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Foundations of High Performance Computing

Curriculum

Computational Science and Engineering

Data Science and Applications

Path

AI for Cyber-Physical Systems

Computational Chemistry

Computational Cosmology

Computational Fluid Dynamics

Computational Physics

Data Management and Engineering

Data Processing and Visualization

Data Science for Digital Transportation

Data Science for Healthcare

Data Science for Life Sciences

Data Science for Social Sciences

Data Science in Geodata Science

Foundations of AI and ML

Quantum Computing

Year

SSD

ING-INF/05

TAF

B

CFU

9

SEM

I

Lecturers

Stefano Cozzini

Detailed Description

Esse3 Course Page

Objective: introducing students to modern architectures for high performance computing. Students will learn how to properly test such architectures (computing power, bandwidth, latency, energy efficiency). Leveraging these skills, students will be introduced to the parallel programming based on MPI protocols (Message Passing Interface) and multi-threading with OpenMP.