The first researchers were hired, with direct call, from CERN (Pietro Zanarini), the University of Chicago (Gianluigi Zanetti), Princeton (Kanthan Pillay), the École polytechnique fédérale de Lausanne (Sandro Massidda), IBM of Kingston, New York (Giorgina Corongiu and Lorenzo Pisani), Cerfacs of Toulouse (Riccardo Scateni), the University of Konstanz (Bruno D’Aguanno),..Read More

1993: signing of the first industrial research contract with a major company in the field of geophysical imaging for seismic prospecting. The activities, carried out by the Parallel Computing group, aim to introduce in the industrial context the technologies of concurrent computing through the implementation of a series of prototypes..Read More

With this fax begins the project that will lead to the online publication of the first European newspaper a few months later. Below is an excerpt from the book "Gazzette digitali. L'informazione locale sulla Rete globale", Andrea Bettini, ed.it, 2011 PZ: Everything was born out of a mixture of serendipity,..Read More

Researchers at CRS4, under the guidance of Gianluigi Zanetti, and in collaboration with Stéphane Zaleski (Pierre et Marie Curie University in Paris), develop new techniques for multiphase fluids based on Navier-Stokes equations, for example to simulate air and liquid fuel mixtures with explicit interface tracking. The work has had a..Read More

Luca Manunza, then a member of the CRS4’s Computational genomics group, headed by Gianluigi Zanetti, on February 20th, 1995 released publicly the code with which he created the first web-mail. The web-mail was not developed in the framework of the research project Manunza was working on, but thanks to the..Read More

CRS4 develops Search in Italy: the first Italian search engine dedicated to Italian web sites. Search in Italy, created by Gavino Paddeu (at the time in the SciViz group) contained an archive of 106,337 web pages that were periodically downloaded from the 660 Italian web servers existing at the time. The..Read More

With the European Project Trisee the CRS4, along with Italian and European partners, promotes an innovative activity aimed to simulate the soil-structure interaction effects in the presence of earthquakes and man-made vibrations. These large-scale computational problems require a double effort, both for the development of optimized numerical algorithms and the..Read More

In 1997 Carlo Rubbia involved CRS4 in the Energy Amplifier Project (also called Rubbiatron): a subcritical fast nuclear reactor (Accelator Driven System) coupled to a particle accelerator and cooled with liquid lead, able to use as fuel the radioactive waste produced by traditional nuclear reactors, together with thorium, a widely..Read More

1998: Carlo Rubbia involves CRS4 in the Project 242: a study for a nuclear propulsion engine using Americium 242 for deep space travel. CRS4 took part in the preliminary design and sizing of the propulsion system, performing fluid-dynamic simulations and the simulations of the emission of nuclear fuel fission fragments,..Read More

1999: within the second industrial research contract for geophysical imaging, the Parallel Computing  group realizes a 3D depth migration application in the frequency domain so efficient it is transferred from the industrial partner's R&D department to the production one, overcoming the competition of commercial products. This result lays the foundation..Read More

CRS4 develops one of the first multilingual GIS (Geographic Information System) web systems in Italy: SITAI (a GIS for the industrial areas of Sardinia), one of the first multilingual Web GIS in Italy. The system was developed by Eva Lorrai and Andrea Giacomelli using data from the Industrial Observatory of..Read More

2002 In the framework of the Topical Team sponsored by the European Space Agency and coordinated by Giacomo Cao, at that time responsible of the Chemical Processes and Materials group at CRS4, the latter one has given a significant contribution, together with the researcher Massimo Pisu, to the design of..Read More

The "CRS-3D" software wins the prestigious "Eni Technology Award". The application, developed by the "Imaging and Numerical Geophysics" group of CRS4 for the reconstruction and regularization of seismic data based on the geometric modeling of the emerging wavefront, is still referred to by the specialists of the sector as an..Read More

2003 - CRS4 moves to building 1 of the Pula headquarters of the Science and Technology Park of Sardinia. From the start, the Centre constitutes the Park’s computational backbone, as well as the largest company.

On 15 January 2004, CRS4 filed the patent "Apparatus and method for heat extraction through a solar pond" later published on 16 July 2004, authored by Nicola Cabibbo, Erminia Leonardi, Luca Maciocco and Marco Rosa-Clot. Under the proposed extraction method, the deep layer of the Solar Pond flows slowly while..Read More

In 2004 Carlo Rubbia presents to the President of the Regional Council, Mauro Pili, the "Trinomial Project: Sardinia-Solar Power-Hydrogen", which aims to produce hydrogen from renewable source (Concentrating Solar power). This was accompanied by a "Proposal for a feasibility study to make Sardinia energy and water independent" by designing thermal..Read More

Many of our visual computing technologies have been incorporated over the years into real-time simulators for various purposes. In 2005, a cataract surgery simulator with visual and tactile feedback was developed for surgical training. The simulator has been used in several training courses in Italy. The images shows a cataract..Read More

In 2006, the CRS4, together with the University of Cagliari, started an intense research activity focused on the development of new cost-effective processes for the industrial scale exploitation of microalgae photosynthesis with the production of biofuels and simultaneous CO2 capture. More recently, the attention of the Center has focused on..Read More

Thanks to the wide capabilities of integration between different devices such as cell phones, PDAs, tablets and PCs, the potential of the network is exploited in order to find additional information. This information, associated in real time with the video content provided by the mediacenter, are displayed on the TV..Read More

CRS4, in collaboration with the Oxford University and important industries like Fujitsu, Hofmann-Laroche, GSK, Novartis, takes part to the preDiCT project (EU FP7 ICT). Novel methods are dveloped for the simulation of the electrical activity of the heart in order to study in-silico side effects of drugs during the clinical..Read More

On 14 November 2008, a partnership between the Brotzu Hospital in Cagliari and CRS4 launched a real-time telemedicine project for congenital heart disease, through an innovative system based on low-cost open technologies, tested for the first time ever in Sardinia. The system enables the execution of an ultrasound scan with..Read More

Pydoop is an efficient and extremely simplified programming interface layer on top of Hadoop, while offering native compatibility with the full suite of Python tools for data science. Thanks to its flexible and efficient implementation, Pydoop proved to be an enabling technology for many other data-intensive activities. It formed the..Read More

Since the early 2000s, CRS4 has dedicated considerable efforts to data and process modeling through open formalisms, to technical and semantic interoperability among clinical domains, and to the creation of scalable systems for collaborative analysis and reuse of available information. In the health sector, CRS4 joined in 2010 the Technical..Read More

In 2012, the European Association for Computer Graphics entrusts CRS4 with the organization of the 33rd edition of the Eurographics annual international conference, Europe's leading scientific event in the field of Computer Graphics. The conference, held in Cagliari from 14 to 18 May, was attended by over 400 researchers from all over..Read More

CRS4 was a pioneer in the use of the MapReduce programming paradigm for the scalable processing of sequencing data. Among its various contributions in this context, CRS4 produced one of the early programs that used this paradigm to compute the DNA sequence mapping and identify duplicate sequences due to the..Read More

On 5 February 2013, CRS4 filed a national patent application for a "Procedure and device for the control of a concentrating solar power system with several towers with heliostats", later published on 7 August 2014, authored by Marco Cogoni and Erminia Leonardi. The aim of the invention is to improve..Read More

The Digital Mont'e Prama project aims to document, archive and present to the public the large and unique collection of prehistoric statues of the Mont'e Prama complex. Leveraging synergies with several other international research activities, the CRS4 Visual Computing group has studied, developed and applied new technologies for the complete..Read More

CRS4 starts scientific and technological collaboration with the Luna Rossa Prada Pirelli sailing team, which will last until 2020. CRS4 contributed its expertise in high-performance computing, innovative broadband networks for geographical area connectivity, sensor technology and radio infrastructure for data transmission for real-time boat monitoring during sailing races.

CRS4 has been a pioneer in the development of enabling technologies for the interpretation of data generated by NGS sequencing instrumentation and their use to identify the genetic variants underlying certain diseases. As an example of this activity, the image (taken from: A. Masotti, P. Uva, et al Keppen-Lubinsky Syndrome..Read More

CRS4 (Education Technologies) starts a partnership with the Regional Department of Education, which continues to this day, through the project Tutti a iscol@. In the first year of the project, CRS4 helped to plan and deliver a program of extracurricular technology workshops for the schools of Sardinia. In all, more..Read More

CRS4's Next Generation Sequencing Core Facility reaches in 2016 a throughput of 10 TBase/month, becoming the largest in Italy, with 1 x Illumina HiSeq3000, 1 x Illumina HiSeq2500, 2 x Illumina HiSeq2000 and 1 x Illumina MiSeq. The platform is directly connected to the CRS4 large scale computational resources. This infrastructure,..Read More

The automatic reconstruction of three-dimensional models from acquired data, whether images or 3D point clouds, has been one of the central themes of computer graphics and computer vision for several decades. In this field, CRS4 has introduced various cutting-edge visual computing technologies, using both geometric reasoning and deep learning approaches..Read More

2017 - The portable system "Rapid e-LTE emergency solution", provided to the National Fire Brigade by the Joint Innovation Center under the collaboration between Huawei and CRS4, is used in the rescue operations at Rigopiano to transmit voice and data, including images, in an attempt to identify survivors. The system captures..Read More

CRS4 researchers have created the first models of genomic information through the openEHR formalism, leading an international collaboration with other research groups. openEHR is an international consortium that for over 15 years, through the issuance of technical specifications, data models and software, provides standardized tools for the semantic and computable..Read More

After introducing in 2008 the first adaptive method capable of interactively visualizing static volumes of potentially unlimited size, CRS4 Visual Computing researchers made further progress by introducing various state-of-the-art compression methods (2012), in particular using sparse coding and tensor decomposition. In 2019, a further evolution of these methods led to..Read More

CRS4 presents the interactive model of the nuraghe Genna Maria realized within the project of museum accessibility Over the View . The project Over the View is funded by the regional agency Sardegna Ricerche.

In 2020 CRS4 participated in the DIMASDIA-COVID19 project. One of the activities aimed at diagnosing COVID19 by means of lung X-ray analysis. Deep learning AI was able to classify lung X-rays with a good degree of accuracy, distinguishing between bacterial, non-Covid and Covid viral pneumonia. The research was conducted by..Read More