Practice Overhead of Parallelization - 8.1.4.1 | Module 8: Introduction to Parallel Processing | Computer Architecture
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8.1.4.1 - Overhead of Parallelization

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is overhead in the context of parallel processing?

💡 Hint: Think about what extra efforts are needed beyond just the core computation.

Question 2

Easy

What does task decomposition refer to?

💡 Hint: Focus on how large tasks can be made manageable.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is overhead in parallel processing?

  • Extra resources required
  • Additional speed gained
  • Reduced CPU usage

💡 Hint: Think about what is beyond just computation.

Question 2

Amdahl's Law states that the maximum speedup is determined by:

  • The amount of parallel code
  • The sequential fraction of the code
  • Thread utilization

💡 Hint: Focus on what restricts speedup in parallelism.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a program that is 70% parallelizable. Calculate the maximum speedup possible if you can use an infinite number of processors.

💡 Hint: Remember to apply the formula correctly for infinite N.

Question 2

Devise a method to analyze the impact of overhead in a program that seems to slow down with increased threading.

💡 Hint: Focus on pinpointing specific tasks that increase the overhead.

Challenge and get performance evaluation