digital Video Output Donna Cox, Robert Patterson, Stuart Levy, NCSAVirtual Director Team

National Computational Science Alliance Digital Video Created by Virtual Director Supporting Analysis of Chesapeake Simulations Alliance Environmental Hydrology Applications Team Glen Wheless and Cathy Lascara, Center for Coastal Physical Oceanography, Old Dominion University Donna Cox, Robert Patterson, Stuart Levy, NCSA Virtual Director Team Fish Larvae at Mouth of the Bay 15 Day Period Salinity (Red-High, Yellow-Low)

National Computational Science Alliance Alliance Researchers Using a Digital Video Computational Infrastructure = Digital Video Streams Digital Video Server Internet, vBNS Habanero Teams Create Digital Video Animation Concurrently with Supercomputing CAVE Virtual Director Individual Desktops Desktop Video Teleconferencing

National Computational Science Alliance Collaborative Virtual Environment - Environmental Modeling ImmersaDesks vBNS DREN SGI Onyx (NCSA) Integrated M-Bone Videoteleconferencing John Shalf,Polly Baker NCSA; Mike Stephens and Carl Cerco, CEWES SGI Onyx (Old Dominion) SGI Onyx (U. Wisc) Coupling Chesapeake Bay Simulations and Databases SGI Onyx (CEWES) Vicksburg, MS

National Computational Science Alliance Caterpillar’s Distributed Virtual Prototyping Environment Data courtesy of Valerie Lehner, NCSA Real Time Linked VR and Audio-Video Between NCSA and Germany Using SGI Indy/Onyx and HP Workstations

National Computational Science Alliance NCSA CRUMBS Volumetric Analysis Tools - From Drosophila Sperm to Star Formation Visualizations and CRUMBS Software by Rachael Brady, NCSA Simulation by Dinshaw Balsara, NCSA, on PSC T3EConfocal Microscopy by Tim Carr, UChicago Create a Quantitative Mathematical Model (Splines) of 3D Substructure in Data Volume Possible to Use to Track Perturbations Through Spacetime

National Computational Science Alliance Using NCSA Virtual Director to Explore Structure of Density Isosurfaces of MHD Star Formation Simulation by Dinshaw Balsara, NCSA on PSC T3E/256 (3000 cpu-hours); Visualization by Bob Patterson, NCSA Red Iso = 4x Mean Density Yellow Iso = 8x Mean Density Red Iso = 12x Mean Density Isosurface models generated by Vis5d Choreographed with Cave5D/VirDir Rendered with Wavefront on SGI Onyx

National Computational Science Alliance Thunderstorm Batch Process Scientific Visualization Simulation of a Severe Thunderstorm-Scale Tens of Kilometers MS_Study-Numerically-Modeled-Severe-Storm-Wilhelmson.html

National Computational Science Alliance Multiple Tornadoes- The Real Thing Observation of a Multiple Landspouts-Each on Scale of Tens of Meters

National Computational Science Alliance Multiple Tornado Simulation Analysis in the CAVE using Virtual Director Donna Cox, Robert Patterson, Stuart Levy, NCSA Virtual Director Team Bruce Lee & Bob Wilhelmson, 3000 cpu-hour CM-5 Simulation Yellow Iso = Vorticity Trajectories = Wind Flow Grey Iso = Rainwater Cloud