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ivannikov Memorial Workshop (IVMEM)

作者： Anna Chistyakova Maria Cherepnina Konstantin Arkhipenko Sergey D. Kuznetsov Chang-Seok Oh Sebeom Park Lomonosov Moscow State University Moscow Russia Ivannikov Institute for System Programming of the RAS Moscow Russia Moscow Institute of Physics and Technology (State University) Moscow Russia Plekhanov Russian University of Economics Moscow Russia Samsung Research Seoul South Korea

ISBN: (纸本)9781665423281

Adversarial training is considered the most powerful approach for robustness against attacks on deep neural networks involving adversarial examples. However, recent works have shown that the similar robustness level can be achieved by other means, namely interpretability-based regularization. We evaluate these interpretability-based approaches on real-world ResNet models trained on CIFAR-10 and ImageNet datasets. Our results show that interpretability can marginally improve robustness when combined with adversarial training, however, they bring additional computational complexity making these approaches questionable for such models and datasets.

关键词： Training Deep learning Computational modeling Conferences Neural networks Robustness Computational complexity

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Assessment of Turbulent Wake Behind two Wind Turbines Using Multi-Fractal Analysis

Assessment of Turbulent Wake Behind two Wind Turbines Using ...

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ivannikov ISPRAS Open Conference (ISPRAS)

作者： Arina Kryuchkova Jackson Tellez-Alvarez Sergei Strijhak Jose M. Redondo Russian Academy of Sciences Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia Department of Civil and Environmental Engineering Technical University of Catalonia BarcelonaTech Barcelona Spain Department of Physics Technical University of Catalonia BarcelonaTech Barcleona Spain

In this paper we present preliminary results of the multi-fractal analysis for describing the behavior of turbulence evolution in the wake behind two model wind turbines using the program ImaCal. The wind energy is an important component of renewable energy sources. Nowadays the research community focuses on studying the turbulent wakes behind wind turbines and its interactions with the Atmospheric Boundary Layer. For finding the fractal dimension a multi-fractal analysis was performed using the results of a numerical simulation of the flow over two model wind turbines. The latter was carried out by means of the Large Eddy method with the Lagrangian Dynamic Smagorinsky subgrid model. The SOWFA library was employed as a part of OpenFoam software to perform the simulation.

关键词： Wind turbines Blades Mathematical model Computational modeling Atmospheric modeling Software Poles and towers

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Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability

Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds D...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Vanessa Miranda-López Andrei Tchernykh Mikhail Babenko Viktor Kuchukov Maxim Deryabin Elena Golimblevskaia Egor Shiryaev Arutyun Avetisyan Raul Rivera-Rodriguez Gleb Radchenko El-Ghazali Talbi CICESE Research Center Ensenada Mexico North-Caucasus Federal University Stavropol Russia Ivannikov Institute for System Programming Moscow Russia Moscow Russia South Ural State University Chelyabinsk Russia University of Lille 1 and INRIA Lille France

ISBN: (数字)9781728144849

ISBN: (纸本)9781728144856

Cloud storages delivered as services are made available to the general public. As cloud storage provider prices become low, they have moved into the mainstream of storage technology. However, there are various factors that cause many potential users do not use it intensively. There exist high risks for confidentiality, integrity, and availability violation associated with the loss of information, denial of access, technical failures, etc. In this article, we propose a two-level secret sharing scheme (TL-SSS) based on a residue number system (RNS) for a configurable, reliable, and secure distributed data storage. RNS moduli of a special type increase the reliability of the data storage system and reduce the computational complexity of the data encoding and decoding from linear-logarithmic to linear. TL-SSS is the weighted data access structure. It creates and distributes data shares according to the characteristics of the cloud storages under various scenarios. We provide a solution that improves system reliability without reduction of the security level. In contrast to classical solutions, it can restore the data with less available shares than the state-of-the-art approaches.

关键词： Cloud computing Cryptography Reliability Decoding Memory Encoding

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Using the iceFoam solver to simulate ice accretion process on a swept wing with GLC-305 airfoil

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AIP Conference Proceedings 2023年第1期2504卷

作者： K. B. Koshelev A. V. Osipov S. V. Strijhak Ivannikov Institute for System Programming of the Russian Academy of Sciences 109004 Moscow Russia

The paper discusses the capabilities of the iceFoam solver for modeling the ice accretion processes for various swept wing profiles and 3D swept wing. The Euler-Lagrangian approach is used to describe the gas-droplet medium. To determine the shape of ice, the model of a liquid film according to the shallow water theory is used. Three different version of solver iceFoam are discussed. The features of the solver algorithm for parallel computations are explained. The numerical cases with swept wing were run for “Rime Ice” and “Glaze Ice”. The distribution of ice thickness and temperature were defined for swept wing with GLC-305 airfoil using iceDyMFoam3. The calculation results are compared with the data of experiments by M. Papadakis. The computations were run on the high-performance cluster UNIHUB of ISP RAS, HPC Kurchatov institute.

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Using a thermodynamic film model based on shallow water theory and a dynamic mesh model for the icing of 2D/3D bodies in the iceFoam solver simulation

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AIP Conference Proceedings 2021年第1期2351卷

作者： S. V. Strijhak K. B. Koshelev V. G. Melnikova Ivannikov Institute for System Programming of the Russian Academy of Sciences 109004 Moscow Russia

The study of icing processes on elements of an airplane, helicopter, UAV, wind turbines, and power line wires is an urgent task in connection with flight safety and reliable operation of ground equipment. The features of the numerical simulation of multicomponent reactive mixture flow using the iceFoam solver were considered. The Euler-Lagrangian approach was used to describe the behavior of the two-phase flow with air and liquid droplets. The specifics of the construction of the project on the basis of the computation of the liquid film model for the conditions of the experimental setup for the 2D cylinder and NACA0012 airfoil are discussed. The results of computations of the main parameters of the ice accretion process are given, the efficiency of the iceFoam solver for parallel simulation on two different grids was shown. The computations were run on the high-performance cluster UNIHUB of ISP RAS.

