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A new approach

Hi guys, since this is my first post here I hope it'll match all criteria for this sub.

I would like to hear your opinion on an idea that could take Folding@home et al to a new level – if it works.

The idea is to use webworker in the browser for parallel calculations instead of annoying users with advertising. Advertising uses an incredible amount of energy that could be used for computing power instead.

If you now offer this as distributed computing, it would be 50% cheaper than Google or Amazon AWS could ever be, since you don't need any material costs and energy costs for server farms.

To do this, the user would simply visit a participating website as usual and agree via opt-in and cookie, calculating a few cycles instead of advertising. GPU and CPU, no software installation, just JavaScript webworker.

In relation to Reddit, for example, this is particularly interesting because the company has 3 billion visits per month, but as a platform it does not want to and cannot annoy users with too much advertising. Therefore, Reddit's sales are comparatively low and could be many times higher if they were instead included in the sales of distributed computing.

What do you think?

whats the difference between top team ranks on these 2 charts?

both show top team donors by rank but it doesn't match.

https://stats.foldingathome.org/

https://stats.foldingathome.org/team/226715

I remember reading years ago that FaH will slow down if you don't have a core for each GPU.

I'm planning to make something with 6 4070 supers and the LGA 1155 socket that all of the crypto miners seem to be using only supports quad core.

I recently created a folding at home account and am wondering how I earned 4 billion points. Also I for sure don't have 25000 work units

https://preview.redd.it/f5mpvgfpbisc1.png?width=1153&format=png&auto=webp&s=28279990bdcce2b2164785f6e678b374cde05873

I've been folding for 2/3 weeks now, but I feel like my laptop is way too slow for it to be useful. For example, in my laptop there's a GeForce MX110 GPU wich is slow: my current work unit is going to finish in 2 hours, but it lasted 1.2 days. Now, the Timeout for this WU is 05/apr at 01:30, (1.5 days since I asked for the WU to be sent) wich means that I'm sending the result before the Timeout, but still at a very slow pace.

Now I'm wondering, is my old laptop essentially a bottleneck for faster GPUs? Since a new generation of WU can be sent only if the old one is fully complete, it looks to me that I'm just making things slower for everyone else. Also on the FAQ I read "Turn in a work unit just before the deadline is not the goal. It is most helpful to the project to return work units as quickly as possible." wich kinda confirm what I think.

To be clear, all the WU I did were sent before the Timeout, just not as fast as i would like to (sometimes a few hourse before). I've tried F@H to contribute to AD reasearch (to wich I've set my preference), since there's none on BOINC, but haven't received any WU for it. So the question is: is it worth it? Am I a bottleneck to other folders?

They're filled with medical jargon and I hunt around for a word like Alzheimer's so I know what the computer is trying to treat.

I do not understand square one about medical science. Just glad to help.

I am not aware i set up my teams other than LTT, can someone explain?

https://preview.redd.it/2m56gplmi8pc1.png?width=1147&format=png&auto=webp&s=05f625a4570262d4db5ba85cd358995eee6e9714

I got the web client to work with 8.1.8, but when I click client settings it leads me to a new page that's just empty, is there a fix or is this a known problem? Photo attached is the "settings" page.

https://preview.redd.it/eez0s7onxulc1.png?width=2560&format=png&auto=webp&s=ca79af623151b04b65e3d57f51bc27311ba59625

Will 10 $30 smartphones be more impacting than 1 $300 tablet or Chromebook?

So in order to propel medical science along even faster, May I buy more burner phones and have then run DreamLab? How much of an impact will that make?

Thanks in advance.

I just built a new Linux machine. It runs Pop OS. My GPU is a Sapphire Nitro+ 7900 XTX. FAH appears to detect the GPU, but not OpenCL. FAH said that it wasn't detecting dynamic library libOpenCL.so.

OpenCL is installed, clinfo works in the terminal. When searching this issue, I've seen multiple people running into the same problem. The solution seemed to be running

sudo apt install ocl-icd-opencl-dev

and restarting the computer. I did that, but I now have a new problem, and I can't seem to find any info related to it online.

Instead of saying that it can't detect the dynamic library libOpenCL.so, FAH now says "OpenCL Not detected: clGetPlatformIDs() returned -1001".

I can't find anything at all for this new error. Has anyone else run into this? How did you get FAH to properly detect OpenCL?

