01.12.2012 Views

GTC 2012 Program Guide - GPU Technology Conference

GTC 2012 Program Guide - GPU Technology Conference

GTC 2012 Program Guide - GPU Technology Conference

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

TUESDAY<br />

from measurements. The simulations involving multiplications<br />

and inversions of large matrices provide an ideal showcase for<br />

performance gain by employing GP<strong>GPU</strong>s in the execution of the<br />

algebraic routines on these matrices in computing environments<br />

with shared execution of algorithms on multiple nodes with<br />

multiple GP<strong>GPU</strong>s and CPU cores.<br />

Speaker(s): Jan Jacob (Postdoctoral Researcher, University of Hamburg)<br />

Topic(s): General Interest, Computational Physics, Application Design<br />

& Porting Techniques (Intermediate)<br />

TUESDAY, MAY 15, 14:30 (50 MINUTES)<br />

ROOM K<br />

S0516 The Advantage of <strong>GPU</strong> Computation for Analyzing<br />

Complex Traits<br />

Most import agriculture traits and human diseases are complex<br />

traits which are controlled by gene network with gene by gene<br />

interaction (epistasis) and gene by environment interaction (GE).<br />

New statistic methods and software are developed for analyzing<br />

genetic architecture for complex traits based on genome-wide<br />

association study (GWAS). When deal with large mapping<br />

population and huge amount of molecular information, <strong>GPU</strong><br />

computation has an advantage over CPU computation. We will<br />

demonstrate the newly developed <strong>GPU</strong> based software<br />

QTLNetwork V3.0 and GWAS-GMDR for mapping genes with<br />

epistasis and GE interaction for complex traits of human, crops,<br />

and mouse.<br />

Speaker(s): Jun Zhu (Professor, Zhejiang University)<br />

Topic(s): Bioinformatics, Life Sciences (Intermediate)<br />

TUESDAY, MAY 15, 14:30 (25 MINUTES)<br />

ROOM B<br />

S0610 Octree-Based Sparse Voxelization For Real-Time<br />

Global Illumination<br />

Discrete voxel representations are generating growing interest in<br />

a wide range of applications in computational sciences and<br />

particularly in computer graphics. A new real-time usage of<br />

dynamic voxelization inside a sparse voxel octree is to compute<br />

voxel-based global illumination. When used in real-time contexts,<br />

it becomes critical to achieve fast 3D scan conversion (also called<br />

voxelization) of traditional triangle-based surface representations.<br />

This talk describes an new surface voxelization algorithm that<br />

produces a sparse voxel representation of a triangle mesh scene<br />

in the form of an octree structure using the <strong>GPU</strong> hardware<br />

rasterizer. In order to scale to very large scenes, our approach<br />

avoids relying on an intermediate full regular grid to build the<br />

structure and constructs the octree directly.<br />

Speaker(s): Cyril Crassin (Postdoctoral Research Scientist, NVIDIA)<br />

Topic(s): Computer Graphics (Intermediate)<br />

TUESDAY, MAY 15, 14:30 (25 MINUTES)<br />

ROOM A2<br />

S0655 Direct Numerical Simulation of Turbulence-<br />

Chemistry Interactions: Fundamental Insights Towards<br />

Predictive Models<br />

Recent petascale direct numerical simulation (DNS) of turbulent<br />

combustion have transformed our ability to interrogate finegrained<br />

‘turbulence-chemistry’ interactions in canonical<br />

laboratory configurations. In particular, three-dimensional DNS,<br />

at moderate Reynolds numbers and with complex chemistry, is<br />

providing unprecedented levels of detail to understand<br />

fundamental coupling between turbulence, mixing and reaction.<br />

This information is leading to new physical insight and is providing<br />

unique validation data for assessing model assumptions in<br />

coarse-grained engineering CFD approaches used to design<br />

modern combustors. The role of petascale DNS is illustrated<br />

through selected examples relevant to controlling ignition and<br />

combustion rates in homogeneous charge compression ignition<br />

engines and to fuel injection processes in stationary gas turbines<br />

for power generation. Petascale simulations presently generate<br />

upwards of a petabyte of complex, multi-scale, time-varying data<br />

used by combustion modelers to validate subfilter combustion and<br />

mixing models in large-eddy simulation. With the advent of 10-20<br />

petaflop hybrid architectures with accelerators like Titan at Oak<br />

Ridge National Laboratory, it will be possible to dramatically<br />

increase the chemical complexity of DNS. This will help accelerate<br />

the development of predictive subprocess models which will be<br />

used by engine developers to better understand and tailor the<br />

combustion of gasoline and new, more complex types of fuels in<br />

advanced engines. With Titan, simulations will move beyond<br />

today’s studies of simple fuels—hydrogen, syngas and methane—<br />

to more complex, larger-molecule hydrocarbon fuels like<br />

isooctane (a surrogate for gasoline), commercially important<br />

oxygenated alcohols (for example, ethanol and butanol), and<br />

biofuel surrogates.<br />

Speaker(s): Jacqueline H. Chen (Combustion Research Facility, Sandia<br />

National Laboratories)<br />

Topic(s): Supercomputing (Intermediate)<br />

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

ROOM L<br />

S0034 Real-Time Risk Simulation: The <strong>GPU</strong> Revolution In<br />

Profit Margin Analysis<br />

Discover how ICHEC helped a world leading company in its sector,<br />

to dramatically speed-up and improve the quality of its real-time<br />

risk management tool chain. In this session, we present the<br />

method used for porting the core-part of the simulation engines<br />

to <strong>GPU</strong>s using CUDA. This porting was realized on two very<br />

different simulation algorithms and resulted in speed-ups of 2 to<br />

3 orders of magnitude, allowing much greater accuracy of the<br />

results in a real-time environment.<br />

Speaker(s): Gilles Civario (Senior Software Architect, ICHEC), Renato<br />

Miceli (Computational Scientist, ICHEC)<br />

Topic(s): Finance, Application Design & Porting Techniques, Algorithms<br />

& Numerical Techniques (Intermediate)<br />

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

ROOM C<br />

S0036 Multiparticle Collision Dynamics on <strong>GPU</strong>s<br />

See how we employ <strong>GPU</strong>s to simulate the interaction of millions of<br />

solvent and solute particles of a fluid system. Often the domain of<br />

large cluster system, the most time consuming part of our<br />

simulations can now be done on desktop PCs in reasonable time.<br />

This contribution shows how <strong>GPU</strong>s can effectively be used to<br />

accelerate existing programs and how techniques like streaming<br />

and increased data locality significantly enhance calculation<br />

throughput. It also shows how a <strong>GPU</strong>-optimized program<br />

structure yields usually expensive additional functionality “almost<br />

free”. Furthermore, a well-scaling single-node/multi-<strong>GPU</strong><br />

implementation of the program is presented.<br />

Speaker(s): Elmar Westphal (Software Developer,<br />

Forschungszentrum Juelich)<br />

Topic(s): Computational Physics, Computational Fluid Dynamics,<br />

Molecular Dynamics (Intermediate)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!