Ruđer Bošković Institute (RBI)

Ruđer Bošković InstituteBijenička cesta 5410000, Zagreb, Croatia

Research group:
Centre for Informatics and Computing   (CIR)Director:Prof. Karolj Skala, PhD

Ruđer Bošković Institute

Bijenička cesta 54

10000, Zagreb, Croatia


Institution Background

Founded in 1950, the Ruđer Bošković Institute (RBI) is the largest and most renowned scientific institution in Croatia regarding the fields of natural and technical sciences. Today, the Ruđer Bošković Institute has over 550 scientists and researchers in more than 80 laboratories spread over 11 divisions and 3 centres pursuing research in theoretical and experimental physics, physics and materials chemistry, electronics, physical chemistry, organic chemistry and biochemistry, molecular biology and medicine, sea and environment, informational and computer sciences, laser and nuclear research and development. RBI is strongly oriented on the international cooperation and participation in the EU Framework Programmes. It has participated in a numerous FP6 and FP7 projects, with 42 finished and more than 10 active projects. RBI, in addition to a range of experimental computer and computer-interconnected equipment has significant experience in all aspects of computer science and electronics, including scientific research, rapid prototyping design, and development.



Research Group Background

The Centre for Informatics and Computing (Croatian acronym: CIR) is established in 2002 and is currently composed of senior research scientist, research scientists, PhD students and technical associates. CIR focuses on parallel and distributed computing systems, process modelling by intelligent computer systems and was involved in several distributed computing related projects such as FP 6&7: SEEGRID 1&2, SEEGRID-SCI, EGEE. These cover areas of meta-computing technology, distributed computing testbed, high throughput computing, virtual laboratory, e-Science services, and data mining. Currently, CIR is involved into 4 international projects: E2LP, SCI-BUS, Marie-Curie AIS-DC, and CloudMan with the specific focus on the development of the cloud technologies, big data processing, scalable high-performance algorithms for hybrid computing architectures based on the GPUs and the scientific visualization. CIR also participated in the COST Action IC0805 “ComplexHPC”. During the previous work CIR has established strong cooperations with some well-known international research centres and universities such as Emory and Boston Universities in USA, Jožef Stefan Institute, University Jaume I, Medical University Innsbruck and University of Melbourne.


Prof. Karolj Skala is on the head of Centre for Informatics and Computing Science and a senior scientific advisor at the Ruđer Bošković Institute in Zagreb. At the University of Zagreb is full professor and teaches courses: Optoelectronic and Visualization Systems, Multimedia communications, and Programmable logic systems. He has led large number of national scientific and technological projects. He is initiator of the CRO GRID national program from which emerged CRO NGI. He participated in the European Community projects: COST 254, COST 276, COST IC0805 and COST IC1305 from Croatia. He successfully completed five EU FP 6, seven EU FP7 projects. He implemented the eScience technology in Croatia and works towards eInfrastrukture connecting with ERA (Eurpean Research Area). Launched a series of eScience research services.

Scientific and professional work includes 89 journal and conference papers, 45 professional works, one published book, co-authored three books for workshops, one university textbook , edit 19 Proceedings books, and led the 27 graduate students. Member of the Croatian Academy of Sciences and an associate member of the Hungarian Academy of Sciences.


Major Interest in Action Scientific Topics

  • Programming models for novel computing architectures
  • Efficient big data processing on cloud infrastructures
  • New models suitable for the out-of-core problems
  • Sustainable hybrid CPU-GPU computing for very large problems
  • DataFlow computing with FPGA accelerators
  • Ultrascale eigensolvers for large dense eigenproblems
  • Power optimization and energy efficiency in large scale systems