Practice Instruction-level Parallelism (ilp) Saturation (8.1.1.2) - Introduction to Parallel Processing
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Instruction-Level Parallelism (ILP) Saturation

Practice - Instruction-Level Parallelism (ILP) Saturation

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

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

Challenge 2 Hard

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.

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Reference links

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