CUDA Kernels
Understanding CUDA kernels and how to write efficient parallel code.
What is a CUDA Kernel?
A CUDA kernel is a function that runs on the GPU in parallel across many threads. Kernels are defined using the __global__ keyword and are launched using the <<<...>>> syntax.
Kernel Examples
Here are examples of different types of CUDA kernels:
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Kernel Launch Parameters
When launching a kernel, you specify:
- Number of blocks in the grid
- Number of threads per block
- Amount of shared memory (optional)
- CUDA stream (optional)
Kernel Optimization Tips
- Choose appropriate block sizes for your GPU
- Minimize divergent branching within warps
- Use shared memory for frequently accessed data
- Ensure coalesced memory access patterns
- Balance occupancy and resource usage