Memory Management in CUDA
Learn about different types of memory in CUDA and how to manage them effectively.
Memory Hierarchy
CUDA provides several types of memory with different characteristics:
- Global Memory: Largest but highest latency, accessible by all threads
- Shared Memory: Low latency, shared within thread blocks
- Local Memory: Private to each thread
- Constant Memory: Read-only, cached for fast access
- Texture Memory: Cached, optimized for 2D spatial locality
Memory Management Example
Here's an example that demonstrates basic memory management in CUDA:
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Best Practices
- Minimize data transfers between host and device
- Use pinned memory for faster host-device transfers
- Utilize shared memory for frequently accessed data
- Ensure proper alignment for coalesced memory access
- Free allocated memory to prevent memory leaks