2009/02/03 by Mark S. Friedrichs, Peter Eastman, Vishal Vaidyanathan +6 · 6 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Computer Science · Chemistry · Mathematics · #Protein Structure and Dynamics #Enzyme Structure and Function #Algorithms and Data Compression #Graphics #Computer science #Graphics processing unit #Computational science #General-purpose computing on graphics processing units #Molecular dynamics #Field (mathematics) #Molecular graphics #Atom (system on chip) #CUDA #Central processing unit #Computer graphics #Parallel computing #Computer graphics (images) #Chemistry #Computational chemistry #Computer hardware #Mathematics
paper · doi:10.1002/jcc.21209
openalex publication_date 2009/02/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
We describe a complete implementation of all-atom protein molecular dynamics running entirely on a graphics processing unit (GPU), including all standard force field terms, integration, constraints, and implicit solvent. We discuss the design of our algorithms and important optimizations needed to fully take advantage of a GPU. We evaluate its performance, and show that it can be more than 700 times faster than a conventional implementation running on a single CPU core.