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Academic Research News
Welcome, New CUDA Centers!

Institutions part of our CUDA Research & Teaching Centers continues to grow by leaps and bounds. This past quarter we added more than two dozen institutions to our roster, bringing the total to 336 CUDA Research and Teaching centers. For more information on NVIDIA research activities and these programs, please visit the NVIDIA Research site.

Congratulations to the following CUDA Research and Teaching Centers:

CUDA Research Centers

CUDA Research Center
  • Bilkent University (PI: Ozcan Ozturk) – Turkey
  • Chinese Academy of Sciences, Qingdao Institute of Bioenergy and Bioprocess Technology (PI: Xiaoquan Su) – China
  • École  Centrale Paris, France (PI: Frédéric Magoulès) – France
  • Freie Universität Berlin (PI: Knut Reinert) – Germany
  • T.C. Okan University (PI: Behnam Rahnama) – Turkey
  • The University of Manchester (PI: Michael Bane) – UK
  • Tunghai University (PI: Chao-Tung Yang) – Taiwan
  • University of Alberta, Mazankowski Alberta Heart Institute (PI: Kumaradevan Punithakumar) – Canada
  • University of Alicante (PI: Jose Garcia-Rodriquez) – Spain
  • University of North Carolina at Charlotte (PI: Wenwu Tang) – US
  • University of South Florida (PI: Yi–Cheng Tu) – US

CUDA Teaching Centers

CUDA Teaching Center
  • AMA University (PI: Chris Satulan) – Philippines
  • Amrutvahini College of Engineering Sangmner (PI: Shrinivas Sonkar) – India
  • Goa College of Engineering (PI: Chetan Desai) – India
  • Institute of Information Technology, Roorkee (PI: Dhavalkumar Patel) – India
  • Jawaharlal Nehru Engineering College, Aurangabad  (PI: Madhuri Joshi) – India
  • National Institute of Technology (PI: Dr. S. Nicholas) – India
  • National University of Science and Technology (PI: Tariq Khan) – Pakistan
  • Ruhr–University Bochum (PI: Diana Goehringer) – Germany
  • Southern Illinois University (PI: Michelle Zhu) – US
  • Southwest Petroleum University (PI: Bo Peng) – China
  • Sri Sathya Sai Institute of Higher Learning (PI: Pallav Kumar Baruah) – India
  • T.C. Okan Üniversitesi Tuzla Kampüsü (PI: Behnam Rahnama) – Turkey
  • University of Colorado at Colorado Springs (PI: Terrance Boult) – US
  • University of Guadalajara (PI: Liliana Barbosa Santillan) – Mexico
  • University of Texas at Tyler (PI: Quoc–Nam Tran) – US
  • Vidya Prathishtan's Institute of Information Technology (PI: Amol Goje) – India
In this issue:

New CUDA Centers

Academic Research Program Highlight - Graduate Fellowship

Register for Developer Zone at SC13

NVIDIA GPU Technology Conference - Call for Papers Open!

NVIDIA Conference Sponsorships

Tesla GPU Updates

CUDA & Tesla Resources Available

Apply Now! NVIDIA Opens 2014-2015 Graduate Fellowship Program Submission Period

Launching its 13th Annual Graduate Fellowship Program this month, NVIDIA is accepting applications now through January 15, 2014.

Applicants must have completed their first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering, or in a related area. In addition, applicants must have current membership on an active research team, and be enrolled as a full-time Ph.D. student during the term of the award.

The program is open to applicants worldwide and will award up to 10 Graduate Fellows each with a U.S. $25,000 grant for innovative excellence in GPU computing research for the 2014-2015 academic year. In addition to the monetary support, NVIDIA offers the Fellows access to collaborate with our own top talent, and to engage with the broader GPU technology community.

For more information on eligibility, how to apply, and for program FAQs, visit the Graduate Fellowship page here.

Join NVIDIA at SC13 - Register for Developer Zone

For the first time ever, NVIDIA is hosting the GPU Developer Zone at SC13. Designed for developers, this lab + lounge is staffed by NVIDIA experts to provide the perfect setting to talk with them about your GPU computing projects, learn the latest development tips and tricks, or take a short, self-paced training - and come away knowing more about accelerating your applications with CUDA C++/Fortran/Python, OpenACC, GPU-Accelerated Libraries. If you’re attending SC13 make sure to reserve your seat in advance, simply select the date, and you’ll see available times:

            •  Tuesday, November 19, 2013
            •  Wednesday, November 20, 2013
            •  Thursday, November 21, 2013

For complete info on NVIDIA activities at SC13, including speaker lineup for the GPU Technology Theater, visit www.nvidia.com/sc13. We look forward to seeing you at SC13!

NVIDIA GPU Technology Conference - Call for Posters Now Open!

GPU Technology Conference (GTC) 2014 will take place March 24-27, 2014 at the San Jose Convention Center in San Jose, California.

GTC provides premium education and attracts researchers, developers, and technologists from over 50 countries and from a wide range of fields. This means that your next breakthrough could be just one conversation away.

Call for Posters is now open and remains open until January 31. For detailed submission instructions, as well as the many benefits of presenting, please visit the Call for Posters page. By submitting you have a chance to win the inaugural Best Poster Award and take home bragging rights.

Registration will open in the next couple of weeks. Stay up-to-date on all of the news and announcements about GTC by joining the mailing list.

Missed GTC 2013? See the highlights by downloading the recap brochure.

Best Paper & Poster Awards at NVIDIA Sponsored Conferences

Throughout the year NVIDIA has the pleasure of sponsoring conferences around the world. This sponsorship is in the form of a donated GPU to be awarded to either a Best Paper or Best Poster competition {or something similar}. In the upcoming quarter NVIDIA has sponsored "Best Paper or Poster Awards" for the conferences below. Take a moment to see what is happening around the world and plan to attend if you can:

If you are interested in having NVIDIA sponsor your conference with the donation of a GPU as a "Best Paper or Poster Award" please submit a proposal through our Academic Hardware Donation online form. 

Tesla GPU Updates

We have two exciting news for you:

  1. NVIDIA Tesla K20X GPU, the fastest accelerator in the world, is now available at an attractive new price. Contact a NVIDIA OEM or a Tesla preferred partner (TPP) to get the latest pricing.
    • Watch this 1.5 min video to see why your colleagues choose Tesla K20X to accelerate their research.
    • You can also try a K20X for free in the GPU Test Drive by registering here.
  2. We also have a special new product coming. If you are interested in trying, please e-mail gegupta@nvidia.com to sign a non-disclosure agreement (NDA) and get access.

CUDA and Tesla Resources Available

Here are some new resources for you to use:

  • Powerpoint presentation that has an overview of GPU accelerated computing and Tesla {download here}.
  • Sign up for CUDA newsletter to keep in touch with what others are doing with CUDA and the latest updates on CUDA releases and news. Latest CUDA newsletter.
 
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