PROJECT #17621 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

The previous FEC work unit test was completed successfully so now we're running larger "full size" WUs that are more scientifically useful for studying protein mutations with Free Energy Calculations.

As before, the approach and technology are similar to the Moonshot, but these set of projects instead are studying protein mutations and are much larger (since proteins are also much larger) In this case we are trying out multiple mutations and their impact upon a protein-protein of a dimerization complex (RIPK2), the most complex case.

PROJECT INFO

Manager(s): Sukrit Singh

Institution: Memorial Sloan-Kettering Cancer-Center

Project URL: http://sukritsingh.github.io/

PROJECT WORK UNIT SUMMARY

Atoms: 329,840

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Sunday, 02 October 2022 12:16:33

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	7,468,415	1,912,379	3.91	6 ^hrs 9 ^mins
2	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	6,150,535	1,728,217	3.56	7 ^hrs 45 ^mins
3	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,246,758	1,577,843	2.69	9 ^hrs 55 ^mins
4	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	3,525,886	1,484,442	2.38	10 ^hrs 6 ^mins
5	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	2,918,028	1,483,923	1.97	12 ^hrs 12 ^mins
6	Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]	AMD	Navi 21	2,788,699	1,334,212	2.09	11 ^hrs 29 ^mins
7	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	2,774,822	1,547,019	1.79	13 ^hrs 23 ^mins
8	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,654,277	1,633,643	1.01	24 ^hrs 42 ^mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA