Welcome
Welcome to the Parallel and Distributed Programming course (Programming 3)! This course is designed to provide students with a comprehensive understanding of parallel and distributed computing concepts and practices. The emphasis is on practical problem-solving in diverse domains, ranging from graphics and image processing to evolutionary algorithms, optimization, games, networking, decentralized systems, fractals and more...
Each project is equipped with tags among the following:
About
Students are required to select one project from a curated list that is both intellectually stimulating and enjoyable. The projects cover a wide array of application areas to ensure engagement and relevance. Each project is carefully chosen to present opportunities for parallel and distributed implementations, allowing students to explore and harness the power of concurrent computing.
The course webpage, including detailed project descriptions, datasets, and implementation guidelines, is accessible to fellow educators and staff. It serves as a resource for inspiration and ideas for parallel and distributed programming courses. We encourage collaboration and the exchange of ideas among the academic community.
Rules & Grading
- At most, two students can pick the same project.
- Each project (unless otherwise specified) must be implemented in three modes, namely sequential, parallel, and distributed.
- All three implementations must be tested in terms of performance on various input sizes.
- A successful submission must include the source code of all three implementations and a report.
- The report is written in LaTeX using the ACM conference template.
- The selection process will be explained in detail during lectures.
- Project submission should be done via the e-classroom.
- Projects are graded after an oral defense.
