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 Computer Engineering 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
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 Comprehends the most advanced technology and literature in the field of software engineering research. X
2 Gains the ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area.
3 Conducts quantitative and qualitative studies in software engineering.
4 Develops and applies software engineering approaches to acquire the necessary skills to bridge the gap between academia and industry in the field of software engineering and to solve real-world problems. X
5 Gains the ability to access the necessary information to follow current developments in science and technology, and to conduct scientific research or develop projects in the field of software engineering.
6 Gains awareness and a sense of responsibility regarding professional, legal, ethical, and social issues in the field of software engineering. X
7 Acquires project and risk management skills; gains awareness of the importance of entrepreneurship, innovation, and sustainable development; adapts international excellence standards for software engineering practices and methodologies.
8 Gains awareness of the universal, environmental, social, and legal consequences of software engineering practices when making decisions.
9 Develops, adopts, and supports the sustainable use of excellence standards for software engineering practices.

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