{"id":12698,"date":"2025-07-03T18:18:37","date_gmt":"2025-07-03T16:18:37","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/hpccn\/"},"modified":"2026-04-02T12:32:12","modified_gmt":"2026-04-02T10:32:12","slug":"hpccn","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/hpccn\/","title":{"rendered":"HPCCN"},"content":{"rendered":"<p>The ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing promotes national and international-level innovation, building on a state-of-the-art infrastructure for computation and big data management.\u00a0 The Center focuses, on the one hand, on the maintenance and enhancement of the Italian HPC and Big Data infrastructure and, on the other hand, on the development of advanced numerical methods and applications, software tools and workflows, to integrate the computation, simulation, collection and analysis of data of interest to the research system and the productive and social system, including through cloud and distributed approaches. It engages and promotes the best interdisciplinary expertise in science and engineering, enabling radical and sustainable innovations in fields ranging from basic research to computational and experimental sciences of climate, environment, space, matter and life, epidemiology, materials technologies, and future systems and devices for IT and the production system at large. The Center supports higher education and promotes policy development for responsible data management from an open data and open science perspective, combining regulatory, standardization and compliance profiles.<br \/>\n\u00a0<br \/>\nCRS4 participates in the project in Spoke 9 (Digital Cities) through [a] the research and development of AI solutions to infer, from visual data or other measurements, of 3D structured models of buildings; [b] solutions to improve the quality and reliability of digital twins by fostering composability, interoperability, reusability and reproducibility of datasets, computational tools and their results; [c] the study and development of probabilistic methods for forecasting electricity consumption and renewable generation for individuals and smart and artificial intelligence methods for electricity consumption analysis and non-intrusive disaggregation of household electric loads.<br \/>\n\u00a0<br \/>\nProject Partners:\u00a0<a>https:\/\/www.supercomputing-icsc.it\/en\/partnership\/<\/a><\/p>\n","protected":false},"featured_media":11003,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-12698","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"National Center for HPC, Big Data and Quantum Computing Spoke 9 Digital Society and Smart Cities","acronym":"HPCCN","project_uuid":"21cdae61-342f-11ed-ab26-506b8d36975d","start_date":"01\/09\/2022","end_date":"30\/06\/2026","funder":"MUR  PNRR M4C2 - Investimento 1.4 -  Avviso Centri Nazionali","partners":"\n<table style=\"width:100%; border-collapse: collapse;\">\n  <tr>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nome<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nazione<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Ruolo<\/th>\n  <\/tr>\n\n  <tr>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\"><a href=\"http:\/\/www.infn.it\" target=\"_blank\">Istituto Nazionale di Fisica Nucleare<\/a><\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Italy<\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Coordinator<\/td>\n  <\/tr>\n<\/table>","proj_website":"https:\/\/www.supercomputing-icsc.it","project_status":"Execution","project_coordinator":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-09 11:11:27","post_modified_gmt":"2026-04-09 09:11:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10226,"post_author":"4","post_date":"2025-06-30 17:23:05","post_date_gmt":"2025-06-30 15:23:05","post_content":"Francesca coordinates the digital health research activities on the Visual and Data-intensive Computing Sector at CRS4 (prev. Research Programs Digital Health\/Healthcare Flows). Her research activity spans the opportunities and problems arising from the application of computer science to medicine, working on interoperability, traceability, telemedicine and modelling of data and processes in the clinical context. In her 20 years of research experience she has cultivated ongoing collaborations with public and private organisations, including research institutions, hospitals and industries operating in the health IT sector, with particular attention to the direct application of research results in clinical practice. She holds a Ph.D. in Innovation Sciences and Technologies from the University of Cagliari and a degree in Biomedical Engineering from the University of Genoa. Her present research interests are mainly focused on the modelling of biomedical data and processes, with a particular attention to interoperability and traceability, also in the perspective of the application of the FAIR Principles. In particular, she is currently working: on an integration profile about specimen tracking (SET profile), with the IHE PaLM Technical committee; on the modelling of genetic data through the openEHR formalism, with openEHR International; and a standard under development about provenance information in the biotechnology domain (Standard ISO 23494, ISO Technical Committee 276), with BBMRI-ERIC, the European research infrastructure for biobanking.","post_title":"Francesca Frexia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesca-frexia","to_ping":"","pinged":"","post_modified":"2026-04-09 11:11:20","post_modified_gmt":"2026-04-09 09:11:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesca-frexia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10251,"post_author":"4","post_date":"2025-06-30 17:23:36","post_date_gmt":"2025-06-30 15:23:36","post_content":"Simone Leo holds a five-year