The laboratory supports the Group's process of digital transformation, immediately integrating the latest technological advances in digitisation into its production chain. By exploring technologies that go beyond the current state of the art, the laboratory serves as a key player in the broader process of defining and guiding the future requirements of technology, as well as in identifying roadmaps for the development of High-Performance Computing and cloud and edge computing. Leonardo's digital transformation revolves around davinci-1, the new hybrid supercomputing infrastructure whose computing power and storage capacity can be used both as a traditional bare metal HPC centre and as a cloud platform. One of the Lab’s key goals is supporting and accelerating the process of digitisation by transferring, optimising, and modernising traditional engineering workflows on davinci-1, thus enabling new features for digital twinning, advanced simulation, artificial intelligence, big data analysis and other areas of interest, even while increasing their performance and energy efficiency.
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We study high performance computing techniques and technologies using supercomputing and edge computing infrastructure with the goal of accelerating solutions for simulation, artificial intelligence, and other industrial application workflows, while exploring new hardware and software solutions. This field of research focuses on: evaluation of the performance and capabilities of the most recent CPU (Central Processing Unit) and GPU (Graphic Processing Unit) hardware for high performance computing and edge computing; development of next-generation processors and accelerators through co-design; optimisation, modernisation and acceleration of coding using parallel computing techniques; reduction of power consumption and optimisation of computational workloads for edge applications ranging from smart cities to drones and Space.
We develop digital solutions based on cloud computing capabilities in both on-premises and edge modes, with the aim of supporting the company’s digital transformation and the growing demands of multiple applications. This field of research focuses on: evaluation of the performance and capabilities of the latest generation CPU (Central Processing Unit) and GPU (Graphic Processing Unit) hardware for cloud computing; creation of internal cloud computing capabilities to digitise internal company workflows and enable advanced data analytics; exploration of new cloud computing paradigms based on open-source tools, including approaches to microservices.
We develop new methods for the management, processing, and real-time conversion of a large volume of structured, semi-structured and unstructured data from heterogeneous sources. The goal is to create real-time data analytics systems for applications supporting decision-making, logistics and predictive maintenance. This field of research focuses on: acceleration of big data analysis workflows by updating the company's internal software stack, in terms of both programming and algorithms; creation of advanced big data tools to digitise and accelerate data analysis within the company; development of advanced architectures for secure and collaborative storage, management, exchange and analysis of data.