EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 23·5 min read
JIT Compiling Code in 5μs
TL;DR
A new JIT compiler for the pgrust database achieves impressive compile times of around 5μs, enabling efficient execution of SQL queries. This advancement, aided by AI, simplifies the traditionally complex process of JIT compilation.
✦ Why It Matters
Consider exploring AI tools to streamline your own JIT compiler development for faster database performance.
Key Takeaways
- Explore AI tools to simplify assembly code generation.
- Implement JIT compilation for faster SQL query execution.
- Consider building a regular expression engine as a JIT example.
- Benchmark performance against handwritten code for optimization.
How It Works
The JIT compiler uses a 'copy-and-patch' approach, where templates called 'stencils' are modified to generate assembly code for specific operations. This allows for efficient runtime code generation tailored to the needs of the regular expression engine.