EAVL: The Extreme-scale Analysis and Visualization Library (English)

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Analysis and visualization of the data generated by scientific simulation codes is a key step in enabling science from computation. However, a number of challenges lie along the current hardware and software paths to scientific discovery. First, only advanced parallelism techniques can take full advantage of the unprecedented scale of coming machines. In addition, as computational improvements outpace those of I/O, more data will be discarded and I/O-heavy analysis will suffer. Furthermore, the limited memory environment, particularly in the context of in situ analysis which can sidestep some I/O limitations, will require efficiency of both algorithms and infrastructure. Finally, advanced simulation codes with complex data models require commensurate data models in analysis tools. However, community visualization and analysis tools designed for parallelism and large data fall short in a number of these areas. In this paper, we describe EAVL, a new library with infrastructure and algorithms designed to address these critical needs for current and future generations of scientific software and hardware. We show results from EAVL demonstrating the strengths of its robust data model, advanced parallelism, and efficiency.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
HyperFlow: A Heterogeneous Dataflow Architecture
Vo, Huy T. / Osmari, Daniel K. / Comba, João / Lindstrom, Peter / Silva, Cláudio T. | 2012
11
PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators
Lo, Li-ta / Sewell, Christopher / Ahrens, James | 2012
21
EAVL: The Extreme-scale Analysis and Visualization Library
Meredith, Jeremy S. / Ahern, Sean / Pugmire, Dave / Sisneros, Robert | 2012
31
Explicit Cache Management for Volume Ray-Casting on Parallel Architectures
Jönsson, Daniel / Ganestam, Per / Doggett, Michael / Ynnerman, Anders / Ropinski, Timo | 2012
41
GLuRay: Enhanced Ray Tracing in Existing Scientific Visualization Applications using OpenGL Interception
Brownlee, Carson / Fogal, Thomas / Hansen, Charles D. | 2012
51
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications
Brownlee, Carson / Patchett, John / Lo, Li-Ta / DeMarle, David / Mitchell, Christopher / Ahrens, James / Hansen, Charles D. | 2012
61
Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing
Navrátil, Paul A. / Fussell, Donald S. / Lin, Calvin / Childs, Hank | 2012
71
Fast Collision Culling in Large-Scale Environments Using GPU Mapping Function
Avril, Quentin / Gouranton, Valérie / Arnaldi, Bruno | 2012
81
Light Propagation Maps on Parallel Graphics Architectures
Gruson, Adrien / Patil, Ajit Hakke / Cozot, Remi / Bouatouch, Kadi / Pattanaik, Sumanta | 2012
89
Polygonization of Implicit Surfaces on Multi-Core Architectures with SIMD Instructions
Shirazian, Pourya / Wyvill, Brian / Duprat, Jean-Luc | 2012
99
Load-Balanced Multi-GPU Ambient Occlusion for Direct Volume Rendering
Ancel, Alexandre / Dischler, Jean-Michel / Mongenet, Catherine | 2012
109
Parallel Rendering on Hybrid Multi-GPU Clusters
Eilemann, Stefan / Bilgili, Ahmet / Abdellah, Marwan / Hernando, Juan / Makhinya, Maxim / Pajarola, Renato / Schürmann, Felix | 2012
119
Multi-GPU Image-based Visual Hull Rendering
Hauswiesner, Stefan / Khlebnikov, Rostislav / Steinberger, Markus / Straka, Matthias / Reitmayr, Gerhard | 2012
129
Shift-Based Parallel Image Compositing on InfiniBandTM Fat-Trees
Cavin, Xavier / Demengeon, Olivier | 2012
139
Auto Splats: Dynamic Point Cloud Visualization on the GPU
Preiner, Reinhold / Jeschke, Stefan / Wimmer, Michael | 2012
149
Time-constrained Animation Rendering on Desktop Grids
Aggarwal, Vibhor / Debattista, Kurt / Bashford-Rogers, Thomas / Chalmers, Alan | 2012
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