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 |
|---|---|---|---|---|---|---|---|
| Parallel and Cluster Computing | CMPE575 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses Taken From Other Departments |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| 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;
|
| 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 |
|---|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to apply knowledge of mathematics, science, and engineering. | X | ||||
| 2 | An ability to design and conduct experiments, as well as to analyze and interpret data. | X | ||||
| 3 | An ability to design a system, component, or process to meet desired needs. | X | ||||
| 4 | An ability to function on multi-disciplinary domains. | |||||
| 5 | An ability to identify, formulate, and solve engineering problems. | X | ||||
| 6 | An understanding of professional and ethical responsibility. | |||||
| 7 | An ability to communicate effectively. | |||||
| 8 | Recognition of the need for, and an ability to engage in life-long learning. | |||||
| 9 | A knowledge of contemporary issues. | X | ||||
| 10 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | X | ||||
| 11 | Skills in project management and recognition of international standards and methodologies | X | ||||
| 12 | An ability to produce engineering products or prototypes that solve real-life problems. | X | ||||
| 13 | Skills that contribute to professional knowledge. | |||||
| 14 | An ability to make methodological scientific research. | |||||
| 15 | An ability to produce, report and present an original or known scientific body of knowledge. | |||||
| 16 | An ability to defend an originally produced idea. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| 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 | ||