Università della Calabria (UNICAL)

Università della Calabria
Via Pietro Bucci 42C
87036 Rende (CS)
Research group:
Grid Computing Laboratory
Prof. Domenico Talia
Via P. Bucci 41C
87036, Rende (CS), Italy

Institution Background

 Funded in 1972, University of Calabria (UNICAL) is a public institution recently ranked among the first medium-size Italian universities. UNICAL offers about fifty degree courses and about forty university diploma courses. It is organized in 12 Departments. Teaching staff is composed of more than 900 persons including full professors, associate professors and assistant professors. Most of the departments have achieved international standards, as the existence of many post-graduate doctorates demonstrates. Much research is financially supported by external private and public organizations. Often research projects are developed in collaborations with other prestigious institutions in Europe and overseas. UNICAL is also making great efforts in promoting the development of the Region both at national and international level. More than 60 professors are affiliated with the Department of Informatics, Modeling, Electronics, and Systems (DIMES), where research activities in electronics, telecommunications, research operations, system modeling and computer engineering are carried out. Research teams of DIMES participate in several European and national projects. Active research areas in computer engineering are databases, programming languages, cloud computing, logic programming, peer-to-peer, knowledge discovery and data mining, XML, and distributed systems.


Research Group Background

 The Grid Computing Laboratory research group is part of DIMES and Prof. Domenico Talia leads it. The group consists of 7 people plus master students in computer engineering. It was formed in 2001 and is active in the areas of parallel computing, grid computing, cloud computing, peer-to-peer systems, mobile computing, distributed data mining, distributed knowledge discovery, data Integration in distributed systems, and social data analysis. The research team is involved in national and European projects in these areas and is active in the research community by contributing to conferences and workshops organization and journals scientific board membership.


Major Interest in Action Scientific Topics

  • Parallel models for ultrascale computing systems.
  • Programming methodologies for exascale computing.
  • Sustainable data management for ultrascale systems.
  • Scalable data analysis tools and applications for exascale systems.
  • Business applications of ultrascale computing.