Folding@Home has a blog post that says no here. "TL;DR: DeepMind’s AlphaFold marks a tremendous advance in our ability to predict the dominant structure of a protein. How proteins get there, and many other problems related to protein folding, remain unsolved. Synergies between AlphaFold and Folding@home could enable more progress."
I don't think that's available (yet?). See this:
>Given this information, we are uniquely positioned to help model the structure of the 2019-nCoV spike protein and identify sites that can be targeted by a therapeutic antibody. We can build computational models that accomplish this goal, but it takes a lot of computing power.
>This is where you come in! With many computers working towards the same goal, we aim to help develop a therapeutic remedy as quickly as possible. By downloading Folding@home here [LINK] and selecting to contribute to “Any Disease”, you can help provide us with the computational power required to tackle this problem.
https://foldingathome.org/2020/02/27/foldinghome-takes-up-the-fight-against-covid-19-2019-ncov/
Edit: Formatting...
To be honest, I'm new to it as well and I've only used the command line client on unix, but it looks like there's some instructions here for the GUI client. You were on the right track with the Expert tab in Configuration. Under Extra client options, it looks like you can add an entry for max-packet-size
and set the value to small
.
In my experience, changing options/flags like this won't take effect until the next work unit, and you may need to quit and restart F@H as well.
<code>https://foldingathome.org/support/faq/points/passkey/</code>
If you haven't set a passkey up. I had that mistake months ago. You should get 800k PD. I have GTX 1660TI mobile that gets around 950k PD
Have you set your GPU's client-type to advanced? If so, you might give that a try. (There's an example of how to do this here: https://foldingathome.org/support/faq/installation-guides/configuration-guide/#customize-one-slot-local-setting).
(Note: do NOT set client-type to "beta" unless you're an approved beta tester. This will screw up beta testing and slow down the work we are doing.)
I'll add to what other's have said: adding client-type=beta flags to your GPU slots will also ensure more work units. You can read more about flags here: https://foldingathome.org/support/faq/installation-guides/configuration-guide/
https://foldingathome.org/about/the-foldinghome-consortium/
The data that goes into Folding@Home, to say the least, gets shared with researchers from all over the world. It's not exclusive to the US, as much as the US President may wish for it to be. That's not how Science gets done.
No problem. Here is a couple of list of some other ones in case they don't work. One is a bit older but tells you what the requirements are.
https://boinc.berkeley.edu/projects.php
https://boinc.berkeley.edu/wiki/GPU_computing
Hope it helps!
If you haven't, you can check out other projects using BOINC if f@h is the only thing you have set up for now: https://boinc.berkeley.edu/projects.php
rosetta@home is doing work on covid-19 as well.
Boinc also has projects running on mobile devices.
https://play.google.com/store/apps/details?id=edu.berkeley.boinc&hl=de
Favorite Shows: Game of Thrones Modern Family House of Cards Big Bang Theory NCIS CSI The Mentalist Futurama
Books: A Song of Ice and Fire Introduction to Algorithms Ender's Game Hunger Games Berserk
For folding GPUs must support double precision (fp64) and openCL1.2, both of which your cards don't. So your cards are simply too old. You might want to use BOINC (eg. Einstein@home if you have spare GPU power.
Download HWINFO64 (official page: https://www.hwinfo.com/)
Then look for the drives section and see what it says about the smart details. Should tell you if anything is wrong.
I highly doubt this is the case, but it's important to eliminate this possibility.
There's a certain % of work units you need to complete in time before the timeout to get the bonus. If you fail too many, you won't get a bonus anymore until your % gets higher again.
The quick return bonus are the extra points you're getting. The sooner you complete a WU, the higher the bonus. More info here: https://foldingathome.org/faqs/points/bonus-points/what-are-the-qualifications-for-the-qrb/?lng=de
It seems that way. It says on a faq:
>with GPU FAHCore 17, we can run any computation that we can do on the CPU on the GPU.
Given this, I don't see a point of using CPU for folding --- not because of points difference, but I think the electricity is wasted.
