Practice Vectorization and Compiler Optimization - 10.6 | 10. Vector, SIMD, GPUs | Computer Architecture
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Vectorization and Compiler Optimization

10.6 - Vectorization and Compiler Optimization

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define vectorization in your own words.

💡 Hint: Think about how data processing can be accelerated.

Question 2 Easy

What are loop dependencies?

💡 Hint: Consider what would happen if the output of one loop iteration was needed in another.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is vectorization primarily used for?

Processing single data points
Enhancing performance by processing multiple data points
Simply speeding up graphics

💡 Hint: Think about how speed improves when handling data in bulk.

Question 2

True or False: Compiler vectorization is always performed.

True
False

💡 Hint: Consider what might prevent a compiler from optimizing automatically.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a C++ function that performs an addition on an array of integers, first written in scalar form and then optimized using manual vectorization. Discuss the performance implications.

💡 Hint: Look up SIMD intrinsics for specific platforms to implement the manual vectorization.

Challenge 2 Hard

Analyze a provided loop’s code for loop dependencies that prevent vectorization. Suggest modifications for optimization.

💡 Hint: Consider loop unrolling or redesigning data flow.

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Reference links

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