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New paper #63: Accelerating Molecular Dynamic Simulation on Graphics Processing Units

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We're happy to announce a new paper (#63 at http://folding.stanford.edu/English/Papers).  This paper describes the code behind the Folding@home GPU clients, detailing how they work, how we achieved such a significant speed up on GPUs, and other implementation details.  

 

For those curious about the technical details, I've pasted our technical abstract below:

ABSTRACT.
 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.
 

 

Also, this software is now available for general use (for scientific research outside of FAH).  Please go to  http://simtk.org/home/openmm for more details.

 

 

 

 

 

 

 

Voir l'article complet

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Nous sommes heureux de vous annoncer un nouvel article(#63 sur http://folding.stanford.edu/English/Papers).Cet article décrit le code derrière les clients Folding@home GPU, il détailles comment ils fonctionnent et comment nous avons réalisé une telle accélération significative sur les GPUs, et d'autres détails de l'exécution.

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