Practice Techniques For Optimizing Efficiency In Ai Circuits (8.3)

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8 questions

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4 cards from this section. Quick, good the night before a test.
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6 questions · about 4 min · pass mark 70%. Hints available.
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2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does GPU stand for?
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Think about hardware used for graphics.
Question 2.
What is data parallelism?
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Consider how tasks are divided among cores.
3Question 3.
What is a TPU optimized for?
- A) Graphics processing
- B) Tensor processing
- C) General computing
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Remember the connection with Google.
4Question 4.
True or False: Model parallelism allows a single device to handle all computations for a large model.
- True
- False
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Think about resource allocation.
Question 5.
Analyze a scenario where using ASICs could improve efficiency in a smart home device for personal assistance.
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Consider the specific tasks that the device must handle.
Question 6.
Devise a plan for implementing data and model parallelism in a large-scale deep learning project. Outline potential challenges and solutions.
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Think about how to balance workload among resources.

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