Information Retrieval is a wide often loosely-defined term, but usually it is concerned only with automatic information retrieval systems. An information retrieval system does not inform (i.e. change the knowledge of) the user on the subject of his inquiry. It merely informs on the existence (or non-existence) of documents relating to his request.

The Information Retrieval group was formed in 2001 with the aim of developing and/or improving some of the steps of the construction of an information retrieval system. Initially the group was formed by José Ranilla whose research was focused on Machine Learning and Irene Díaz who worked in Information Retrieval techniques applied to Software Engineering. In 2002 Elías F. Combarro joined the group.


Parallel Computing extends to systems with more processors to obtain speedup in code execution. The efficiency and effectiveness of the parallelism are largely dependent on the problems to be solved and the architecture. The recent availability of advanced-architecture computers has had a significant impact on all spheres of scientific computation including algorithm research and software development in numerical linear algebra.

The Parallel Computing group was formed in 1998 with the initial aim, but not exclusive, of work in Parallel Neville Elimination. Neville elimination is a method to solve a linear equation system which appears naturally when the Neville strategy of interpolation is used for resolving lineal systems. Initially the group was formed by Pedro Alonso, Raquel Cortina and José Ranilla.


In 2004 both groups were fused with the aim of resolving the goals of the project ORIPI: Parallel and Intelligent Organization and Retrieval of Information (Spanish Government, TIN-2004-05920, 2004-2007). Now, we are working in project DisCoSound: Distributed and Collaborative Sound Signal Processing: algorithms, tools and applications (Spanish Government, TEC2012-38142-C04, 2013-2015).