Advanced Examples
Advanced examples for expert DotCompute development.
🚧 Documentation In Progress - Advanced examples collection is being developed.
Overview
These examples demonstrate expert-level concepts:
- Machine learning implementations
- Advanced optimization techniques
- Custom kernel patterns
- Multi-backend optimization
- Production deployment
- LINQ GPU computing
List of Advanced Examples
Machine Learning
TODO: Link to Machine Learning Guide
- Neural network training
- Inference pipelines
- Model optimization
- Distributed training
LINQ GPU Computing
TODO: Link to LINQ GPU Examples
- Query-based GPU computing
- Expression compilation
- Complex data processing
- Future GPU acceleration features
Performance Optimization
TODO: Link to Performance Optimization
- Kernel fusion techniques
- Advanced profiling
- Load distribution
- Occupancy optimization
Advanced GPU Patterns
TODO: Document advanced patterns:
- Persistent kernels
- Cooperative groups
- Atomic operations
- Custom reductions
Multi-Device Orchestration
TODO: Document advanced multi-GPU:
- Complex communication patterns
- Ring-based collectives
- Topology awareness
- Fault tolerance
Custom Backends
TODO: Document advanced backend:
- Custom accelerator support
- Hardware-specific optimization
- Plugin development
Prerequisites
Before advanced examples:
- Completion of Intermediate Examples
- Strong understanding of GPU programming
- Familiarity with parallel algorithms
Learning Path
Recommended learning order: