Practice Vector, SIMD, GPUs - 10 | 10. Vector, SIMD, GPUs | Computer Architecture
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does SIMD stand for?

💡 Hint: Remember that it involves using one instruction on multiple data points.

Question 2

Easy

What is the main advantage of vector processing?

💡 Hint: Think of efficiency!

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 purpose of SIMD?

  • To execute one instruction on one data point
  • To execute one instruction on multiple data points
  • To execute multiple instructions simultaneously

💡 Hint: Think about how efficiently it handles multiple pieces of data.

Question 2

True or False: GPUs are optimized for single-threaded performance.

  • True
  • False

💡 Hint: Consider how GPUs manage many tasks simultaneously.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a deep learning model training with a GPU. Explain the benefits of using SIMD for this process and the potential bottlenecks that could arise.

💡 Hint: Think about both sides of the equation: advantages and challenges.

Question 2

You are tasked with optimizing a code section that processes an array of numbers. Describe how you would go about vectorization and any potential issues you might encounter.

💡 Hint: Consider the layout of your data and dependencies between operations.

Challenge and get performance evaluation