Performance Optimization
Best practices and techniques for optimizing compute performance with DotCompute.
🚧 Documentation In Progress - Performance optimization examples are being developed.
Overview
Key optimization areas:
- Kernel optimization and tuning
- Memory access patterns
- Register and shared memory usage
- Work distribution and load balancing
- Profiling and benchmarking
Profiling and Benchmarking
Using BenchmarkDotNet
TODO: Provide benchmarking setup examples
Hardware Profiling
TODO: Document GPU profiling tools:
- NVIDIA Nsight
- AMD Rocprof
- Performance metrics
Memory Optimization
Global Memory Coalescing
TODO: Explain memory coalescing patterns
Shared Memory Usage
TODO: Document shared memory optimization
Memory Transfer Optimization
TODO: Cover host-device transfer optimization
Kernel Optimization
Register Pressure
TODO: Document register pressure reduction
Occupancy Analysis
TODO: Explain occupancy calculations
Warp Efficiency
TODO: Cover warp-level optimization
Algorithmic Optimization
Kernel Fusion
TODO: Explain kernel fusion benefits
Load Distribution
TODO: Document load balancing strategies
Adaptive Backend Selection
TODO: Explain ML-based backend optimization
Common Pitfalls
TODO: List common performance issues
Examples
TODO: Provide optimization examples