Parallel and Distributed Processing Symposium, International (2009)
May 23, 2009 to May 29, 2009
Adam L. Beberg , Computer Science Dept, Stanford University, USA
Daniel L. Ensign , Chemistry Department, Stanford University, USA
Guha Jayachandran , Computer Science Dept, Stanford University, USA
Siraj Khaliq , Computer Science Dept, Stanford University, USA
Vijay S. Pande , Chemistry Department, Stanford University, USA
Accurate simulation of biophysical processes requires vast computing resources. Folding@home is a distributed computing system first released in 2000 to provide such resources needed to simulate protein folding and other biomolecular phenomena. Now operating in the range of 5 PetaFLOPS sustained, it provides more computing power than can typically be gathered and operated locally due to cost, physical space, and electrical/cooling load. This paper describes the architecture and operation of Folding@home, along with some lessons learned over the lifetime of the project.
A. L. Beberg, V. S. Pande, D. L. Ensign, S. Khaliq and G. Jayachandran, "Folding@home: Lessons from eight years of volunteer distributed computing," 2009 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), Rome, 2009, pp. 1-8.