Computation.

The BIFI is one of the most relevant e-science centers in Spain, both as resource providers and for scientific users. Composed mainly by engineers and physicists, the Computing Area includes a wide range of activities such as technological research, user support, applied research, technology transfer and/or dissemination.

The BIFI houses the Aragón Supercomputing Center (Cesar), a computing infrastructure that encompasses a wide range of technologies: HPC (distributed and shared memory), grid, cloud, voluntary computing and dedicated computers.

The Computing Area is structured in four research lines:

  • Citizen Science
  • Data Analysis, Advanced Visualization and Technology Transfer
  • High Performance Computing and Cloud Computing (HPC-Cloud)
  • Special Purpose Computers

HPC computing resources offer several million hours of CPU and hundreds of terabytes of storage per year, to BIFI researchers (and their collaborators) and external users through the Spanish Supercomputing Network, the Hosted Clusters program and other services provided.

 

Cloud infrastructures also provide computing resources for a wide range of researches, which have specific or complementary requirements to those offered by HPC infrastructures. In addition to this, they also serve as a test bed for Spanish and European companies and SMEs, which are willing to adopt these technologies to improve their business model. Therefore, in recent years, we have focused our research and cloud infrastructures to help SMEs on how to take advantage of these powerful technologies.

In the research line of special purpose computers, we work on the design and construction of machines dedicated to solve very specific problems, like the awarded supercomputer JANUS, based on FPGAs and with relevant scientific results published.

BIFI is an international reference in citizen science activities and leads the volunteer computing project Ibercivis.

Contact Us

Citizen Science

Citizen Science

Head of the Research Line:

Jesús Clemente

Researchers:

Fermín Serrano
Francisco Sanz
Cristina Hernández
Mari Carmen Ibáñez

 

ibercivis_w

 

SUMMARY OF THE RESEARCH LINE

Citizen science is a research line that promotes the participation of society in science. The first project that emerged in this framework was Ibercivis, in which citizens may collaborate with basic research by sharing computational resources in their idle computer times.

Among the main objectives of this promising research line are to recognize the potential of citizen science and the role of society, as well as the importance of active participation of citizens in different activities of scientific nature. In recent years, contributions in this regard have been significantly increasing and have a great added value for researchers, in general. BIFI Institute supports and promotes this task, allowing citizens to make use of resources and computational infrastructure through different activities such as data analysis and the development of interesting experiments in diverse scientific fields. In this way, volunteers can engage in research and contribute to science.

Besides developing our own tools, citizen science projects and participatory experiments collaborating with researchers and citizens, the group has coordinated “Socientize”. This project proposed useful policy recommendations as an input for the strategy for Citizen or Public engagement in European science research activities in Horizon 2020. All these proposals are included in the White Paper on Citizen Science for Europe. Several Commission services (including DGs CONNECT, RTD and the JRC) are using this Paper as a reference document.

infraestructure

 

Relevant publications

1.- White Paper on Citizen Science for Europe.

2.- Socientize Consortium 2013. Green Paper on Citizen Science — Citizen Science for Europe: Towards a better society of empowered citizens and enhanced research, November, 2013.

3.- Cell Spotting: Educational and Motivational Outcomes of Cell Biology Citizen Science Project in the Classroom. Cândida G. Silva, António Monteiro, Caroline Manahl, Eduardo Lostal, Teresa Holocher-Ertl, Nazareno Andrade, Francisco Brasileiro, Paulo Gama Mota, Fermín Serrano Sanz, José A. Carrodeguas, Rui M. M. Brito (2015). JCOM – Journal of Science Communication – “Citizen Science” Special Issue (accepted for publication).

4.- SOCIENTIZE participatory experiments, dissemination and networking activities in perspective. Cândida G. Silva, Rui M. M. Brito, António Monteiro, José A. Farias Leal, Adabriand Furtado, Nazareno Andrade, Francisco Brasileiro, Paulo Gama Mota, Caroline Manahl, Teresa Holocher-Ertl, Manuel Pérez Alconchel, Eduardo Lostal Lanza, Carlos Val Gáscon, Francisco Sanz, Fermín Serrano Sanz (2014). Human Computation 1 (2), pp. 119-135.

