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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is multi-objective optimization?
π‘ Hint: Think about why designers might need to choose between these factors.
Question 2
Easy
Why is design size a challenge?
π‘ Hint: Consider how many parts are involved in a large design.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main concern with multi-objective optimization?
π‘ Hint: Consider the different factors that need to be optimized.
Question 2
True or False: Larger designs always achieve timing closure.
π‘ Hint: Think about the implications of size on performance.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Devise a comprehensive strategy to ensure timing closure on a multi-objective optimized design. Explain your logic.
π‘ Hint: Consider iterative methods and testing approaches.
Question 2
Discuss the impact of variations in manufacturing on power and performance, providing specific examples from real-world chips.
π‘ Hint: Reflect on notable examples of chips that experienced yield issues.
Challenge and get performance evaluation