CENG478 INTRODUCTION TO PARALLEL COMPUTING
Course Code: | 5710478 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 6.0 |
Department: | Computer Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Prof.Dr. MURAT MANGUOĞLU |
Offered Semester: | Fall or Spring Semesters. |
Course Objectives
To design and analyze parallel algorithms and to get experience on parallel systems.
Course Content
History and basic concepts of parallel computing. Classification of parallel processing systems. Organization of data and parallel storage. Design and analysis of parallel and vector algorithms. Performance and complexity of parallel algorithms. Examples and applications of some parallel algorithms.
Course Learning Outcomes
Today parallel computing is everywhere, it is not only the fastest computers, but also from your laptop to cellphone, most devices contain parallel processors. While the fastest computers are large parallel clusters today, programming them remains a challenge. Programmer needs to consider multiple issues like how to load balance and how to effectively use multiple levels of caches and the communication network which are not independent from the architecture being used. This course will start with high performance aspects of sequential computing, and continue with parallel computing platforms, parallel algorithms and their applications.
Program Outcomes Matrix
Contribution | |||||
# | Program Outcomes | No | Yes | ||
1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
3 | An ability to communicate effectively with a range of audiences | ✔ | |||
4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ |