Keynote
NVIDIA IndeX - A Scalable HPC Visualization SDK for Computational Mechanics and Data Analytics
NVIDIA IndeX is a GPU cluster software solution for scalable scientific visualization. The scalability enables real-time high-quality rendering of large-scale data at any resolution in combination with in-situ technology. The novel 3D visual interactive inspection of time-varying or simulation data gives scientists unique insights. Amongst others, the key note outlines the combination of BSC's ALYA with the NVIDIA IndeX SDK in the field of mechanical simulation.
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Dr. Tom-Michael Thamm is Director for Software Product Management at NVIDIA Advanced Rendering Center (ARC) in Berlin, Germany and is responsible for all software products, such as NVIDIA IndeX, NVIDIA Iray. He is managing and coordinating with his team the customer support as well as the general product definition and positioning. Mr. Thamm worked before NVIDIA ARC for mental images. He is for over 25 years in the 3D visualization business. He has led several key software projects and products, such as the NVIDIA IndeX product for large volume visualization. He has studied Mathematics.
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Marc Nienhaus is the Product Technology Lead of the NVIDIA IndeX commercial software at NVIDIA. He is managing the NVIDA IndeX software engineering team and is responsible for the NVIDIA IndeX product architecture and the development of applications in various application domains. Before joining mental images' R&D rendering department and NVIDIA ARC, Marc researched as a post-doc at the Northwestern University (IL, USA) and led research projects at the University of Potsdam. His research interests include parallel and distributed rendering and computing, scientific visualization, GPU-based rendering, and photorealistic and non-photorealistic expressive depictions. Marc holds a master in Mathematics with a minor in Computer Science from the University of Muenster and a PhD in Computer Science from the Hasso Plattner Institute at the University of Potsdam. Marc has published various papers on GPU-based real-time and non-photorealistic rendering techniques.
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Program
Monday, June 12
Location: S02 (FME building - Campus Sud)
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14.40-15.55 |
Session 1: Performance Modeling and Optimization, session chair: Christoph Garth |
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PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance |
Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree |
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Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition |
Gleb Tkachev, Steffen Frey, Christoph Müller, Valentin Bruder, Thomas Ertl |
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Progressive CPU Volume Rendering with Sample Accumulation |
Will Usher, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, Ingo Wald |
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16.30-17.45 |
Session 2: Exploratory Techniques, session chair: Filip Sadlo |
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Photo-Guided Exploration of Volume Data Features |
Mohammad Raji, Alok Hota, Robert Sisneros, Peter Messmer, Jian Huang |
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A Space-Efficient Method for Navigable Ensemble Analysis and Visualization |
Alok Hota, Mohammad Raji, Tanner Hobson, Jian Huang |
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Interactive Exploration of Dissipation Element Geometry |
Tom Vierjahn, Andrea Schnorr, Benjamin Weyers, Dominik Denker, Ingo Wald, Christoph Garth, Torsten Kuhlen, Bernd Hentschel |
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18.10-20.00 |
Reception for co-located EuroVis 2017 events |
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Tuesday, June 13 |
Location: S02 (FME building - Campus Sud) |
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9.40-10.30 |
Session 3: Alternative Programming Model Techniques, session chair: Julien Tierny |
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A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications |
Tim Biedert, Kilian Werner, Bernd Hentschel, Christoph Garth |
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Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives |
Shaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher Sewell, John Clyne, Hank Childs |
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11.00-12.20 |
Keynote: NVIDIA IndeX - A Scalable HPC Visualization SDK for Computational Mechanics and Data Analytics
Tom-Michael Thamm, Marc Nienhaus (NVIDIA ARC, Berlin, Germany) |
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