PROJECT #14935 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: 105,385
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Sunday, 22 May 2022 15:22:36
|
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 | 7,251,972 | 139,965 | 51.81 | 0 hrs 28 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,969,150 | 134,068 | 51.98 | 0 hrs 28 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,664,416 | 133,331 | 49.98 | 0 hrs 29 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,827,244 | 129,417 | 45.03 | 1 hrs 32 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,637,443 | 120,492 | 38.49 | 1 hrs 37 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,258,136 | 116,851 | 36.44 | 1 hrs 40 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,961,025 | 114,338 | 34.64 | 1 hrs 42 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,811,691 | 109,134 | 34.93 | 1 hrs 41 mins |
| 9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,757,657 | 113,078 | 33.23 | 1 hrs 43 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,331,796 | 107,975 | 30.86 | 1 hrs 47 mins |
| 11 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,480,383 | 97,607 | 25.41 | 1 hrs 57 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,420,675 | 97,296 | 24.88 | 1 hrs 58 mins |
| 13 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,363,877 | 89,453 | 26.43 | 1 hrs 54 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,269,840 | 95,171 | 23.85 | 1 hrs 0 mins |
| 15 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,134,381 | 93,346 | 22.87 | 1 hrs 3 mins |
| 16 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,121,486 | 84,404 | 25.13 | 1 hrs 57 mins |
| 17 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,022,654 | 91,024 | 22.22 | 1 hrs 5 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,921,047 | 90,401 | 21.25 | 1 hrs 8 mins |
| 19 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,848,409 | 88,869 | 20.80 | 1 hrs 9 mins |
| 20 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,637,992 | 85,308 | 19.20 | 1 hrs 15 mins |
| 21 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,441,844 | 82,318 | 17.52 | 1 hrs 22 mins |
| 22 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,409,852 | 81,035 | 17.40 | 1 hrs 23 mins |
| 23 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,406,563 | 81,357 | 17.29 | 1 hrs 23 mins |
| 24 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,306,136 | 78,073 | 16.73 | 1 hrs 26 mins |
| 25 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,289,979 | 78,453 | 16.44 | 1 hrs 28 mins |
| 26 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,220,980 | 77,447 | 15.77 | 2 hrs 31 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,013,432 | 73,139 | 13.86 | 2 hrs 44 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 913,106 | 65,915 | 13.85 | 2 hrs 44 mins |
| 29 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 795,830 | 67,240 | 11.84 | 2 hrs 2 mins |
| 30 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 684,446 | 64,382 | 10.63 | 2 hrs 15 mins |
| 31 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 551,678 | 58,411 | 9.44 | 3 hrs 32 mins |
| 32 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 489,396 | 57,073 | 8.57 | 3 hrs 48 mins |
| 33 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 465,273 | 56,091 | 8.29 | 3 hrs 54 mins |
| 34 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 331,061 | 50,318 | 6.58 | 4 hrs 39 mins |
| 35 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 313,148 | 48,128 | 6.51 | 4 hrs 41 mins |
| 36 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 309,721 | 49,115 | 6.31 | 4 hrs 48 mins |
| 37 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 191,775 | 42,059 | 4.56 | 5 hrs 16 mins |
| 38 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 112,066 | 34,869 | 3.21 | 7 hrs 28 mins |
| 39 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 96,187 | 33,175 | 2.90 | 8 hrs 17 mins |
| 40 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 67,493 | 29,736 | 2.27 | 11 hrs 34 mins |
| 41 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 50,766 | 26,888 | 1.89 | 13 hrs 43 mins |
| 42 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 30,103 | 22,720 | 1.32 | 18 hrs 7 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Sunday, 22 May 2022 15:22:36
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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