2009/05/01 by Adam L. Beberg, Daniel L. Ensign, Guha Jayachandran +2 · 2 citations
Computer Science · Decision Sciences · Engineering · #Distributed and Parallel Computing Systems #Scientific Computing and Data Management #Parallel Computing and Optimization Techniques #Folding (DSP implementation) #Computer science #Distributed computing #Range (aeronautics) #Architecture #Computational science #Electrical engineering #Engineering #Aerospace engineering
paper · doi:10.1109/ipdps.2009.5160922
openalex publication_date 2009/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
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.