Practice Introduction To Parallel Processing Architectures For Ai (7.1)

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9 questions

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6 sample questions

Question 1.
What does SIMD stand for?
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Think about how many instructions are processed at once.
Question 2.
Why is parallel processing important for AI?
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Consider the large volumes of data in AI.
3Question 3.
What architecture applies the same instruction to multiple data?
- MIMD
- SIMD
- CPU
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It involves processing many data points simultaneously.
4Question 4.
True or False: Parallel processing is not essential for AI.
- True
- False
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Consider the complexity of AI tasks.
Question 5.
Design a parallel processing architecture for a new AI-based image recognition system. Identify challenges and how you'll overcome them.
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Consider real-world systems and their demands.
Question 6.
Evaluate the trade-offs between using GPUs and TPUs for deep learning tasks in terms of cost, efficiency, and scalability.
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Think about performance vs. resource requirements.

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