See https://foldingathome.org/2020/09/27/updating-our-cpu-and-gpu-counts/
In short, the overall performance peaked back in March/ April 2020 when COVID was relatively new and FAH received support from people in the gaming community. Over time, the number of "user" volunteers has declined as interest waned (which is natural -- research such as what FAH does cannot be expected to produce results overnight and people tend to get bored or realize their electricity bills are higher).
In August/ September, FAH's performance was being reported as over 3,000 peta flops. This was when FAH was also receiving support from companies who were donating their unused computing resources. However, a side effect of some of these "containers" was that they were registering as a new CPU every time they processed a work unit, thereby inflating the "active" CPU counts.
The folks at FAH addressed this by reducing the window used to determine active clients (a client that has successfully returned work) from 50 days to 3 days.
I use scaleway and I believe that those servers are mine as long as I follow their ToS. I haven't found anything about load policy there. I also use those server as build machines, so they are full loaded majority of the time and I haven't had any issues so far.
I would guess either a driver issue or your GPU is still being taxed, possibly by FAH not pausing work properly. You might try reinstalling FAH or your GPU drivers to see if that fixes anything.
Alternately, if you have already done this I would suggest using Process Explorer to see if something is using your GPU when you think everything is idle. You'd need to add the GPU column by clicking on View > Select Columns tab > Process GPU > GPU Usage > OK
PortableApps has released a version of the Folding@home app that doesn't require admin privileges. See https://portableapps.com/apps/utilities/folding-at-home-portable
It is pretty simple to install -- download, install to any folder and run. After which point, the Folding@home app's configuration kicks in.
As others have cautioned, please ensure you have permission to run software on your computer. The last thing you'd want in a situation like this is for a company to use this as an excuse to terminate your employment.
I’m pretty sure FAH doesn’t support fine tuning resource usage like that unfortunately.
The worst thing you may do is crash the folds you're doing now, which just means once they expire they'll be reasigned to someone else. So play around with the slots a little, it's a lot easier than re-installing.
Notes:
It tooke me FOREVER to find the GPU radial button when I was adding in my old 970.
You can probably leave the slot index at -1, this will let F@H automatically slot it. If it doesn't work you can try to add the number yourself. Here is a guide https://foldingathome.org/support/faq/installation-guides/windows/multi-client-installation-adding-slots-expert-users/
I don't know how exprienced with PCs you are, so if you are ignore this. Make sure you're not exceeding the maximum wattage of your PSU. With 2 GPUs you can easily load a 650w under load.
Have you updated to the latest version of the client (7.6.13)? In theory there's no reason that should get you more WUs, since they say it just updated some UI stuff, but there's anecdotal reports on the subreddit of people who hadn't been getting WUs getting one as soon as they updated.
there's some sort of cl error that might indicate a driver issue. best practice is to get drivers directly from nvidia web site, and then reinstall fah... BUT I'm unfamiliar with ur gpu. is that really old? u must be able to support openCL1.2, 1.1 at the very least
When talking about they wrote that projects can be a CPU or GPU project:
" Our plan is to treat all WUs identically. We can now do the same calculations (including implicit and explicit solvation) on both CPUs and GPUs. In years past, these two pieces of hardware were treated differently. This is no longer the case. Our plan is to introduce the Quick Return Bonus to GPUs as we roll out our new GPU core, FAHCore 17. "
https://foldingathome.org/support/faq/points/
Maybe they roll out cpu projects as well in order to use their power as well even though they are slower than GPUs for the projects.
> Is it worth bothering for 25k in a month? What's it accomplished? Is it really valuable or are my little machines taking work away from faster nodes that could do a week of my work in a day?
Modern GPUs can do much more calculations than cpus. Thats why you can get about a million points per day with a good GPU but far less points with a cpu. For example my GPU a GTX 1070ti can do about 800.000 points per day while my CPU a ryzen 1700x does only about 20.000 points per day even though it is an overall balanced system.
But you can't do all required calculations on a GPU. Thats why it still helps adding more CPU's to the project even though not that many points are generated.
