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Help in the fight against COVID-19!
With the recent COVID-19 outbreak, R@h has been used to predict the structure of proteins important to the disease as well as to produce new, stable mini-proteins to be used as potential therapeutics and diagnostics, like the one displayed above which is bound to part of the COVID-19 spike protein.
To help our research, we are happy to announce a new application update, and thanks to the help from the Arm development community, including Rex St. John, Dmitry Moskalchuk, David Tischler, Lloyd Watts, and Sahaj Sarup, we are excited to also include the Linux-ARM platform. With this update we will continue to make protein binders to COVID-19 and related targets using the latest Rosetta source.
Thank you R@h volunteers for your continued support to this project. Your CPU hours are used not only to accurately model the structures of important proteins, but to design new ones as well. Let's band together and fight COVID-19!
More details will be available in the [Link] Discussion of this news post.
Final data is in the splitter queue.
As promised, we've stopped the process that puts new data into the queue today. Data distribution will continue until the files shown on the status pages are done. We'll be accepting results and resending results that didn't validate for a while.
Jim_S has passed away.
We are saddened to report that former moderator and long-term friend of SETI@home [Link] Jim Scott passed away unexpectedly this morning. Angela has started a [Link] thread where people can post their memories of Jim and offer condolences.
I would like to urge participants to switch to Rosetta@Home or Folding@Home (non-BOINC application but also distributed computing) to aid with Coronavirus research until a vaccine has been developed and tested. While it would be nice to solve a decades old mathematical conjecture, it would be better to do research to save lives. Please consider it. Please note that Folding@Home has both CPU and GPU applications.
SETI@home and COVID-19
SETI@home will stop distributing tasks soon, but we encourage you to continue donate computing power to science research - in particular, research on the COVID-19 virus. The best way to do this is to join [Link] Science United and check the "Biology and Medicine" box.
Doubled number of hosts
If I am not missing anything, GPUGRID volunteers doubled the number of active hosts in the last month. It may have been either due to the closing of seti@home, or a consequence of folding at home’s covid effort.
New CUDA application for Windows x64 Release
We are proud to present you the new CUDA application that was released by our team yesterday.
- We've Added support for latest Compute Capabilities (CC). Application was built with latest CUDA SDK v10.2 adding support for latest NVIDIA devices with Compute Capabilities (CC). This build supports CC 3.0, 3.5, 3.7, 5.0, 5.2, 6.0, 6.1, 7.0, & 7.5 from Kepler, Maxwell, Pascal, Volta & Turing architectures and their GeForce, Quadro, NVS and Tesla series, but does NOT supports Tegra and Jetson SoC Series devices (CC 3.2, 5.3, 6.2 & 7.2) which are not subject of interest for this project.
- Fixed issue with special Light curves which has more than 1000 points.
There is no x86 (32bit) version. CUDA 10.2 supports x64 (64bits) operating systems only.
Side effects that could be observed because of the update.
If your client shows unusual "Remaining time" for the tasks you can follow these steps:
1) Set "No new tasks" from "Project" tab for "Asteroids@Home" project.
2) Then you need to finish your recently downloaded tasks.
3) When all are done and reported to the server please reset the project with 'Reset project' button at Project tab.
We also suggest to use the latest stable version 7.14.0 of BOINC client.
And last but not least we strongly suggest users, who has CUDA enabled devices to upgrade their drivers to the latest one. For today it is 442.74 - WHQL. You will find it here: [Link] https://www.nvidia.com/Dow...
New Runs for MilkyWay@home N-Body (3/20/2020)
I am writing to let you all know that we have just put some new runs up:
Thank you all for your support,
Designing shape-shifting proteins
Thank you to all R@h participants who provided much of the computing used in [Link] a recent study published in PNAS describing the design of proteins that adopt more than one well-folded structure, reminiscent of viral fusion proteins.
For more infomation, [Link] click here.