SOURCE: NVIDIA

NVIDIA

April 15, 2010 09:00 ET

NVIDIA Invests in Computing's Future With Awards to Top PhD Students

NVIDIA Awards $250,000 in Grants to Students Engaged in GPU Computing Research

SANTA CLARA, CA--(Marketwire - April 15, 2010) -  NVIDIA announced today that it is awarding $250,000 to 10 top Ph.D. students to help solve complex visual and parallel computing challenges. Each student will receive $25,000, as well as engineering and technical support, to further their advanced research in these fields.

Participants in the NVIDIA® Graduate Fellowship Program were selected from 268 applications from 28 countries. Sponsored projects involve a variety of technical challenges, including light-transport simulation, computer vision using neuroscience, and programmability and optimization for heterogeneous systems.

"NVIDIA's commitment to funding research is producing exciting breakthroughs in science and computing," said NVIDIA Chief Scientist Bill Dally, who headed the selection committee. "The NVIDIA Graduate Fellowship Program facilitates research by supporting some of the best and brightest minds with resources and technical support. Their work will help define the future of computing."

Recipients of the 2010 NVIDIA Graduate Fellowship Program include:

  • Albert Sidelnik, University of Illinois at Urbana-Champaign
  • Anjul Patney, University of California, Davis
  • Debapriya Chatterjee, University of Michigan
  • Duane Merrill, University of Virginia
  • Henry Cook, University of California, Berkeley
  • Huy T. Vo, University of Utah
  • Jonathan Ragan-Kelley, Massachusetts Institute of Technology
  • Michael Bauer, Stanford University
  • Nicolas Pinto, Massachusetts Institute of Technology
  • Toshiya Hachisuka, University of California, San Diego

The NVIDIA Academic Research Programs have invested more than $3.2 million over the past three years in computing research that has benefited the fields of science, medicine, transportation and technology. Research conducted by past recipients of the NVIDIA Graduate Fellowship Program has produced important breakthroughs in graphics, computer vision and GPU computing. NVIDIA's total Graduate Fellowship Awards investment now tops $2 million.

The NVIDIA Graduate Fellowship Program is open to applicants worldwide. Eligibility criteria includes completion of the first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering or a related area. In addition, the student must hold a current membership on an active research team.

About NVIDIA Research
NVIDIA Research works to advance the frontiers of visual, parallel and mobile computing, and runs a variety of initiatives and programs to support top external researchers in these fields -- including funding and board donations for university research projects through professor partnerships and graduate fellowships, working with faculty to develop curriculum, providing access to developer forums, pre-released tools and drivers through NVIDIA's Developer Relations Program and providing access to some of NVIDIA's award winning books and coursework freely available online. For more information, please visit www.nvidia.com/research.

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About NVIDIA
NVIDIA (NASDAQ: NVDA) awakened the world to the power of computer graphics when it invented the GPU in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from tablets and portable media players to notebooks and workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. The company holds more than 1,100 U.S. patents, including ones covering designs and insights which are fundamental to modern computing. For more information, see www.nvidia.com.

Certain statements in this press release including, but not limited to, statements as to: commitments to fund research are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: a change in our research funding commitment as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-K for the fiscal year ended January 31, 2010. Copies of reports filed with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Copyright © 2010 NVIDIA Corporation. All rights reserved. NVIDIA and the NVIDIA logo, and nTersect are registered trademarks and/or trademarks of NVIDIA Corporation in the United States and other countries. All other company and/or product names may be trade names, trademarks, and/or registered trademarks of the respective owners with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

Contact Information

  • For more information, contact:

    Ken Brown
    NVIDIA Corporation
    (408) 486-2626
    kebrown@nvidia.com

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