This course is an introduction to various aspects of parallel computing. Topics include: taxonomy of parallel architectures and interconnection networks, parallel algorithms and programming, speed-up, efficiency and performance issues; control parallel, data parallel and data flow models; parallel algorithms for sorting, matrix operations, graph problems.
Parallel Computing (CS 406)
| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering | * | ||
| Computer Science and Engineering | * | ||
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Industrial Engineering | * | ||
| Industrial Engineering (Previous Name: Manufacturing Systems Engineering) | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Microelectronics | * | ||
| Telecommunications | * |
CONTENT
OBJECTIVE
To teach fundamentals of traditional and modern concepts in parallel computing with a sufficient hands-on experience on parallel programming
LEARNING OUTCOMES
- At the end of the course the student will understand the evolution of high performance and parallel computing with respect to laws and modern hardware.
- At the end of the course the student will be able to design, apply, and analyze parallel algorithms in problem solving.
- At the end of the course the student will be competent to measure the performance of parallel and distributed programs. S/he will be able to evaluate whether a parallel and distributed application is efficient or not and propose techniques to increase the performance.
- At the end of the course the student will gain hands-on experience with GPU programming with CUDA and multicore programming with OpenMP.
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 1
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2
1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 2
2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose. 1
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively. 2
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements. 1
5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 2
6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 1
7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 1
8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 1
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ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Midterm | 20 |
| Assignment | 40 |
| Group Project | 40 |
RECOMENDED or REQUIRED READINGS
| Textbook |
"Introduction to Parallel Computing" by Ananth Grama, Anshul Gupta, George Karypis and Vipin Kumar |
| Optional Readings |
"Programming on Parallel Machines: GPU, Multicore, Clusters and More" by Norm Matloff |