PROJECT #14932 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 have 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: 105,129
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Tuesday, 07 February 2023 06:14:56
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 | 7,588,742 | 143,996 | 52.70 | 0 hrs 27 mins |
2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,928,571 | 137,765 | 50.29 | 0 hrs 29 mins |
3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,164,143 | 131,381 | 46.92 | 0 hrs 31 mins |
4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,831,365 | 133,814 | 43.58 | 0 hrs 33 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,086,506 | 126,889 | 40.09 | 0 hrs 36 mins |
6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,624,895 | 122,468 | 37.76 | 0 hrs 38 mins |
7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,580,401 | 122,734 | 37.32 | 0 hrs 39 mins |
8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,512,553 | 122,677 | 36.78 | 0 hrs 39 mins |
9 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,491,302 | 122,079 | 36.79 | 0 hrs 39 mins |
10 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,177,421 | 120,030 | 34.80 | 0 hrs 41 mins |
11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,961,178 | 116,864 | 33.90 | 0 hrs 42 mins |
12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,207,614 | 108,763 | 29.49 | 0 hrs 49 mins |
13 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,955,053 | 103,742 | 28.48 | 0 hrs 51 mins |
14 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,630,269 | 102,659 | 25.62 | 0 hrs 56 mins |
15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,310,848 | 98,300 | 23.51 | 1 hrs 1 mins |
16 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,205,788 | 94,833 | 23.26 | 1 hrs 2 mins |
17 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,133,136 | 95,136 | 22.42 | 1 hrs 4 mins |
18 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,091,295 | 93,007 | 22.49 | 1 hrs 4 mins |
19 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,085,360 | 95,319 | 21.88 | 1 hrs 6 mins |
20 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,021,064 | 93,809 | 21.54 | 1 hrs 7 mins |
21 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,448,406 | 84,648 | 17.11 | 1 hrs 24 mins |
22 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,367,249 | 82,389 | 16.60 | 1 hrs 27 mins |
23 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,308,036 | 81,730 | 16.00 | 1 hrs 30 mins |
24 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,148,637 | 77,573 | 14.81 | 2 hrs 37 mins |
25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,108,121 | 77,003 | 14.39 | 2 hrs 40 mins |
26 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,046,244 | 74,201 | 14.10 | 2 hrs 42 mins |
27 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,009,930 | 74,243 | 13.60 | 2 hrs 46 mins |
28 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 721,323 | 65,660 | 10.99 | 2 hrs 11 mins |
29 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 586,048 | 62,846 | 9.33 | 3 hrs 34 mins |
30 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 573,187 | 61,821 | 9.27 | 3 hrs 35 mins |
31 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 561,219 | 60,958 | 9.21 | 3 hrs 36 mins |
32 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 470,080 | 57,759 | 8.14 | 3 hrs 57 mins |
33 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 418,153 | 54,022 | 7.74 | 3 hrs 6 mins |
34 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 325,028 | 51,443 | 6.32 | 4 hrs 48 mins |
35 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 309,196 | 50,376 | 6.14 | 4 hrs 55 mins |
36 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 301,637 | 50,062 | 6.03 | 4 hrs 59 mins |
37 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 226,949 | 45,249 | 5.02 | 5 hrs 47 mins |
38 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 146,194 | 39,158 | 3.73 | 6 hrs 26 mins |
39 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 125,340 | 37,364 | 3.35 | 7 hrs 9 mins |
40 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 98,619 | 34,528 | 2.86 | 8 hrs 24 mins |
41 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 68,000 | 30,496 | 2.23 | 11 hrs 46 mins |
42 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 50,936 | 27,725 | 1.84 | 13 hrs 4 mins |
43 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 43,041 | 22,243 | 1.94 | 12 hrs 24 mins |
44 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 15,400 | 16,800 | 0.92 | 26 hrs 11 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Tuesday, 07 February 2023 06:14:56
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|