Thanks!

Edit: I wanted to add that FAH does see my GPU, it's listed under the folding slots. But, it's marked as "Disabled".

I recently upgraded my pc with a ryzen 5 5500, it's not super powerful but it's enough for me. I've started using this folding software but I've noticed my processor maintains very high temperatures, averaging around 92° most of the time. I'm using the stock cooler so I don't expect perfect thermals, but this seems extremely high. Do I need a better cooler? Would undervolting make any significant difference?

Edit: is there any way to only run it on my GPU? My 4060 gets great temps

I'd like to put my Samsung Galaxy Watch 4's idle time to good use. What's the best way to utilize its idle processing power while it idles? I can't just let it sit overnight when it could provide its computing resources to a good cause. Thanks.

Hi, I just discovered this project and got it running last night when I couldn’t sleep. I’m just anonymous at the moment but would like to join a team. Is there any from my country?

I recently assembled a dedicated folding rig, equipped with a donor MSI Ventus 2060 6GB card and my old EVGA 3080Ti FTW3 card. It's an old 3930k C2 stepping processor, strapped to an Intel DX79Si motherboard, with eight sticks of DDR2/1600 CL8 in the native quad channel config. I have a pair of 1TB Sammy 850 Pro SATA drives, so I thought I'd do a bit of a comparison.

Drive 1: Ubuntu 22.04 LTS, running NVIDIA 525 drivers and all the requisite, supplementary OpenCL and CUDA packages to get F@H running. I'm running X Server so I can use the NVIDIA control panel along with NVIDIA-SMI for additional tuning (I'll get to that in a minute.)

Drive 2: Windows 11 23H2, running NVIDIA 551.23 drivers and MSI Afterburner 4.6.5 for additional tuning.

Under both operating systems, I've tuned both cards for undervolting at functionally stock speeds, which maintains standard performance with a remarkable power drop. In Windows I use Afterburner's curve editor, for Linux I force a specific clock offset in the NVIDIA control panel and then lock maximum clock speed via NVIDIA-SMI -i x -lgp 210,xxxx.

The cards are configured as such:

• MSI Ventus 2060: GPU set to 1800 MHz at 800mV (Linux clock offset +135)
• EVGA 3080Ti FTW3: GPU set to 1695MHz at 800mV (Linux clock offset +210)

I've let both operating systems run for exactly 168 hours each (seven days), doing nothing more than sitting in a corner and folding with a monitor attached. In the aggregate, the Linux machine did come ahead by about 1% (around ~750,000 points over the course of the week) which could easily be explained by a single WU that didn't finish.

On the contrary, Windows used around 3% less power (430Wh vs 445Wh average) as reported by my Sengled E1C-NB7 power monitoring wall-wart connected to my home automation system.

So, if you're building a folding rig, I'd simply focus on the OS you're most comfortable with. I'm keeping the Linux install, as I can't be bothered to spend the pittance of money for a Windows license.

hi guys, just wanted to get into folding and i want to get a folding rig with a p100 gpu and something like an e5 26xx v2. does anyone have a similar setup, and if so could you share tips?

edit: i mean gpu folding with xeon server to host

sorry for bad english

I had to rebuild a few Linux machines over the weekend and forgot to backup my config.xml files. I still have a Windows machine running FAH, but I can't find the config.xml on the device. Can someone point me in the right direction?

Has anyone noticed that the RTX 4080 Super is averaging fewer points per day than the RTX 4080? Same with the RTX 4070 Ti Super vs RTX 4070 Ti. Is there a known reason for this?

Random question. I know all the latest GPU silicon has AI enhancements. Is there anything going on with Gromacs to utilize this new functionality? Maybe while folding it monitors probabilities or processes some form of meta data to pass along with the results that allow it to become deeper in details. Just curious.

Some of you might have seen the massive spike in points over the last three days.

https://folding.extremeoverclocking.com/aggregate_summary.php?s=

The reason is a ne Crypto Team that crunched 19bn points in the last 24 hours (Solinscription CAREs). In my opinion it is even more incredible when we consider that we were at 21/22bn points at the beginning of this year, that means they almost doubled the output of the whole Project.

Mind.Blown.

