Practice Instruction-Level Parallelism (ILP) Saturation - 8.1.1.2 | Module 8: Introduction to Parallel Processing | Computer Architecture
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8.1.1.2 - Instruction-Level Parallelism (ILP) Saturation

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does ILP stand for?

💡 Hint: Think about what this term refers to in computing.

Question 2

Easy

What is meant by 'memory wall'?

💡 Hint: Consider how memory access times impact CPU performance.

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 the main challenge posed by ILP saturation?

  • Increased clock speed
  • Diminished returns in increasing parallel execution
  • Simplified control logic

💡 Hint: Think about how optimal performance can plateau with too much complexity.

Question 2

Is the following statement true or false? 'Dependencies in instruction execution do not affect parallelism.'

  • True
  • False

💡 Hint: Consider how dependencies create waiting conditions.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Critically assess how increasing ILP through deeper pipelines impacts energy efficiency.

💡 Hint: Consider how energy costs relate to performance in a compute cycle.

Question 2

Evaluate the strategies to mitigate the effects of the memory wall in high-performance computing.

💡 Hint: Think about how reducing wait times impacts overall throughput.

Challenge and get performance evaluation