5.- A Performance/Cost Evaluation for a GPU-Based Drug Discovery Application on Volunteer Computing. D. GUERRERO, Ginés; IMBERNON, Baldomero; PEREZ-SANCHEZ, Horacio; SANZ, Francisco; GARCIA, José M. and CECILIA José M. (2014). BioMed Research International Volume 2014 (2014), Article ID 474219.

6.- Adsorption of probe molecules in pillared interlayered clays: Experiment and computer simulation. A. Gallardo, J.M. Guil, E. Lomba, N.G. Almarza, S.J. Khatib, C. Cabrillo, A. Sanz, y J. Pires (2014). Journal of Chemical Physics 140, 224701.

7.- Heterogeneous networks do not promote cooperation when humans play a Prisoner’s Dilemma. GRACIA LAZÁRO, Carlos, FERRER, Alfredo, RUIZ, Gonzalo, TARANCÓN, Alfonso, CUESTA, José A., SÁNCHEZ, Ángel, MORENO, Yamir (2012). PNAS 109(32), pp. 12922–12926.

8.- Technical Note: An algorithm to calculate the tissue phantom ratio from depth dose in radiosurgery. RAMOS GARCÍA, Luis Isaac, ALMANSA,, Julio F. Medical Phisics, vol. 38, issue 5 (April 2011).

9.- Toward the Discovery of Functional Transthyretin Amyloid Inhibitors: Application of Virtual Screening Methods. SIMõES, Carlos J.V., MUKHERJEE, Trishna, BRITO, Rui M. M., JACKSON, Richard M. (2010). J. Chem. Inf. Model. 50 (10), pp 1806–1820.

10.- Searching for Anti-Amyloid Drugs with the Help of Citizens: the ‘AMILOIDE’ Project on the IBERCIVIS Platform. SIMõES, Carlos J.V., RIVERO, Alejandro, BRITO, R. M. M. (2010). ERCIM News 82, pp. 25-26.

 

Main research projects

1.- Ibercivis.

2.- Socientize.

3.- Open Digital Science.

4.- EGI Engage.

5.-Citizen Science Observatory.

6.- Science in your Mobile.

7.- Aqua .

 

Collaborators

  • José Alberto Carrodeguas
  • Rosa Arias
  • Natividad Miguel
  • Antonio Lafuente
  • Javier Borge-Holthoefer

 

http://www.ibercivis.es

Data analysis, advanced visualization and software development

Data analysis, advanced visualization and software development

Head of the Research Line:

Gonzalo Ruiz, gruiz@bifi.es

Researchers:

Alfredo Ferrer, aferrer@bifi.es

SUMMARY

The main goal of this team is to research and support research whenever software development or data analytics are involved in the process. To achieve this, one of the most important tasks carried out is the participation in projects in which we collaborate with companies or other research groups. These collaborations are focused on topics such as BigData, Machine Learning, Internet analysis, social networks, distributed computing, new technologies in education, etc. The levels of collaboration range from small contributions to local companies or research groups to international projects.

The other task that we carry out in the BIFI is to support those researches that are being carried out; improving and optimizing programs that already exist, and conducting consulting work on the best technologies and techniques for development.

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Relevant publications

1.- A. Blesa, D. Iñiguez, R. Moreno, G. Ruiz. Use of open data to improve automobile insurance premium rating. International Journal of Market Research 1 – 21 (2019). DOI: 10.1177/1470785319862734.

2.- F. Bauzá, G. Ruiz-Manzanares, L. Pérez-Sienes, A. Tarancón, D. Íñiguez and J. Gómez-Gardeñes. Analyzing the potential impact of BREXIT on the European research collaboration network. Chaos: An Interdisciplinary Journal of Nonlinear Science 30, 063145 (2020); DOI: 10.1063/1.5139019.

3.- M.M. Andrade-Campos et al. Identification of risk features for complication in Gaucher”s disease patients: A machine learning analysis of the Spanish registry of Gaucher disease. Orphanet Journal of Rare Diseases. 15 – 1, pp. 256 [11 pp]. 2020. ISSN 1750-1172. DOI: 10.1186/s13023-020-01520-7.

4.- Analysis of academic productivity based on Complex Networks. September 2015, R. Álvarez, E. Cahué, J. Clemente-Gallardo, A. Ferrer, D. Íñiguez, X. Mellado, A. Rivero, G. Ruiz, F. Sanz, E. Serrano, A. Tarancón, Y. Vergara. Scientometrics, September 2015, Volume 104, Issue 3, pp 651-672.