Have been back at it for a few weeks now at 325-415k PPD and will continue to be a 'cold weather folder', only quitting for the season once my A/C comes on in the house. I like the idea of it complimenting my furnace, takes the edge off. I've always built with used, reasonably priced components and this is my most powerful rig ever with an AMD FX-8350 and an MSI Radeon RX 470.

I started with team NCIX many years ago and winning a GPU during one of their folding competitions hooked me. I enjoyed using folding as a stress test for my builds and enjoyed the friendly competitive nature in the forum. I've popped into a few other teams over the years but will continue to fold on team 37412, despite the team being 95% inactive these days, for nostalgia and because the bulk of my points are there.

I guess that would only get launched as soon as the effort against Alzheimer's gets concluded, right? Same for cancer?

Or could we get an anti-aging grid computing effort launched anytime? What obstacles would we need to remove first? What would we need to create first before that?

And is there an anti-aging grid computing effort already underway elsewhere, such as on BOINC and the WCG?

With the new quantum computers and AI out there has F@H met it's match? Will I still be contributing or basically burning money for no reason? Has it helped alzheimers any? My grandmother, father, and aunt have all had it. Only the aunt is still here and she's long gone mentally. I also know I'm at high risk for it. Just want to know if the contribution will actually be meaningful or a giant waist of money and electricity for nothing. I disabled my CPU but have my RTX 4090 going full bore.

Is this going to be normal now? -

`{"id": "00", "state": "RUNNING", "error": "NO_ERROR", "project": 12406, "run": 151, "clone": 2, "gen": 34, "core": "0xa8", "unit": "0x22000000020000009700000076300000", "percentdone": "5.48%", "eta": "2.75 days", "ppd": "58645", "creditestimate": "170369", "waitingon": "", "nextattempt": "0.00 secs", "timeremaining": "4.82 days", "totalframes": 100, "framesdone": 5, "assigned": "2024-01-24T10:22:51Z", "timeout": "2024-01-27T22:22:51Z", "deadline": "2024-01-29T10:22:51Z", "ws": "129.32.209.203", "cs": "129.32.209.207", "attempts": 0, "slot": "00", "tpf": "41 mins 50 secs", "basecredit": "150542"}`

This is a work Macbook on which I have permission to run folding@home but no permission to change the settings of the anti-virus, and since the anti-virus interferes with the Mac client, I'm running the Linux client in the `foldingathome/fah-gpu` Docker image on Rancher (work said I can do that). It's a 6-core machine with multithreading (so 12 virtual CPU cores) but no GPU (at least not one that folding@home can use). I do wonder if that work unit should have been sent to a GPU machine....

I'd really very much appreciate getting work units that take 8 to 10 hours max, not 3 days with the timeout not too long after. It kind-of interferes with the logistics of what I can and can't do with this laptop without ditching the work unit.

(And there's no way to tell the server if I cancel: it has to wait for the timeout before it will reassign, so that would be holding up the science, which I really don't want to do, so I'm going to inconvenience myself to get this one through, but I really rather avoid getting this kind of unit on a portable machine next time.)

Should I be more selective in the setting of which projects I'm participating in, if some projects have more "doable" units than others? (I want to make that setting on this one machine only, not my whole account, but I could take out a second account if needed.)

I suppose one approach would be to run several instances of the container, each limited to only a couple of CPU cores, in the hope that the assignment server responds to the low core count by giving smaller work units, but this doesn't seem optimal. I wonder what else I could do. It seems a pity just to say "don't contribute with that laptop then".

(Edit: typo fix)

Back in whatever year the MGS4 PS3 unit was sold, I bought a PS3 and would run folding@home on it whenever I wasn't home, thinking was helping to cure cancer. I stopped fold@home about 1 year later when my PS3 died. I have since then installed it on a surface 3 pro back in 2014 and stopped again when that device died around 2016.

I thought about it today thinking that it's been a while since I heard of this. I have family members that live with and have died of cancer, lupus, and MS and a few other things.

I am not one of those fair-weather people who only care about what is important to them. I actually don't really care at all. I am one of those "what happens, happens." types. On the same note I don't mind contributing to a cause that will help out our people as a whole.

Is it actually worth it, am i actually contributing anything to society by allowing both my electricity and effort in monitoring to help the folding@home cause? On top of that the fact that I don't really understand what folding@home does, is that a factor?

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TL;DR should I help, i have no idea what i am doing?

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Edited: 4th grade grammar

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