Multicore Tolerancing

Both Monte Carlo and finite difference tolerancing automatically use available cores
Run-times have been reduced by 10X using a 16-core PC (~$5k for modern desktops)
Users report a 2-hour run was reduced to 10 minutes, and a 20 hour run is now 2 hours!
Some users have previously limited runs to 500 trials due to time, but can now run 1,000’s of trials in less time for more accuracy
No extra setup is required, and it works with current performance and compensation sequence files, as well as user-defined
Combined data results are saved to a file for further processing if desired

Easily evaluate multiple metrics (no need for ^imagqual index manipulation)
Customize the view to see each metric side-by-side, individually, or plotted on the same chart

Visualize tolerance drivers per surface via bar charts (TOR and finite difference)
Sort all tolerances to quickly see worst drivers
Eliminates need to search through text output, or copy/paste to Excel

Any long running script with independent loops (e.g. over field, zoom, or list of lenses) can take advantage of multiple cores
Special variables pass info to the custom macro on how many cores to use, and the current core #
The macro loops are modified to save data based on this info
We can help make these modifications on existing macros
The Extensions handle the distribution of the work, and collect all data when finished

Techniques have been developed to incorporate MATLAB in custom scripts
The basic procedure is the following,
- Call CODE V options to generate data
- Send this data to MATLAB
- Run a custom MATLAB script to process the data
- Send the MATLAB results back to CODE V
These steps are executed with each trial or loop iteration