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GTC 2012 Program Guide - GPU Technology Conference

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TUESDAY<br />

attending, you will learn how to write OpenGL applications that<br />

accelerate the full range of path rendering functionality. Not only<br />

will you learn how to render sophisticated 2D graphics with<br />

OpenGL, you will learn to mix such resolution-independent<br />

2D rendering with 3D rendering and do so at dynamic,<br />

real-time rates.<br />

Speaker(s): Mark Kilgard (Principal Software Engineer, NVIDIA)<br />

Topic(s): Computer Graphics, <strong>GPU</strong> Accelerated Internet, Digital<br />

Content Creation & Film, Visualization (Beginner)<br />

TUESDAY, MAY 15, 14:00 (25 MINUTES)<br />

ROOM J3<br />

S0069 <strong>GPU</strong> Computing Advances in 3D<br />

Electromagnetic Simulation<br />

Learn about the latest developments in <strong>GPU</strong> acceleration for 3D<br />

Full Wave Electromagnetic simulation. The latest version of CST<br />

Studio Suite supports the full range of Tesla products on both<br />

Windows and Linux operating systems. Using <strong>GPU</strong>, multi-<strong>GPU</strong> and<br />

MPI-<strong>GPU</strong> Computing drastically reduces the simulation times for<br />

CST customers. We will provide a status of current and future <strong>GPU</strong><br />

developments at CST and share detailed simulation results.<br />

Speaker(s): Andreas Buhr (Department Manager - Performance<br />

Optimization, CST AG), Fabrizio Zanella (Systems Manager, CST<br />

of America)<br />

Topic(s): Electronic Design Automation (Intermediate)<br />

TUESDAY, MAY 15, 14:00 (50 MINUTES)<br />

ROOM C<br />

S0088 Point Cloud Library (PCL) on CUDA<br />

The Point Cloud Library (PCL - http://pointclouds.org) is a large<br />

scale, open project for 3D point cloud processing. The PCL<br />

framework contains numerous state-of-the art algorithms<br />

including filtering, feature estimation, surface reconstruction,<br />

registration, model fitting and segmentation. Due to the massively<br />

parallel nature of many of the above algorithms, GP<strong>GPU</strong><br />

accelerations holds great potential for achieving real-time<br />

performance in numerous applications. In this work we<br />

demonstrate some of the recent advances in GP<strong>GPU</strong><br />

programming for 3D point cloud processing, and outline plans for<br />

future development.<br />

Speaker(s): Michael Dixon (Research Engineer, Willow Garage, Inc),<br />

Radu Rusu (Research Scientist, Willow Garage, Inc),<br />

Topic(s): Computer Vision, Algorithms & Numerical Techniques,<br />

Stereoscopic 3D, Machine Vision (Intermediate)<br />

TUESDAY, MAY 15, 14:00 (50 MINUTES)<br />

ROOM A5<br />

S0254 Graphics in the Cloud - How NVIDIA is Enabling<br />

Cloud Visualization<br />

Engineers, artists, scientists, and gamers are the most<br />

demanding visual thinkers on the planet, and as such have not<br />

been willing to move their computing environments to the<br />

infamous “cloud”. These remotely accessed systems are seen as<br />

slow and not up to the visual experience that users expect when<br />

dealing with these types of applications. NVIDIA aims to change<br />

that perception with the NVIDIA Virtual Graphics Platform. In this<br />

session you will hear about the technologies behind accelerating<br />

graphics in the cloud, and some of the industry partnerships that<br />

are enabling it.<br />

Speaker(s): Will Wade (Manager, Quadro Advanced Technologies, NVIDIA)<br />

Topic(s): Cloud Computing, Visualization, Computer Graphics<br />

(Intermediate)<br />

TUESDAY, MAY 15, 14:00 (50 MINUTES)<br />

MARRIOTT BALLROOM 3<br />

S0313 Understanding and using Atomic<br />

Memory Operations<br />

Atomic memory operations provide powerful communication and<br />

coordination capabilities for parallel programs, including the<br />

well-known operations compare-and-swap and fetch-and-add. The<br />

atomic operations enable the creation of parallel algorithms and<br />

data structures that would otherwise be very difficult (or<br />

impossible) to express without them - for example: shared parallel<br />

data structures, parallel data aggregation, and control primitives<br />

such as semaphores and mutexes. In this talk we will use examples<br />

to describe atomic operations, explain how they work, and discuss<br />

performance considerations and pitfalls when using them.<br />

Speaker(s): Stephen Jones (CUDA Developer, NVIDIA), Lars Nyland<br />

(Compute Architect, NVIDIA)<br />

Topic(s): Algorithms & Numerical Techniques, Parallel <strong>Program</strong>ming<br />

Languages & Compilers (Advanced)<br />

TUESDAY, MAY 15, 14:00 (50 MINUTES)<br />

ROOM N<br />

S0319 Advanced Driver Assistance System Testing<br />

using OptiX<br />

Learn in this session how the AUDI AG and its partners make use<br />

of OptiX as a unified platform for the simulation of perception<br />

sensors utilizing different physical measurement principles, e.g.<br />

Video Camera, LIDAR, Ultra Sonic, etc. The aim is to generate<br />

synthetic sensor data with realistic measurement errors for<br />

testing Advanced Driver Assistance Systems. Get details about the<br />

challenges they faced during the implementation of the necessary<br />

tools for validating the sensor models and join the discussion<br />

when they describe the upcoming challenges related to real-time<br />

Ray Tracing and advanced material descriptions, when multiple<br />

sensors are simulated simultaneously.<br />

Speaker(s): Erwin Roth (Researcher, Technische Universitaet<br />

Muenchen), Tugkan Calapoglu (Lead Graphics Software Developer,<br />

VIRES Simulationstechnologie GmbH)<br />

Topic(s): Ray Tracing, Machine Vision (Intermediate)<br />

TUESDAY, MAY 15, 14:00 (25 MINUTES)<br />

ROOM A8<br />

S0321 <strong>GPU</strong>-Based Monte Carlo Ray Tracing Simulation<br />

for Solar Power Plants<br />

Learn about real time simulations of Concentrating Thermal Solar<br />

Power using <strong>GPU</strong> technology to enable performance optimization<br />

of these utility scale plants. By leveraging the power of <strong>GPU</strong>s and<br />

the parallel aspect of the field of thousands sun-tracking mirrors,<br />

we have been successful in cutting the computation time by<br />

orders of magnitude versus the previously required minutes and<br />

hours runtime. We will present an overview of the problem<br />

domain and describe how we used the <strong>GPU</strong> to derive a Monte<br />

Carlo physics ray tracing method to simulate the flux reflected by<br />

the mirrors onto the solar receiver.<br />

Speaker(s): Michel Izygon (Tietronix Software), Claus Nilsson<br />

(<strong>Program</strong>mer, Tietronix Software)<br />

Topic(s): Energy Exploration, Computational Physics, Ray Tracing<br />

(Beginner)<br />

TUESDAY, MAY 15, 14:00 (50 MINUTES)<br />

ROOM J2<br />

S0328 Best Practices in <strong>GPU</strong>-Based Video Processing<br />

The combination of the <strong>GPU</strong>’s massively parallel compute engine

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