Practice Cuda (compute Unified Device Architecture) (10.4.4)

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9 questions

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6 sample questions

Question 1.
What does CUDA stand for?
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Think about what the acronym suggests about parallel computing.
Question 2.
Name one programming language used with CUDA.
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Consider the languages you may have learned in programming class.
3Question 3.
What is CUDA primarily used for?
- Single-thread performance
- Graphical user interfaces
- Parallel computing
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Think about what CUDA allows developers to do with GPUs.
4Question 4.
True or False: The CPU executes the same task as the GPU in CUDA.
- True
- False
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Consider how tasks are allocated between processors.
Question 5.
Discuss how you would optimize a CUDA program for a machine learning application. What strategies would you employ?
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Consider the memory bandwidth and execution configurations that might affect performance.
Question 6.
Design a simple CUDA kernel to add two arrays. Describe how you would handle data allocation and launch the kernel.
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Think about how threads can be mapped to array indices.

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