SC09, Portland, OR

Booth # 2365

Monday, November 16
7:00 PM – 9:00 PM

Tuesday, November 17
10:00 AM – 6:00 PM

Wednesday, November 18
10:00 AM – 6:00 PM

Thursday, November 19
10:00 AM – 4:00 PM


Come to the NVIDIA booth (#2365) and find out how you can help protect the environment. Money raised will go to Environmental Defense Fund.

HPC Award

HPC Community Leadership Award
Experts in HPC and supercomputing have nominated NVIDIA for an award in the "Organization" category. Take a look at the nominees here.


GPUs and Software Tools for Heterogenous Architectures
Thursday, November 19
1:30 PM - 02:00 PM
Room E147-148


Click here for opportunities.

Tesla™ GPU Computing

At SC09, NVIDIA® (booth# 2365) will be showcasing the breadth of NVIDIA® CUDA™-based GPU computing solutions that are powering the next wave of HPC. We invite you to visit our booth and learn more about the latest from NVIDIA® Tesla® GPU computing solutions.


NVIDIA GPU Computing Theater
Tuesday, November 17 – Thursday November 19 | NVIDIA Booth # 2365

The theater featured talks given by experts on a wide range of topics on high performance computing. Open to all attendees, the theater is located in the NVIDIA booth and will feature scientists, developers, and industry luminaries including:

  • Mike Clark, Harvard University
  • Paul Crozier, Sandia National Laboratories
  • Bill Dally, NVIDIA
  • Jack Dongarra, University of Tennessee
  • Satoshi Matsuoka, Tokyo Institute of Technology
  • Pat McCormick, Los Alamos National Laboratory
  • John Stone, University of Illinois at Urbana-Champaign
  • Jeff Vetter, Oak Ridge National Laboratory
  • Ross Walker, San Diego Supercomputing Center, UCSD

Click here to view streamed recordings and download the talks from the NVIDIA GPU Computing Theater.

GTC09 CEO Conferences

NVIDIA GPU Computing Poster Showcase
Monday, November 16 | 7:00 PM – 9:00 PM | NVIDIA Booth # 2365

See "what’s next" out of the world of research and academia with over 80 posters featured.

Click here for the complete list of posters.

Tutorial: High Performance Computing with CUDA
Sunday, November 15 | 8:30 AM – 5:00 PM | Oregon Ballroom 204

In this tutorial NVIDIA engineers will partner with academic and industrial researchers to present CUDA and discuss its advanced use for science and engineering domains. The morning session will introduce CUDA programming, motivate its use with many brief examples from different HPC domains, and discuss tools and programming environments. The afternoon will discuss advanced issues such as optimization and sophisticated algorithms/data structures, closing with real-world case studies from domain scientists using CUDA for computational biophysics, fluid dynamics, seismic imaging, and theoretical physics.

To view or download PDF copies of the tutorial presentations click here.


Tutorial: GPU Programming with the PGI Accelerator Programming Model and with PGI CUDA Fortran
Monday, November 16 | 8:30 AM – 5:30 PM | 1 N. Center Court St., Portland, OR

A full-day training course hosted by The Portland Group, with a complementary single-seat node-locked license of PGI Accelerator Fortran/C/C++ compilers and tools with PGI CUDA Fortran. Please visit the tutorial page for more details.

Tutorial: OpenCL - A Standard Platform for Programming Heterogeneous Parallel Computers
Monday, November 16 | 1:30 PM – 5:00 PM | Oregon Ballroom 204

This session will cover the specification explaining the key features and how to use them to write HPC software, then provide a series of case studies to show how OpenCL is used in practice. By the conclusion of the tutorial, attendees should be able to start writing complex scientific computing applications on their own using OpenCL.

Papers Session: Implementing Sparse Matrix-Vetor Multiplication on Throughput-Oriented Processors
Tuesday, November 17 | 2:00 PM – 2:30 PM | Room PB252

In this session, we explore SpMV methods that are well-suited to throughput-oriented architectures like the GPU and which exploit several common sparsity classes.

