Gpu Computing
A.Y. 2025/2026
Learning objectives
This course mainly focuses on parallel programming techniques and parallel pattern design aiming at developing applications on many-core architectures, such as the GPU (Graphics Processing Units) devices, widely used in high performance computing.
Expected learning outcomes
Students will be able to develop and deploy applications on CPU-GPU hybrid systems, which means to be skilled at:
- structuring the logic design in order to identify subtasks than can be actually parallelized
- analyzing in a critical way the hw resources required by the different levels of concurrency
- understanding the performance evaluation and optimization process
- structuring the logic design in order to identify subtasks than can be actually parallelized
- analyzing in a critical way the hw resources required by the different levels of concurrency
- understanding the performance evaluation and optimization process
Lesson period: Second semester
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
Course syllabus
The syllabus is shared with the following courses:
- [FBA-40](https://www.unimi.it/en/ugov/of/af20260000fba-40)
- [FBA-40](https://www.unimi.it/en/ugov/of/af20260000fba-40)
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Grossi Giuliano
Shifts:
Turno
Professor:
Grossi GiulianoProfessor(s)