The Sergei Godunov computer complex, named after the famous Soviet and Russian mathematician, was put into operation at the S. L. Sobolev Institute of Mathematics of the Siberian Branch of the Russian Academy of Sciences (IM SB RAS). The installation and testing of the system was carried out by specialists from the RSK group of companies.
The supercomputer is based on the high-density and energy-efficient RSK Tornado platform with liquid cooling. Each of the nodes in the system is equipped with two Intel Xeon Ice Lake-SP processors with 38 cores operating at a base frequency of 2.4 GHz. The cluster performance at the time of launch is 54.4 Tflops.
It is expected that the HPC complex will help improve the efficiency of scientific research and contribute to the development of new technologies. Among the areas of application of the supercomputer are: medical electroacoustic tomography; modeling of epidemiological, environmental, economic and social processes; computational aerohydrodynamics and optimization problems of turbulent flows; modeling and construction of scenarios for the development of the biosphere-economy-society system, taking into account carbon-free and sustainable development and climate change; solving inverse problems of geophysics by a direct method based on the Gelfand-Levitan-Krein approach.”
It is noted that installation and commissioning work within the project was carried out in a short time – within 3.5 weeks. In the future, the capabilities of the system will expand. In particular, in 2024 it is planned to carry out modernization, which will allow
“We have the opportunity to solve multidisciplinary problems, model large-scale processes and predict the behavior of complex mathematical systems. The supercomputer carries out calculations on critically important problems and tasks facing the Russian Federation,” notes Andrei Mironov, acting director of the Institute of Institute of Mathematics SB RAS.
In general, the launched complex is the main tool for conducting research and applied developments in the Novosibirsk academic campus and creating a technological platform under the auspices of the Scientific Council of the Department of Mathematical Sciences of the Russian Academy of Sciences for mathematical modeling of the spread of epidemics, taking into account social, economic and environmental processes.
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