PROJECT #17914 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: 93,414
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Sunday, 22 May 2022 15:22:31
|
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 | 8,525,501 | 360,297 | 23.66 | 1 hrs 1 mins |
| 2 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,318,150 | 343,227 | 21.32 | 1 hrs 8 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,017,833 | 338,668 | 20.72 | 1 hrs 9 mins |
| 4 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,494,580 | 291,965 | 15.39 | 2 hrs 34 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,321,464 | 286,711 | 15.07 | 2 hrs 36 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,028,075 | 263,353 | 15.30 | 2 hrs 34 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,777,232 | 257,129 | 14.69 | 2 hrs 38 mins |
| 8 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,158,606 | 259,915 | 12.15 | 2 hrs 58 mins |
| 9 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,107,997 | 257,538 | 12.07 | 2 hrs 59 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,081,634 | 227,570 | 9.15 | 3 hrs 37 mins |
| 11 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,072,794 | 225,263 | 9.20 | 3 hrs 36 mins |
| 12 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,002,312 | 220,185 | 9.09 | 3 hrs 38 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,803,993 | 212,359 | 8.50 | 3 hrs 50 mins |
| 14 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,529,445 | 206,755 | 7.40 | 3 hrs 15 mins |
| 15 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,423,409 | 200,781 | 7.09 | 3 hrs 23 mins |
| 16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,107,869 | 183,280 | 6.04 | 4 hrs 58 mins |
| 17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,099,061 | 181,581 | 6.05 | 4 hrs 58 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 918,570 | 120,743 | 7.61 | 3 hrs 9 mins |
| 19 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 913,741 | 171,320 | 5.33 | 4 hrs 30 mins |
| 20 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 910,424 | 171,866 | 5.30 | 5 hrs 32 mins |
| 21 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 585,827 | 147,723 | 3.97 | 6 hrs 3 mins |
| 22 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 258,912 | 112,820 | 2.29 | 10 hrs 27 mins |
| 23 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 203,701 | 104,085 | 1.96 | 12 hrs 16 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Sunday, 22 May 2022 15:22:31
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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