OpenCL Backend Development
Guide for developing and optimizing kernels for the OpenCL backend supporting NVIDIA, AMD, Intel, ARM Mali, and Qualcomm Adreno GPUs.
🚧 Documentation In Progress - OpenCL development guide is being developed.
Overview
OpenCL backend supports:
- NVIDIA GPUs (CUDA Compute Capability 5.0+)
- AMD GPUs (GCN and RDNA architectures)
- Intel Arc and Data Center GPUs
- ARM Mali GPUs (mobile)
- Qualcomm Adreno GPUs (mobile)
OpenCL Kernel Language
Kernel Syntax
TODO: Document OpenCL C kernel syntax
Data Types
TODO: Explain OpenCL data types and qualifiers
Built-in Functions
TODO: Document OpenCL built-in functions
Optimization for Different Architectures
NVIDIA GPU Optimization
TODO: Cover NVIDIA-specific optimization:
- Warp programming
- Shared memory usage
- Memory coalescing
AMD GPU Optimization
TODO: Document AMD GPU optimization:
- Wave programming
- LDS optimization
- GCN instruction set
Mobile GPU Optimization
TODO: Explain mobile GPU optimization:
- Mali optimization
- Adreno-specific patterns
- Power efficiency
Memory Management
Global Memory
TODO: Document global memory access patterns
Local Memory
TODO: Explain local memory optimization
Private Memory
TODO: Cover private memory usage
Synchronization
Work Group Synchronization
TODO: Document barrier operations
Global Synchronization
TODO: Explain global synchronization patterns
Performance Tuning
Work Group Size Selection
TODO: Document work group sizing
Occupancy Analysis
TODO: Explain occupancy for OpenCL
Debugging
OpenCL Debugging Tools
TODO: List debugging tools and techniques
Examples
TODO: Provide OpenCL kernel examples