With FAH GPU Core17 taking over the lion share of our calculations, with the older cores (especially core15 and core16) phasing out (as previously announced), were rolling out core 17 to full fah (not just adv). This should hopefully resolve the issue that many GPU donors have been seeing in terms of not getting any work, now that Core15 and Core16 jobs are at end of life.
WU 7810 and 7811 (both GPU-0x17 ) are completed and not issued anymore.
https://foldingforum.org/viewtopic.php?nomobile=1&f=24&t=24644
Too bad, I liked them. Short with quick turnaround; good points too. 😛
We have a policy of periodically re-evaluating the bigadv program, including the threshold required to run bigadv projects.
It is the intent of bigadv to match large and resource-intensive work units with some of the most powerful machines used by FAH donors. This "most powerful" line naturally advances with computing power. To date, bigadv has been a CPU-based program, and with increasing numbers of CPU cores and power of those cores, we have decided to lay out a roadmap of bigadv threshold changes for the next several months.
Feb 17 (two months from today): bigadv threshold will become 24 cores
Apr 17 (four months from today): bigadv threshold will become 32 cores
We want to give advance notice of these changes, and we recognize that change is not always welcome or comfortable. We should also emphasize that the science performed by donor machines is valuable in all parts of the FAH project, and part of the change in bigadv threshold is because we would like to encourage moderately powerful machines to help boost the capabilities of non-bigadv SMP projects where we do a lot of this science.
We also recognize that core count is not the most robust metric of machine capability, but given our current infrastructure it is the most straightforward surrogate to evaluate.
Thanks for pointing that out Christian!
Not a lot of notice, esp. for all the folks who have been buying 4p socket F machines lately (and I was tempted too -- good thing I didn't). What does that mean for the 2P E5 machines I wonder? Because it's not all cores, it's also clock speed…
Louis
Seems our friends in Cupertino and Stanford get together
http://folding.stanford.edu/home/working-with-apple-on-gpu-support/
Mac Pro ... The perfect folding tube; might come true
😀
January 11, 2014 by Vijay Pande ·
In working with Apple, weve been making good progress with OpenMM (our GPU code, the heart of core17) on OSX. While we cant promise anything just yet, this was encouraging. For those who are curious, you can watch our development in the open (OpenMM is of course, Open Source software) at our github repo commits link:
https://github.com/SimTk/openmm/commits/master
See the announcement for Vijay Pande on the topic
https://foldingforum.org/viewtopic.php?nomobile=1&f=24&t=25598#p256610
You will not like what you read
🙁
...and that's BA for Big A** -- they're 9401s and are worth 13,000 base points...
it'll take my 7970 GPU most of a day to do one (@ 8:24 TPF) but it'll be worth about 55K points 🙂
This is a simulation of tumor suppressor protein 53 (p53), an important cell cycle regulator and oncoprotein, binding to Sir2. From this project, we hope to learn how mutations in p53 can disrupt binding and potentially cause cancer.
Some details:
Available for Windows and Linux
~53000 atoms
13000 points
14.1 deadline
10.9 timeout
Happy folding!
Registration open for a free webinar: The Next Steps for Folding@home
February 18, 2014 by Vijay Pande ·
Ill be presenting a webinar on Folding@home open to the public on Tuesday, May 27, 2014 9:00 AM 10:00 AM PDT. You can register on this link: https://www2.gotomeeting.com/register/688201986. The goals are to talk about what weve been able to do so far and where were going.
Summary. Folding@home is a large-scale volunteer distributed computing project, started in October 1, 2000. For over a decade, new types of hardware (such as GPUs, multi-core CPUs, and PS3) and algorithms have been pioneered in order to make significant advances in our ability to simulate diseases at the molecular scale. Join Professor Vijay Pande from Stanford University for a brief introduction to the goals of Folding@home, followed by the successes so far. Prof. Pande will end with a discussion of whats being done today, as well as the plans for greatly enhancing what Folding@home can do through new initiatives currently under way.
Please note that this webinar starts at 9:00 AM Pacific, 12:00 PM Eastern, and 5:00 PM BST.