What are the main differences between OpenMP and CUDA?
OpenMP is a shared memory parallel programming model, while CUDA is designed for NVIDIA GPUs and uses a different memory model.
When should I use OpenMP instead of CUDA?
Use OpenMP for CPU-based parallelism when you want to leverage multi-core processors, especially for existing C/C++ code.
Can you give me an example of a task suited for CUDA?
CUDA is ideal for tasks like deep learning, image processing, and simulations that can benefit from GPU acceleration.
What are the performance considerations for both?
CUDA generally offers better performance for data-parallel tasks on large datasets, while OpenMP is easier to implement for CPU-bound tasks.
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