DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1413002012

Ders İsmi:

Parallel Computing

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Department Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Adem ÖZYAVAŞ

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

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.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) analyze sequential programs and determine if they are worthwhile to parallelize
2 - Skills
Cognitive - Practical
1) optimize sequential code for fastest possible execution.
2) develop, analyze, and implement algorithms for parallel computers. This applies both to computers with shared memory and with distributed memory
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

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

Sources

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 - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	3	2
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.

Ders - Öğrenme Kazanımı İlişkisi

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.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Grup çalışması ve ödevi
Problem Çözme
Proje Hazırlama

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Homework
Uygulama
Bireysel Proje
Raporlama

Assessment & Grading

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

İş Yükü ve AKTS Kredisi Hesaplaması

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