CUDA quiz

Test your CUDA knowledge with a free interactive quiz — 20 questions with answers and explanations. No signup needed to play.

Why has CUDA become so central to the modern AI/deep learning boom?

1. Why has CUDA become so central to the modern AI/deep learning boom?
2. What is a CUDA "stream"?
3. What is a "warp" in NVIDIA GPU architecture?
4. Why are GPUs well-suited to the kind of workloads CUDA targets?
5. Why is CUDA proprietary to NVIDIA hardware, and what is the main cross-vendor alternative for GPU compute?
6. Why is minimizing host-device memory transfer often critical for CUDA performance?
7. What does cudaMemcpy typically do in a basic CUDA program?
8. What role does cuDNN play in the deep learning ecosystem built on CUDA?
9. Why do most deep learning practitioners rarely write raw CUDA kernels directly?
10. What is "warp divergence" and why does it hurt performance?
11. What is the CUDA thread hierarchy, from smallest to largest grouping?
12. What do the terms "host" and "device" refer to in CUDA terminology?

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