improvement: Reduce Memory overhead of default appearance array #3882
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Type of change
Jira ticket 📘
https://cognitedata.atlassian.net/browse/
Description 📝
Today the default appearance array allocates an array of the size of the input texture. If we have over 8mill nodes this is about 67MB (4k x 4k x 4bytes) array allocated with the same 4 bytes repeated 16 million times.
We split it into multiple arrays to avoid memory waste, while also improving performance!
The PR is a bit WIP, as I need to test it a bit more. But currently this approach saves 10% time, and 95% memory on worst case performance (4k texture) compared to the old approach.
How has this been tested? 🔍
Test instructions ℹ️
Checklist ☑️