EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 28·5 min read
How I made Rustdoc 33% faster in one week
TL;DR
Recent improvements to Rustdoc have achieved a 25% average reduction in processing time, translating to a 33% speedup, with some cases showing up to 60% faster performance. These enhancements were made in response to a regression issue identified during testing.
✦ Why It Matters
Review your Rustdoc usage to leverage these performance improvements in your projects today.
Key Takeaways
- Profile your code to identify performance bottlenecks.
- Consider filtering data before processing to save time.
- Test thoroughly after making optimizations to ensure correctness.
- Stay open to questioning existing code assumptions for potential improvements.
How It Works
The key improvement involved changing the order of operations in Rustdoc's processing of trait implementations. By filtering unnecessary implementations before invoking the build process, the team reduced the complexity and runtime of the documentation generation.
This approach allowed Rustdoc to skip processing for irrelevant data, significantly speeding up the overall performance.