RESEARCH: CORE22-BENCHMARKING
FOLDING PROJECT #17107 PROFILE
PROJECT TEAM
Manager(s): Dr. John ChoderaInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 50,000Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project has short tasks designed to test how well core22 software works on different computer hardware. The goal is to find any problems and make core22 even better on all types of computers.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
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.
RELATED TERMS GLOSSARY AI BETA
benchmarking
The process of testing and evaluating the performance of a system or application.
Benchmarking involves running tests on hardware or software to measure its speed, efficiency, and other key performance indicators. This helps identify strengths and weaknesses, allowing for improvements and comparisons with other systems.
RTX 2080
A high-end graphics processing unit manufactured by Nvidia.
The RTX 2080 is a powerful GPU known for its ability to handle demanding gaming and professional workloads. It features advanced technologies like ray tracing and DLSS, enhancing visual fidelity and performance.
core22
A specific software component or module.
Core22 refers to a particular piece of software within a larger system. Its purpose and functionalities depend on the specific context. Further information about its role and implementation would be needed for a more detailed explanation.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:41:51|
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
Data as of Sunday, 26 April 2026 00:41:51|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|