JOINT INSTITUTE FOR NUCLEAR RESEARCH
MESHCHERYAKOV LABORATORY OF INFORMATION TECHNOLOGIES
The 11th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2025)
7 – 11 July, 2025
Dubna, Russia
The International Conference "Distributed Computing and Grid Technologies in Science and Education" will be held at the Meshcheryakov Laboratory of Information Technologies (MLIT) of the Joint Institute for Nuclear Research (JINR) on 7 – 11 July 2025.
The forthcoming conference will be the 11th one organized by the JINR Meshcheryakov Laboratory of Information Technologies starting from 2004. The GRID’2025 conference is dedicated to the 115th anniversary of the birth of M.G. Meshcheryakov (1910-1994) and to the 95th anniversary of the birth of N.N. Govorun (1930-1989), prominent scientists and the Corresponding Members of the USSR Academy of Sciences. GRID’2025 is also dedicated to the 70th anniversary of the Joint Institute for Nuclear Research and to the 60th anniversary of the Meshcheryakov Laboratory of Information Technologies.
Since the GRID’2004 conference, distributed computing and grid technologies have gone far beyond the academic interest. At present, these technologies allow federated computing centers around the world to provide resources to highly distributed user communities. Modern technologies require the development of high-performance and high-throughput computing. The coverage of these activities encompasses not only various fields of natural sciences, but also business and industry. Over the last years, the implemented distributed computing model has enabled the solution of a wide range of tasks, involving the processing of an enormous amount of data.
The previous GRID conference (http://grid2023.jinr.ru) was attended by more than 280 scientists (210 – in person, over 70 – remotely) from research centers of Azerbaijan, Armenia, Belarus, Bulgaria, the Czech Republic, Egypt, Germany, Georgia, Iran, Kazakhstan, Mexico, Moldova, Mongolia, Serbia, Switzerland and Uzbekistan. Russia was represented by participants from 40 universities and research centers. The conference was organized in eight sessions, where issues associated with the development of distributed computing technologies, cloud technologies, heterogeneous computing, Big Data analytics, machine learning and quantum information processing were discussed. The GRID’2023 program embraced two workshops. One of them was devoted to the issue of modeling and creating digital twins for new generation reactors. The second workshop was about computing for radiobiology and medicine. In addition, there were held round tables on the development of IT education with the participation of numerous representatives of universities and on the RDIG-M (Russian Data-Intensive Grid Certificate Authority) distributed infrastructure for data processing, storage and analysis within large-scale scientific projects in Russia. The Conference Proceedings were published in the Physics of Elementary Particles and Atomic Nuclei journal.
The main purpose of the Conference is to discuss the current Grid operation and the future role of distributed and cloud computing, HPC, Big Data, etc. in Russia and worldwide. The Conference provides a platform for talking over recent results and establishing contacts for closer cooperation in the future.
Conference topics:
1. Distributed Computing Systems, Grid and Cloud Technologies, Storage Systems: architectures, operation, middleware and services.
2. High Performance Computing
3. Application software in HTC and HPC
4. Computing for MegaScience Projects
5. Methods and Technologies for Experimental Data Processing
During the conference, there will be held round tables and workshops, the topics of which will be announced later.
The programme of the Conference comprises plenary reports in English (30 min), sectional reports (15 min) in English or Russian.
Conference languages – English and Russian.
The information about registration, abstract submission and conference fee will be given in the second announcement.
