JIT Compiling Code in 5μs
The author discusses how AI assistance has simplified the creation of high-performance Just-In-Time (JIT) compilers. By targeting assembly directly, developers can achieve compilation times as low as 5μs, enabling broader use in database query execution.
Why it matters
Faster JIT compilation can significantly improve software performance, particularly in database management and data parsing applications.
Historically, fast JIT compilation was a black art. To write a fast JIT compiler, you would need to know how to write assembly. Case in point: there is no production-ready database today that has its own JIT compiler. They all either use LLVM or generate C/C++ code. Both of these options suffer from high compile times, which limits their applicability. Now, with the use of AI, it’s easier than ever to write a JIT compiler with fast compile times by directly targeting assembly. This is also one area of opportunity for new databases to improve on old ones. When building pgrust , I initially thought it would be really hard to implement a JIT compiler. In the end, I found it much easier than I expected due to AI assistance and it ends up being part of the reason why pgrust is so fast.
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