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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING
Masters with Thesis
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Masters with Thesis
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BIL5080Computer Networks and Parallel Computing3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of COMPUTER ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The course aims to introduce theory of parallel computing techniques, parallel programming on cluster of workstations, and the internet as the parallel programming environment.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : implement internet, computer networks and network applications.3,4,5,7,8,9,111
PO - 2 : develop programs for networked multi-computers.2,3,4,10,111
PO - 3 : compare and evaluate parallel applications on different multi computers systems.2,4,5,7,8,131
PO - 4 : develop pipeline, synchronous and asynchronous computations on shared and virtually shared2,3,4,5,91
PO - 5 : develop parallel software for various numerical algorithms. değişik sayısal algoritmalar için paralel yazılımlar geliştirebilecekler.4,5,7,81,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
The Internet; network applications. Client server interactions. The socket interface and socket programming. Remote procedure call. Parallel computers and networked computers as a multi-computer platform. Message passing computing; Using workstation clusters (PVM and MPI) . Debugging and evaluating parallel programs. Ideal (embarrassingly) parallel computations. Partitioning and divide-and-conquer strategies. Pipilene techniques. Synchronous computations. Load balancing and termination detection. Programming with shared and virtually shared memory. Multi processing and Pthreads. Algorithms and parallel applications; sorting algorithms, numerical algorithms, image processing, searching and optimization.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1The Internet, network applications, client server interactions
 Week 2The socket interface and socket programmingi and Remote procedure call
 Week 3Parallel computers and networked computers as a multi-computer platform
 Week 4Message passing computing
 Week 5Using workstation clusters (PVM and MPI)
 Week 6Debugging and evaluating parallel programs
 Week 7Ideal (embarrassingly) parallel computations
 Week 8Mid-term exam
 Week 9Partitioning and divide-and-conquer strategies
 Week 10Pipilene techniques
 Week 11Synchronous computations
 Week 12Load balancing and termination detection, and short exam
 Week 13Programming with shared and virtually shared memory
 Week 14Multi processing and Pthreads
 Week 15Algorithms and parallel applications; sorting algorithms, numerical algorithms, image processing, searching and optimization
 Week 16End-of-term exam
 
Textbook / Material
1Barry Wilkinson (1999), Parallel Programming; Techniques and applications using networked workstations and parallel computers, Prentice Hall.
2Douglas E. Comer, (2001), Computer Networks and Internets with Internet application, Prentice Hall.
3Alan Chalmers (1996), Practical parallel processing, Thomson Computer Press.
4Kai Hwang (1993), Advanced computer architecture; parallelism, scalability and programmability, McGraw Hill.
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 2 30
Quiz 12 2 20
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 6 14 84
Arasınav için hazırlık 20 1 20
Kısa sınav 2 1 2
Dönem sonu sınavı için hazırlık 30 1 30
Dönem sonu sınavı 2 1 2
Diğer 1 10 1 10
Diğer 2 10 1 10
Total work load200