Implementing Custom Backends
Learn how to implement custom compute backends for DotCompute to support additional hardware platforms.
🚧 Documentation In Progress - Custom backend implementation guide is being developed.
Overview
DotCompute's extensible backend architecture allows implementing support for:
- Custom GPU architectures
- Specialized accelerators (TPU, NPU, FPGA)
- Custom CPU implementations
- Hybrid computing platforms
Backend Architecture
Backend Interfaces
TODO: Document required backend interfaces:
- IAccelerator interface
- IKernelCompiler interface
- Memory management
Backend Lifecycle
TODO: Explain backend initialization and cleanup
Implementing a Custom Backend
Step 1: Interface Implementation
TODO: Document interface implementation requirements
Step 2: Memory Management
TODO: Explain memory allocation and transfer
Step 3: Kernel Compilation
TODO: Cover kernel compilation implementation
Step 4: Execution
TODO: Document kernel execution
Integration
Registering Backend
TODO: Explain backend registration process
Dependency Injection
TODO: Document DI integration
Testing
Backend Testing
TODO: Provide testing patterns for backends
Validation
TODO: Document cross-backend validation
Performance Considerations
TODO: List performance optimization tips for backends
Examples
TODO: Provide example backend implementations