GPU Technology Conference Agenda Live, Sessions and Speakers Announced

GPU Technology Conference Agenda Live, Sessions and Speakers Announced

Press Release from NVIDIA

As you may know, the GPU Technology Conference (GTC) is right around the corner. GTC 2010 is where the world’s foremost computing experts gather to talk about the amazing work enabled by GPUs.

The final agenda for GTC 2010 was just announced, with over 240 sessions of technical content targeted for researchers, developers, and technologists.

Here are just a few highlights:

· Pre-conference tutorials on CUDA C, DirectCompute, Stereoscopic 3D, OpenCL, OpenGL, Ray Tracing, and more

· Research briefing from the CUDA Centers of Excellence

· Dozens of sessions exploring HPC issues of “scaling out” GPU computing applications

Other topics announced include: algorithms and numerical techniques, astronomy and astrophysics, computational fluid dynamics, computational imaging, databases and data mining, embedded computing, mobile computing, energy exploration, film, finance, life sciences, machine learning and artificial intelligence, medical imaging and visualization, molecular dynamics, physics simulation, and programming languages and techniques.

Some interesting sessions this year include:

· Processing Petabytes per Second at the Large Hadron Collider at CERN (#2135) - Philip Clark, University of Edinburgh; Andy Washbrook, University of Edinburgh

Learn how GPUs could be adopted by the ATLAS detector at the Large Hadron Collider (LHC) at CERN. The detector, located at one of the collision points, must trigger on unprecedented data acquisition rates (PB/s), to decide whether to record the event, or lose it forever. In the beginning we introduce the ATLAS experiment and the computational challenges it faces. The second part will focus on how GPUs can be used for algorithm acceleration - using two critical algorithms as exemplars. Finally, we will outline how GPGPU acceleration could be exploited and incorporated into the future ATLAS computing framework.

· Power Management Techniques for Heterogeneous Exascale Computing (#2052) - Xiaohui Cui, Oak Ridge National Laboratories

Power consumption has become the leading design constraint for large scale computing systems. In order to achieve exascale computing, system energy efficiency must be improved significantly. Our approach will focus on investigating software methodologies to achieve energy efficient computing on heterogeneous systems accelerated with GPUs.

· Accelerating System Level Signal Integrity Simulation (#2066) - Danil Kirsanov, ANSYS; Ekanathan Palamadai, ANSYS

Discuss how GPU acceleration for key parts of the ANSYS Nexxim Simulator resulted in significant speedup over multi-core processors. We will cover time consumption and data parallelism exposure considerations, and focus on key areas where GPU acceleration was applied including convolution and Eye rendering.

· Nearly Instantaneous Reconstruction for MRIs (#2094) - General Electric

GE’s Autocalibrating Reconstruction for Cartesian Imaging (ARC) is a computationally intensive, widely used algorithm in MRI Reconstruction using Parallel Imaging. We demonstrate that an optimized CUDA implementation of ARC on a GPU can enable nearly instantaneous reconstruction and speedups of up to 10x over an optimized dual socket QuadCore CPU implementation. We will discuss challenges both with computational intensity and data read/write efficiency. We will also compare the Fermi C2050 with the C1060.

· Moving the Frontier of Oil and Gas Exploration and Production with GPUs (Session #2141) - Olav Lindtjorn, Schlumberger

Learn how the Oil and Gas Industry is embracing GPUs in order to tackle new and complex oil and gas plays around the world. The first part of this talk gives an overview of the business and geopolitical drivers of the industry, followed with the critical contribution of computation in the quest for secure supply of energy.

· Developing GPU Enabled Visual Effects For Film And Video (#2125) - Bruno Nicoletti, The Foundry; Jack Greasley, The Foundry 

The arrival of fully programmable GPUs is now changing the visual effects industry, which traditionally relied on CPU computation to create their spectacular imagery. Implementing the complex image processing algorithms used by VFX is a challenge, but the payoffs in terms of interactivity and throughput can be enormous. Hear how The Foundry's novel image processing architecture simplifies the implementation of GPU-enabled VFX software and eases the transition from a CPU based infrastructure to a GPU based one.

· Rendering Revolution (#2165) - Ken Pimentel, Autodesk

Learn how GPU technologies are transforming the making of pixels. This talk will cover GPU-centric rendering techniques that leverage both the raw computational capabilities of NVIDIA’s GPUs and advanced pixel-shading techniques for interactive visualization and rendering.

· Faster Simulations of the National Airspace System (#2214) - Joseph Rios, NASA

Learn about twenty-four hour, fast-time simulations of traffic in the National Airspace System, which use GPU technology to help perform key steps in the trajectory prediction of flights. GPUs enabled us to improve the runtime by up to two orders of magnitude versus the previously required tens of minutes per execution. We will present a brief overview of the problem domain and a description of how the GPU has opened doors to uncharted research areas.

· Shockingly Fast and Accurate CFD Simulations (#2078) – Timothy Warburton, Rice University

In the last three years we have demonstrated how GPU accelerated discontinuous Galerkin methods have enabled simulation of time-dependent, electromagnetic scattering from airplanes and helicopters. In this talk we will discuss how we have extended these techniques to enable GPU accelerated simulation of supersonic airflow as well.

Speakers at GTC 2010 represent diverse companies and universities such as Adobe, Agilent Systems, Barcelona Supercomputing Center, Beckman Coulter, Brown University, Chevron, CSIRO, Dolby Laboratories, Georgia Tech, Google, HP Labs, John Hopkins University, Lockheed Martin, Microsoft, MIT, National Taiwan University, Northwestern University, Philips, Siemens Medical, Rice University, Stanford University, University of Illinois, and University of Tennessee.