Practice Parallel Processing And Multi-core Processing (8.4.2) - Optimization of AI Circuits

Practice: Parallel Processing and Multi-Core Processing

Lesson 8.4.2Optimization of AI Circuits

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9 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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6 sample questions

Question 1.
Define parallel processing.
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What does 'parallel' imply?
Question 2.
What is multi-core processing?
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Consider how many cores are in a processor.
3Question 3.
What does parallel processing do?
- A. Executes processes simultaneously
- B. Limits processes to one at a time
- C. Only works on single-core processors
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Focus on the meaning of 'parallel'.
4Question 4.
True or False: Multi-threading enables a single core to handle only one task at a time.
- True
- False
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Think of how threads operate.
Question 5.
Imagine a scenario where a machine is training an AI model with a dataset of one million images. Describe how parallel processing might be implemented to enhance training speed. Consider the specific roles of multi-core and distributed processing.
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Think about breaking tasks into smaller parts that can be handled at the same time.
Question 6.
Consider an AI application used in autonomous vehicles. Discuss the trade-offs involved in implementing multi-core versus distributed computing systems for processing sensor data.
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Consider the benefits of speed vs. scalability.

5 more questions in this section. Enroll free to practise them all.