Centers & Partners
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 Carnegie Mellon University as the newest NVIDIA CCOE. We look forward to working with the PIs including Kayvon Fatahalian, Ian Lane and Jike Chong to further advance the field of GPU Computing.
Current CUDA Centers of Excellence:
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:
- Baylor College of Medicine/Rice University (PI: Erez Lieberman Aiden) - US
- Indian Institute of Technology Delhi (PI: Subodh Kumar) - India
- Technion (PI: Avi Mendelson) - Israel
- University of Missouri (PI: Michela Becchi) - US
- Many more CUDA Research Centers listed here
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:
- Indian Institute of Technology Gandhinagar (PI: Murali Damodaran) - India
- Laboratório Nacional de Computação Científica (PI: Carloa Osthoff) - Brazil
- Nanyang Technological University (PI: Kyle Rupnow) - Singapore
- Tsinghua University (PI: Bo Yuan) - China
- University of Houston (PI: Barbara Chapman) - US
- University of Science and Technology of China (PI: Bin Zhou) - China
- Many more CUDA Teaching Centers listed here
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:
- Takayuki Aoki
- Lorena Barba
- Massimo Bernaschi
- Mike Giles
- Scott Le Grand
- PJ Narayanan
- Dan Negrut
- John Owens
- John Stone
- Manuel Ujaldon
- Ross Walker
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.