One way to increase your point output is get passkey for you machines. Did you allready do that?
just going off that pic, Waiting on Attempts: 0
Next Attempt: Unknown
could be that it's downloading something right now. if it stays like that for more than a few minutes then it's something else and u should reinstall using https://foldingathome.org/beta
I was just having the same issue. Two 1060 6GB GPUs weren't being detected on a new install. The miniFAQ mentioned a beta build, and now both are working:
Hey thanks for your reply, notes, and links for HFM. Perhaps for the C# code will be easier for me to interpret rather than FAH's Python implementation
I absolutely agree that an HTTP API would be more accessible. Interestingly enough I just realized that the fah-client itself is not actually opensource.
overclocking is a bit harder here than in regular use. Off the top of my head i think there's FAHBench to help test as well as maybe 1 more for the cpu or gpu (i can't remember)
there are certain covid projects which are exclusive to CPUs, but it's up to you what hardware u want to offer towards FAH.
your GPU is supported, so if u installed with the glitchy 7.6.9 there's threads on how to get ur GPU recognized, or my suggestion would be to try 7.6.10 https://foldingathome.org/beta and if u do, pls report back if it works or not
Oh, I think I know what your problem is.
I don't think your GPU is supported. The F@H Requirements page says you need at least a GTX 4xx series GPU.
You have a 2xx (230m) series, which isn't enough.
Do you have old logs, back to the section starting with
************************* Folding@home Client ************************* 21:02:02: Website: https://foldingathome.org/ 21:02:02: Copyright: (c) 2009-2018 foldingathome.org 21:02:02: Author: Joseph Coffland <> ...
Or something like that? It might be helpful to see what's under the System section, specifically about GPUs, OpenCL device, and CUDA device. Mine looks like this:
21:02:02:******************************* System ******************************** 21:02:02: CPU: Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz 21:02:02: CPU ID: GenuineIntel Family 6 Model 158 Stepping 12 21:02:02: CPUs: 16 21:02:02: Memory: 31.29GiB 21:02:02: Free Memory: 3.17GiB 21:02:02: Threads: POSIX_THREADS 21:02:02: OS Version: 5.5 21:02:02: Has Battery: false 21:02:02: On Battery: false 21:02:02: UTC Offset: 0 21:02:02: PID: 8 21:02:02: CWD: /var/opt/folding 21:02:02: OS: Linux 5.5.5-050505-generic x86_64 21:02:02: OS Arch: AMD64 21:02:02: GPUs: 1 21:02:02: GPU 0: Bus:1 Slot:0 Func:0 NVIDIA:8 TU104 [GeForce RTX 2080 Super] 21:02:02: CUDA Device 0: Platform:0 Device:0 Bus:1 Slot:0 Compute:7.5 Driver:10.2 21:02:02:OpenCL Device 0: Platform:0 Device:0 Bus:1 Slot:0 Compute:1.2 Driver:440.66
When I've messed things up with my drivers or cuda or opencl before, usually something changes in that GPU section to say what's missing.
Go to https://foldingathome.org/support/faq/installation-guides/configuration-guide/ and you'll find how to configure your folding slots. In Figure 5, there's a configuration for number of CPU threads the slot will use (it defaults to -1 for autoconfig). Make sure you take into account the 2 extra threads you'll need to support both GPU folding slots. For example, if your CPU has 12 threads, 1 will be taken by each GPU slot, and you're only going to have the remaining 10 threads available. You might want to configure it even lower than that, ie. 8 or 6, just to avoid slowing down your GPU folding when you're doing other work at the same time.
Here's the list of news articles from Folding at home's official site:
https://foldingathome.org/2020/03/18/news-articles-published-in-march/
Clearly a lack of mainstream media.
Great, thanks for the feedback. I've updated the info to make it clear that Beta is just that, Beta and it would be best if monitored.
Maybe what I can do is add the Advanced trick as the first thing to try and then do the Beta if not getting enough WUs? I'm just apprehensive about it seeing as the guide's warnings are similar to Beta anyway, which we know has plenty of WUs. If you can perhaps point me to a post/guideline about advanced that I can link people to that might help, it's just been hard to find much given "advanced" is such a generic word to search for and comes up with unrelated stuff. Anything you've got is appreciated!
