Performance benchmarking suite #2
Description
Create systematic performance benchmarks for different hardware and configurations
Objective
Establish standardized performance metrics and benchmarking procedures for the NMF Sound Localizer toolkit.
Components to Benchmark
- Data processing pipeline (transfer function estimation)
- USM training performance
- NMF localization speed and accuracy
- Memory usage patterns
- GPU vs CPU performance comparison
Hardware Configurations
- CPU-only benchmarks
- CUDA GPU benchmarks
- Apple Silicon (MPS) benchmarks
- Different RAM configurations
Metrics to Track
- Processing time per sample
- Training convergence speed
- Memory peak usage
- Accuracy vs speed tradeoffs
- Scalability with data size
Deliverables
- Benchmark suite implementation
- Performance baseline documentation
- CI integration for performance regression detection
- Hardware recommendation guidelines