Computer Science

This project has created new computer science which create another era of computer science. Here are a few of the main insights:

• Good architecture reduces code size logarithmically. This is a major gain and a critical design goal (for this project). There is no reason to have 25M lines of code -- not for software not for hardware drivers. This has been asymtotically quantified to 100 log₂ non-architected_LOC; in other words, take the line count (LOC) of a machine language code-base, without subroutines, and plug it into the equation above and you'll have something of a factor of the ideal number of well-architected LOC.
• Kolmogorov quotient: programming language expressivity can be compared to get a measure of your computer language. This allows computer languages to get more refined.
• programming language theory: the minimal programming language is understood
• When your code-base is over a million LOC for hardware, then your hardware needs re-architected: note that I didn't start this list with good software architecture. The point is architecture and there's probably no upper bound. There are new ideas of geometric processing that allow better performance, for example.