ECTS - Advanced Computer Architecture

Advanced Computer Architecture (CMPE532) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Advanced Computer Architecture CMPE532 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce the advanced concepts of computer architecture.
Course Learning Outcomes The students who succeeded in this course;
  • Describe the fundamental techniques on high-performance computing
  • Evaluate different memory handling mechanism
  • Review the state of the art of computer architecture and microprocessors
  • Comprehend the impact of different instruction set architectures on design decisions
Course Content Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction and overview Chapter 1 & 2 (Course Book)
2 Cost and Performance of Computers Chapter 1 & 2 (Course Book)
3 Performance Summary and Benchmarks Chapter 3 (Course Book) and Source #1
4 Instruction Set Architecture Chapter 3 (Course Book) and Source #1
5 Introduction to Pipelining Chapter 3 (Course Book) and Source #1
6 Pipeline Hazards Chapter 4 (Course Book) and Source #2
7 Control Hazards and Exception Handling Chapter 4 (Course Book) and Source #2
8 Pipeline Implementation Challenges Chapter 5 (Course Book) and Source #3
9 Instruction Level Parallelism Chapter 5 (Course Book) and Source #3
10 Dynamic Pipeline Scheduling Chapter 5 (Course Book)
11 Tomasulo’s Dynamic Instruction Scheduling Algorithm Chapter 5 (Course Book)
12 ILP with Multiple Instruction Issue Chapter 6 (Course Book)
13 Memory Hierarchy and Basics of Cache Chapter 6 (Course Book)
14 Optimizing Cache Performance Chapter 6 (Course Book)
15 Review
16 Review

Sources

Course Book 1. Computer Architecture: A Quantitative Approach, 5th Edition John L. Hennessy and David A. Patterson Morgan Kaufmann Publishers, ISBN 978-0-12-383872-8
Other Sources 2. William Stallings, “Computer Organization and Architecture: Designing for Performance”, 7/E, Prentice Hall, 2010, ISBN-10: 0135064171, ISBN-13: 9780135064177
3. David A. Patterson , John L. Hennessy, Computer organization and design (2nd ed.): the hardware/software interface, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1998
4. Tanenbaum, Structured Computer Organization, 5/E, Prentice Hall, 2006, ISBN-10: 0131485210, ISBN-13: 9780131485211
5. Douglas E. Comer, Essentials of Computer Architecture: International Edition, Pearson Higher Education, 2005, ISBN-10: 0131964267, ISBN-13: 9780131964266

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 1 20
Presentation 1 20
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 4 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration 1 5 5
Project
Report
Homework Assignments 1 5 5
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 126