Not sure if it applies in this specific case, but see: https://foldingathome.org/support/faq/running-foldinghome/
What is simulation instability?
The simulation of molecular motion involves a great deal of computation. Each run consists of a number of time steps (each very small). At each time step, the position of the various atoms is calculated and updated, based on a number of factors. Sometimes, the simulation enters into a state that is not legal (i.e. atoms are too close, bonds are in impossible angles, etc.). At times like this, the Core exits, and information is uploaded to the server. The client will then get another assignment. If your computer is stable, then you haven’t done anything wrong. On unstable computers, it is possible that the simulation instability was brought on by a fault of the system rather than something intrinsic to the work unit. Because of this, a work unit may be sent out again at some time if it is returned as having run into instability. In a given project, we expect a small percentage of units to encounter legitimate instability.
I’m not aware of how the issues with the original AMD drivers were discovered. However, from the FAQ — “Work is rarely duplicated (except when a computer fails to complete an assignment in a timely manner) so every set of PRCG numbers is unique and only assigned to one person.”
From the FAQ — “Work is rarely duplicated (except when a computer fails to complete an assignment in a timely manner) so every set of PRCG numbers is unique and only assigned to one person.”
You can get beta workloads to help test upcoming projects. Go to Configure
, Slots
, pick a slot and click Edit
, and add the client-type
option to advanced
.
See the FAQ page for screenshots and more info on the options.
Source: https://greenfoldingathome.com/
I think it's normal.
if you check here, your cpu will be running 3/4 (I know it is 87%.... but if its full, it would be ~9x% instead) + the CPU time you will need for your gpu, so I think you seeing 95% cpu usage in task manager is "normal".
If you really want to keep your CPU ~3/4 usage, consider using less cpu slot in configure?
I'm not trying to be a buzzkill, but just FYI: If you don't submit a result before the Timeout, the servers will assign the WU to someone else. You can still submit a result up until the Expiration and get points for it, but it will be duplicate work and not useful scientifically.
They had a PS3 client and the support was dropped it for it years ago. It would be good to utilize that wasted resource at a time like this.
This seems to indicate they are working on COvid19
​
Looks like administrator access is required — https://foldingathome.org/faqs/installation-problems/do-i-need-administrator-privileges-to-install-the-fah-client/
PortableApps is working with the developers to get a version that works without requiring installation. I’ll post here once it is released — I’m not sure if it will continue to require administrator access to function.
If people are feeling like they want to donate more than just CPU/GPU cycles, Folding@Home is taking donations to upgrade their server side hardware. See the bottom of this page for details: https://foldingathome.org/2020/03/15/coronavirus-what-were-doing-and-how-you-can-help-in-simple-terms/).
You can donate money directly here through Washington University's website if you don't feel like reading through the link above:
It is as many before said: They are currently out of WUs. I have never seen this happen during the years I've been folding. So this is a very good thing, they are working as fast as possible to give more WUs to us. The work is not done!
Read this, which is the latest post regarding this:
This is stated at the bottom of the post: "Usually, your computer will never be idle, but we’ve had such an enthusiastic response to our COVID-19 work that you will see some intermittent downtime as we sprint to setup more simulations. Please be patient with us! There is a lot of valuable science to be done, and we’re getting it running as quickly as we can."
According to the 4th paragraph of this post:
https://foldingathome.org/2020/02/27/foldinghome-takes-up-the-fight-against-covid-19-2019-ncov/
...the "Any" option helps with Coronavirus.
Same here, not really sure why but maybe this can give some insight:
"Coronavirus SARS-CoV-2 (COVID-19 causing virus) protease - potential drug target
These projects are part of Folding@home’s efforts to assist researchers around the world taking up the global fight against COVID-19. At the time of release, this is the latest news update: https://foldingathome.org/2020/03/10/covid19-update/
These projects are CPU projects to simulate the main protease of the COVID-19, a possible drug target. These supplement high-priority GPU projects of the main protease as well as the COVID-19 receptor binding domains. We hope to have preliminary drug screening simulations on CPUs released in the next week."
