PROJECT #17915 RESEARCH FOR PARKINSONS
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
These projects 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 Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 107,425
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Tuesday, 07 February 2023 06:14:51
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 | 8,188,684 | 422,705 | 19.37 | 1 hrs 14 mins |
2 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,385,663 | 409,442 | 18.04 | 1 hrs 20 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,059,577 | 402,577 | 17.54 | 1 hrs 22 mins |
4 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,564,721 | 347,282 | 13.14 | 2 hrs 50 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,515,431 | 345,345 | 13.08 | 2 hrs 50 mins |
6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,512,963 | 347,086 | 13.00 | 2 hrs 51 mins |
7 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,359,657 | 343,199 | 12.70 | 2 hrs 53 mins |
8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,056,214 | 334,096 | 12.14 | 2 hrs 59 mins |
9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,045,998 | 333,524 | 12.13 | 2 hrs 59 mins |
10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,323,692 | 314,083 | 10.58 | 2 hrs 16 mins |
11 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,570,320 | 280,712 | 9.16 | 3 hrs 37 mins |
12 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,427,414 | 282,976 | 8.58 | 3 hrs 48 mins |
13 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,049,236 | 268,895 | 7.62 | 3 hrs 9 mins |
14 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,030,846 | 268,822 | 7.55 | 3 hrs 11 mins |
15 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,966,188 | 263,627 | 7.46 | 3 hrs 13 mins |
16 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,363,254 | 240,586 | 5.67 | 4 hrs 14 mins |
17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,052,867 | 217,423 | 4.84 | 5 hrs 57 mins |
18 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,037,395 | 215,471 | 4.81 | 5 hrs 59 mins |
19 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,030,119 | 212,341 | 4.85 | 5 hrs 57 mins |
20 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 709,963 | 110,727 | 6.41 | 4 hrs 45 mins |
21 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 612,654 | 179,778 | 3.41 | 7 hrs 3 mins |
22 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 549,356 | 173,160 | 3.17 | 8 hrs 34 mins |
23 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 474,149 | 166,791 | 2.84 | 8 hrs 27 mins |
24 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 303,781 | 153,943 | 1.97 | 12 hrs 10 mins |
25 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 47,489 | 79,305 | 0.60 | 40 hrs 5 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Tuesday, 07 February 2023 06:14:51
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|