GTC 2012 Program Guide - GPU Technology Conference

TUESDAY
TUESDAY, MAY 15, 09:00 (50 MINUTES)
ROOM C
S0419A Optimizing Application Performance with CUDA
Profiling Tools
NVIDIA provides two powerful profiling tools that you can use to
maximize your application’s performance. The NVIDIA Visual Profiler
helps you understand your application’s behavior with a detailed
timeline and data from GPU performance counters. The Visual
Profiler also provides an automatic, data-driven analysis engine that
provides suggestions on potential optimization strategies for your
application. Nvprof is a command-line profiler that provides
gprof-like functionality for the GPU. Nvprof provides summary
information about where your application is spending the most time,
so that you can focus your optimization efforts. This session will
provide a step-by-step walk through of both of these profiling tools,
showing how you can use these tools to identify optimization
opportunities at the application, kernel, and source-line levels.
This session will repeat Wednesday at 14:00 (S0419B).
Speaker(s): David Goodwin (Software Engineer, NVIDIA)
Topic(s): Development Tools & Libraries (Beginner)
TUESDAY, MAY 15, 09:00 (25 MINUTES)
ROOM J2
S0527 GPUs and the Next-Generation Aerial Surveillance
Graphics processors are already used for computationally
intensive video tasks in many ISR (Intelligence, Surveillance,
Reconnaissance) applications; GPU-based system for video
enhancement and analytics outperforms a similarly priced
CPU-based system 5-to-1 at HD resolutions. Our initial tests on 64
megapixel Wide Area Aerial Surveillance (WAAS) data show at least
10x speedup with tasks such as super-resolution or moving target
indication. In this talk, we’ll discuss unique design and
implementation challenges of real-time processing of very large
video data sets. We will demonstrate our existing GPU-based
software, IKENA ISR, and discuss its video-processing pipeline and
innovative processing solutions that are promising to dramatically
expand capabilities of emerging aerial surveillance platforms.
Speaker(s): Nikola Bozinovic (CTO, MotionDSP)
Topic(s): General Interest (Beginner)
TUESDAY, MAY 15, 09:00 (25 MINUTES)
ROOM A1
S0607 High Performance 3D Perception
The path to general purpose graphics programming was driven by
computer graphics: the process of rendering 3d models into 2d
viewpoints. With the advent of flexible programming of GPGPU
processing, this process can be reversed. 3D perception is the
problem of inferring structure and motion of the physical world
from 2d and 3d measurements. In this talk, we will demonstrate
the role GPGPU plays in a diverse set of applications in high speed
3d perception and discuss optimization of these techniques for the
GPGPU. We also demonstrate several capabilities of future
systems which are enabled by GPGPU technologies.
Speaker(s): Chris Slaughter (President, University of Texas Perception,
Lynx Labs)
Topic(s): Computer Vision (Beginner)
TUESDAY, MAY 15, 09:30 (25 MINUTES)
ROOM J2
S0040 Introducing CUDA in KBE Applications for Digital
Vehicle Development Programs
Get the latest development in Next Generation Knowledge Based
Engineering (KBE) software which provides real results over the
traditional design approach. Today there exist numerous KBE
applications in the field of vehicle ergonomics, suspension, NVH,
safety, regulations etc which deal with huge number of iterations
and mathematical algorithm. With GPU computing and CUDA the
KBE kernel is restructured to incorporate parallel programming
model which helps the applications run faster and achieving time
reduction from hours to seconds. KBE geometry kernel also gets
benefited by enabling CUDA in topology based operations which
take lot of time when performed on CPU.
Speaker(s): Avijit Santra (Project Manager, Knowledge Based
Engineering, Tata Motors Limited)
Topic(s): General Interest (Intermediate)
TUESDAY, MAY 15, 09:30 (25 MINUTES)
ROOM K
S0083 Swift: A GPU-based Smith-Waterman Sequence
Alignment Program
This session describes Swift, a GPU-based Smith-Waterman
implementation for aligning short DNA sequences to large
genomes. Swift has been designed to reduce computation time
and lower hardware cost. Also, unlike other leading GPU-based
Smith-Waterman sequence alignment programs like CUDASW++
and SWCUDA which focus on protein sequence alignment, Swift
has been developed for DNA sequence alignment. Swift performs
200x faster than CUDASW++ using a test data set containing 1000
reads (100 bases each) and 1000 references (1000 bases each),
and it performs 11x faster than the CPU-based implementation of
Smith-Waterman using 24 million reads (100 bases each) and
human chromosome 1.
Speaker(s): Pankaj Gupta (Bioinformatics Application Developer, St
Jude Children’s Research Hospital)
Topic(s): Bioinformatics (Beginner)
TUESDAY, MAY 15, 09:30 (25 MINUTES)
ROOM A7
S0258 Sailfish: Lattice Boltzmann Fluid Simulations with
GPUs and Python
Learn how Run-Time Code Generation (RTCG) techniques allowed
for fast development of a lattice Boltzmann (LB) fluid dynamics
solver called Sailfish. Sailfish is completely open source, supports
a wide variety of LB models (single and multiple relaxation times,
the entropic model; single and binary fluids) and can take
advantage of multiple GPUs. Even though the project is written
predominantly in Python, no performance compromises are made.
This talk will introduce the basic design principles of Sailfish and
illustrate how RTCG allows to exploit the power of GPUs with
minimal programmer effort.
Speaker(s): Michal Januszewski (PhD Student/Software Engineer,
University of Silesia in Katowice/Google Switzerland)
Topic(s): Computational Fluid Dynamics, Computational Physics,
Development Tools & Libraries (Intermediate)
TUESDAY, MAY 15, 9:30 (25 MINUTES)
ROOM J3
S0329 Using GPUs to Speedup Computational Lithography
In this paper we show how GPUs can be used to significantly
speedup computational lithography, which is heavily used in the
Electronic Design Automation (EDA) industry. In particular, we
demonstrate a noticeable performance increase in several basic
optical lithography algorithms as well as the speedup of the
full-chip verification software, crucial parts of which were ported