PROJECT #17107 RESEARCH FOR BENCHMARK
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
This project contains a variety of benchmarking systems (with adjusted numbers of steps per system to give equal time/WU on an RTX 2080) to test and benchmark core22.
These WUs are very short and just used to detect issues with various hardware to ensure we can continue to improve core22 on all hardware..
PROJECT INFO
Manager(s): Dr. John Chodera
Institution: Memorial Sloan Kettering Cancer Center
Project URL: http://choderalab.org
PROJECT WORK UNIT SUMMARY
Atoms: 50,000
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 23 May 2022 03:34:44
|
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 | 5,742,304 | 19,939 | 287.99 | 0 hrs 5 mins |
| 2 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,467,147 | 16,052 | 215.99 | 0 hrs 7 mins |
| 3 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,717,569 | 15,727 | 172.80 | 0 hrs 8 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 23 May 2022 03:34:44
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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