5.- RRLab: Remote Reality Laboratory to teach mechanics in schools. November 2013, Elisa Cauhé, Alfredo Ferrer, Gonzalo Ruiz, David Íñiguez, Alfonso Tarancón. Chapter 6 of the book “IT Innovative Practices in Secondary Schools: Remote Experiments”, Published by Deusto in 2013. ISBN: 978-84-15772-01-9

6.- Hadoop Cloud SaaS access via WS-PGRADE adaptation. November 2012, Elisa Cauhé, Arturo Giner, Jaime Ibar, Gonzalo Ruiz, Ruben Vallés. 6th IBERIAN GRID INFRASTRUCTURE CONFERENCE PROCEEDINGS Pages: 161-172 Published: 2013

7.- Heterogeneous networks do not promote cooperation when humans play a Prisoner‘s Dilemma. 8th June 2012, Carlos Gracia-Lázaro, Alfredo Ferrer, Gonzalo Ruiz, Alfonso Tarancón, José A. Cuesta, Angel Sánchez, and Yamir Moreno. PNAS, Vol. 109, no. 32.

8.- OptiWeb: An optimization application for steel cut industries ported to the Grid in the framework of PireGrid project. 5th May 2011, “Proceedings of the 5th IBERGRID. ISBN: 978-84-9745-884-9”

9.- Structural and Dynamical Patterns on Online Social Networks: The Spanish May 15th Movement as a Case Study. 30th July 2011, Javier Borge-Holthoefer, Alejandro Rivero, Íñigo García, Elisa Cauhé, Alfredo Ferrer, Darío Ferrer, David Francos, David Íñiguez, María Pilar Pérez, Gonzalo Ruiz, Francisco Sanz, Fermín Serrano, Cristina Viñas, Alfonso Tarancón, Yamir Moreno . PLoS ONE 6(8): e23883, 2011.

 

Main research projects

1.- “DEEP CODE: Deep Learning System for characterization of clients, prediction and decision making in the insurance sector”, Collaboration Challenges project with the company Codeoscopic S.A, with funding from the Ministry of Economy and Competitiveness.

2.- “OPTIWASTE – Machine learning models for forecasting and optimizing resources in waste management”, Collaboration Challenges project with the company Distromel S.A, with funding from the State Research Agency.

3.- We participate in the “Aragón Open Data” Project, developing the social part, which consists of collecting information from the Internet (social networks, press, etc.) related to Aragon and presenting it in a structured format through an API to provide users with citizens tools to make their own applications.

4.- Development of the application called Kampal, which creates and studies the networks formed by the members of the University of Zaragoza through their research and projects. The emphasis is on the relationships between people and the dynamics of interaction rather than individual properties.

 

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5.- Development of a platform that includes different didactic units focused on studying the Solar System through gestures thanks to the Microsoft Kinect device. These units were developed in collaboration with the Juan de Lanuza school in the context of its innovation class.

6.- Participation in SEPS, INNPACTO Project that tries to predict different types of risks in electrical networks, and study their impact if they occur. In this Project we collaborate with companies and research groups such as Gas Natural Fenosa, Telvent (currently Schneider Electric), the Carlos III University or the University of Lleida.

7.- RRLab (Remote Reality Laboratory): this Project, designed for educational purposes, consists of the creation of a web platform for conducting physics experiments remotely with the aim of allowing students to compare the theoretical results with reality.

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8.- Prisoner’s Dilemma Experiment: we developed a web platform to carry out collective experiments to study the behavior of people depending on the structure of their organization. This platform has been used to carry out two different experiments at the moment, and in one of them more than 1,300 students participated in real time. During the last years we have made different changes and improvements to the platform to study different parameters and variables and how they affect people’s behavior.

prisoner_dilemma

9.- Feelicity: it was a project developed with TEDxZaragoza for the geotagging of users’ happy moments.

feelicity2

10.- Collaboration in the Ibercivis Project carrying out different development tasks (visualization, web, customization of the BOINC client, etc.)

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11.- Participation in the STEREA Project “Optimization of Water Resources and Remote Irrigation Management” which consisted of one of the first web applications developed to manage the irrigation systems of different fields in order to optimize resources, reducing costs, and increasing productivity.

