ECTS - Parallel and Cluster Computing
Parallel and Cluster Computing (CMPE575) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Parallel and Cluster Computing | CMPE575 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | TheThe objective of this course is to teach parallel/cluster computer architectures and their organization. This course also aims at teaching different programming paradigms for parallelizing engineering problems. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Models of parallel computing ? dependence on architecture, trade-off between computation cost and communication cost, performance measures for parallel computation ? computational complexity, techniques for parallel computation ? divide and conquer, partitioning, and pipelining, parallel algorithms for sorting, searching and matrix computations, MP |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to parallel/cluster computing. | Ch 1.1 of the main text |
2 | Parallel computing platforms 1 | Ch 1.2 |
3 | Parallel computing platforms 2 | Ch 1.3-1.4-1.5 |
4 | Parallel algorithm design principles 1 | Ch 4, Ch 3 – other resources 1 |
5 | Parallel algorithm design principles 2 | Ch 4, Ch 3 – other resources 1 |
6 | Parallel algorithm design principles 3 | Ch 4, Ch 3 – other resources 1 |
7 | Synchronous Computations | Ch 6 |
8 | Analytical models for parallel programming 1 | Ch 5 – other resources 1 |
9 | Analytical models for parallel programming 2 | Ch 5 – other resources 1 |
10 | Message Passing with MPI 1 | Ch 2, Ch 6 – other resources 1 |
11 | Message Passing with MPI 2 | Ch 2, Ch 6 – other resources 1 |
12 | Developing parallel programs with MPI | Ch 10-11, Ch 2, Ch 8-9-10 – other resources 1 |
13 | OpenMP programming 1 | Ch 8 – other resources 5 |
14 | OpenMP programming 2 | Ch 8 – other resources 5 |
15 | Review | |
16 | Review |
Sources
Course Book | 1. “Parallel Programming: Techniques & Applications Using Networked Workstations & Parallel Computers”, 2nd. Edition, B. Wilkinson Michael Allen, Pearson, 2005 |
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Other Sources | 2. “Introduction to Parallel Computing”, 2nd Edition, A. Grama, A. Gupta and G. Karypis, V. Kumar Addison-Wesley 2003. |
3. http://www.hku.hk/cc/sp2/ftp/mpi/MPI_ug_in_FORTRAN.doc | |
4. "Using MPI - 2nd Edition: Portable Parallel Programming with the Message Passing Interface (Scientific and Engineering Computation)", William Gropp, 1999 | |
5. "Parallel Programming With MPI", Peter Pacheco, Morgan Kaufmann, 1997 | |
6. “Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)”, Barbara Chapman, Gabriele Jost, Ruud van der Pas, The MIT Press, 2007. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | 1 | 30 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 3 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems. | X | ||||
2 | Develop solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
3 | An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices. | X | ||||
4 | An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | |||||
5 | Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | |||||
6 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | |||||
7 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
8 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | |||||
9 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
10 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | 1 | 15 | 15 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 15 | 15 |
Prepration of Final Exams/Final Jury | 1 | 20 | 20 |
Total Workload | 130 |