BloomTech’s Downfall: A Long Time Coming

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Computer Architecture: Parallel Computing

via Codecademy

Go to class Write review

Overview

Learn how to process instructions efficiently and explore how to achieve higher data throughput with data-level parallelism.
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.



### Notes on Prerequisites
We recommend that you complete [Computer Architecture: Cache Memory](https://www.codecademy.com/learn/computer-architecture-cache-memory) before completing this course.

Syllabus

  • Instruction Parallelism: Learn about the different methods of processing instructions efficiently!
    • Article: The Instruction Cycle
    • Lesson: Instruction Pipelining
    • Article: Hazards of Instruction Pipelining
    • Article: Superscalar Architecture
    • Quiz: Instruction Parallelism
    • Article: Instruction Parallelism Problem Set
  • Data-Level Parallelism: Explore different approaches to achieve higher data throughput with data-level parallelism.
    • Lesson: Data-Level Parallelism
    • Quiz: Data-Level Parallelism
    • Article: Data-Level Parallelism Problem Set
    • Informational: Next Steps

Reviews

4.3 rating at Codecademy based on 12 ratings

Start your review of Computer Architecture: Parallel Computing

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.