PROJECT #14936 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Class F Receptors Class F Receptors are involved in the control of cell differentiation.
Over-activation of these proteins has links to Basal Cell Carcinoma and Medulloblastoma.
Through simulations we aim to understand the activation mechanisms of these proteins, giving us a way to probe into the pathogenesis of the disease.
PROJECT INFO
Manager(s): Prateek Bansal
Institution: University of Illinois Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 105,048
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:36
|
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 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,618,070 | 145,193 | 52.47 | 0 hrs 27 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,898,048 | 137,037 | 50.34 | 0 hrs 29 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,858,207 | 139,687 | 49.10 | 0 hrs 29 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,656,207 | 131,720 | 42.94 | 1 hrs 34 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,968,035 | 125,736 | 39.51 | 1 hrs 36 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,818,850 | 124,627 | 38.67 | 1 hrs 37 mins |
| 7 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,681,511 | 123,678 | 37.85 | 1 hrs 38 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,644,608 | 122,416 | 37.94 | 1 hrs 38 mins |
| 9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,338,998 | 120,527 | 36.00 | 1 hrs 40 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,969,998 | 116,296 | 34.14 | 1 hrs 42 mins |
| 11 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,464,993 | 112,561 | 30.78 | 1 hrs 47 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,315,144 | 110,045 | 30.13 | 1 hrs 48 mins |
| 13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,113,484 | 108,203 | 28.77 | 1 hrs 50 mins |
| 14 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,981,442 | 106,896 | 27.89 | 1 hrs 52 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,969,163 | 107,640 | 27.58 | 1 hrs 52 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 2,835,349 | 90,431 | 31.35 | 1 hrs 46 mins |
| 17 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,815,448 | 104,276 | 27.00 | 1 hrs 53 mins |
| 18 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,454,900 | 100,186 | 24.50 | 1 hrs 59 mins |
| 19 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 2,373,653 | 99,957 | 23.75 | 1 hrs 1 mins |
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,311,916 | 97,961 | 23.60 | 1 hrs 1 mins |
| 21 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,143,835 | 95,325 | 22.49 | 1 hrs 4 mins |
| 22 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,003,523 | 91,036 | 22.01 | 1 hrs 5 mins |
| 23 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,825,865 | 89,849 | 20.32 | 1 hrs 11 mins |
| 24 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,781,218 | 90,464 | 19.69 | 1 hrs 13 mins |
| 25 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,489,596 | 84,479 | 17.63 | 1 hrs 22 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,378,686 | 82,293 | 16.75 | 1 hrs 26 mins |
| 27 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,322,617 | 80,093 | 16.51 | 1 hrs 27 mins |
| 28 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,228,613 | 80,188 | 15.32 | 2 hrs 34 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,193,339 | 78,593 | 15.18 | 2 hrs 35 mins |
| 30 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,188,442 | 78,207 | 15.20 | 2 hrs 35 mins |
| 31 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,134,825 | 76,257 | 14.88 | 2 hrs 37 mins |
| 32 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,028,082 | 74,964 | 13.71 | 2 hrs 45 mins |
| 33 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 994,701 | 73,735 | 13.49 | 2 hrs 47 mins |
| 34 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 852,968 | 69,836 | 12.21 | 2 hrs 58 mins |
| 35 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 826,683 | 70,400 | 11.74 | 2 hrs 3 mins |
| 36 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 650,102 | 63,601 | 10.22 | 2 hrs 21 mins |
| 37 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 569,842 | 61,362 | 9.29 | 3 hrs 35 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 568,282 | 61,598 | 9.23 | 3 hrs 36 mins |
| 39 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 363,690 | 53,086 | 6.85 | 4 hrs 30 mins |
| 40 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 356,825 | 52,916 | 6.74 | 4 hrs 34 mins |
| 41 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 323,644 | 51,000 | 6.35 | 4 hrs 47 mins |
| 42 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 316,479 | 50,620 | 6.25 | 4 hrs 50 mins |
| 43 | T600 TU117GL [T600] |
Intel | TU117GL | 291,793 | 49,555 | 5.89 | 4 hrs 5 mins |
| 44 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 229,883 | 44,711 | 5.14 | 5 hrs 40 mins |
| 45 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 199,616 | 42,989 | 4.64 | 5 hrs 10 mins |
| 46 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 134,052 | 38,227 | 3.51 | 7 hrs 51 mins |
| 47 | Tesla M4 GM206GL [Tesla M4] 2195 |
Nvidia | GM206GL | 121,004 | 37,099 | 3.26 | 7 hrs 21 mins |
| 48 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 112,658 | 36,249 | 3.11 | 8 hrs 43 mins |
| 49 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 107,645 | 35,340 | 3.05 | 8 hrs 53 mins |
| 50 | GeForce GTX 950M GM107 [GeForce GTX 950M] 1439 |
Nvidia | GM107 | 101,005 | 34,768 | 2.91 | 8 hrs 16 mins |
| 51 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 95,989 | 34,167 | 2.81 | 9 hrs 33 mins |
| 52 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 70,093 | 30,507 | 2.30 | 10 hrs 27 mins |
| 53 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 51,447 | 27,670 | 1.86 | 13 hrs 54 mins |
| 54 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 49,058 | 27,200 | 1.80 | 13 hrs 18 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:36
|
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.