Keynote

Massive Parallelism in Intel's Graphics Processors. The performance improvement in graphics processors over the past decade has been tremendous, and it is intriguing to see that the graphics part of the chip die now is larger than for the CPU part. In this presentation, I will explain how this kind of parallelism can be achieved by describing the graphics processor in Intel's Broadwell architecture. In addition, I will show how a ray tracer can be mapped, using OpenCL, to such an architecture with shared memory, and will demonstrate interactive performance.

Tomas Akenine Möller is a professor in computer science with specialization in computer graphics and image processing at the Department of Computer Science, Lund University, Sweden. Over the past years, he has built the computer graphics group, LUGG (Lund University Graphics Group), there. He received an MSc in Computer Science and Engineering from Lund in 1995, and went on to Chalmers University of Technology, where he got his PhD in computer graphics in 1998. During 2000, he was a post doc at UC Berkeley, and also spent some time at UC San Diego (2004/2005) as a visiting researcher. Tomas has been co-papers-chairing Graphics Hardware (2004), Eurographics Symposium on Rendering (2006), and Eurographics 2010. He currently works part time at Intel in Lund as a tech lead with a fantastic team of graphics researchers. In December 2008, Intel acquired Swiftfoot Graphics, which is a company he co-founded with three of his PhD students. Tomas is also a co-author of the book Real-Time Rendering. He has written 80+ papers, and still counting.


Program

Monday, May 25

12.00

Registration

14.30

Opening

14.40

Efficient Representations, session chair: Timo Ropinski, University of Ulm

Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail

Silvio Rizzi, Mark Hereld, Joseph Insley, Michael E. Papka, Thomas Uram, Venkatram Vishwanath

Memory-Efficient On-The-Fly Voxelization of Particle Data

Tobias Zirr, Carsten Dachsbacher

Visualization of 2D Wave Propagation by Huygens' Principle

Stefan Heßel, Olliver Fernandes, Sebastian Boblest, Malte Hoffmann, Andrea Beck, Philipp Offenhäuser, Claus-Dieter Munz, Colin Glass, Thomas Ertl, Filip Sadlo

Visualization Showcase:
General-Relativistic Black Hole Visualization

Thomas Müller, Sebastian Boblest, Daniel Weiskopf

16.10

Coffee Break

16.30

Parallel Rendering, session chair: Marco Ament, Karlsruhe Institute of Technology

SIMD Parallel Ray Tracing of Polyhedral Grids

Brad Rathke, Ingo Wald, Ingo; Kenneth Chiu, Carson Brownlee

Packet-Oriented Streamline Tracing on Modern SIMD Architectures

Bernd Hentschel, Jens Henrik Göbbert, Paul Springer, Michael Klemm, Andrea Schnorr, Torsten Kuhlen

Volume Rendering Via Data-Parallel Primitives

Matthew Larsen, Stephanie Labasan, Paul Navrátil, Jeremy Meredith, Hank Childs

Visualization Showcase:
Visualization of High-Resolution Weather Model Data

Si Liu, Greg Foss, Greg Abram, Anne Bowen

18.10

Break

18.30

Welcome Reception at T-Hotel


Tuesday, May 26

8.00

Registration

9.00

Improved Algorithms, session chair: Filip Sadlo, University of Heidelberg

TOD-Tree: Task-Overlapped Direct send Tree Image Compositing for Hybrid MPI Parallelism

Pascal Grosset, Manasa Prasad, Cameron Christensen, Aaron Knoll, Charles Hansen

Contour Tree Depth Images For Large Data Visualization

Tim Biedert, Christoph Garth

Out-of-Core Framework for QEM-based Mesh Simplification

Hiromu Ozaki, Fumihito Kyota, Takashi Kanai

Visualization Showcase:
Visualizing Groundwater Flow Through Karst Limestone

Carson Brownlee, Aaron Knoll, Paul Navrátil, Kevin J. Cunningham, Michael C. Sukop, and Sadé Garcia

10.40

Coffee Break

11.00

Keynote Lecture by Tomas Akenine Moller: Massive Parallelism in Intel's Graphics Processors.

12.00

Closing and Awards