Computer Architecture: Parallel Computing

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.

• 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