SANTA CLARA, CA--(Marketwire - January 14, 2010) - NVIDIA today announced the Tesla Bio Workbench,
which enables scientists to push the boundaries of biological research by turning a
standard PC into a "computational laboratory" capable of running complex bioscience
codes in fields such as drug discovery and DNA sequencing more than 10-20 times
faster through the use of NVIDIA® Tesla™ GPUs.
The Tesla Bio Workbench consists of:
- A range of GPU-optimized bioscience applications for molecular dynamics- and
quantum chemistry- based research, including: AMBER, GROMACS, LAMMPS, NAMD,
TeraChem, VMD, and bioinformatics applications like CUDA-SW++ (Smith-Waterman),
GPU-HMMER, and MUMmerGPU.
- A community site for downloading the applications, checking out the latest
benchmarks, reading academic papers and tutorials, joining discussion forums with
the application developers themselves and more.
- Details on the Tesla GPU-based workstations and clusters available worldwide for
easy deployment of these applications.
Scientists have traditionally performed experiments in laboratories, where chemicals
are combined, their interactions studied and their effectiveness measured. Advances
in computational science have now enabled these experiments to be carried out using
molecular dynamics and quantum chemistry simulation models, however these have
typically required very large supercomputers with thousands of central processing
units (CPUs).
By using the massively parallel CUDA™ architecture of NVIDIA GPUs, these
applications can now be run 10-20 times faster, which means even a PC with Tesla
GPUs can outperform a supercomputer.
Quotes:
"We are working on a new GPU-based technique in the VMD molecular dynamics
visualization software that investigates how small molecules like oxygen and CO2
migrate inside proteins. This research is critical in the study of enzymatic
reaction mechanisms," said John Stone, senior research programmer, University of
Illinois at Urbana-Champaign. "A simulation that takes 1 day to run on a GPU-based
workstation would have taken 30 days to run on a CPU-based machine, rendering it
impractical for real research."
"TeraChem is a powerful molecular modeling package whose calculations can guide the
design of new drugs while avoiding wasted time synthesizing unpromising candidates,"
said Todd Martinez, professor of physical and theoretical chemistry at Stanford
University. "With TeraChem, calculations that would have taken days or weeks on a
computer cluster can now be performed routinely on NVIDIA GPU-enabled workstations.
This allows high-throughput computational screening and can accelerate the drug
design process."
"Using AMBER to carry out simulations of a cellulose hydrolyzing enzyme called
Cellobiohydrolaze-I, which is a key component in improving the efficiency of
bio-ethanol production, we're seeing performance from a single NVIDIA GPU that's
equivalent to a 10 node cluster," said Ross Walker, Research Professor at the San
Diego Supercomputer Center, UC San Diego.
"Researchers here are using the GPU-based NAMD molecular dynamics software to study
how virus cells react to different drugs, including studying the effectiveness of
drugs on the H1N1 virus," said Klaus Schulten, Swanlund Professor of Physics,
Director of the NIH Resource for Macromolecular Modeling and Bioinformatics and
Co-director of the NSF Center for the Physics of Living Cells at University of
Illinois at Urbana-Champaign. "NAMD running on 4 GPUs in a workstation can
outperform 16 CPUs in a server farm."
"One of the future challenges of molecular simulation is to enable automated drug
screening. We have traditionally used GROMACS to calculate the binding of drugs to
membrane proteins by using large clusters, but this is both a costly and complex
process," said Erik Lindahl, associate professor at the Center for Biomembrane
Research at Stockholm University. "We are now adding GPU support because a single
GPU can be up to 4-5X faster than a CPU for most normal simulations. Within a few
years, we expect workstations equipped with a handful of compute cards to have taken
a huge part of the market and because of this we see NVIDIA as a critically
important partner."
Weblinks to:
The Tesla Bio
Workbench Website
Tesla GPU
Computing Products
About NVIDIA & Legal Info:
NVIDIA (
NASDAQ:
NVDA) awakened the world to the power of computer graphics when it
invented the graphics processing unit (GPU) in 1999. Since then, it has
consistently set new standards in visual computing with breathtaking, interactive
graphics available on devices ranging from portable media players to notebooks to
workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in
parallel processing which make supercomputing inexpensive and widely accessible.
Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry
for two years in a row. For more information, see
www.nvidia.com.
Certain statements in this press release including, but not limited to, statements
as to: the benefits, features, impact, performance and capabilities of Tesla Bio
Workbench, NVIDIA Tesla processors and CUDA architecture; are forward-looking
statements that are subject to risks and uncertainties that could cause results to
be materially different than expectations. Important factors that could cause actual
results to differ materially include: development of more efficient or faster
technology; design, manufacturing or software defects; the impact of technological
development and competition; changes in consumer preferences and demands; customer
adoption of different standards or our competitor's products; changes in industry
standards and interfaces; unexpected loss of performance of our products or
technologies when integrated into systems as well as other factors detailed from
time to time in the reports NVIDIA files with the Securities and Exchange Commission
including its Form 10-Q for the fiscal period ended October 25, 2009. Copies of
reports filed with the SEC are posted on our website and are available from NVIDIA
without charge. These forward-looking statements are not guarantees of future
performance and speak only as of the date hereof, and, except as required by law,
NVIDIA disclaims any obligation to update these forward-looking statements to
reflect future events or circumstances.
© 2010 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, Tesla,
and CUDA are trademarks 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. Features, pricing,
availability, and specifications are subject to change without notice.
Contact Information: For more information:
Andrew Humber
NVIDIA Corporation
(408) 416 7943
ahumber@nvidia.com
