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Computer Architecture: Parallel Computing

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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

  • Instruction Parallelism: Learn about the different methods of processing instructions efficiently!
    • Article: Understanding The Instruction Cycle in a CPU
    • 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 55 ratings

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