12.- Participation in the SCIBUS project of the FPVII framework program, whose objective was to create a generic-purpose portal with a series of tools to provide simple and transparent access to computing, data, network and service infrastructures in Europe, including clusters, academic and commercial supercomputers, grids, desktop grids, and clouds.

13.- Study of the 15M movement on Twitter: in this case, the group was in charge of different tasks related to the study such as visualization, data collection and processing, etc.

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14.- Optiweb: this project was developed in early 2011 in collaboration with the company Schnell Software, which consisted of optimizing one of its software products so that it used a GRID infrastructure in its execution, thus improving performance.

High Performance Computing and Cloud Computing (HPC- Cloud)

High Performance Computing (HPC)

Head of the Research Line:

David Íñiguez Dieste

Researchers:

Daniel Martínez Cucalón

John Díaz Laglera

Alfonso Tarancón Lafita

SUMMARY

The High Performance Computing and Cloud Computing (HPC-Cloud) group is structured around the following lines of work:

  • The participation in national and international projects related to HPC and Cloud technologies, as well as in discussion forums and integration of these technologies both in research and in companies.
  • The maintenance and support of BIFI’s supercomputing infrastructures, housed in the Aragón Supercomputing Center (CESAR). The group’s staff has extensive experience in management (operation, monitoring, accounting…) and support to users of large calculation systems for scientific use, as well as in the design and maintenance of data centers. The center houses two massively parallel supercomputers (CIERZO / CAESARAUGUSTA (III) and MEMENTO), the COLOSSUS cloud infrastructure, as well as other computing and data storage infrastructures.

 

cpd-hpc_bifi

  • To offer a quality calculation and storage service for Institute researchers and other external users. The calculation systems we manage offer several million hours of calculation and hundreds of terabytes of storage annually, both to BIFI researchers and their collaborators, as well as to external users through the Spanish Supercomputing Network, the Hosted Clusters program and others. services provided.
  • Other services: the porting, optimization and parallelization of applications. As an additional service to the basic support offered in the use of our supercomputers, we collaborate with our users to help them migrate and streamline their codes in the HPC environment.
  • To serve as a test bed for Spanish and European companies and SMEs that seek the adoption of new technologies to improve their businesses, offering computational resources under the IaaS (Infrastructure as a Service) paradigm, as well as collaborating in the development and integration of applications business to the cloud.
  • Training and dissemination. The group actively participates in these types of activities, teaching courses and tutorials, directing TFG / TFMs, tutoring company practices, managing guided visits to our facilities …
  • To participate in the main supercomputing networks at national and European level: RES (Red Española de Supercomputación), Ibergrid (Spain and Portugal) and EGI-FedCloud, which is one of the largest distributed infrastructures worldwide.

Main research projects

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1.- EuroCC. Creation of a European network of supercomputing centers at the service not only of research but also of companies. The project aims to promote national strengths in HPC competencies and fill existing gaps.

2.- EOSC-Synergy. Its objective is to expand the capabilities of EOSC (European Open Science Cloud) by taking advantage of the experience, effort and resources of national digital infrastructures funded with public funds.

3.- Cloudflow. European project in collaboration with the companies Nabladot and Biocurve. Improvement of the biomass boiler manufacturing process through adaptation of CFD (Computational Fluid Dynamics) software and deployment on the CloudFlow platform.

4.- FORTISSIMO. European project in collaboration with the company Schnell Software. Reinforcement cutting optimization in Cloud Computing environment.

5.- FORTISSIMO 2. European project focused on promoting the use of Cloud and Big Data technologies by companies, in collaboration with SMEs Nabladot and Kliux (in addition to the cloud provider Gompute).

5.- CloudSME (Simulation for manufacturing & engineering). European project in collaboration with the companies Inycom / Podoactiva. Migration of the 3D scanning system and template design to the CloudSME platform.

7.- SCC-Computing: establishment of a strategic collaboration with computer experts from China to develop the next calculation systems beyond Tianhe-1A (most powerful supercomputer in the world according to the top500 ranking in November 2010).

