Practice Vector, SIMD, GPUs - 10 | 10. Vector, SIMD, GPUs | Computer Architecture
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does SIMD stand for?

πŸ’‘ Hint: Remember that it involves using one instruction on multiple data points.

Question 2

Easy

What is the main advantage of vector processing?

πŸ’‘ 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

πŸ’‘ 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

πŸ’‘ 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.

πŸ’‘ 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.

πŸ’‘ Hint: Consider the layout of your data and dependencies between operations.

Challenge and get performance evaluation