Tesla Bio Workbench, NVIDIA запускает проект Налаштування

[Alien]

Коллега из нВидиа, прислал мне новость... будет полезна.

Добрый день!

NVIDIA запускает проект Tesla Bio Workbench – портал, который будет агрегировать информацию о применении GPU в приложениях молекулярной динамики, вычислительной химии, биологии, биохимии, иммунологии, генетики, физиологии, экологии и т.д. (Life Sciences).

Ссылка на портал: http://www.nvidia.com/object/tesla_bio_workbench.html

Представляю вашему вниманию первые обзоры Tesla Bio Workbench в прессе.

Основную информацию по программе Bio Workbench, включающую 5 видео описаний применения GPU NVIDIA для задач молекулярной динамики, вы можете найти на http://www.nvidia.com/object/io_1263450185923.html и http://www.nvidia.com/object/tesla_bio_workbench.html

AMBER http://www.youtube.com/watch?v=sVeYwu95ods

Использование GPU для исследования H1N1 http://www.youtube.com/watch?v=GYr4EfnfCq0&feature=related

Procter&Gamble http://www.youtube.com/watch?v=0DhHUMrtmPc

VMD http://www.youtube.com/watch?v=FzcBpJ98-Os

LAMMPS http://www.youtube.com/watch?v=EgtYBx2eiEI

Пресс релиз компании Procter & Gamble вы можете найти на http://www.nvidia.com/object/io_1263443092139.html

Пресса:
The Register: http://www.theregister.co.uk/2010/01/14/nv..._bio_workbench/

“The Tesla Bio Workbench is not just about complex molecular and bacterial simulations at the largest supercomputer centers, but doing practical things like discovering new drugs or designing a better shampoo or detergent more quickly than currently can be done.”


HPCWire: http://www.hpcwire.com/features/NVIDIA-Tak...s-81521012.html
“NVIDIA's point with the Tesla Bio Workbench is that GPUs can make computational bioscience a much less expensive proposition than ever before. Because of the data parallel computational capabilities of the modern graphics processor, for many science applications a GPU-equipped workstation can replace a small CPU cluster, while a moderate-sized GPU cluster can stand in for a high-end supercomputer. This lowers up-front hardware costs, energy use over the life of the system, and datacenter space.”

insideHPC: http://insidehpc.com/2010/01/14/nvidia-mov...-life-sciences/

“We’ve had more than ample opportunity to comment on NVIDIA’s GPUs here over the past year or so, and the point I keep coming back to is that they have been genius at building an ecosystem around their product that has created a network effect — the more people that use NVIDIA’s gear, the easier it is for still more people to come into the fold.”

GenomeWeb on Bio Workbench: http://www.genomeweb.com/blog/nvidia-launc...e-aimed-biotech, linked heavily to our site and to the sites of the codes themselves, and also on Temple story a few days prior: http://www.genomeweb.com/blog/dell-gpu-clu...-blow-your-mind

Wall St Journal online edition today on the legacy of Nikola Tesla: http://online.wsj.com/article/SB1000142405...icle-outset-box

One more great article in BioInform which is the monthly newsletter from GenomeWeb: http://www.genomeweb.com/informatics/eyein...ence-?page=show

Anton Dzhoraev,
Professional Solutions Sales Manager - Russia & CIS, NVIDIA