PROJECT #17709 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: 65,661
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Wednesday, 27 January 2021 18:04:31
|
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 | 6,134,816 | 158,510 | 38.70 | 1 hrs 37 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 4,324,967 | 138,228 | 31.29 | 1 hrs 46 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,264,381 | 140,134 | 30.43 | 1 hrs 47 mins |
| 4 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,159,076 | 120,675 | 26.18 | 1 hrs 55 mins |
| 5 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,017,782 | 125,388 | 24.07 | 1 hrs 60 mins |
| 6 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,919,310 | 123,598 | 23.62 | 1 hrs 1 mins |
| 7 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,549,515 | 118,277 | 21.56 | 1 hrs 7 mins |
| 8 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,376,262 | 116,110 | 20.47 | 1 hrs 10 mins |
| 9 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,163,779 | 112,034 | 19.31 | 1 hrs 15 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,149,117 | 109,615 | 19.61 | 1 hrs 13 mins |
| 11 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,806,861 | 105,895 | 17.06 | 1 hrs 24 mins |
| 12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,756,786 | 104,616 | 16.79 | 1 hrs 26 mins |
| 13 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,516,245 | 99,640 | 15.22 | 2 hrs 35 mins |
| 14 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,488,915 | 98,924 | 15.05 | 2 hrs 36 mins |
| 15 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,440,052 | 98,016 | 14.69 | 2 hrs 38 mins |
| 16 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,283,626 | 94,369 | 13.60 | 2 hrs 46 mins |
| 17 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,129,379 | 90,484 | 12.48 | 2 hrs 55 mins |
| 18 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,067,916 | 88,987 | 12.00 | 2 hrs 60 mins |
| 19 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,021,295 | 85,395 | 11.96 | 2 hrs 0 mins |
| 20 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 997,286 | 86,884 | 11.48 | 2 hrs 5 mins |
| 21 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 957,618 | 85,893 | 11.15 | 2 hrs 9 mins |
| 22 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 942,262 | 85,065 | 11.08 | 2 hrs 10 mins |
| 23 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 929,895 | 84,753 | 10.97 | 2 hrs 11 mins |
| 24 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 863,209 | 82,844 | 10.42 | 2 hrs 18 mins |
| 25 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 583,487 | 72,535 | 8.04 | 3 hrs 59 mins |
| 26 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 530,957 | 70,559 | 7.53 | 3 hrs 11 mins |
| 27 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 462,969 | 67,541 | 6.85 | 4 hrs 30 mins |
| 28 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 459,868 | 67,318 | 6.83 | 4 hrs 31 mins |
| 29 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 424,905 | 64,891 | 6.55 | 4 hrs 40 mins |
| 30 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 401,299 | 64,269 | 6.24 | 4 hrs 51 mins |
| 31 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 311,733 | 58,810 | 5.30 | 5 hrs 32 mins |
| 32 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 260,771 | 55,751 | 4.68 | 5 hrs 8 mins |
| 33 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 215,752 | 52,042 | 4.15 | 6 hrs 47 mins |
| 34 | Radeon R9 200/300 Series Tonga [Radeon R9 200/300 Series] |
AMD | Tonga | 181,578 | 49,299 | 3.68 | 7 hrs 31 mins |
| 35 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 134,576 | 44,712 | 3.01 | 8 hrs 58 mins |
| 36 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 130,440 | 44,178 | 2.95 | 8 hrs 8 mins |
| 37 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 120,724 | 43,051 | 2.80 | 9 hrs 34 mins |
| 38 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 116,195 | 42,623 | 2.73 | 9 hrs 48 mins |
| 39 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 98,313 | 40,272 | 2.44 | 10 hrs 50 mins |
| 40 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 78,127 | 37,230 | 2.10 | 11 hrs 26 mins |
| 41 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 54,731 | 33,175 | 1.65 | 15 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Wednesday, 27 January 2021 18:04:31
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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