EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·12d ago·5 min read
Dirty Optimization Secrets (C for Playdate)
TL;DR
Advanced optimization techniques for a Game Boy emulator on the Playdate reveal that reducing code size can significantly enhance performance, even with more CPU operations.
✦ Why It Matters
Consider reducing your code size to improve performance in memory-constrained environments like the Playdate.
Key Takeaways
- Optimize code size to fit within small instruction caches.
- Remove large switch tables to simplify code structure.
- Use compiler flags like -Os for size optimization.
- Focus on register operations to enhance execution speed.
Full Summary
While developing a Game Boy emulator for the Playdate, unique optimization strategies were identified that leverage the Playdate's fast CPU and slow memory access. The Playdate's small instruction cache, only 4 kilobytes in Rev A, necessitates that core code fits within this limit for optimal performance.
By compressing a 20 kilobyte emulator core down to just 2 kilobytes through the removal of a large switch table and simplifying the code structure, performance improved dramatically. This approach maintained identical functionality while significantly speeding up execution.
The findings suggest that for applications like emulators or 3D renderers, focusing on code size can yield better performance than merely optimizing for fewer CPU operations.