Information Package / Course Catalogue
| Computer Engineering | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | COMP 472 | ||||
| Course Title in English | Parallel and Distributed Systems | ||||
| Course Title in Turkish | Paralel ve Dağıtık Sistemler | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 130 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | Introduction to Programming (basic C and Python), Basic understanding of Computer Architecture. | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Senior Undergraduate Students/Junior Graduate Students | ||||
| Overall Educational Objective | To learn about the fundamentals of parallel and distributed systems, data processing and storage technologies. | ||||
| Course Description | This is an introductory course for parallel and distributed systems. Fundamental concepts such as parallel computing platforms, parallel programming models and parallel algorithm design, , performance of parallel programs and basics of communication on distributed systems and the basics of GPU programming will be discussed. | ||||
| Course Description in Turkish | Bu ders paralel ve dağıtılmış sistemlere giriş dersidir. Paralel hesaplama platformları, paralel programlama modelleri ve paralel algoritma tasarımı gibi temel kavramlar, paralel programların performansı ve dağıtık sistemlerde iletişimin temelleri ve GPU programlamanın temelleri tartışılacaktır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) know the fundamentals of parallel architectures and parallel programming paradigms 2) design and implement parallel algorithms 3) design and implement the communication concepts on distributed systems 4) know how to optimize the performance of parallel algorithms on different computing platforms |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ||||
| 2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ||||
| 3) An ability to communicate effectively with a range of audiences | ||||
| 4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ||||
| 5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ||||
| 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ||||
| 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | H | Exam,HW |
| 2) | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | H | Exam,HW |
| 3) | An ability to communicate effectively with a range of audiences | N | |
| 4) | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | N | |
| 5) | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | H | Project |
| 6) | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | N | |
| 7) | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. | N |
| Prepared by and Date | BUSE YILMAZ , February 2024 |
| Course Coordinator | BUSE YILMAZ |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. BUSE YILMAZ |
Course Contents
| Week | Subject |
| 1) | Introduction to Distributed and Parallel Systems |
| 2) | Parallel hardware and software |
| 3) | Principles of parallel algorithm design |
| 4) | Programming on shared memory systems with PThreads |
| 5) | Programming on shared memory systems with PThreads cont'd |
| 6) | Programming on shared memory systems with OpenMP |
| 7) | Programming on shared memory systems with OpenMP cont'd |
| 8) | Data dependency & Task parallelism |
| 9) | Distributed memory Programming with MPI /midterm #1 |
| 10) | Distributed memory Programming with MPI cont'd |
| 11) | Analysis of parallel program executions |
| 12) | Parallel algorithms |
| 13) | GPU Programming with CUDA |
| 14) | GPU Programming with CUDA cont'd |
| 15) | Final Exam/Project/Presentation |
| 16) | Final Exam/Project/Presentation |
| Required/Recommended Readings | Peter Pacheco, Matthew Malensek - An Introduction to Parallel Programming (2nd Ed) – Elsevier, Paperback ISBN: 9780128046050, eBook ISBN: 9780128046180 Recommended: Ananth Grama, Anshul Gupta, George Karypis, Vipin Kumar - Introduction to Parallel Computing (2nd Ed), Addison-Wesley, ISBN: 978-0201648652 | ||||||||||||||||||
| Teaching Methods | Lectures/contact hours using ‘flipped classroom’ | ||||||||||||||||||
| Homework and Projects | Homeworks (mini-projects), quizzes, inclass teamwork assignments | ||||||||||||||||||
| Laboratory Work | none | ||||||||||||||||||
| Computer Use | Required | ||||||||||||||||||
| Other Activities | paper presentation | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
yilmazbuse@mef.edu.tr 0212 395 3719 Instructor’s contact: - Office: 5th Floor, Room 556 - Phone number: 0212 395 3719 - Email address: yilmazbuse@mef.edu.tr Rules for attendance: Not enforced Rules for late submissions: Late submissions are allowed only for homeworks. First day 10 points, second day 20 and third day 30 points. After 3 days the submission will receive a zero. Rules for missing an exam: Provided that proper documents are presented, each missed midterm by the student will be given the grade of other assessments about the related topics. No make-up exam shall be given. A reminder of proper classroom behavior, code of student conduct: YÖK regulations. Statement on plagiarism: Plagiarism or any type of ethical misconduct shall not be tolerated. For more information, please see the corresponding YÖK regulations. |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 2.5 | 63 | |||
| Presentations / Seminar | 1 | 6 | 1 | 7 | |||
| Homework Assignments | 3 | 7 | 21 | ||||
| Quiz(zes) | 4 | 2 | 1 | 12 | |||
| Midterm(s) | 2 | 15 | 2 | 34 | |||
| Total Workload | 137 | ||||||
| Total Workload/25 | 5.5 | ||||||
| ECTS | 6 | ||||||