PROJECT #17785 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 at Urbana-Champaign

PROJECT WORK UNIT SUMMARY

Atoms: 90,906

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Sunday, 02 October 2022 12:16:31

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 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,340,282 152,944 47.99 1 hrs 30 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,988,898 149,883 46.63 1 hrs 31 mins
3 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,328,391 146,491 43.20 1 hrs 33 mins
4 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,611,667 133,439 34.56 1 hrs 42 mins
5 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,330,692 130,322 33.23 1 hrs 43 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,328,143 130,256 33.23 1 hrs 43 mins
7 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,280,781 129,840 32.97 1 hrs 44 mins
8 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 4,163,385 127,626 32.62 1 hrs 44 mins
9 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,713,648 124,648 29.79 1 hrs 48 mins
10 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,567,024 109,930 23.35 1 hrs 2 mins
11 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,003,544 101,439 19.75 1 hrs 13 mins
12 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,201,173 84,805 14.16 2 hrs 42 mins
13 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,128,146 80,937 13.94 2 hrs 43 mins
14 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,004,227 80,485 12.48 2 hrs 55 mins
15 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 770,439 73,301 10.51 2 hrs 17 mins
16 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 555,923 65,730 8.46 3 hrs 50 mins
17 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 310,915 54,562 5.70 4 hrs 13 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Sunday, 02 October 2022 12:16:31

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make