degree in Electronic Engineering from the University of Cagliari and a Ph.D. in Biomedical Engineering from the same university. From 2003 to 2006 he has worked in the private sector as a system administrator. Since 2006 he has been working at CRS4 as a software engineer and, from 2008, as a researcher. His research interests are mainly focused on distributed computing models, with an emphasis on their applicability to computational biology.","post_title":"Simone Leo","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"simone-leo","to_ping":"","pinged":"","post_modified":"2026-04-09 11:11:44","post_modified_gmt":"2026-04-09 09:11:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/simone-leo\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10283,"post_author":"4","post_date":"2025-06-30 17:24:15","post_date_gmt":"2025-06-30 15:24:15","post_content":"Fabio Marton is a researcher in the Visual Computing (ViC) group at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4). He holds a Laurea (M. Sc.) degree (1999) in Computer Engineering from the University of Padova. His current research interests include out-of-core data processing, compression multiresolution modeling and time-critical rendering. He has participated as a key developer in industrial and research projects that have led to the development of state-of-the-art tools for large scale model rendering. He has co-authored papers in major international refereed journals and conferences, including SIGGRAPH, Eurographics, and IEEE Visualization. He has been EGPGV (Eurographics Symposium on Parallel Graphics) symposium chair (Cagliari, 2012) and paper co-chair (Girona, 2013). He is IPC member for Web3D from 2011. He serves as reviewer for international computer graphics journals and conferences. Before joining CRS4, he worked on 3D scanning at LMTT Padova and Optonet Brescia.","post_title":"Fabio Marton","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-marton","to_ping":"","pinged":"","post_modified":"2026-04-09 11:12:23","post_modified_gmt":"2026-04-09 09:12:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-marton\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10088,"post_author":"4","post_date":"2025-06-30 17:25:19","post_date_gmt":"2025-06-30 15:25:19","post_content":"Project Leader and Senior Researcher at the Visual and Data Intensive Computing (VIDiC) group at CRS4, Giovanni Pintore specializes in advanced technologies for visual data processing and visualization.He holds a Master%u2019s Degree in Electronic Engineering (pre-reform system) from the University of Cagliari and a PhD in Information and Communication Technologies (ICT) from the University of A Coru\u00f1a (UDC).His research interests include:  Artificial intelligence for VR model generation from spherical images   Indoor scene reconstruction using deep learning techniques   3D reconstruction of indoor structures and environments from images   Multiresolution representations of large and complex 3D models  He leads national and international research and industrial projects, with applications in the fields of security, space exploration, and smart cities. He serves as program chair, editor, and reviewer for various international conferences and journals.","post_title":"Giovanni Pintore","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-pintore","to_ping":"","pinged":"","post_modified":"2026-04-09 11:13:26","post_modified_gmt":"2026-04-09 09:13:26","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-pintore\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10281,"post_author":"4","post_date":"2025-06-30 17:24:12","post_date_gmt":"2025-06-30 15:24:12","post_content":"Senior researcher at CRS4, he is head of           the Environmental Sciences branch of the Energy &           Environment program. His research interests are related to           meteorological mesoscale ensemble prediction, climatic           modelling and environmental data analysis. Currently, between           the others, he is involved in the EU-H2020 Netfficient project for the           development of a energy production, from renewable sources,           forecasting system. Recently involved in the EU-FP7 CLIMB           project in which CRS4 evaluated and compared the skill of           various regional climate models as boundary conditions for           hydrological modelling scenario studies in the Mediterranean basin area. Within           the projects GRIDA3 and CYBERSAR, funded by the Italian           Research Ministry (MIUR), he was involved in setting up a           multi-model multianalysis limited area ensemble to be run on a           GRID infrastructure and\/or remote computing portals. He has           been involved in many other European and Italian research           programs: FP7, Interreg IIC, FP6, for European Southern           Observatory, for the Italian Space Agency, MIUR, National           Council of Research (CNR), Italian Electric Power Company           (ENEL).","post_title":"Marino Marrocu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"marino-marrocu","to_ping":"","pinged":"","post_modified":"2026-04-09 11:12:20","post_modified_gmt":"2026-04-09 09:12:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/marino-marrocu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10288,"post_author":"4","post_date":"2025-06-30 17:24:22","post_date_gmt":"2025-06-30 15:24:22","post_content":"Luca Massidda graduates in Mechanical Engineering at Cagliari University in 1997. He works for two year as a mechanical engineer for a private company, designing special valves for refinery plants.  Since 1999 he works at CRS4, where he gains experience in mechanical simulation and in scientific programming on parallel machines. He is involved in several projects: the design of fission fragment space propulsion system for the Italian Space Agency, the design of several equipment of the LHC and other experiments for CERN, the simulation of elastic wave propagation in various fields, the design and simulation of a solar power system, among others.  In 2008 he works at CERN as a scientific associate developing simulation software for beam dump studies.  He is now working again at CRS4 in fluid dynamics, turbulent combustion and mechanical simulation and he is group leader of the Smart Energy Systems team.","post_title":"Luca Massidda","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-massidda","to_ping":"","pinged":"","post_modified":"2026-04-09 11:12:31","post_modified_gmt":"2026-04-09 09:12:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-massidda\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10066,"post_author":"4","post_date":"2025-06-30 17:25:33","post_date_gmt":"2025-06-30 15:25:33","post_content":"Luca Pireddu earned his degree in Computing Science in 2003 from Laurentian University in Sudbury, Canada. Here he also started his research work joining MIRARCO in 2002, where he completed his undergraduate thesis on computational methods to optimize underground mine plans. He later pursued graduate studies at the University of Alberta, Canada, receiving his M.Sc. in Computing Science in 2006 with a thesis on predicting biological pathways by proteome analysis - a project that he continued as a researcher at U. of A. after his studies. After a stint in the private sector, Luca joined CRS4, where he currently works with the Visual and Data-Intensive Computing group. He has coordinated CRS4's participation in several EU, national and regional research projects in the area of novel development and application of data processing, analysis and management techniques to concrete problems in several fields of interest - particularly, bioinformatics, biomedical research and urban computing. He is particularly interested in techniques for facilitating scalability of complex computational scientific workflows, secure and scalable methods to leverage sensitive data collections, and data and workflow re-use through the application of FAIR principles. He represents CRS4 at the Italian nodes of the BBMRI-ERIC and ELIXIR EU Research Infrastructures and at the Data, AI and Robotics (DAIRO) Association (ex BDVA).","post_title":"Luca Pireddu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-pireddu","to_ping":"","pinged":"","post_modified":"2026-04-09 11:13:38","post_modified_gmt":"2026-04-09 09:13:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-pireddu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10077,"post_author":"4","post_date":"2025-06-30 17:25:26","post_date_gmt":"2025-06-30 15:25:26","post_content":"Ruggero Pintus studied Electronic Engineering at the University of Cagliari in Italy,where  he received his master's degree in April 2003. In 2004, he started  working as a researcher at the Department of Electrical and Electronic  Engineering (DIEE). He received the Ph.D. degree in Electronic and  Computer Engineering in 2007, working on Computer Vision algorithms and  software applied to Scanning Electron Microscope. He also supported  didactic activities. In the same year, he was awarded with an Italian  Government Grant, and he worked as a visiting researcher in the  Multimedia Communications and Networking Lab at the Hewlett-Packard  Laboratories, California, US. His research focused on photometric stereo  techniques applied to conventional flatbed scanners. Since November  2007 he has been part of the Visual Computing group of CRS4 (Center for  Advanced Studies, Research and Development in Sardinia). His research  interests have shifted towards Computer Graphics topics. In particular,  the primary focus is the development of algorithms for acquisition,  out-of-core processing, time-critical rendering and 3D printing of  massive models, mostly applied to large scale color and geometry  Cultural Heritage datasets. In 2013 he worked as a Postdoctoral  Associate Research Scientist in the Computer Graphics Group at the Yale  University. His research focused on 3D model scanning and processing,  and on multispectral imaging acquisition and document layout analysis  techniques applied to historical, handwritten medieval manuscripts.","post_title":"Ruggero Pintus","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ruggero-pintus","to_ping":"","pinged":"","post_modified":"2026-04-09 11:13:32","post_modified_gmt":"2026-04-09 09:13:32","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/ruggero-pintus\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>HPCCN - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/projects\/hpccn\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HPCCN - CRS4\" \/>\n<meta property=\"og:description\" content=\"The ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing promotes national and international-level innovation, building on a state-of-the-art infrastructure for computation and big data management.\u00a0 The Center focuses, on the one hand, on the maintenance and enhancement of the Italian HPC and Big Data infrastructure and, on the other hand, [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.crs4.it\/en\/projects\/hpccn\/\" \/>\n<meta property=\"og:site_name\" content=\"CRS4\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-02T10:32:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.crs4.it\/wp-content\/uploads\/HPCCN.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"80\" \/>\n\t<meta property=\"og:image:height\" content=\"60\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.crs4.it\/en\/projects\/hpccn\/\",\"url\":\"https:\/\/www.crs4.it\/en\/projects\/hpccn\/\",\"name\":\"HPCCN - 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