ECTSAdvanced 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 Elective Courses 3 0 0 3 5
Pre-requisite Course(s)
Consent of instructor
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
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
Major Area Courses X
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 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyse and interpret data.
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains.
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems.
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea.

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