Practice Data Parallelism Vs. Task Parallelism (7.2.3) - Parallel Processing Architectures for AI

Practice: Data Parallelism vs. Task Parallelism

Lesson 7.2.3Parallel Processing Architectures for AI

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9 questions

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

Question 1.
What is data parallelism?
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Think about how tasks can be split between multiple processors.
Question 2.
What is task parallelism?
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Consider processors handling distinct functions in an AI system.
3Question 3.
What defines data parallelism?
- Different tasks are executed concurrently.
- The same operation is performed on different data subsets.
- Only one processor is used for all tasks.
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Focus on the operation and the data.
4Question 4.
Is task parallelism useful in AI applications?
- True
- False
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Think about the need for multiple functions in AI.
Question 5.
Design an AI system that utilizes both data and task parallelism. Describe its architecture and how the two types of parallelism would enhance performance.
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Think of how each part can contribute to maximizing computational resources.
Question 6.
Consider the limitations discussed in class regarding synchronization overhead in task-based systems. How might you mitigate these issues in a proposed system architecture?
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Focus on reducing the need for constant communication between processors.

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