This Spanish National CENIT project aims to develop an optimized, technologically and methodologically advanced infrastructure for the Finance industry that will mean a radical break and advance from the exiting banking architectures. The development of this new infrastructure will be based on open standard paradigms and Grid computing technology with the help of artificial intelligence techniques. The result will be the definition and creation of an environment that will support collaboration and will be flexible enough to adopt new regulations dynamically. The final impact of this project is foreseen to be an integral management banking system will be introduced in national and international markets.

• INDRA
• Caja Madrid
• Sun Microsystems Ibérica
• GridSystems
• Daedalus
• Universidad Autónoma de Madrid
• Universidad Politécnica de Madrid: Grupo Internet de Nueva Generación
• Universidad Politécnica de Madrid: Grupo de Sistemas Inteligentes
• Universidad Politécnica de Madrid: Sistemas de Tiempo real y Arquitecturas de Servicios Telemáticos
• Universidad Politécnica de Valencia: Grupo de Redes y Computación de Altas Prestaciones (GRyCAP)
• Universidad Carlos III de Madrid: Departamento de Teoría de la Señal y de las Comunicaciones

The main objective of this CENIT project is the creation of a multidisciplinary platform formed by industrial partners and research centers, both clinic and technology-oriented, in order to create a system that will optimize the methods used in the transfer of research results, but focusing mainly on e-Health-related projects. The consortium will first and foremost center in the technologies used in molecular medicine, more specifically in molecular imaging and the biotechnology processes involved in the development of molecules. As a secondary strategic purpose, the consortium will also study those technologies that use multimodal image analysis and treatment in the diagnosis and healing processes.

• SUINSA
• Real Academia de Ciencias
• BioTools
• CIBASA
• BARNATRON
• CETIR
• RGB-Medical
• General Electric
• Hospital Gregorio Marañón
• Centro Nacional de Investigaciones Oncológicas
• Centro de Investigación del Cáncer (Salamanca)
• Universidad Politécnica Madrid
• Universidad Complutense
• Universidad Politécnica Valencia
• Universidad Nacional de Educación a Distancia
• Instituto de Óptica, CSIC
• Universidad Carlos III
• IDIBAPS (Hospital Cliníc)
• Philips Sistemas Médicos
• Silicon Graphics
• Guidant
• GridSystems
• UDIAT
• Alma IT Systems
• CETIR Group Mèdic
• Centro Cardiovascular Sant Jordi
• Universitat Pompeu Fabra
• Hospital Clinic de Barcelona, Centro de Diagnóstico por Imágen
• Hospital Clinic de Barcelona, Instituto del Torax
• Universitat de Girona
• Barcelona Supercomputing Centre Universidad Nacional de Educación a Distancia
• Instituto de Óptica, CSIC
• Universidad Carlos III
• IDIBAPS (Hospital Cliníc)

This project was a study to integrate the calculations of partially derived equations from a supercomputing model to an internet-oriented-components platform, as well as to evaluate the commercial applications of such development. This type of calculations is commonly used in the manufacturing sector. Industries such as Aeronautics and Automobile use numeric simulation in their design and production processes. The goal of this study was the possibilities and the benefits the emerging Grid computation could bring to this scenario. This project showed that Grid technology could be successfully pushed into these industrial sectors. As a follow-up of this project, we are currently participating in the 6th Framework Programme projects IPAS and CODES.

This industrial project focused on studying computational methods to integrate finance instruments, distributed computing and grid technology, based on a flexible and scalable platform solution. Currently GridSystems is able to integrate several financial applications into InnerGrid (like an Excel Connector and a VaR application). The commercial follow-up of this project has already produced sales in the financial sector in Spain and the UK.

This viability study found ways to introduce supercomputing in the atomistic simulation of materials. DFT (Density Functional Theory) is one of the most popular approaches to quantum mechanical many-body electronic structure calculations of molecular and condensed matter systems. The grid-enabling of several products that run atomistic simulation, such as SIESTA, WIEN, Gaussian, etc., were analyzed and the results were promising. As a commercial follow up, a customer was established in the pharmaceutical sector in Japan who makes use of the Grid-enabling of Gaussian.

Genetic Algorithms (GAs) include a family of heuristic search methods and computational models designed after Darwin’s principle on natural selection. GAs are applied to processes that involve job/task scheduling or resource planning. The genetic algorithms that were best parallelized were those based on the calculation involving multiple populations. Currently, commercial follow-ups of the projects are under study, although we need to find specialized partners.

This project was an investigation of data mining techniques and genetic algorithms used for credit risk management in credit and investment firms and how these processes could be optimized through grid computing. Of all the techniques analyzed, the best results were obtained with tree models. This project, as a complement of GridHPCsf project, has contributed to the establishment of InnerGrid as a Grid middleware for the financial sector.

The main goal of CardiUS3D was the development of novel tools for real-time quantitative assessment of the cardiac function from 3D ultrasound (3DUS) image sequences. The result robustly obtained in real-time a geometric model of the heart from 3DUS sequences that allowed the computation of clinical indexes related to the anatomy and function of the heart. As a follow-up of this project, we have established a solid partnership with the Computational Imaging Lab of the UPF, and we are currently members of the @neurIST consortium.