Monday, October 20, 2014
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
Apple iOS 8.1 Available For Download
E FUN To Relase $179 Windows tablet
Microsoft And Dell Puts Azure In A Box
TDK Brings Wireless Charging To Electric Cars
Intel To Work With AT&T To Research Software Defined Networking
Intel Meegopad T01 Is A Bay Trail PC On HDMI Stick
Biostar Relases New iDEQ-T1 Compact Desktop
SK Telecom and Samsung Join Hands to Lead 5G Network Technology
Active Discussions
How to generate lots of different CDs quickly
Yamaha CRW-F1UX
help questions structure DVDR
Made video, won't play back easily
Questions durability monitor LCD
Questions fungus CD/DVD Media, Some expert engineer in optical media can help me?
CD, DVD and Blu-ray burning for Android in development
IBM supercharges Power servers with graphics chips
 Home > News > Graphics Cards > Nvidia'...
Last 7 Days News : SU MO TU WE TH FR SA All News

Thursday, January 14, 2010
Nvidia's Tesla Bio Workbench Enables Scientists to Achieve New Breakthroughs


By harnessing the parallel processing power of NVIDIA Tesla GPUs, researchers at Temple University are developing a computer simulation model which provides companies with a fast and accurate tool for research and development of surfactant molecules.

Surfactants have many uses; for example they provide the cleaning capacity and texture of shampoos, laundry detergents, and many other cleaning products. Their job is to attach themselves to dirt and make it mix with water, and their effectiveness in this process determines their ability to clean. The process of finding new, better surfactants and testing their effectiveness in laboratories is time consuming and costly.

"The computer models needed to accurately simulate surfactant properties are extremely demanding in terms of computational power," said Axel Kohlmeyer of the Institute for Computational Molecular Science at Temple University. "We discovered that by adding just two NVIDIA Tesla C1060 GPUs, each node in our newest cluster can do 16 times more work, and thus multiplies our local compute capacity far beyond what we could previously get through the national supercomputing centers."

"To put this into context, we can run a single GPU-optimized molecular dynamics simulation on two Tesla GPUs as fast as we can on 128 CPU cores of a Cray XT3 supercomputer or on 1024 CPUs of an IBM BlueGene/L machine with conventional software," continues Dr.Kohlmeyer. "With the NVIDIA Tesla GPU-based solution, we now have a more powerful, cost-effective solution that will enable us to advance critical research at a much faster pace. We?re moving rapidly ahead to deploy a larger Tesla GPU cluster at Temple, which will give another huge boost to our work."

The Temple researchers are using GPU-accelerated HOOMD (Highly Optimized Object Oriented Molecular Dynamics) simulation software, written by researchers at the Department of Energy?s Ames Laboratory to leverage the NVIDIA GPUs.

In addition to deploying a small local GPU cluster, the university team will also look to scale its work using the NCSA Lincoln cluster, where the computational output has been boosted to 47 TeraFLOPS through the addition of Tesla S1070 1U GPU systems.


Previous
Next
Edit and Convert Windows Media Center TV Recordings with the New TMPGEnc 4.0 XPress Update        All News        Intel Quotes AMD's Executives To Defend Against FTC
NVIDIA Details GF100 GPU     Graphics Cards News      ATI Radeon HD 5670: DirectX 11 for the Mainstream

Get RSS feed Easy Print E-Mail this Message

Related News
Nvidia Gives $100,000 To GPU-Powered Startups
Nvidia Brings Maxwell Architecture to Notebooks
ITC Opens Investigation Into Samsung Product Infringement of NVIDIA GPU Patents
New GeForce WHQL Driver Released
NVIDIA Unveils Full Power of Maxwell GPU Architecture With GeForce GTX 980, 970 Graphics Cards
Nvidia Files Patent Infringement Complaints Against Samsung and Qualcomm
AMD, Nvidia, Refresh Their Professional Graphics Cards Lineups
Nvidia Details New 64-bit Tegra K1 Denver Processor For Android
Nvidia Reports Positive Q2 Earnings
NVIDIA Rolls Out the GeForce 340.52 WHQL Driver
NVIDIA Launches Shield Tablet For Gamers
Nvidia's New Gaming Product Is a New Shield Tablet

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2014 - All rights reserved -
Privacy policy - Contact Us .