1 billion core-hours of computational capacity for researchers
April 07, 2011
Posted by Dan Belov, Principal Engineer and David Konerding, Software Engineer
We’re pleased to announce a new academic research grant program: Google Exacycle for Visiting Faculty. Through this program, we’ll award up to 10 qualified researchers with at least 100 million core-hours each, for a total of 1 billion core-hours. The program is focused on large-scale, CPU-bound batch computations in research areas such as biomedicine, energy, finance, entertainment, and agriculture, amongst others. For example, projects developing large-scale genomic search and alignment, massively scaled Monte Carlo simulations, and sky survey image analysis could be an ideal fit.
Exacycle for Visiting Faculty expands upon our current efforts through University Relations to stimulate advances in science and engineering research, and awardees will participate through the Visiting Faculty Program. We invite full-time faculty members from universities worldwide to apply. All grantees, including those outside of the U.S., will work on-site at specific Google offices in the U.S. or abroad. The exact Google office location will be determined at the time of project selection.
Technical Specifications and Requirements
Proposals that are ideal for Google Exacycle include, but are not limited to, research projects like Folding@Home, Rosetta@Home, various [other] BOINC 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.
We are excited to accept proposals starting today. The application deadline is 11:59 p.m. PST May 31, 2011. Applicants are encouraged to send in their proposals early as awards will be granted starting in June.
More information and details on how to apply for a Google Exacycle for Visiting Faculty grant can be found on the Google Exacycle for Visiting Faculty website.