A high-throughput parser for the Zig programming language
a year ago
- #Performance
- #Zig
- #Tokenizer
- A high-throughput tokenizer and parser for the Zig programming language is being developed.
- Two tokenizer implementations are provided: one using bitstrings for skipping continuation-character matching and another using vector compression for simultaneous token extents.
- Performance improvements include 2.75x faster tokenization and 2.47x less memory usage compared to the mainline implementation.
- Optimization strategies include SIMD, SWAR, reducing unpredictable branches, and perfect hash functions.
- Memory consumption is reduced by storing token lengths instead of start indices and using fewer variables.
- Future plans include fixing the UTF-8 validator, implementing the AST parser, and integrating the repository with the Zig compiler.