8.- EGI-Engage

9.- SCI-BUS (Scientific gateway Based User Support)

10.- AraGrid

11.- EGI-InSPIRE (European Grid Infrastructure)

12.- PireGrid

Special Purpose Computers

Special Purpose Computers

Head of the Research Line:

Sergio Pérez Gaviro

Researchers:

Alfonso Tarancón
David Iñiguez
Andrés Cruz
Luis Antonio Fernández
Victor Martín Mayor
Juan Jesús Ruíz Lorenzo
Antonio Gordillo
Javier Moreno Gordo

 

SUMMARY OF THE RESEARCH LINE

Computers have become an essential tool in our quotidian lives. Very simple daily mundane activities as buying a train ticket or sending someone a message require the use of conventional computers. Of course, they also play a very important role in more difficult tasks, such as bank transfers or power grid management for instance. On the other hand, computers have also made possible many advances in Science and nowadays are patently present in a very wide set of different scientific areas. Indeed, many institutions around the World spend a huge amount of money and human effort to build clusters of computers (see for example, www.top500.org/lists/ for a detailed ranked list of the most powerful supercomputers in the World).

For some specific problems, however, conventional computers are not enough. They would spend thousands of years to perform some particular calculations. So in the framework of supercomputing one finds the Special Purpose Computers, which are developed and designed to perform some specific computing-intensive calculation.

The development of this kind of supercomputers is in fact the objective of this research line. So, thanks to a very successful scientific collaboration between researchers from BIFI and the Universidad de Zaragoza, Universidad Complutense de Madrid, Universidad de Extremadura, Università degli Studi di Roma “La Sapienza” and Università di Ferrara, the Janus supercomputer was born in 2008. It is a modular, massively parallel, and reconfigurable FPGA-based computing system for High Performance Scientific Computing. Its reconfigurable architecture would permit Janus to afford different scientific computational applications, as in Physic, in Chemistry or in Biology. So far, the Janus Collaboration focused its efforts on the study and simulation of spin glasses, paradigm of complex systems.

Janus is composed by 16 boards. On each board, a bidimensional 4×4 grid of FPGA-processors is located and linked obeying periodic boundary conditions. Each of these processors is called SP (Simulation Processor) and carries on the simulations. A 17th FPGA is settled in the middle acting as a crossbar and called IOP (Inpu/Output Processor), in charge of all internal connections and external communications. All FPGA modules are Xilinx Virtex4-LX200.

The Janus II Special Purpose Computer is the new generation supercomputer located at BIFI from 2013. Following the same successful Janus philosophy, JanusII is composed again by 16 boards. On each board, 16 latest generation FPGA processors (Xilinx Virtex-7 XC7VX485T FPGA) are located and linked obeying periodic boundary conditions. They are called SP’s from “Simulation Processor”, since they will be in charge of the simulations. All SP’s on each board are controlled by a full fledged computer that we call CP (Control Processor), running the Linux operating system. These CP’s configure all FPGA processors for the simulations, controlling and monitoring their status. The CP uses a commercially available Computer-on-Module system (COM), based on an Intel Core i7 processor; it connects via the PCIe interface to a so-called Input-Output-Processor (IOP) built inside yet another FPGA. The IOP actually manages all connections to all SP’s, controlling the configuration procedure and their operation, and monitoring their status. The Janus II architecture includes also improved communications, permitting the interconnection between all boards, and it enlarges 100 times the memory available.

JanusII was built thanks to FEDER funds: Ministerio de Economía y Competitividad (Gobierno de España), Gobierno de Aragón, European Union.

More info: http://www.janus-computer.com

Relevant publications

1.-Janus Collaboration: M. Baity-Jesi; E. Calore; A. Cruz; L.A. Fernandez; J. M. Gil-Narvion; A. Gordillo-Guerrero; D. Iñiguez; A.  Maiorano; E. Marinari; V. Martin-Mayor; J. Monforte-Garcia; A. Muñoz Sudupe; D. Navarro; G. Parisi; S. Perez-Gaviro; F. Ricci-Tersenghi; J. J. Ruiz-Lorenzo; S.F. Schifano; B. Seoane; A. Tarancon; R. Tripiccione; D. Yllanes. “Aging rate of spin glasses from simulations matches experiments“, arXiv:1803.02264. Phys. Rev. Lett. 120, 267203 (2018).

