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Codecademy

Computer Architecture: Parallel Computing

via Codecademy

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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

Taught by

Kenny Lin

Reviews

4.4 rating at Codecademy based on 13 ratings

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