OUR ACTIVITIES
The HPC Lab research is focused on developing digital technologies to support scientific computing and data intensive applications. The activities are based on the design, operation, and evolution of High Performance Computing and cloud infrastructures, enabling advanced modelling, simulation, Artificial Intelligence, and data analytics across a wide range of scientific and engineering domains.
High-Performance Computing
The Laboratory manages ENEA’s distributed computing infrastructure, including the computing centres located in Frascati, Portici, Casaccia, and Brindisi. It designs, operates, and continuously evolves ENEA’s computing infrastructure, ensuring reliability, scalability, and security. The main facility is the CRESCO (Computational Centre for Research on Complex Systems) supercomputing infrastructure, hosted at the ENEA Research Centre in Portici.
The Laboratory develops and operates HPC infrastructures supporting computationally intensive scientific applications. Research activities include:
- Design and optimization of HPC architectures and computing infrastructures.
- Development of scalable solutions for numerical modelling and large-scale simulations.
- Performance optimization, benchmarking, and parallel programming for scientific applications.
- Integration of heterogeneous computing technologies, including multi-core CPUs and GPU accelerators.
- Support for computational science in energy, environment, materials science, engineering, physics, chemistry, biology, and other research domains.
- Infrastructure monitoring, resilience, and operational continuity.
Scientific Data Management
The Laboratory develops technologies for managing, processing, and analysing large scientific datasets generated by simulations, experimental facilities, and observational platforms. Research activities include:
- Big Data management and analytics.
- Scientific data infrastructures and interoperable data services.
- Data visualization and interactive exploration.
- FAIR data management and open science technologies.
- Distributed storage systems and high-performance data access.
Cloud Computing and Digital Research Infrastructures
Research focuses on the development of cloud-based platforms that complement HPC infrastructures and enable flexible access to advanced computational resources. Main activities include
- HPC-cloud integration.
- Hybrid computing infrastructures.
- Container technologies and workflow orchestration.
- Cloud-native services for scientific computing.
- Virtual research environments and digital research platforms.
Artificial Intelligence and Machine Learning
The Laboratory investigates AI and Machine Learning methodologies that take advantage on the HPC infrastructure. Research topics include:
- Development of Artificial Intelligence and Machine Learning based scientific applications.
- Large-scale training and inference of deep learning models on HPC systems.
- AI-enabled digital twins and data-driven scientific workflows.
- AI-assisted computational materials science, combining first-principles simulations with Machine
- Learning techniques for the discovery and characterization of advanced materials.
- AI-driven approaches for data centre energy management and predictive optimization of computing
- infrastructures
CETMA-DIHSME
The project aims to promote the adoption of advanced digital technologies by providing an integrated portfolio of services tailored to the needs of small and medium-sized enterprises. These services range from strategic consulting and technology support to fundraising assistance and specialized training.
CRESCO
CRESCO is ENEA Hig Performance Computing infrastructure, providing advanced computational resources for large-scale modelling, simulation, Artificial Intelligence, and data-intensive research. The facility supports multidisciplinary applications enabling collaboration between ENEA, universities, research organizations, and industrial partners.
DTTU
Divertor Tokamak Test Facility Upgrade project enhances the DTT fusion research facility with advanced
technologies and High Performance Computing infrastructure for plasma simulations, data management,
and the development of next-generation fusion reactors, supporting Europe’s roadmap toward sustainable fusion energy.
EoCoE-III
The project develops next-generation HPC software and numerical methods to accelerate the energy transition through advanced simulation and modelling. ENEA contributes by developing exascale-ready codes for computational materials science, while also leading dissemination and community building activities to promote the adoption of HPC solutions across the European energy research ecosystem
EUROFUSION
MARCONI FUSION is a High Performance Computing infrastructure developed jointly by ENEA and CINECA to support the EUROfusion research programme and the development of fusion energy technologies. The system provides state of the art computational resources for large scale plasma physics simulations and the software ecosystem supporting ITER, reinforcing ENEA’s role as Italy’s Tier1 HPC centre and its contribution to the European HPC infrastructure.
GENIAL
GrEen NetworkIng And cLoud Computing is a master programme that trains highly qualified professionals in cloud computing, networking, and sustainable ICT. ENEA contributes as an associated
partner through research collaboration, advanced training, student supervision, and scientific seminars, supporting the development of a skilled community in green digital technologies
ICSC
National Research Centre for High Performance Computing, Big Data and Quantum Computing is Italy’s National Centre for advanced computing technologies, established under the National Recovery and Resilience Plan (PNRR). The Centre develops and operates cutting-edge HPC, Big Data, cloud, and Quantum Computing infrastructures while advancing scientific applications, numerical methods, and
data-driven research across multiple disciplines
IPCEI Cloud
European initiative aimed at strengthening digital sovereignty through the development of a secure,
interoperable multi provider cloud edge ecosystem. ENEA contributes to the DataCLEEN project by developing sustainable cloud and HPC infrastructures, advanced cybersecurity solutions, and federated cloud services to support AI, data-intensive applications, strategic use cases in energy, critical infrastructures, advanced materials, and cultural heritage.
MISSION INNOVATION
In the Material for Energy topic, the IEMAP (Italian Energy Materials Acceleration Platform) project aims
to establish an integrated experimental and computational infrastructure for the accelerated design, discovery, and selection of advanced materials for energy applications.
RESEARCH OF ELECTRIC SYSTEM
This project develops advanced cybersecurity solutions for next-generation digital energy networks,
enhancing their resilience against cyber threats. By integrating Artificial Intelligence, threat detection, and
automated response technologies, it aims to improve the security, reliability, and operational continuity of critical energy infrastructures
ROME TECHNOPOLE
The project aims to establish a regional innovation ecosystem that strengthens the competitiveness of the Lazio region by fostering industrial innovation, accelerating the adoption of advanced technologies, promoting international collaboration, and supporting the global positioning of regional industries in highvalue markets.
TEXTAROSSA
The project develops next generation technologies for energy-efficient exascale High Performance Computing. The focus is on heterogeneous computing architectures, AI acceleration, advanced cooling solutions, secure computing, and RISC-V-based technologies to improve the performance, scalability, and sustainability of future European supercomputing systems.
T-WINNING
This collaborative research project with Tod’s focuses on developing Artificial Intelligence and Machine Learning solutions to support data-driven product design, customer analytics, and supply chain optimization in the luxury fashion sector. ENEA contributes its expertise in AI and technology transfer by developing predictive algorithms that enhance product innovation, market trend analysis, and the competitiveness of the Made in Italy luxury brand.
WEBINARS
The Webinars section collects online events, presentations, and discussions dedicated to High Performance Computing, artificial intelligence, scientific research, and innovative technologies. Through webinars led by experts from academia, industry, and research institutions, the ENEA HPC laboratory promotes knowledge sharing, interdisciplinary collaboration, and the dissemination of the latest research activities.
Below you can find all past and upcoming webinar events organized or hosted by the laboratory.
2023/05/16
Intersect360: May 2023 HPC/AI Market Sizing and Forecast Webinar
2022/11/09
HPCWIRE: Meeting the Bandwidth Demands of Next-Gen HPC & AI System Architectures
2021/10/06
EGI: Data Management in EGI with Rucio and FTS
2021/01/28
EoCoE: Parallel Matrix-free Multigrid for Extreme Scale Computingcloud any workload
2020/10/29
Adalta: Intel oneAPI: i nuovi strumenti di sviluppo
Historical Archive Webinars
REPORTS
2024
REPORT CRESCO 2024
2023
REPORT CRESCO 2023
2022
REPORT CRESCO 2022
2021
REPORT CRESCO 2021
2020
REPORT CRESCO 2020
2020
REPORT CRESCO 2020 COVID
2019
REPORT CRESCO 2019
2018
REPORT CRESCO 2018
2017
REPORT CRESCO 2017
2016
REPORT CRESCO 2016
2015
REPORT CRESCO 2015
2014
REPORT CRESCO 2014
2013
REPORT CRESCO 2013
2012
REPORT CRESCO 2012
2010-11
REPORT CRESCO 2010-2011
2009-10
REPORT CRESCO 2009-2010
2008-09
REPORT CRESCO 2008-2009
SEMINARS
2025/12/15
CRESCO Admins: Presentazione di CRESCO-ONDEMAND agli utenti
DOCUMENTATION
PRESENTATION
2025/09/25
CRESCO Admins: Presentazione CRESCO8 agli utenti
DOCUMENTATION
PRESENTATION
2024/07/01
CRESCO Admins: Presentazione CRESCO7 agli utenti
DOCUMENTATION
PRESENTATION
2023/06/01
S.D’Onofrio: AI vlab Software Heritage
DOCUMENTATION
2023/04/04
Rome Technopole Kick Off Meeting
PRESENTATION
2022/10/21
C.Ronchetti: Artificial Intelligence Methods for Historical Documents Transcription ECCV 2022
DOCUMENTATION
2022/03/16
Bologna: Software Heritage, l’Archivio Universale dei Codici – Divagazioni sul tema
PRESENTATION
2021/10/07
S.Feriani: Software Heritage, il mirror di ENEA: una replica sperimentale
DOCUMENTATION
2021/10/07
S.D’Onofrio: Metodi di Machine Learning per il Software Engineering
DOCUMENTATION
2021/10/07
N.Quercioli: Si possono prevedere a prevedere eventi estremi climatici tramite tecniche di Machine Learning?
DOCUMENTATION
2021/06/10
F.Iannone: Attività EOCoE II IO data flow
DOCUMENTATION
2021/02/16
S.D’Onofrio: Metodi di omogenizzazione su strutture singolari periodiche
DOCUMENTATION
2021/02/09
N.Quercioli: On the topological and geometrical properties of group-equivariant non-expansive operators and their use in Deep Learning
DOCUMENTATION
2020/04/27
S.Pettisano: Il tondo di San Giuseppe e il Bambino di Bernini ad Ariccia, la sua digitalizzazione e la sua fruizione museale