International conference “Parallel Computational Technologies 2022″ started at JINR
News, 29 March 2022
On 29 – 31 March, the Meshcheryakov Laboratory of Information Technologies is hosting the 16th international scientific conference “Parallel Computational Technologies (PCT) 2022″ aimed to develop and employ parallel computing technologies and machine learning in various areas of science and technology. At the event, participants will consider the issues related to supercomputer modeling in bioinformatics, unified supercomputer infrastructure, parallel computing, computational mathematics, and supercomputer modeling.
Welcoming participants at the opening of the conference, JINR Director RAS Academician Grigory Trubnikov expressed gratitude to conference partners: industrial companies that continue supporting fundamental research in the fields of information technologies and parallel computing.
”Since information technologies are one of the fastest growing fields of knowledge, our main task here is to keep up with the world progress,” Grigory Trubnikov noted. “Every two years we double productive capacity as well as the volume of stored and processed data. One of the most ambitious goals that we have set for ourselves by 2025 — 2026 is the transition from existing 100-400 gigabits per second data transfer rate to 1,000 gigabit per second and even higher rate.”
Grigory Trubnikov presented a report on the JINR scientific programme and the Institute’s history. Speaking about the JINR Information and Computing Complex, the JINR Director emphasised the fact that the centre includes one of the best supercomputers in Russia and one of the world’s best data processing, analysis, and storage systems. JINR implements unique projects to combine not only different architectures, such as the Tier-1 centre, the cloud storage, supercomputers, computer clusters, but also information clusters of the Member States into a unified supercomputer computing infrastructure.
He spoke about a promising project being implemented by algorithmists, physicists of MLIT, BLTP, and FLNR on the creation of quantum algorithms for particular tasks of the Institute. “One of such tasks is the calculation of nuclear stability boundaries,” Grigory Trubnikov explained. “The calculation of complex relativistic systems with several hundred nucleons. For example, element 118 oganesson has 300 protons and neutrons in total, and several dozen electrons on the shell. The relativistic effect of electrons on the last shells has a certain impact on the nucleus properties. Currently, the quantum algorithm to calculate the boundaries of nuclear matter existence is actively developing with the support of the Ministry of Science and Higher Education of the Russian Federation, the Russian Academy of Sciences. It is being developed primarily by these three laboratories, as well as our long-term partners from MSU, SPBU, Israel, France, and Germany.”
The conference “Parallel Computational Technologies 2022″ will last until 31 March. On the first day of the event, participants of the plenary meeting discuss supercomputer technologies, artificial intelligence, and big data, the Intel architecture and technologies for high-performance computations, as well as the use of various processor architectures in a single computing complex.
Sections of the conference are devoted to the topics of supercomputer modeling in bioinformatics, unified supercomputer infrastructure (USI), and administering supercomputers, design techniques, and optimization of parallel programs, computational mathematics, supercomputer modeling in physics and chemistry, hydraulic gas dynamics and heat transfer modelling.
JINR experts will lecture on the implementation of the USI at the supercomputer “Govorun”, the experience of using the USI to generate and reconstruct the events of the MPD experiment, the state, and prospects for the development of the JINR Computing Complex.
At the end of the conference, the winners of the competition of young scientists’ reports will be awarded.
The conference is organised by the Ministry of Science and Higher Education of the Russian Federation and the HPC Consortium of Russian Universities.