Note: NVIDIA will end the GPU Education Center program on 31st of December 2016. We would like to thank them for supporting us so far.

Visual computing landscape is evolving at an impressive pace.

See available courses and workshops

Demand for compute power in many branches of science and engineering is ever-increasing.

Learn about our research work

GPU computing is going mainstream and finding applications in industry.

Interested in consulting services?

It is University's role to talk about advancements made possible by new technologies.

Find upcoming public events


Parallel Programming on Heterogeneous Systems is an elective course offered in the third year undergraduate single major informatics, consting both of lectures and hands-on laboratory exercises.

Learn more about PPHS

GPU Education Center Workshop consists of hands-on laboratory exercises. It is organized on a yearly basis, and open to all university staff. Students can also apply; please check below for more details.

Next workshop will take place in University of Rijeka Departments Building on September 17th, 2015.

Apply for workshop


  • E-Learning Activities Recommender System

    E-Learning Activities Recommender System (ELARS) is an educational recommender system that predicts student's preference of e-learning activities. Optimization of preference prediction is done using CUDA.

    Learn more about ELARS

  • Prototype WDM Network Simulator

    Prototype WDM Network Simulator (PWNS) is a network simulator based on ns-3 that provides models for optical network components. Optimization of routing and wavelength assignment is done using CUDA.

    Learn more about PWNS

  • Development of human DNA methyltransferase Dnmt1 inhibitor

    DNA methylation is a fundamental mechanism in functional organization of the human genome. Using CUDA-enabled NVIDIA GPU with open-source computational chemistry software, we have developed in-silico a set of potential inhibitors of human DNA methyltransferase Dnmt1.

    Learn more about Dnmt1

  • Your project?

    Have a research project idea or an ongoing project?
    Think it could benefit from GPU computing?
    We would like to hear about it.

    Get in touch with us


Are you considering investments in heterogeneous systems with CPUs and GPUs, but aren't sure if they will perform well on your application? Or perhaps comparing CPU-only systems against GPUs in terms of performance, cost and power efficiency? We can help you decide.

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Vedran Miletić

Department of Informatics
Faculty of Engineering

Božidar Kovačić

Department of Informatics

Željko Svedružić

Department of Biotechnology
Faculty of Medicine

Kristijan Lenac

Faculty of Engineering

Luka Vretenar

Department of Informatics
Faculty of Engineering