EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 25·5 min read
Replacing a Rust Enum with a 64-bit Word Made My Interpreter 17% Faster
TL;DR
Replacing a Rust tagged enum with a 64-bit word in the Plush language interpreter resulted in a 17% performance increase. This optimization is part of ongoing efforts to enhance the interpreter's speed for real-time 3D animation rendering.
✦ Why It Matters
Consider evaluating your use of enums in performance-critical code to identify potential optimizations.
Key Takeaways
- Explore low-bit tagging to optimize memory usage in interpreters.
- Consider the trade-offs between memory efficiency and performance.
- Utilize bitwise operations for faster value comparisons.
- Benchmark your optimizations to quantify performance improvements.
How It Works
The new low-bit tagging scheme encodes different value types within a 64-bit word, using the lowest bits for tagging. This allows integers and pointers to be stored efficiently while enabling fast comparisons.
The scheme also incorporates a self-tagging method for floating-point values, which maintains precision and avoids heap allocation for most cases.