Folding@home Passes 1.5 ExaFLOPS in compute performance
Folding@home sends word that its computing capacity accumulated by its users exceeded 1.5 EXAFLOPS or 1,500,000,000.00,000,000 floating point calculations per second. To make that a bit more understandable, you could imagine 112,000 RTX 2080 Ti cards simultaneously.
The Folding@Home team has not been sitting still, the project is nearly exploding and just before the weekend reached 470 petaflops in computing power. Previously Folding@home had 30K volunteers, who together accounted for roughly 100 petaflops of computing power on average. So that means the project is now surpassing the most powerful supercomputers in the world in terms of compute performance.
To achieve this, Folding@Home users accumulated 4.63 million CPU cores and almost 430 thousand GPUs, the majority Nvidia. Considering the nature of distributed computing, not all CPUs and GPUs are online at all times, so the performance of Folding @ Home projects varies depending on hardware availability.
Active Folding @ home CPUs and GPUs | ||||||||
AMD GPUs | NVIDIA GPUs | CPUs | CPU cores | TFLOPS | x86 TFLOPS | |||
Windows | 75,823 | 314,952 | 474,277 | 3,588,315 | 680,371 | 1,384,998 | ||
Linux | 3,675 | 41,113 | 78,124 | 811,997 | 85,028 | 167,152 | ||
macOS | - | - | 41,582 | 230,198 | 2,578 | 2,578 | ||
Total | 79,498 | 356,065 | 593,983 | 4,630,510 | 767,977 | 1,554,728 | ||
Note: | CPUs and GPUs that have returned data to units of work in the last fifty days are considered active. |
While not all workloads can be assigned to COVID-19, currently most computing power is used for the coronavirus project.An important part of the research is simulating proteins, for which GPUs are ideal. The whole decentralized system is used to make a protein that will function as an antibody, able to fight the virus. The first protein that will help fight against Covid-19 has already been simulated. Let's hope that will help out the science and health communities.
If you join in, it might take a while before a workload is assigned to you, just be patient. One note COVID-19 projects prefer fast GPUs. You can easily join up by downloading the client, which is easy to download and install. You do not need to utilize your PC or components 100%, but can choose light, medium and full settings, also in idle or always at work. If you like to donate GPU/CPU cycles, download the client, insert your nickname and if you want to Guru3D Team number: 69411 (or join any other team you prefer of course). You can also join anonymously.
Folding@home reaches 470 petaflops in computing power primarily simulating COVID-19 proteins - 03/23/2020 10:01 AM
A week and a half ago I wrote a little piece about the Folding@Home project. I am happy to report that many gurus have joined the team and that we're moving 24 Million points per day at the moment, h...
Folding@home: Put your CPU and GPU in use against the Corona COVID-19 virus - 03/15/2020 02:03 PM
For over I think 14 years now, Guru3D has been taking part in the folding@home project, currently the team most resources are utilized to fight the COVID-19 virus. If you like to donate some CPU or GP...
Folding@Home App For Chrome - 02/25/2014 01:00 AM
People running Chrome browser usually brag about speed and simplicity. Now, they have another reason to brag about, helping scientists fight diseases, such as cancer, by donating their unused CPU Cycl...
Guru3D Folding@home team passes one billion points ! - 04/12/2013 04:41 PM
Fantastic news today for Team Guru3D, we are a significant team within the folding @home program. The guys settled themselves ranking in the top 50 at position 48. We are advancing with 1 million poin...
Folding@Home GPU3 Core Supports GeForce 400 Series - 05/27/2010 06:09 AM
To all Team Guru3D folders hail ! Now if you are in luck have a GeForce GTX series 400 card and want to fold for our team .. I heard that the computation power of the GPU is doing miracles for Folding...
Senior Member
Posts: 5872
Joined: 2004-01-28
That's really amazing. But unfortunately it did nothing to stop idiots from hoarding toilet paper.
Member
Posts: 22
Joined: 2017-03-02
326 458 points so far, using Ryzen 7 and RTX 2080, when i realized CPUs aren“t that good i switched it off and compute only with GPU.
What i lack is some kind of comparsion. Like 100 000 points = GFLOPS or 100 000 = 0,0001 seconds of XYZ supercomputer working.
Member
Posts: 6743
Joined: 2008-03-06
Also getting far more points from my RX 580 as from the 3700X. Will see, for the moment both stay lined up for WUs.
Member
Posts: 6073
Joined: 2011-01-02
Give me cloud computing that fix idiots!

Member
Posts: 51
Joined: 2016-01-27
I would say this is really poor wording lol