Computer Architecture

Course
en
English
55 h
This content is rated 4.3 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 11 Sequences
  • Advanced Level

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Course details

Syllabus

  • Week 1 - Introduction, Instruction Set Architecture, and Microcode
    This lecture will give you a broad overview of the course, as well as the description of architecture, micro-architecture and instruction set architectures.
  • Week 1 - Pipelining Review
    This lecture covers the basic concept of pipeline and two different types of hazards.
  • Week 2 - Cache Review
    This lecture covers control hazards and the motivation for caches.
  • Week 2 - Superscalar 1
    This lecture covers cache characteristics and basic superscalar architecture.
  • Week 3 - Superscalar 2 & Exceptions
    This lecture covers the common issues for superscalar architecture.
  • Week 3 - Superscalar 3
    This lecture covers different kinds of architectures for out-of-order processors.
  • Week 4 - Superscalar 4
    This lecture covers the common methods used to improve the performance of out-of-order processors including register renaming and memory disambiguation.
  • Week 4 - VLIW 1
    This lecture covers the basic concept of very long instruction word (VLIW) processors.
  • Week 5 - VLIW2
    This lecture covers the common methods used to improve VLIW performance.
  • Week 5 - Branch Prediction
    This lecture covers the motivation and implementation of branch predictors.
  • Week 6 - Advanced Caches 1
    This lecture covers the advanced mechanisms used to improve cache performance.
  • Week 6 - Advanced Caches 2
    This lecture covers more advanced mechanisms used to improve cache performance.
  • Week 7 - Memory Protection
    This lecture covers memory management and protection.
  • Week 7 - Vector Processors and GPUs
    This lecture covers the vector processor and optimizations for vector processors.
  • Week 8 - Multithreading
    This lecture covers different types of multithreading.
  • Week 8 - Parallel Programming 1
    This lecture covers the concepts of parallelism, consistency models, and basic parallel programming techniques.
  • Week 9 - Parallel Programming 2
    This lecture covers the solutions for the consistency problem in parallel programming.
  • Week 9 - Small Multiprocessors
    This lecture covers the implementation of small multiprocessors.
  • Week 10 - Multiprocessor Interconnect 1
    This lecture covers the design of interconnects for a multiprocessor.
  • Week 10 - Multiprocessor Interconnect 2
    This lecture covers the design of interconnects for multiprocessor and network topology.
  • Week 11 - Large Multiprocessors (Directory Protocols)
    This lecture covers the motivation and implementation of directory protocol used for coherence on large multiproccesors.

Prerequisite

None.

Instructors

David Wentzlaff
Associate Professor
Electrical Engineering

Editor

Princeton University, also known as Princeton, is a private American university located in the town of Princeton, New Jersey, in the United States. Founded in 1746, it is the fourth oldest institution of higher education in the United States.

Ranked among the top universities in the world in most international rankings, it enjoys great prestige1. It is a member of the Ivy League, where it has a historic rivalry with Harvard University and Yale University2.

It has produced 65 Nobel Prize winners, 15 Fields Medals, 21 National Medals of Science, 11 National Humanities Medals, 3 US Presidents and 12 US Supreme Court Justices.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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