DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1413002012 | ||||||||
Ders İsmi: | Parallel Computing | ||||||||
Ders Yarıyılı: | Fall | ||||||||
Ders Kredileri: |
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Language of instruction: | EN | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Adem ÖZYAVAŞ | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | The course gives an overview of the architectures and communication networks employed in parallel computers. The course covers the foundations for development of efficient parallel algorithms, including examples from relatively simple numerical problems, sorting, and graph problems. Adaption of algorithms to special computer architectures is discussed. |
Course Content: | Relevant theory is covered in lectures together with examples of how one develops parallel computer programs. The students then solve programming problems themselves using parallel computers. A large part of the teaching is practically oriented. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Principles of parallel algorithm design | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
2) | Principles of parallel algorithm design decomposition techniques mapping & scheduling computation templates | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
3) | Programming shared-address space systems | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
4) | Programming shared-address space systems Cilk Plus OpenMP Pthreads | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
5) | Parallel computer architectures | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
6) | Programming scalable systems | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
7) | Analytical modeling of program performance | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
8) | midterm | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
9) | Collective communication | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
10) | Synchronization | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
11) | Non-numerical algorithms | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
12) | Numerical algorithms | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
13) | Performance measurement and analysis of parallel programs | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
14) | GPU Programming | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
15) | Final | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
Course Notes / Textbooks: | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
References: | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
Ders Öğrenme Kazanımları | 1 |
3 |
2 |
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Program Outcomes | ||||||||||
1) Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions. | ||||||||||
2) Skills to design and conduct experiments, collect data, analyze and interpret results. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | ||||||||||
4) Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | ||||||||||
6) Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | ||||||||||
8) Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | ||||||||||
9) Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. | ||||||||||
10) Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | ||||||||||
11) Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions. | |
2) | Skills to design and conduct experiments, collect data, analyze and interpret results. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | |
4) | Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | |
5) | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | |
6) | Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | |
9) | Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. | |
10) | Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |
11) | Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Course | |
Grup çalışması ve ödevi | |
Problem Çözme | |
Proje Hazırlama |
Homework | |
Uygulama | |
Bireysel Proje | |
Raporlama |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 10 | % 20 |
Project | 1 | % 20 |
Midterms | 1 | % 20 |
Semester Final Exam | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Application | 10 | 3 | 30 |
Study Hours Out of Class | 14 | 3 | 42 |
Homework Assignments | 10 | 3 | 30 |
Midterms | 1 | 2 | 2 |
Final | 1 | 3 | 3 |
Total Workload | 149 |