2.-Janus Collaboration: M. Baity-Jesi; E. Calore; A. Cruz; L.A. Fernandez; J. M. Gil-Narvion; A. Gordillo-Guerrero; D. Iñiguez; A.  Maiorano; E. Marinari; V. Martin-Mayor; J. Monforte-Garcia; A. Muñoz Sudupe; D. Navarro; G. Parisi; S. Perez-Gaviro; F. Ricci-Tersenghi; J. J. Ruiz-Lorenzo; S.F. Schifano; B. Seoane; A. Tarancon; R. Tripiccione; D. Yllanes. “Matching Microscopic and Macroscopic Responses in Glasses“. arXiv:1704.07777. Phys. Rev. Lett. 118, 157202 (2017).

3.-Janus Collaboration: M. Baity-Jesi; E. Calore; A. Cruz; L.A. Fernandez; J. M. Gil-Narvion; A. Gordillo-Guerrero; D. Iñiguez; A.  Maiorano; E. Marinari; V. Martin-Mayor; J. Monforte-Garcia; A. Muñoz Sudupe; D. Navarro; G. Parisi; S. Perez-Gaviro; F. Ricci-Tersenghi; J. J. Ruiz-Lorenzo; S.F. Schifano; B. Seoane; A. Tarancon; R. Tripiccione; D. {\mbox Yllanes}. “A statics-dynamics equivalence through the fluctuation-dissipation ratio provides a window into the spin-glass phase from nonequilibrium measurements“. arXiv:1610.01418. Proc. Natl. Acad. Sci. USA vol. 114 no. 8, 1838-1843 (2017).

4.- Janus Collaboration: M. Baity-Jesi, R. A. Baños, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero, D. Iñiguez, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, J. Monforte-Garcia, A. Muñoz Sudupe, D. Navarro, G. Parisi, S. Perez-Gaviro, M. Pivanti, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, S. F. Schifano, B. Seoane, A. Tarancon, R. Tripiccione, D. Yllanes. “Janus II: a new generation application-driven computer for spin-system simulations”. arXiv:1310.1032. Computer Physics Communications 185, 550-559 (2014)

5.- Janus Collaboration: R. A. Banos, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero, M. Guidetti, D. Iniguez , A. Maiorano, F. Mantovani, E. Marinari , V. Martin-Mayor, J. Monforte-Garcia, A. Munoz Sudupe, D. Navarro, G. Parisi, M. Pivanti, S. Perez- Gaviro, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, S. F. Schifano, B. Seoane, A. Tarancon, R. Tripiccione, D. Yllanes. “An FPGA-based supercomputer for statistical physics: the ‘weird’ case of Janus”. Book Chapter in: “High-Performance Computing using FPGAs”, pp. 481-506 (2013), University of Glasgow, Publisher: Springer.

6.- Janus Collaboration: M. Baity-Jesi, R. A. Banos, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero, M. Guidetti, D. Iniguez, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, J. Monforte-Garcia, A. Munoz Sudupe, D. Navarro, G. Parisi, M. Pivanti, Perez-Gaviro, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, S. F. Schifano, B. Seoane, A. Tarancon, P. Tellez, R. Tripiccione, D. Yllanes. “Reconfigurable computing for Monte Carlo simulations: results and prospects of the Janus project”. arXiv:1204.4134, The European Physical Journal Special Topics 210, 33 (2012).

7.- Janus Collaboration: F. Belletti, M. Cotallo, A. Cruz, L. A. Fernandez, A. Gordillo, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, A. Muñoz-Sudupe, D. Navarro, S. Perez-Gaviro, M. Rossi, J. J. Ruiz-Lorenzo, S. F. Schifano, D. Sciretti, A. Tarancon, R. Tripiccione, J. L. Velasco. “JANUS: an FPGA-based System for High Performance Scientific Computing”. arXiv:0710.3535v2, Computing in Science & Engineering 11-1, 48-58 (2009).

8.- Janus Collaboration: F. Belletti, M. Cotallo, A. Cruz, L. A. Fernandez, A. Gordillo, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, A. Muñoz-Sudupe, D. Navarro, S. Perez-Gaviro, J. J. Ruiz-Lorenzo, S. F. Schifano, D. Sciretti, A. Tarancon, R. Tripiccione, J. L. Velasco. “Simulating spin systems on IANUS, an FPGA-based computer.” arXiv:0704.3573, Computer Physics Communications 178 (3), p.208-216, (2008).

