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Centers & Partners

CUDA Centers of Excellence
CUDA Research Centers
CUDA Teaching Centers
CUDA Fellows
Academic Partners (formerly Professor Partnership)

CUDA Centers of Excellence

The CUDA Center of Excellence Program (CCOE) recognizes universities expanding the frontier of massively parallel computing using CUDA. For more information about the CCOE program including how to apply, please see the CCOE Program. 

We are happy to announce National Tsing Hua University and Technische Universität Dresden
as the newest NVIDIA CCOEs. We look forward to working with the PIs, Che-Rung Lee and Wolfgang Nagel to further advance the field of GPU Computing. as the newest NVIDIA CCOEs. 

Current CUDA Centers of Excellence: 

Barcelona Supercomputing Center Georgia Tech Harvard University Institute of Process Engineering, Chinese Academy of Sciences
 
The Johns Hopkins University Lomonosov Moscow State University National Taiwan University National Tsing Hua University
 
Shanghai Jiao Tong University Stanford University Technische Universität Dresden Tokyo Tech
Tsinghua University University of Cambridge University of Illinois at Urbana-Champaign University of Maryland
   
 University of Tennessee University of Utah    

                                              

CUDA Research Centers

We are pleased to announce the CUDA Research Center Program, one of NVIDIAs newest academic programs.  Any institution, whose primary goals include research, can apply for the CUDA Research Center program by submitting a proposal that describes ongoing research in at least one field built around NVIDIA’s CUDA technology.  Visit the CUDA Research Center Program page for information or to apply.  We look forward to collaborating with our newest CUDA Research Centers and PIs: 

  • Bergische Universität Wuppertal (PI: Markus Clemens) - Germany
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (PI: Dietmar Fey) - Germany
  • Gdansk University of Technology (PI: Michal Mrozowski) - Poland
  • Indian Institute of Technology, Bombay (PI: Sharat Chandran) - India
  • JOANNEUM RESEARCH - DIGITAL (PI:  Hannes Fassold) -  Austria
  • Kazan Federal University (PI: Denis Demidov) - Russia
  • Middle East Technical University (PI: Alptekin Temizel) - Turkey
  • University of Malaga (PI: Manuel Ujaldon) - Spain
  • Many more CUDA Research Centers listed here

CUDA Teaching Centers

We are pleased to announce the CUDA Teaching Center Program, one of NVIDIAs newest academic programs.  The CUDA Teaching Center Program is designed to support and encourage teaching establishments to include GPU Computing as part of their course offerings.  To help facilitate this teaching effort, NVIDIA may grant equipment, funding and course material assistance. Visit the CUDA Teaching Center Program page for information or to apply. We look forward to collaborating with our newest CUDA Teaching Centers and PIs:

  • CV Raman College of Engineering (PI:  Shivendu Jauhari) - India
  • European University of Lefke (PI: Manuel Carcenan) - Turkey 
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (PI: Andreas Schäfer) - Germany
  • Perm State University (PI: Aleksey Demenev) - Russia
  • Providence University (PI: Kuan-Ching Li) - Taiwan
  • Texas A&M University - Kingsville (PI: Wei-Da Hao) - US
  • Texas State University - San Marcos (PI:  Martin Burtscher) - US
  • Universidade Federal Fluminense (PI: Esteban Clua) - Brazil
  • Università degli Studi di Milano (PI: Alessandro Vicini) - Italy
  • University of Newcastle (PI: Manuel Ujaldon) - Australia
  • University of Plymouth (PI:  Davide Marocco) - UK
  • Many more CUDA Teaching Centers listed here  

CUDA Fellows

The CUDA Fellows Program recognizes individuals who are committed to leading the use and adoption of the CUDA architecture and GPU computing. CUDA Fellows have demonstrated the benefits of GPU computing to advance their fields of research, and have been instrumental in introducing GPU computing to their peers. The CUDA Fellows Program is by invitation only and we are currently not accepting nominations or proposals. We look forward to working with our current CUDA Fellows:

Academic Partners

There is incredibly important work taking place at universities worldwide, and the NVIDIA Academic Partnership Program allows us to provide essential support to important research projects spanning all areas of parallel and visual computing innovation.  NVIDIA Research would like to congratulate the newest recipients of NVIDIA’s Academic Partner Grants!

For a listing of all our Academic Partners click here.