NVIDIA Achieves Monumental Folding@Home Milestone With Cuda
GPU Computing Delivers Over a Petaflop to put NVIDIA in Top Spot in Distributed Computing Application
SANTA CLARA, CA-AUGUST 26, 2008-NVIDIA GPUs are contributing over 1 petaflop of processing power to Stanford University's Folding@home distributed computing application as of last week, according to the statistics published by Stanford. Active NVIDIA® GPUs deliver over 1.25 petaflops, or 42% of the total processing power of the application which seeks to understand how proteins affect the human body.
NVIDIA's petaflop contribution, nearly half of the processing power on Folding@home, is delivered by just 11,370 of the total active processors used in the project. In comparison, 208,268 CPUs running Windows were active, contributing just 198 teraflops - just 6% of the total processing power in the project.
Stanford University released a Folding@home client specifically for NVIDIA GPUs in June, so this staggering advance has been achieved in only a few months. Developed using NVIDIA CUDA, a C language programming environment for many-core parallel architectures, the CUDA port of the Folding@home client has delivered more processing power than any other architecture in the history of the project.
"As these statistics show, the impact of NVIDIA GPUs on protein folding simulations has been extraordinary," said Vijay Pande, associate professor of chemistry, Stanford University and director of the Folding@home project. "Teams that are folding with NVIDIA GPUs are seeing huge boosts to their production and this is helping to accelerate the project significantly."
"Applications like Folding@home are just the beginning, every day we are seeing more and more examples of computing problems that are benefitting from CUDA and our GPU technologies," said Michael Steele, general manager of visual consumer solutions at NVIDIA. "I know everyone at NVIDIA has been closely tracking the progress of the Folding@home project since the release of the CUDA port for our GPUs and we are delighted to see them making such a significant and meaningful contribution to what is extremely valuable work."
Stanford University's distributed computing program Folding@home has become a major force in researching cures to life-threatening diseases such as cancer, cystic fibrosis, and Parkinson's disease by combining the computing horsepower of millions of processors to simulate protein folding. The Folding@home project is the latest example in the expanding list of non-gaming applications for graphics processing units (GPU). By running the Folding@home client on an NVIDIA GPUs, protein-folding simulations can be done 140 times faster than on some of today's traditional CPUs.
Full table of statistics below:
Source: http://fah-web.stanford.edu/cgi-bin/main.py?qtype=osstats, as of August 19, 2008.
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 graphics products, the professional design and visualization market with its Quadro® graphics products, and the high-performance computing market with its Tesla computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. NVIDIA's inaugural NVISION 08 conference will be held August 25-27, 2008 in San Jose, California. For more information, visit https://www.nvidia.com and https://www.nvision2008.com.
Latest News Posts
- Far Cry 5 official PC system requirements revealed
- Father of Sonic joins Square Enix to work on new game
- Stardew Valley was the most downloaded Switch game in 2017
- Vive Pro's recommended PC specs may get bumped up
- Sony and Nike make official PS2 shoes
- Spectre Bios Updates
- Lian-Li PC-O11 WW Feedback and O11 Air Feedback
- Investigation: Benefits to Prioritization Software
- When is a RX570 not a RX570?
- ASRock X370 Gaming-ITX/ac Gaming (AMD X370) Motherboard
- Toshiba Memory America Unveils UFS Devices Utilizing 64-Layer, 3D Flash Memory
- ASUS Announces GeForce GTX 1070 Ti Series Gaming Graphics Cards
- ASUS Announces ASUS Hangouts Meet Hardware Kit
- Colorful Announces iGame GeForce GTX 1070 Ti Vulcan X Top
- Gainward Announces its GeForce GTX 1070 Ti Series