Parallel and Distributed Algorithms
A.Y. 2025/2026
Learning objectives
The aim of the course is introducing the main concepts and methods in parallel and distribuite algorithm design, together with performance evaluation and comparison with sequential algorithms.
Expected learning outcomes
The student should be able to tell parallel from distributed world, apply techniques and methods presented along the course aiming to design efficient parallel and distribuite algorithms. In addition, the student should be able to analyze required computational resources, in order to assess performance and correctness of algorithms.
Lesson period: First four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First four month period
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Palano Beatrice Santa
Shifts:
Turno
Professor:
Palano Beatrice SantaProfessor(s)