High-Performance Computing (HPC) for Multi-Functional Metamaterials and Metastructures
Objectives
The use of advanced numerical modeling and simulation techniques is nowadays essential to characterized the behavior and response of complex material and structures. However, classical computing architectures are useless when there is the need of obtaining accurate results in a reasonable computational time in case of multi-functional/multi-physics analysis. This course aims at providing the fundamentals of High Performance Computing (HPC) technologies and infrastructures and of programming techniques for HPC architectures. Applicative examples based on parallel SW programs will complement the theoretical parts.
Topics
Introduction to parallel computing
Parallel algorithms and parallel models of computation
Introduction to HPC architectures
Performance evaluation of parallel programs: measuring and understanding speedup and efficiency
Required Skills
Good programming skills.
Course Modality and Verification of Learning
The course is offered on-site and on-line (synchronous and asynchronous) with video recordings, hand-outs, etc. of the lectures available off-line (*). The teaching activity includes theoretical lessons and SW exercises. The exam consists of a written test with multiple-choice questions on the topics of the course.
(*) Each registered participant acknowledges that the material distributed in the frame of the courses, available for the duration of the current edition of the Postgraduate program, is protected by copyright and delivered for educational purposes and personal use only. The participant agrees and undertakes not to forward, publish, disclose, distribute, disseminate – in any form or manner – such a material without written consent of the author(s) of the material. Unless otherwise explicitly allowed by the speaker in written form, no recordings of the online lectures can be made.
