Czestochowa University of Technology


Czestochowa University of Technology
Dabrowskiego 69
42-201 Czestochowa
Poland
 
cut1
Research group:
Parallel Computing, Distributed Systems and Computer Networks
Director:
Prof. Roman Wyrzykowski
Czestochowa University of Technology
Institute of Computer and Information Sciences (ICIS)
Dabrowskiego 69
42-201 Czestochowa, Poland
cut2

Institution Background

Founded in 1949, Czestochowa University of Technology (CzUT) is the largest state university in the region. The university currently has six faculties with about 14.000 students, and about 1500 teaching and research staff.CzUT offers a wide range of study programs covering topics such as computer science, mathematics, physics, mechanical, materials and civil engineering, telecommunication and electrical engineering, environmental engineering and biotechnology, economics and related areas. In nationwide rankings of the state institutions of higher education, the University is among the top universities in Poland of a similar profile.The University is involved in cooperation with universities and research institutions world-wide,within the framework of research and education initiatives. In particular, CzUTtakes an active part in the 7th Framework Programme, and in numerous COST and the Norwegian Financial Mechanism projects, see the webpage of the University (www.pcz.pl) for more information.

 

Research Group Background

The research group Parallel Computing, Distributed Systems and Computer Networks”, located in the Institute of Computer and Information Sciences and led by Prof. Roman Wyrzykowski, currently consists of 11 researchers, including 8 PhD. The group focuses on research in parallel and distributed computing, with a special emphasis on parallelization of numerical codes. It has wide experience in parallelization of scientific and engineering applications in modern computing systems, as well as in developing innovative grid and cloud infrastructures. In particular, an object-oriented package NuscaS has been developed for the 3D finite element analysis using computing clusters. Another example is rewriting the EULAG geophysical model for the efficient utilization of hybrid multi-/manycore architectures with accelerators like GPUs or Intel Xeon Phi. Currently the group is actively pursuing the project “MICLAB – Pilot laboratory of manycore systems” financed by EU structural funds. The group coordinated the development of the first Polish academic cloud within the framework of the PLATON project covering 22 partners located accross the country. The PLATON cloud is still being developed within the MAN-HA nationwide project. The group also has had cooperation with industrial partners, including Intel and IBM.

 

Roman Wyrzykowski is Professor of Computer Science at the Czestochowa University of Technology, where he holds the Institute of Computer and Information Sciences since 2001. He is also the Director of Metropolitan Area Network (MAN) in Czestochowa. His fields of expertise are: parallel and distributed computing, computer networks, cluster and cloud technologies with applications. He is a member of the Committee of Computer Science of Polish Academy of Sciences. He was the coordinator of the Polish National Grid Project ClusteriX (1993-96), and PLATON national cloud project (2009-2012). Currently he is the coordinator of the project “Methods and algorithms for organization of computations in the class of anelastic numerical models for geophysical flows on modern computer architectures with realization in the EULAG model” funded by the National Science Centre. He supervised 10 PhD students. Since 1994 he has been the Chair of PPAM series of international conferences, one of leading European conferences in the area of parallel/distributed computing and its applications. He has edited the proceedings of the last six conferences (from 2001 to 2013) published in the LNCS series.

 

Major Interest in Action Scientific Topics

  • Parallelization methods for numerical applications in ultrascale environmennts, with a special emphasis on scheduling, load balancing and autotuning issues
  • Hierarchical programming models for ultrascale
  • Run-time systems for cloud environments
  • Sustainable data management in ultrascale systems
  • Energy efficient computing
  • Applications of numerical modelling and simulation in computational fluid dynamics, and particularly in numerical weather prediction