9.- Janus Collaboration: F. Belletti, I. Campos, A. Cruz, L. A. Fernandez, S. Jimenez, A. Maiorano, F. Mantovani, E. Marinari, V. Martin- Mayor, D. Navarro, A. Muñoz-Sudupe, S. Perez Gaviro, G. Poli, J. J. Ruiz-Lorenzo, F. Schifano, D. Sciretti, A. Tarancon, P. Tellez, R. Tripiccione, J. L. Velasco. “Ianus: an Adaptative FPGA Computer.” arXiv:0507270, Computing in Science & Engineering, January/February 2006, Volume 8, N 1, p. 41.

10.- Janus Collaboration: M. Baity-Jesi, R.A. Baños, A. Cruz, L.A. Fernandez, J.M. Gil-Narvion, A. Gordillo-Guerrero, M. Guidetti, D. Iñiguez, A. Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, J. Monforte-Garcia, A. Muñoz-Sudupe, D. Navarro, G. Parisi, S. Perez-Gaviro, M. Pivanti, F. Ricci-Tersenghi, J. Ruiz-Lorenzo, S.F. Schifano, B. Seoane, A. Tarancon, P. Tellez, R. Tripiccione , D. Yllanes. “Spin glass simulations on the Janus architecture: A desperate quest for strong scaling”. Parallel Processing Workshops, Euro-Par 2012, LNCS Volume 7640 LNCS, 2013, Pages 528-537

11.- Janus Collaboration: M. Baity-Jesi, R. A. Banos, A. Cruz, L. A. Fernandez, J. M. Gil-Narvion, A. Gordillo-Guerrero, M. Guidetti, D. Iniguez, Maiorano, F. Mantovani, E. Marinari, V. Martin-Mayor, J. Monforte-Garcia, A. Munoz Sudupe, D. Navarro, G. Parisi, M. Pivanti, S. Perez- Gaviro, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, S. F. Schifano, B. Seoane, A. Tarancon, P. Tellez, R. Tripiccione, D. Yllanes. “Janus2: an FPGA-based Supercomputer for Spin Glass Simulations”. ICS12 Workshop proceedings (http://hpc.pnl.gov/conf/ICS2012/)

12.- Janus Collaboration: Belletti, F; Cruz, A; Fernandez, LA; Gordillo-Guerrero, A; Guidetti, M; Maiorano, A; Mantovani, F; Marinari, E; Martin- Mayor, V; Sudupe, AM; Navarro, D; Parisi, G; Perez-Gaviro, S; Ruiz-Lorenzo, JJ; Schifano, SF; Sciretti, D; Tarancon, A; Tripiccione, R; Yllanes,D. “Nonequilibrium spin glass dynamics with Janus”. AIP Conference Proceedings 1091 (2009) 228-230.

13.- Janus Collaboration: Belletti, F; Cotallo, M; Cruz, A; Fernandez, LA; Gordillo-Guerrero, A; Guidetti, M; Maiorano, A; Mantovani, F; Marinari, E; Martin-Mayor, V; Sudupe, AM; Navarro, D; Parisi, G; Perez-Gaviro, S; Rossi, M; Ruiz-Lorenzo, JJ; Saenz-Lorenzo, JF; Schifano, SF; Sciretti, D; Tarancon, A; Tripiccione, R; Velasco, JL; Yllanes, D; Zanier, G. “Monte Carlo simulations for statistical physics: Janus”. Proceedings Paper: Nuovo Cimento B 123 (2008) 972-974

14.- Janus Collaboration: F. Belletti, M. Cotallo, A. Cruz, L. A. Fernández, A. Gordillo, A. Maiorano, F. Mantovani, E. Marinari, V. Martín-Mayor, A. Muñoz-Sudupe, D. Navarro, S. Perez-Gaviro, M. Rossi, J. J. Ruiz-Lorenzo, S. F. Schifano, D. Sciretti, A. Tarancón, R. Tripiccione, J. L. Velasco. “IANUS: Scientific Computing on an FPGA-Based Architecture”. Parallel Computing: Architectures, Algorithms and Applications, Proceedings of the International Conference ParCo 2007 (C. Bishof, M. Buecker, P. Gibbon, G. Joubert, T. Lippert, B. Mohr, F. Peters editors), Publication Series of the John Von Neumann Institute for Computing, 38 (2007) 553-560. Reprinted in: Advances in Parallel Computing, 15 (2008), 553-560.

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