EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 10·5 min read
Profile-guided optimization in Go
✦ Why It Matters
Start using PGO in your Go applications to optimize performance based on real execution data.
Key Takeaways
- Implement PGO in your Go builds for better performance.
- Use runtime profiling to gather CPU data effectively.
- Expect modest speed gains, especially with specific document profiling.
- Monitor performance changes to ensure optimizations are beneficial.
How It Works
PGO works by collecting a CPU profile during program execution, which captures where the program spends its time. The Go runtime interrupts the program frequently to record the call stack, allowing the compiler to identify hot functions and optimize them, such as through inlining or devirtualizing interface calls.