PROJECT #17780 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Molecular basis of secondary active transporters. Secondary active membrane transporters are proteins that utilize ions to transport an assortment of molecules across cell membranes.
These proteins are found in all domains in life and surprisingly, despite vastly different structures, operate under the same mechanism by using an ion gradient to assist in small molecule transport.
Furthermore, many of these secondary active transporters are drug targets to treat diseases like cancer, diabetes, and neurological disorders.
The simulations in this project will allow us to understand a universal role of ion-coupling across different families of proteins.
PROJECT INFO
Manager(s): Matthew Chan
Institution: University of Illinois Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 92,160
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:31
|
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 | 7,570,352 | 154,714 | 48.93 | 0 hrs 29 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,942,448 | 154,831 | 44.84 | 1 hrs 32 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,580,262 | 142,248 | 39.23 | 1 hrs 37 mins |
| 4 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,741,237 | 135,058 | 35.11 | 1 hrs 41 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,544,784 | 133,271 | 34.10 | 1 hrs 42 mins |
| 6 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,209,613 | 131,283 | 32.07 | 1 hrs 45 mins |
| 7 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,380,799 | 121,302 | 27.87 | 1 hrs 52 mins |
| 8 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,538,121 | 110,624 | 22.94 | 1 hrs 3 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,194,738 | 105,399 | 20.82 | 1 hrs 9 mins |
| 10 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,107,249 | 103,233 | 20.41 | 1 hrs 11 mins |
| 11 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 1,676,381 | 95,710 | 17.52 | 1 hrs 22 mins |
| 12 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,387,201 | 89,911 | 15.43 | 2 hrs 33 mins |
| 13 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,355,072 | 89,385 | 15.16 | 2 hrs 35 mins |
| 14 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,244,712 | 86,438 | 14.40 | 2 hrs 40 mins |
| 15 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,144,906 | 84,328 | 13.58 | 2 hrs 46 mins |
| 16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,136,026 | 84,787 | 13.40 | 2 hrs 47 mins |
| 17 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 552,217 | 65,919 | 8.38 | 3 hrs 52 mins |
| 18 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 523,153 | 65,188 | 8.03 | 3 hrs 59 mins |
| 19 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 415,449 | 58,001 | 7.16 | 3 hrs 21 mins |
| 20 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 349,278 | 57,195 | 6.11 | 4 hrs 56 mins |
| 21 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 300,172 | 54,241 | 5.53 | 4 hrs 20 mins |
| 22 | Radeon RX 460 Baffin XT [Radeon RX 460] |
AMD | Baffin XT | 136,188 | 41,589 | 3.27 | 7 hrs 20 mins |
| 23 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 99,453 | 37,686 | 2.64 | 9 hrs 6 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:31
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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