Resilient Computing Lab
Centro Nazionale 1- Multiscale Modeling & Engineering Applications
Framework
The spoke "Multiscale modeling & Engineering applications" deals on the one hand with computational aspects related to "Multiscale modeling", on the other hand with the use of HPC and Big Data tools for applications in various fields of Science and Engineering. The Spoke includes expertises in development and use of simulation techniques that make extensive use of advanced numerical models, HPC and Big Data facilities. The characteristic of the Spoke is the ability to globally address problems that span several disciplines, involving multiple scales (from the sub-nanoscopic scale of electrons and atoms, to meso and macro scales), heterogeneous and large datasets, and interdisciplinary and multi-physics approaches, combined with the unique ability to translate numerical and analytical technologies into applications of direct interest and use for different scientific and engineering fields at national and international level.
Objectives
The characterization of dynamics and statics in complex cyber/physical systems takes place on multiple scales of time and space, and represents a great scientific challenge, whose understanding requires a synergy between theoretical and advanced computational tools. In recent years, the possibility of determining through microscopic approaches from first principles the parameters to be used in meso- and macroscopic modeling and strategies based on big data and machine learning have revolutionized the field of Data Science and HPC and promise to change the paradigm by which future scientific analysis will be approached. Bridging the gap between the scales and developing algorithms and codes able to extract the computational power of computer architectures (massively parallel and equipped with GPUs, FPGAs or future computing accelerators) is a key for the development of enabling technology for a huge variety of Engineering applications in the view of fostering the development of a knowledge-based society. Beside developing models and related computational algorithms, a crucial aspect is transferring these technologies to the industry. In this context, the spoke encompasses a wide range of expertise spanning from fundamental research on multiscale computational tools for engineering to their technology transfer to the industry and society at large.
Objectives
The characterization of dynamics and statics in complex cyber/physical systems takes place on multiple scales of time and space, and represents a great scientific challenge, whose understanding requires a synergy between theoretical and advanced computational tools. In recent years, the possibility of determining through microscopic approaches from first principles the parameters to be used in meso- and macroscopic modeling and strategies based on big data and machine learning have revolutionized the field of Data Science and HPC and promise to change the paradigm by which future scientific analysis will be approached. Bridging the gap between the scales and developing algorithms and codes able to extract the computational power of computer architectures (massively parallel and equipped with GPUs, FPGAs or future computing accelerators) is a key for the development of enabling technology for a huge variety of Engineering applications in the view of fostering the development of a knowledge-based society. Beside developing models and related computational algorithms, a crucial aspect is transferring these technologies to the industry. In this context, the spoke encompasses a wide range of expertise spanning from fundamental research on multiscale computational tools for engineering to their technology transfer to the industry and society at large.