Syllabus Application
Parallel Computing
CS 406
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Parallel Computing - CS 406
Classroom:
FASS-1010
Level of course:
Undergraduate
Course Credits:
SU Credit:3.000, ECTS:6, Engineering:6
Prerequisites:
CS 301
Corequisites:
-
Course Type:
Lecture
Instructor(s) Information
Kamer Kaya
- Email: kaya@sabanciuniv.edu
Course Information
Catalog Course Description
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.
Course Learning Outcomes:
| 1. | 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. |
|---|---|
| 2. | At the end of the course the student will be able to design, apply, and analyze parallel algorithms in problem solving. |
| 3. | 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. |
| 4. | At the end of the course the student will gain hands-on experience with GPU programming with CUDA and multicore programming with OpenMP. |
Course Objective
To teach fundamentals of traditional and modern concepts in parallel computing with a sufficient hands-on experience on parallel programming
Course Materials
Resources:
There is no official book. Slides will be provided.
Technology Requirements:
Server accounts will be provided to the students.