Release: New core 21 v.0.0.18 with support for Nvidia drivers 375.57+

We are pleased to announce the release of core 21 v0.0.18 to full FAH. The updated core will be pushed out automatically for both windows and linux donors over the next week as projects are updated to require this min-core-version.

This release contains a workaround for a change made in the NVIDIA OpenCL driver introduced in drivers starting with 375.57, as well as some improvements to error handling codes.

While a slight reduction in performance may be observed, this performance regression should be eliminated when NVIDIA removes the hotfix in forthcoming driver updates.

There is a known issue that this release will, for some projects, print sporadic messages to the log due to a known visualizer bug:

05:34:52:WARNING:FS01:Size of positions 64914 does not match topology 19

This issue does not affect the quality of the science, and a workaround is already in testing for v0.0.19, which we hope to release in a week.

Thank you all for your patience.

Kindly report issues here:

https://foldingforum.org/viewtopic.php?f=24&t=29633

~ The FAH Core 21 crew

New paper: predicting how mutations perturb folding

In a new article published in the Journal of Chemical Theory and Computation, researchers from the Voelz Lab address an important challenge for molecular simulation: how to efficiently predict the effects of small changes like mutations, without having to perform separate large-scale simulations for each protein sequence.

In this new work, the statistical mechanical principle of Maximum Caliber is applied to Markov State Models of protein folding, resulting in an extremely efficient algorithm to estimate changes in folding kinetics directly from changes in equilibrium state populations. This new method could also be applied to protein design, by inferring how mutations and other perturbations affect folding, to quickly filter promising designs without the expense of performing simulations.

Reference:

A maximum-caliber approach to predicting perturbed folding kinetics due to mutations. Hongbin Wan, Guangfeng Zhou, and Vincent Voelz. Journal of Chemical Theory and Computation 12 (12): 5768–5776 (2016) doi:10.1021/acs.jctc.6b00938

Stats is back online!

IT has resolved the outstanding issue. Apologies for any inconvenience this outage may have caused.

Stats down, the team is on it

The stats server is down right now and we’re looking at it.  Our main IT support is out for the holidays so the time to get it back up may be a bit longer than we would all like.  We’ll keep you all updated here.

Stats back online!

Stanford IT managed to finish their work earlier than expected. The stats system should be back up and operating normally.

STATS DOWN FOR SCHEDULED MAINTENANCE UNTIL 12/9

The stats server will be down between December 7th and the 9th. Points will not be accessible during this time, but will still be accruing.

Stats System is up and running under a new url

We experienced some technical issues with one of our client-side servers (fah-web.stanford.edu).

And have worked hard to solve this.

Which resulted in a server transfer and new urls for:

 http://fah-web.stanford.edu/cgi-bin/main.py?qtype=userstats

  http://fah-web.stanford.edu/cgi-bin/main.py?qtype=teamstats

  http://fah-web.stanford.edu/cgi-bin/main.py?qtype=osstats2

Have changed to:

http://folding.stanford.edu/stats/donors

http://folding.stanford.edu/stats/teams

http://folding.stanford.edu/stats/os

Our new feature monthly stats has new urls aswell:

http://folding.stanford.edu/stats/donors-monthly

http://folding.stanford.edu/stats/teams-monthly

 

Our http://fah-web.stanford.edu/ is still down and Stanford IT is working on it which means that our resources on that page are still unavailable.

Thank you for your patients.

FAH team

Stats System Down Temporarily

We’re experiencing some technical issues with one of our client-side servers (fah-web.stanford.edu).  Stanford IT is working hard to get things working again, but in the meantime individual and team points data might not be accessible (however all work units should receive credit). We’ll post an update as soon as things are up and running again.

Core 21 (OpenMM GPU) issues with new Windows NVIDIA drivers 375.57 and 375.63

Core 21 (OpenMM GPU) issues with new Windows NVIDIA drivers 375.57 (released 10/20) and 375.63 (released 10/23) 

 

We have received a number of reports that the recent release of Windows NVIDIA drivers 375.57 (released 10/20) and 375.63 (released 10/23) is causing many core 21 (OpenMM) projects to fail. We don’t yet know the cause of this problem, but are actively investigating it.

 

In the meantime, we strongly encourage you to stick with or downgrade to the last known working Windows NVIDIA driver (372.70) if you would like to continue folding core 21 (OpenMM) GPU projects.

 

If you have already upgraded to 375.57 or 375.63 and are experiencing issues, we encourage you to report your issues to the NVIDIA Driver Team:

http://surveys.nvidia.com/index.jsp?pi=6e7ea6bb4a02641fa8f07694a40f8ac6

 

Thanks for bearing with us, and we hope to have a solution soon.

 

~ The Folding@home core 21 team.

Stats system update includes a new feature: monthly leaderboards

In our regular updating of FAH systems, we’ve done a recent update of the stats website internals to help speed them up and bring them to new infrastructure that should be more reliable.  Along the way, lead FAH Programmer Joseph Coffland added a suggestion from FAH Marketing Relations lead Anton Thynell to include a new sort of competition: a monthly leaderboard.

This monthly leaderboard will naturally give the top donor and top team for each month and we will collect the top leaders for each month for recognition over the year.  Our intent was to give new donors a way to more directly see their contribution immediately and to in general encourage more friendly competition that helps us push forward our science even faster.

The updated page is found here:

http://folding.stanford.edu/stats/

Add your computer's power to over 327,000 others that are helping us find cures to Alzheimer's, Huntington's, Parkinson's and many cancers ...

... in just 5 minutes.

Step 1.

Download protein folding simulation software called

Folding@home

.

Step 2.

Run the installation. The software will automatically start up and open a web browser with your control panel.

Step 3.

Follow the instructions to Start Folding.

Stanford University

will send your computer a folding problem to solve. When your first job is completed, your computer will swap the results for a new job.

Download the protein folding simulation software that fits your machine.

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Installation guide
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