alt Hacker NewsSo what you actually need is a program that navigates through the huge image of the die and detects if the structure that is looking at is a 1 or a 0? This at the fundamental level is a cross between machine learning and image processing?
So what you actually need is a program that navigates through the huge image of the die and detects if the structure that is looking at is a 1 or a 0? This at the fundamental level is a cross between machine learning and image processing?
Yes, exactly. Historically you would make some simple image processing software that will align the grid and then look for properties at each specific bit position. Usually die shots are highly imperfect (the delayering usually leaves some artifacts or damage) so frequently merging multiple scans is important as well. Travis Goodspeed has a neat tool for this workflow at https://github.com/travisgoodspeed/maskromtool and the blog mentions John McMaster’s bitract: https://github.com/SiliconAnalysis/bitract although I think most people working on these projects usually just one-off it as the mentioned Discord users in the blog post eventually did.
More modern devices are of course more difficult due to layers, feature size, and less visually obvious ROM bit designs.
Anyway, the impressive part of this project was really understanding the undocumented microcode assembly language through inference and trace following; the 1s and 0s look like they were the easy part!