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Multi-Agent Approach for Dynamic Elasticity of Virtual Machines Provisioning in Heterogeneous Distributed Computing Environment

Multi-Agent Approach for Dynamic Elasticity of Virtual Machi...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Alexander Feoktistov Ivan Sidorov Andrei Tchernykh Alexei Edelev Valery Zorkalzev Roman Kostromin Sergey Gorsky Igor Bychkov Arutyun Avetisyan Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Matrosov Inst. for Syst. Dynamics & Control Theor. Irkutsk Russia Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow Russia Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia

ISBN: (纸本)9781538678800

We address dynamic elasticity issues of VM provisioning in a heterogeneous distributed computing environment that integrates resources of a data center. We consider the scenario when the center includes dedicated resources (private cloud) for providing virtualized service and non-dedicated resources for Grid-computing. Existing platforms for the resource virtualization does not support management of such an infrastructure. We propose an approach to a job management based on the dynamic elasticity of virtual machines provisioning using resources of both types. We develop the multi¬agent job scheduler for dedicated resources and hypervisor shell to launch virtual machines through queues of resource management systems in non-dedicated resources. The scheduler provides a dynamic elasticity of virtual machine provisioning. Advantages of the offered approach to the resource virtualization are demonstrated by an example of a job flow management for a scalable application to solve the complicated practical problem. It is related to the energy security of Vietnam. Provided experiments show that using the developed tools together with the platform for the resource virtualization enables agents to significantly speed up the problem-solving process.

关键词： Cloud computing Resource management Dynamic scheduling Virtual machine monitors Elasticity Virtual machining

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Application of reactingCentralFOAM for modeling processes in combustion test chamber

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AIP Conference Proceedings 2018年第1期2027卷

作者： K. B. Koshelev S. V. Strijhak Ivannikov Institute for System Programming of the Russian Academy of Sciences 109004 Moscow Russia

Features of numerical simulation of multicomponent reactive mixture flows using the OpenFOAM package reactingCentralFoam solver are considered. The specifics of the construction of the project on the basis of the calculation of the combustion of the oxygen-hydrogen mixture for the conditions of the experimental setup “Penn State Pre-burner Combustor” are discussed. The results of computations of the main parameters of the combustion process are given, the efficiency of the applied solver is shown.

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Mathematical Model of Gas Dilution in Two Phases Flows of Fluid and Gas

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Journal of Physics: Conference Series 2019年第1期1392卷

作者： Levin, Mikhail P Ivannikov Institute for System Programming of the Russian Academy of Sciences 109004 Moscow Russia

Various models of solubility of gas in two-phase ows of gas and liquid are considered. Such phenomena play an important role in various technical devices especially at modern nuclear power plants. Mathematical models of bubble ows with gas dissolution, gas phase model, and model of liquid phase dissolution were considered and discussed.

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Development of OpenFOAM Solver for Compressible Viscous Flows Simulation Using Quasi-Gas Dynamic Equations

Development of OpenFOAM Solver for Compressible Viscous Flow...

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ivannikov ISPRAS Open Conference (ISPRAS)

作者： Matvey V. Kraposhin Daniil A. Ryazanov Elena V. Smirnova Tatiana G. Elizarova Maria A. Istomina Ivannikov Institute for System Programming of Russian Academy of Sciences Moscow Russia Dept. of wave and gas dynamics Lomonosov Moscow State University Moscow Russia Bauman Moscow State Technical University Moscow Russia Keldysh Institute of Applied Mathematics (Russian Academy of Sciences) Moscow Russia

Results of QGD (quasi-gas dynamics) equations approximation using OpenFOAM Finite Volume Method library are presented. The new developed solver QGDFoam compared to standard OpenFOAM solver rhoCentralFoam. Two approaches for the approximation of QGD terms are considered and compared - (1) least square method and (2) face normal derivative. Qualitative analysis showed that the first approach is more accurate compared with the second one and is preferable for reproducing complex shock interactions during unsteady flow. It was shown that the second approach produces the solution, similar to rhoCentralFoam solver with upwind interpolation. Being more diffusive than rhoCentralFoam solver with TVD schemes, QGDFoam, allows, however, to reproduce flows at wider Mach number range without introducing too much numerical diffusion comparing to upwind interpolation. Parallel scalability of developed solver has been checked. It scales for meshes down to approximately 1000 cells per node.

关键词： Mathematical model Face Numerical models Viscosity Interpolation Heating systems Shape

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Studying parameters of turbulent wakes for model wind turbines

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AIP Conference Proceedings 2018年第1期2027卷

作者： S. V. Strijhak K. B. Koshelev A. S. Kryuchkova Ivannikov Institute for System Programming of the Russian Academy of Sciences 109004 Moscow Russia

The wind energy is an important part of renewable energy. The wind farms can operate in various climatic conditions on a large territory of Russian Federation. The features of numerical simulation of turbulent flows using the OpenFOAM package and SOWFA library are considered. The mathematical model has the equations for mass, momentum and energy conservation for incompressible flow. Large-eddy simulation has been applied in the context of wind turbines operation. Lagrangian-averaged scale-independent dynamic Smagorinsky model is used. Two solvers ABLSolver and pisoFoamTurbine have been used for simulations. The results of computations for two test cases (2 and 12 wind turbines) with definition of the main flow parameters are given, the efficiency of the applied solver is shown.

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