Do you have fahcontrol
installed? You should be able to add slot options to the GPU if the automatic settings aren't working for you. This is a log snippet from my rig, running an RX 580, in Windows 10 (bold emphasis mine).
00:00:41:WU01:FS01:Running FahCore: "C:\Program Files (x86)\FAHClient/FAHCoreWrapper.exe" C:\Users\vze33jng\AppData\Roaming\FAHClient\cores/cores.foldingathome.org/v7/win/64bit/amd/Core_21.fah/FahCore_21.exe -dir 01 -suffix 01 -version 705 -lifeline 12904 -checkpoint 15
-gpu-vendor amd -opencl-platform 0 -opencl-device 0 -gpu 0
I know you're not running Windows, but I think the part about the gpu, and opencl might interest you. You may find some way to configure these options in your client with the config.xml
, but not sure.
On your point about the drivers, see how the requirements page lists this in the AMD/ATI section:
​
>(GPU3 – OpenCL – FAHCore_21*)*
>
>OpenCL compatible GPU, 5xxx series or newer*, see full list
>
>15.1 AMD device driver or newer
​
And
​
>Folding on AMD GPUs is problematic in linux due to poor OpenCL driver support from AMD.
>
>Note: Installing OEM specific GPU drivers can be problematic in Linux. Please review the AMD GPU driver installation instructions for Linux. Please review the NVidia GPU driver installation instructions for Linux. See also this Folding Forum topic [link mine - vze33jng] for tips installing the drivers.
This is probably why my client is disabling OpenCL
You’ll need a supported GPU (most newer AMD and nVidia GPUs work) and the F@H client needs to be installed on Windows or Linux (GPU folding is not supported on the Mac)
Follow this guide: https://foldingathome.org/support/faq/installation-guides/windows/multi-client-installation-adding-slots-expert-users/
If you get stuck, feel free to reply with your issue!
As others have mentioned, GPUs are better than CPUs, but if you still want a decent mini PC, here are two good options:
$180: CHUWI LarkBox Pro Mini PC with 6GB RAM 128GB ROM Intel Celeron J4125 Quad Core (Up to 2.7GHz) Windows 10 Desktop Computer 4K Ultra-HD Streaming, 2xUSB 3.0 Dual Wi-Fi, BT5.1, VESA Mounting https://www.amazon.com/dp/B08KCZPQ3P/ref=cm_sw_r_cp_api_glt_fabc_A93R0ZEMG5PA3VQVV0TH?_encoding=UTF8&psc=1
$99: Lenovo ThinkCentre M73 Tiny Business Desktop Computer, Intel Core i3 4130T 2.9GHz, 4G DDR3, 500G, WiFi, USB 3.0, VGA, DisplayPort, Win 10 Pro 64-Bit Supports English/Spanish/French(I3)(Renewed) https://www.amazon.com/dp/B07V6ZNQZY/ref=cm_sw_r_cp_api_glt_fabc_25P98XACYC63HZFC063W?_encoding=UTF8&psc=1
I think performance wise they are similar, but the ThinkCenter is cheaper, but also used, uses more power, and is bigger.
If you just want to contribute for as cheap as possible, the Amazon Fire Stick Lite (sometimes on sale for $19-$25) is pretty amazing for BOINC in terms of performance/price, although it’s a bit of a pain to set up.
you also have dreamlab
​
but on another subjekt does anyone know if there is an android app to control fah on a pc? to be able to pause/start and view the progress from the phone?
https://play.google.com/store/apps/details?id=au.com.vodafone.dreamlabapp&hl=en_US
https://apps.apple.com/us/app/dreamlab-help-to-fight-cancer/id1273619275
If it's not showing up on the play store on your device, your model might be “old”. Unless you're running KitKat Android, you can install the latest compatible version from apks from reliable sites. I got some devices that are Marshmallow and earlier. They can still run most projects.
You can buy window fans like this to help exhaust the hot air. A portable AC system would work as well, but be much more expensive upfront and in energy costs.