Panel: Teach Parallel Panel in the SC education program
Tuesday, November 17 | 5:30 PM – 6:30 PM | Room C124

Birds of a Feather Session: The Art of Performance Tuning for CUDA and Manycore Architectures
Tuesday, November 17 | 5:30 PM – 7:00 PM | Room E141-142

This session will explore the art of performance tuning for CUDA. Topics will include profiling to identify bottlenecks, effective use of the GPU's memory hierarchy and DRAM interface to maximize bandwidth, data versus task parallelism, avoiding branch divergence, and effective use of native hardware functionality such as transcendentals and synchronization primitives to optimize CPU utilization.

Birds of a Feather Session: Practical HPC Considerations for Advanced CFD
Wednesday, November 18 | 12:15 PM – 1:15 PM | Room E141-142

This BOF will examine the current state of parallel CFD for HPC cluster environments at industry-scale. BOF panel members will comprise parallel CFD experts from commercial CFD software developers ANSYS and CD-adapco, and HPC practitioners from industry who deploy both commercial and research-developed CFD application software.

Panel: Preparing the World of Ubiquitous Parallelism
Friday, November 20 | 10:30 AM – 12:00 PM | Room PB252

Must See Demos
Tuesday, November 17 – Thursday November 19 | NVIDIA Booth # 2365

  • See “Fermi” in Action
    Come see a live demonstration of the next generation CUDA™ GPU computing architecture, codenamed “Fermi”. The Fermi-based Tesla™ GPUs are mass market parallel processors and fuel the HPC industry’s transition to parallel processing. Compared to the latest quad-core CPUs, the Fermi-based Tesla GPUs deliver equivalent performance at 1/20th the power consumption and 1/10th the cost.
  • RealityServer
    Explore the future of 3D internet, today. Powered by Tesla™ RS computing solutions, this cloud computing application enables stunning photorealism for web applications — on any desktop, netbook, or smartphone.
  • Developer Tools for GPU Computing
    Stop by and talk with our experts about the latest features in hardware debuggers and performance analysis tools for GPUs.
  • GPU Acceleration for Life Sciences
    See molecular dynamics and quantum chemistry codes accelerated by 1-2 orders of magnitude with NVIDIA® Tesla™ GPUs. Experience the stunning visualization and increased insights of VMD in stereoscopic 3D .


Booth L3
Booth 2695
Ace Computers
Booth 2345
Allinea Software
Booth 1808
Appro International, Inc.
Booth 1200
Booth 150
Bull S.A.S.
Booth 1108
Booth 1100
Booth 1345
Booth 357
Booth 1525
Creative Consultants
Booth 234
Dell Inc.
Booth 1535
EM Photonics
Booth 3091
Florida State
Booth 2472
Georgia Institute of Technology
Booth 132
Booth 1301
Booth 1025
Khronos Group
Booth 242
Los Alamos National Lab
Booth 715
Booth 1301
Booth 1135
Booth 434
Booth 1216
Booth 2143
Booth 2585
NNSA / DoE / University of Oregon
Booth 735
Numerical Algorithms Group (NAG)
Booth 1210
Oak Ridge National Labs
Booth 1513
Penguin Computing
Booth 911
Platform Computing
Booth 2151
Booth 2473
Sandia / NNSA / DoE
Booth 735
Booth 1721
SLAC National Accelerator Laboratory
Booth 901
Sun Microsystems
Booth 435
Booth 2355
Booth 1545
Booth 1713
The MathWorks
Booth 1747
The Portland Group
Booth 1425
Tokyo Tech
Booth 1155
TotalView Technologies
Booth 1011
Booth 255
University of Oregon / NNSA / DoE
Booth 735
Verari Systems Inc.
Booth 635
Virginia Tech
Booth 2355
Visualization Sciences Group
Booth 2538
Wolfram Research Inc.
Booth 2097