Free
CourseComputer Architecture: Parallel Computing
Learn how to process instructions efficiently and explore how to achieve higher data throughput with data-level parallelism.
Skill level
BeginnerTime to complete
Approx. 2 hoursCertificate of completion
Included with paid plansPrerequisites
1 courseWe suggest you complete the following courses before you get started with Computer Architecture: Parallel Computing:- Computer Architecture: Cache Memory
About this course
Continue your Computer Architecture learning journey with Computer Architecture: Parallel Computing. Learn about superscalar processors and how they are used to improve the processing of instructions. Then dive into the topic of data-parallelism where you will explore vector processing, SIMD extension, and GPUs.
Syllabus
2 lessons • 2 quizzesThe platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Unlock additional features with a paid plan
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.
Join over 50 million learners and start Computer Architecture: Parallel Computing today!
Start