News

GPIUTMD IUT

Graphic Processor Units for Many-particle Dynamics

.

NVIDIA is calling on global researchers to submit their innovations for the NVIDIA Global Impact Award - an annual grant of $150,000 for groundbreaking work that addresses the world's most important social and humanitarian problems. 

 

TitlePic

 The deadline for submissions is Friday, Oct. 31, at 5pm PT.

The grant will go to a researcher or institution using NVIDIA technology to achieve breakthrough results with broad impact. Among the many areas this includes are disease research, drug design & development, medical imaging, energy efficiency, natural disaster response and cybersecurity.

Researchers, non-profit institutions or universities anywhere in the world may apply. NVIDIA technology should play a significant role in enabling the project. Multiple submissions from institutions and researchers are allowed.

If you wish to put forward a nomination or encourage a contact to do so, forms may be downloaded  here. Finalists will be announced in mid-February 2015. The award will be presented at GTC 2015.

Inquiries about the NVIDIA Global Impact Award may be sent to This email address is being protected from spambots. You need JavaScript enabled to view it.

Random Images

micelle_b.jpg

Login Form

Visitors Counter

© 2009-2024 by GPIUTMD

We have 23 guests and no members online

Latest News

$150,000 AWARD FOR RESEARCHERS, UNIVERSITIES WORLDWIDE

NVIDIA is calling on global researchers to submit their innovations for the NVIDIA Global Impact Award - an annual grant of $150,000 for groundbreaking work that addresses the world's most important social and humanitarian problems. 

Read more ...

Unified Memory in CUDA 6

With CUDA 6, we’re introducing one of the most dramatic programming model improvements in the history of the CUDA platform, Unified Memory. In a typical PC or cluster node today, the memories of the CPU and GPU are physically distinct and separated by the PCI-Express bus. Before CUDA 6, that is exactly how the programmer has to view things. Data that is shared between the CPU and GPU must be allocated in both memories, and explicitly copied between them by the program. This adds a lot of complexity to CUDA programs.

Read more ...

My Apple Style Countdown

© 2009-2015 by GPIUTMD

Word Cloud

ارتقاء امنیت وب با وف بومی