What is the Google Exacycle for Visiting Faculty Grant Program?
Status: The window for proposal submissions closed on June 1st, 2011. We no longer accept applications at this time. Awardees have been selected and are currently working on their research projects. We will post progress and program updates on the Google Research blog as they develop.
Google will award a total of approximately one billion core-hours to up to 10 distinguished researchers and postdoctoral scholars worldwide. We are looking for projects that can consume at least 100 million core-hours. All grantees, including those outside of the U.S., will be invited to work on-site at specific Google offices in the U.S. or abroad. The exact office location will be determined at the time of project selection. Award announcements will be ongoing.
Google Exacycle for Visiting Faculty is open to all academic researchers who require unusually large computer time allocations in their pursuit of transformational advances in science and engineering. The intent of the program is to support computationally intensive projects that are enabled through the availability of massive computation capability. Both U.S. and international researchers are eligible to apply. Please note that travel requirements, such as passport and visa, as well as expenses related to relocation, travel and cost of living will be the grant recipient’s responsibility.
Awardees will participate through Google’s Visiting Faculty Program; faculty members need to have full-time status at an academic institution; postdoctoral scholars are required to have an academic appointment confirmed by a university. Awardees sign a (limited) employee agreement with Google. Program participants are urged to review the application details and guidelines and consult with their appropriate institutional representatives should they receive an award under this solicitation.
Awardees will work on a flexible schedule (part-time, full-time or semester-based) for up to one year.
Technical Specifications and Requirements
Proposals that are ideal for Google Exacycle include, but are not limited to, research projects like Folding@Home, Rosetta@Home, variousBOINC projects, and grid parameter sweeps. Other examples include large-scale genomic search and alignment, protein family modeling and sky survey image analysis.
The best projects will have a very high number of independent work units, a high CPU to I/O ratio, and no inter-process communication (commonly described as Embarrassingly or Pleasantly Parallel). The higher the CPU to I/O rate, the better the match with the system. Programs must be developed in C/C++ and compiled via Native Client. Awardees will be able to consult an on-site engineering team.
Preference will be given to projects that are fairly high-risk/high-reward with the potential to drastically transform the scientific landscape. Even projects that yield negative results can still provide public data that the community can continue to analyze. At completion of the project, we recommend, but do not require, that all the researcher's data be made freely available to the academic community.
Applying to the Google Exacycle for Visiting Faculty Grant Program
Researchers and full-time faculty members from universities worldwide may apply by sending the following items to email@example.com:
1. Two-page proposal in PDF format, including these items/sections:
- Visitor's full name and contact information (postal address, email, phone number)
- Visitor's affiliation (University, School, College and/or Department)
- Research abstract and goals
- Project description:
- Description should include estimates of total resource as well as individual instance resource (CPU, RAM, I/O, data set) consumption
- Description of software required and evidence that it could be recompiled to Google Native Client
- Description of the data processing pipeline to prepare data for and process results from the CPU intensive part of Exacycle
- Expected outcomes and results
2. A current CV
Currently, we aren't accepting proposals for this program. Please check the Google Research Blog for program updates.