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HPC Resources of the Higher School of Economics
Journal of Physics Conference Series · 2021 · Vol. 1740(1) · pp. 012050–012050
Pavel S. Kostenetskiy✉(National Research University Higher School of Economics)Roman Chulkevich(National Research University Higher School of Economics)Vyacheslav Kozyrev(National Research University Higher School of Economics)
Abstract
Abstract The National Research University Higher School of Economics launched its HPC cluster and created a new division named the Supercomputer Simulation Unit. Now the university HPC cluster occupies seventh place in rating the most powerful computers of the CIS TOP50. The HPC cluster uses to solve machine learning problems, population genomics, hydrodynamics, atomistic and continuous modeling in physics, generative probabilistic models, financial row forecasting algorithms, and other actual problems. Paper describes the HSE HPC resources and experience of their use for scientific and educational tasks.
Scientific Computing and Data ManagementDistributed and Parallel Computing SystemsComputational Physics and Python ApplicationsSupercomputerComputer scienceCluster (spacecraft)Probabilistic logicPopulationUnit (ring theory)Generative grammarData scienceMathematics educationArtificial intelligence
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