NVIDIA Corporation:

Benjamin Berraondo
Product PR Manager Northern Europe
NVIDIA Ltd
bberraondo@nvidia.co.uk

Personal Supercomputing With Dell: NVIDIA Tesla GPUs Now Shipping In Dell Workstations

NVIDIA Tesla GPU Computing Solutions Become Mainstream as Number of GPU Optimised Applications Soars

SANTA CLARA, CA — MAY 5, 2009 — NVIDIA Corporation, inventor of the GPU, today announced that the Tesla C1060 GPU Computing processor, based on the massively parallel CUDA architecture, is now available in Dell Precision R5400, T5500 and T7500 workstations.

“The Dell Precision R5400, T7500 and T5500 together with the Tesla GPU computing processors is putting the power of supercomputing on the desktop,” said Greg Weir, senior manager, Dell Product Group. “We have seen early praise for the efforts of both Dell and NVIDIA to bring an economical high-performance computing solution to the most demanding customers.”

“National Instruments is developing the control system for the European Extremely Large Telescope project, which upon completion will be the world’s largest. To tackle this computational challenge, we developed a CUDA interface with LabVIEW to simulate and control the M1 mirror consisting of 984 individual segments,” said Jeff Meisel product manager for LabVIEW at National Instruments. “A single Dell workstation equipped with a single Tesla C1060, can achieve near real-time control of the mirror simulation and controller, something that would not be possible without the computational density offered by GPUs.”

Another community sure to benefit from the mass market availability of this technology is the computational researcher. Based in the world’s leading research schools such as Harvard, Cambridge or Tokyo Institute of Technology, these researchers fight for time on a shared supercomputing resource that consumes hundreds of kilowatts of power and costs millions of dollars to build and maintain. Dell Precision Workstations enabled with Tesla GPUs give each of these researchers their own “personal supercomputer” - the equivalent computing power of a cluster, at 1/100th of the price.

CUDA applications actively in use today by these researchers and organisations include:

Oil and gas	Acceleware: Kirchoff Time Migration library ffA: 3D Seismic processing software Headwave: Prestack data processing Mercury Computer systems: 3D data visualization SeismicCity: 3D seismic imaging for prestack depth migration SMT: Kingdom – Seismic Processing
Computational Chemistry and Molecular Dynamics:	GROMACS molecular dynamics HOOMD molecular dynamics NAMD molecular dynamics VMD visualization of molecular dynamics
Bio-Informatics and Life Sciences:	GPU HMMER: CUDA version of HMMER LISSOM: Human neocortex modeling MUMmerGPU: High-throughput DNA sequencing
Financial Computing and Options Pricing:	Aqumin: 3D Visualization of market data Exegy: Risk Analysis Hanweck: options pricing SciComp: derivatives pricing
Mathematical Computing	Jacket CUDA plugin for MATLAB from Accelereyes LabVIEW from National Instruments
GeoSciences:	Tsunami simulation – Tokyo Institute of Technology Weather Research and Forecast (WRF) model Geographical Information Systems - Manifold
Medical Imaging, CT, MRI:	AxeRecon CT reconstruction library from Acceleware SnapCT tomographic reconstruction software from Digisens
Electrodynamics and Electromagnetics	CST Microware Studio FDTD solver from Acceleware
Electronic Design Automation	ADS SPICE simulator from Agilent EESof OmegaSim GX SPICE simulator from Nascentric Sentaraus TCAD from Synopsys

For more information on the Dell Precision Workstation line, visit www.dell.com. For more information on NVIDIA Tesla products, visit www.nvidia.co.uk/tesla and for more information on applications written for the CUDA architecture, visit www.nvidia.co.uk/cuda.

About NVIDIA
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® products, the professional design and visualisation market with its Quadro® products, and the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, California, and has offices throughout Asia, Europe, and the Americas.

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© 2009 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, Tesla, GeForce, and Quadro are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.