GPU core progress & general design philosophy
We often have to make difficult decisions on what hardware to support in the future, including adding new platforms or removing existing ones. Removing existing platforms always leads to a…
Read moreWe often have to make difficult decisions on what hardware to support in the future, including adding new platforms or removing existing ones. Removing existing platforms always leads to a…
Read moreGuest post from Dr. Gregory Bowman, University of California, Berkeley One objective of the Folding@home project is to provide insight into general protein folding mechanisms that hold across a variety…
Read moreToday, we have a guest post by Team MaximumPC. Two new work unit servers have been funded by the Folding@home (FAH) community in memory of Gordon T. Smitheman and his…
Read moreApril 2016 update: The latest FAHBench information is available at fahbench.github.io As previously blogged, FAHBench is the official Folding@Home GPU benchmark. It measures the compute performance of GPUs for Folding@Home. In addition,…
Read moreAs also announced on OpenMM/Folding@home programmer Yutong "proteneer" Zhao's web site, we are happy to announce that Folding@Home Core 17 has entered Beta. Externally, you probably won’t notice too much…
Read moreOpenMM is a key part of Folding@home, powering its GPU cores. You can learn more about OpenMM at its youtube page, which includes technical videos on how you can incorporate…
Read moreBiophysical Journal announced their "Best of 2012" paper collection. We were excited that one of our papers was included. That work, "Protein Folding is Mechanistically Robust" investigates how key aspects…
Read moreFolding@home has historically been an extremely powerful computing resource, hitting many major computing milestones. For example, we were awarded a Guinness World Record for being the first to reach a…
Read moreWe've rolled out the latest version 7.3 client to the main web site. This new client should be much easier to install and comes with a new web interface which…
Read moreGuest post from Dr. Greg Bowman, University of California, Berkeley Markov state models (MSMs) are a powerful approach for investigating the dynamics of proteins and other biomolecules. The Folding@home…
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