Major Parallel and Distributed Systems (PDS)

The Parallel and Distributed Systems (PDS) major is a research-oriented major of the FODQ track of the Master in Computer Science at IP Paris. It aims to train the next generation of researchers and top-level engineers who will lead innovation in the field of parallel and distributed systems.

Parallel and distributed systems are ubiquitous in many applications of our daily life (AI applications, online games, social networks, web services, healthcare simulations…). These systems distribute computation across many computing units because they must sustain massive workloads that cannot fit on a single computer.

Designing efficient, correct, and easy-to-maintain parallel and distributed systems is challenging. This challenge is inherent to the complexity of managing multiple machines, numerous users, and very large data sets. In the PDS major, students learn how to address these challenges and their related research questions. Students in the major learn both the theory and practice that underpin such systems, with courses ranging from operating systems, compilation, and large-scale distributed middleware to the algorithmic and mathematical foundations of distributed and parallel systems.

Objectives 

• Train the next generation of researchers and engineers to lead innovation in parallel and distributed systems.
• Master the theoretical and practical skills to design efficient, correct, and maintainable parallel and distributed systems at the highest level.
• Develop research-oriented expertise through specialized projects and seminars, preparing students for a career in computer science research