Free
CourseComputer Architecture: Parallel Computing
Learn how to process instructions efficiently and explore how to achieve higher data throughput with data-level parallelism.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourPrerequisites
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 quizzesCertificate of completion available with Plus or Pro
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Related resources
- Article
Understanding The Instruction Cycle in a CPU
Learn how the CPU processes instructions through the instruction cycle, including fetching, decoding, execution, memory access, and write-back. - Article
CPU vs GPU: What’s the Difference and Which One Should You Use?
Discover the key difference between CPU and GPU. Learn how each works, when to use them, and how they compare in performance, architecture, and real-world applications. - Article
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