Research

CUDA Center of Excellence FAQs

CCOE FAQs

Intent

Is the CUDA Center of Excellence program intended to motivate institutions to incorporate CUDA into their research and teaching, or to recognize schools that already do so? 
A: The CCOE program recognizes insitutions pushing the frontier of massively parallel computing using CUDA. A CCOE also establishes a formal relationship and fosters future collaboration between the institution and NVIDIA. Insitutions that do not yet meet the requirements for a CCOE are welcome to apply to the Academic Partnership Program, the CUDA Teaching Center Program or the CUDA Research Center Program. We also encourage Ph.D. students working on relevant topics to consider applying for the NVIDIA Graduate Fellowship Program.

Does the CUDA Center of Excellence come with a monetary grant? 
A: A CCOE is not itself a large monetary grant; it is a recognition of excellence and a vehicle for closer collaboration, including the possibility of future financial support. 

Does the CUDA Center of Excellence carry a public relations component? 
A: Yes, CCOEs provide positive publicity both to NVIDIA and our partner institutions. NVIDIA will work with the institution on joint publicity efforts (such as press releases, launch events, etc.) and on public relations surrounding the establishment and activities of the CCOE.

Eligibility

What institutions are eligible? 
A: The CCOE program targets academic institutions whose primary goals include both research and education. Candidate institutions need not be located in the United States. 

I am on the faculty of a teaching college (e.g. a four-year liberal arts college); is my institution eligible for a CUDA Center of Excellence? 
A: No, institutions whose primary mission does not include graduate-level research would normally be considered ineligible for a CCOE. Exceptions for unique circumstances will be considered on a case-by-case basis. 

I am a researcher at a non-university research organization with a strong educational mission, or affiliated with an academic institution; is my institution eligible for a CUDA Center of Excellence? 
A: Yes, if your institution is strongly affiliated with an academic institution who has high quality and broad reach of impact teaching CUDA C/C++ , your proposal will be considered. Non-university research organizations are also encouraged to review the CUDA Research Center Program.

My Institution is large and diverse. Can an institution have more than one CUDA Center of Excellence? 
A: No, only one CCOE would normally be considered per institution. If a CCOE already exists at your institution we will be happy to connect you to those researchers. 

Teaching Requirements

We don't yet teach a course in CUDA C/C++but would be happy to once we get a CUDA Center of Excellence award, is this okay? 
A: No, the teaching requirement is a precondition for a CCOE. Candidate institutions must have already taught CUDA C/C++ in some fashion, and must demonstrate a commitment to continue teaching CUDA C/C++.  NVIDIA views teaching as a vital component to fueling and expanding continued research, since courses such as these are how students will learn about and gain experience with CUDA C/C++ to take back to their own disciplines and research programs. 

I teach a class on parallel programming that uses CUDA C/C++ but not exclusively, since we also cover other types of parallelism (e.g. MPI, OpenMP). Does this meet the teaching requirement? 
A: Potentially! We are looking for evidence that students who take this class will be able to try CUDA architecture GPUs, GPU computing technologies and/or CUDA C/C++ for their own research projects. 

I teach a class on computer graphics but the students learn about CUDA C/C++ and CUDA architecture GPUs and use these in their projects. Does this meet the teaching requirement? 
A: Possibly, if you can demonstrate that the course is accessible to and taken by a broad audience (i.e., not just advanced computer graphics grad students), ideally including students from disciplines other than Computer Science.  

Research Requirements

We don't yet have multiple research projects using CUDA architecture GPUs or GPU computing technologies, but have some good ideas for research we will be able to do once we get a CUDA Center of Excellence award. Is this okay? 
A: No, the research requirement is a precondition for a CCOE. We encourage schools just getting CUDA research efforts underway to consider a proposal to the Academic Partnership Program

Applying for a CUDA Center of Excellence Award

How long should a proposal be? 
A: To reduce the proposal preparation and reviewing effort we prefer to receive short, direct, informal proposals. As an upper limit, a CCOE proposal should consist of no more than 5 pages motivation and description including budget, up to 5 pages supplementary material detailing previous or envisioned research (including references), and NSF-style 2-page biographic sketches of the principal investigators.  We invite institutions considering applying for CCOE status to discuss the possibility informally first by mailing us at CCOEProposal@nvidia.com.

When are proposals due and how long is the review process? 
A: Proposals are accepted on a rolling basis and reviewed roughly quarterly. 

General

 What CUDA Centers of Excellence have been established to date? 
A: You can find a list of all our CCOEs here.

How many CUDA Centers of Excellence does NVIDIA intend to award? 
A: The CCOE award is competitive and prestigious, and represents a significant commitment on the part of NVIDIA to collaborate with and support the designated institution. The bar is thus quite high. However, NVIDIA intends to recognize and reward true excellence wherever it emerges, and has set no fixed limit on the number of CCOEs. 

What is the duration of a CUDA Center of Excellence award? 
A: Each CCOE award has an intended duration of up to three years, subject to NVIDIA receipt and approval of an annual report. Renewal each year is at the sole discretion of NVIDIA. Thus the actual CCOE awards are made for one year, conditionally renewable each year for up to three years total.