1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. COMPUTER ENGINEERING DEPARTMENT
  4. 1281 Computer Engineering
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 505PARALLEL PROGRAMMING3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective To get efficient results from parallel architectures, there is a need to develop appropriate software for mentioned structures. The first step in this direction is the development of parallel algorithms, then to express and apply these algorithms in one of the parallel programming languages. The aim of this course is to instruct the students to the problems while developing parallel algorithms, provide solutions, and give information about program development techniques using the existing structures in parallel programming languages.
Course Content Introduction to parallel programming. Application areas. Problems related to parallel algorithms: synchronization, communication and critical sections. Synchronization mechanisms: semaphores, monitors, and others. Their implementation and application. Message based communication primitives. Rendezvous mechanism. Parallel programming languages: CSP, Occam and ADA. Design and analysis of classical parallel algorithms.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1List the applications of parallel programming
2Distinguish parallel programming
3Support classical parallel algorithms.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 0013225 3    2 
LO 0023225 3    2 
LO 0033225 3    2 
Sub Total96615 9    6 
Contribution322503000020

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)15345
Hours for off-the-classroom study (Pre-study, practice)15460
Mid-terms11515
Final examination13030
Report / Project31545
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2017-2018 Spring1ELİF HAYTAOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
CENG 505 PARALLEL PROGRAMMING 3 + 0 1 Turkish 2017-2018 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ELİF HAYTAOĞLU eacar@pau.edu.tr MUH A0257 %60
Goals To get efficient results from parallel architectures, there is a need to develop appropriate software for mentioned structures. The first step in this direction is the development of parallel algorithms, then to express and apply these algorithms in one of the parallel programming languages. The aim of this course is to instruct the students to the problems while developing parallel algorithms, provide solutions, and give information about program development techniques using the existing structures in parallel programming languages.
Content Introduction to parallel programming. Application areas. Problems related to parallel algorithms: synchronization, communication and critical sections. Synchronization mechanisms: semaphores, monitors, and others. Their implementation and application. Message based communication primitives. Rendezvous mechanism. Parallel programming languages: CSP, Occam and ADA. Design and analysis of classical parallel algorithms.
Topics
WeeksTopics
1 MPI
2 MPI
3 MPI
4 MPI
5 MPI
6 MPI
7 MPI
8 MPI
9 Midterm
10 MPI
11 OpenMP
12 OpenMP
13 CUDA
14 CUDA
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes