PROJECT #17759 RESEARCH FOR PARKINSONS
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
The 17000-17710 project series contains simulations of the serotonin transporter, the protein responsible for terminating neurotransmission in neurons.
The neurotransmitter serotonin regulates various functions in the body such as mood, behavior, appettite, and sleep, and is a major drug targets for antidepressants.
Malfunctions in the serotonin transporter have been assoicated with mental disorders including depression and Parkinson's.
Our goal in performing these simulations is to understand how mutations affect the structure and dynamics of the serotonin transporter and provide insights to treat psychatric disorders assoicated with these mutations..
PROJECT INFO
Manager(s): Matthew Chan
Institution: University of Illinois at Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 65,672
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:31
|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,233,878 | 150,930 | 41.30 | 1 hrs 35 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,064,348 | 150,510 | 40.29 | 1 hrs 36 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,288,614 | 143,980 | 36.73 | 1 hrs 39 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,269,456 | 145,197 | 36.29 | 1 hrs 40 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,205,079 | 135,748 | 30.98 | 1 hrs 46 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,866,433 | 129,614 | 29.83 | 1 hrs 48 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,854,578 | 130,852 | 29.46 | 1 hrs 49 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,810,332 | 130,197 | 29.27 | 1 hrs 49 mins |
| 9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,590,066 | 127,220 | 28.22 | 1 hrs 51 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,136,251 | 122,483 | 25.61 | 1 hrs 56 mins |
| 11 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,482,483 | 109,373 | 22.70 | 1 hrs 3 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,372,105 | 111,634 | 21.25 | 1 hrs 8 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,330,951 | 110,612 | 21.07 | 1 hrs 8 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,306,598 | 109,946 | 20.98 | 1 hrs 9 mins |
| 15 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,285,589 | 111,105 | 20.57 | 1 hrs 10 mins |
| 16 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,946,438 | 104,741 | 18.58 | 1 hrs 17 mins |
| 17 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,944,865 | 104,689 | 18.58 | 1 hrs 18 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,787,628 | 101,305 | 17.65 | 1 hrs 22 mins |
| 19 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,786,806 | 99,072 | 18.04 | 1 hrs 20 mins |
| 20 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,688,059 | 99,957 | 16.89 | 1 hrs 25 mins |
| 21 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,680,008 | 98,569 | 17.04 | 1 hrs 24 mins |
| 22 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 1,647,943 | 100,119 | 16.46 | 1 hrs 27 mins |
| 23 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,565,992 | 97,078 | 16.13 | 1 hrs 29 mins |
| 24 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,303,022 | 91,380 | 14.26 | 2 hrs 41 mins |
| 25 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,281,804 | 91,232 | 14.05 | 2 hrs 42 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,150,188 | 87,615 | 13.13 | 2 hrs 50 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,052,964 | 84,865 | 12.41 | 2 hrs 56 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,018,514 | 82,678 | 12.32 | 2 hrs 57 mins |
| 29 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 835,700 | 78,102 | 10.70 | 2 hrs 15 mins |
| 30 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 674,131 | 73,661 | 9.15 | 3 hrs 37 mins |
| 31 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 576,462 | 69,571 | 8.29 | 3 hrs 54 mins |
| 32 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 477,109 | 65,366 | 7.30 | 3 hrs 17 mins |
| 33 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 470,047 | 64,719 | 7.26 | 3 hrs 18 mins |
| 34 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 328,956 | 55,262 | 5.95 | 4 hrs 2 mins |
| 35 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 268,646 | 53,218 | 5.05 | 5 hrs 45 mins |
| 36 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 212,123 | 50,134 | 4.23 | 6 hrs 40 mins |
| 37 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 128,377 | 42,495 | 3.02 | 8 hrs 57 mins |
| 38 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 108,575 | 40,206 | 2.70 | 9 hrs 53 mins |
| 39 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 80,122 | 36,241 | 2.21 | 11 hrs 51 mins |
| 40 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 75,914 | 34,690 | 2.19 | 11 hrs 58 mins |
| 41 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 72,848 | 34,897 | 2.09 | 11 hrs 30 mins |
| 42 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 51,298 | 31,033 | 1.65 | 15 hrs 31 mins |
| 43 | GeForce GT 710 GK208B [GeForce GT 710] 366 |
Nvidia | GK208B | 10,629 | 20,000 | 0.53 | 45 hrs 10 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:31
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
Legal Information: This sites use is for entertainment purposes only and comes with no guarantees or warranties in its use or related to any data displayed, collected or calcuated. This site is not affilated with folding@home or any folding team or GPU / CPU company in any official capacity and is an enthusiast creation in support of folding@home and the users / teams folding data for the greater good.
Please Note: By using this site, and / or our chrome extension you understand that you may be periodically providing information such as your IP, stats regarding use of our site, and folding@home GPU / CPU model, Work Unit ID and PPD estimate data when using our Chrome extention to the site developer for site optimization and PPD related data displayed on the site.
IF YOU DO NOT WISH TO CONTRIBUTE DATA TO THE PPD DATABASE PLEASE UNINSTALL OUR PLUGIN/TOOLS AND DISCONTINUE USE OF THIS SITE IMMEDIATELY.