August 2021 - EuroCC Montenegro

On the 31^st of August 2021 at the Univeresity of Donja Gorica a seminar called “University in the future of miracles” whose creator is professor Veselin Vukotic, rector of the University, was held. The idea of the seminar is to engage into discussion and exchange of ideas about books which were given on the recommendation of professor Vukotic:

“The AI Economy: Work, Wealth and Welfare in the Age of the Robot”, Roger Bootle;
“Superconnected: internet, digitalni mediji i tehno-društveni život”, Mary Chayko;
„Change “, Richard Gerver.

The book chosen for the first seminar was “The AI Economy: Work, Wealth and Welfare in the Age of the Robot” by Roger Bootle. The presenters had the opportunity to share their thoughts and ideas about the book as well as engage into discussions with all present.

The AI Economy by R. Bootle wat the first book discussed at the Seminar

According to the planned agenda, the introductory speech was given by professor Vukotic, after which the chosen presenters continued. Short introductory presentations were given by: Zoran Djikanovic PhD, Ivana Ognjanovic PhD and Luka Lakovic MSc.

The seminar was attended by around 70 professors and associates of UDG.

Members of our EuroCC Montenegro team will be presenting the paper titled “Combined adaptive load balancing algorithm for parallel applications”, authored by L. Filipovic, B. Krstajic, and T. Popovic, at the upcoming IcETRAN 2021 conference. The conference will be taking place on Sep 8-10, 2021. More info on the conference is available at the following link.

ABSTRACT – Development and improvement of efficient techniques for parallel task scheduling on multiple cores processors is one of the key issues encountered in parallel and distributed computer systems. The purpose of process distribution improvement in parallel applications is in increased system performance, reduced application execution time, reduced losses and increased resource utilization.

This paper presents combined adaptive load balancing algorithm based on domain decomposition and master-slave
algorithms and its core scheduling adaptive mechanism that handles load redistribution according obtained and analyzed data. Selection of distribution algorithm, based on collected parameters and previously defined conditions, proved to deliver increased performances and reduced imbalance. Results of simulations confirm better performance of proposed algorithms compared to the standard algorithms reviewed in this paper.

Month: August 2021

Seminar – University in the Future of Miracles, The AI Economy

UDG researchers will be presenting a paper at IEEE IcETRAN 2021 Conference