| DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH) | |||||
|---|---|---|---|---|---|
| Qualification Awarded | Program Süresi | Toplam Kredi (AKTS) | Öğretim Şekli | Yeterliliğin Düzeyi ve Öğrenme Alanı | |
| 4 | 240 | FULL TIME |
TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6 QF-EHEA:First Cycle TR-NQF-HE, ISCED (1997-2013): 48,52 |
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| 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 | ||||||||||
| Other Recommended Topics for the Course: | |||||||||||
| 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) | GPU Programming | Peter S. Pacheco, An Introduction to Parallel Programming, Morgan Kaufmann, 2011 |
| 16) | 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) Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems | |||||||||||||
| 2) Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill. | |||||||||||||
| 3) Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration. | |||||||||||||
| 4) Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions. | |||||||||||||
| 5) Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems. | |||||||||||||
| 6) Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results. | |||||||||||||
| 7) Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions | |||||||||||||
| 8) Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity. | |||||||||||||
| 9) Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid). | |||||||||||||
| 10) Individual working ability. | |||||||||||||
| 11) Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession). | |||||||||||||
| 12) Knowledge of business practices such as project management and economic feasibility analysis | |||||||||||||
| 13) Awareness about entrepreneurship and innovation. | |||||||||||||
| 14) A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes. | |||||||||||||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems | |
| 2) | Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill. | |
| 3) | Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration. | |
| 4) | Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions. | |
| 5) | Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems. | |
| 6) | Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results. | |
| 7) | Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions | |
| 8) | Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity. | |
| 9) | Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid). | |
| 10) | Individual working ability. | |
| 11) | Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession). | |
| 12) | Knowledge of business practices such as project management and economic feasibility analysis | |
| 13) | Awareness about entrepreneurship and innovation. | |
| 14) | A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes. |
| 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 | ||