2023 Сборник Springer LNCS (полные англоязычные статьи)

 



3D seismic inversion for fracture model reconstruction based on machine learning
Maxim Protasov, Roman Kenzhin and Evgeniy Pavlovskiy

A computational model for interactive visualization of high-performance computations
Pavel Vasev

An algorithm for mapping of global adjacency lists to local numeration in a distributed graph in the GridSpiderPar tool
Evdokia Golovchenko

Application of HPC for simulation of sealant influence on the aircraft assembly process
Artem Eliseev, Sergey Lupuleac, Julia Shinder, Tatiana Pogarskaia and Margarita Petukhova

Application of the parallel matrix sweep method for modeling the heat and mass transfer of a two-phase fluid in a fractured-porous reservoir
Ravil Uzyanbaev, Viktoriia Podryga, Sergey Polyakov, Yuri Poveshchenko, Irek Gubaydullin, Yuliya Bobreneva and Pаrvin Rahimly

Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances
Oleg Sukhoroslov and Maxim Gorokhovskii

Block Algebraic Multigrid Method for Saddle-Point Problems of Various Physics
Kirill Terekhov and Igor Konshin

Classification of Cells Mapping Schemes Related to Orthogonal Diagonal Latin Squares of Small Order
Eduard Vatutin and Oleg Zaikin

Comparative Analysis of Digitalization Efficiency Estimation Methods using Desktop Grid
Alexander Bekarev and Alexander Golovin

Computational Efficiency of Iterative Methods for Solving Inverse Problems of Ultrasound Tomography
Alexander Goncharsky, Sergey Y. Romanov and Sergey Seryozhnikov

Computer Memory Requirements for Matrix-Forming Approach for Global Stability Analysis of Fluid Flows
Kirill Belyaev, Andrey Garbaruk and Valentin Golubkov

Construction of Locality Aware Algorithms to Optimise Performance of Stencil Codes on Heterogeneous Hardware
Vadim Levchenko and Anastasia Perepelkina

CubicEoS.jl: extensible, open-source isothermal phase equilibrium calculations for fluids
Stepan Zakharov and Vasily Pisarev

Development of components for monitoring and control intelligent information system
Dmitry Balandin, Oleg Kuzenkov and Альберт Эгамов

Diagonalization and canonization of Latin squares
Eduard Vatutin, Alexey Belyshev, Natalia Nikitina, Maxim Manzuk, Alexander Albertian, Ilya Kurochkin, Alexander Kripachev and Alexey Pykhtin

Efficiency and accuracy of high-performance calculations of the electrostatic energy of thin films atomistic clusters
Fedor Grigoriev, Vladimir Sulimov and Alexander Tikhonravov

Field-split iterative solver vs direct one for quasi-static Biot equation
Sergey Solovyev and Vadim Lisitsa

GPU-accelerated matrix exponent for solving 1D time-dependent Schrödinger equation
Yea Rem Choi and Vladimir Stegailov

How to Make Lanczos-Montgomery Fast on Modern Supercomputers?
Dmitry Zheltkov, Nikolai Zamarashkin and Sergey Matveev

Image segmentation algorithms composition for obtaining accurate masks of tomato leaf instances
Ivan Zhuravlev and Andrey Makarenko

Implementation of dusty gas model based on fast and implicit particle-mesh approach SPH-IDIC in open-source astrophysical code Gadget-2
Tatiana Demidova, Tatiana Savvateeva, Sergey Anoshin, Vitaliy Grigoryev and Olga Stoyanovskaya

Jobs Scheduling for Distributed Resources with Group Dependencies and Availability Uncertainties
Victor Toporkov, Dmitry Yemelyanov and Artem Bulkhak

Julia programming language application for molecular dynamics trajectory processing
Vasily Pisarev and Mikhail Panov

Methods and algorithms for intelligent video analytics in the context of solving problems of precision pig farming
Vsevolod Galkin and Andrey Makarenko

Methods for creating a training dataset for a numerical dispersion mitigation neural network
Elena Gondyul, Vadim Lisitsa, Kirill Gadylshin and Dmitry Vishnevsky

Multi-node GPU-enabled pseudo-spectral solver for turbulence problems
Rodion Stepanov, Soumyadeep Chatterjee, Manthan Verma and Mahendra Kumar Verma

Multicriteria optimization of chemical reactions using interval analysis. Parallel scheme for implementing the computational process
Kamila Koledina, Irek Gubaydullin

Nucleic acid-protein interaction prediction using geometric deep learning
Elizaveta Geraseva and Andrey Golovin

Parallel Algorithm for Incompressible Flow Simulation Based on the LS-STAG and Domain Decomposition Methods
Valeria Puzikova and Ilia Marchevsky

Parallel algorithm for source type recovering by the Time Reversal Mirror
Anastasiia Galaktionova and Galina Reshetova

Parallel Numerical Implementation 3D wave hydrodynamics and SWAN models
Alexander Sukhinov, Elena Protsenko and Sofya Protsenko

Parallel numerical simulation of sonic log for 3D heterogeneous TTI media
Vladimir Cheverda, Victor Kostin, Vadim Lisitsa and Galina Reshetova

Probabilistic modeling of the behavior of a computing node in the absence of tasks on the project server.
Khrapov Nikolay and Posypkin Mikhail

Quantum-Chemical Study of Some Tris(pyrrolo)benzenes and Tris(pyrrolo)-1,3,5-triazines
Vadim Volokhov, Elena Amosova, Vladimir Parakhin, David Lempert and Ivan Akostelov

Recognition of medical masks on people's faces in difficult decision-making conditions
Oleg Miloserdov and Andrey Makarenko

Reduced precision computations in the SL-AV global atmosphere model
Mikhail Tolstykh, Gordey Goyman, Ekaterina Biryucheva, Vladimir Shashkin and Rostislav Fadeev

Scalability of the INM RAS Earth System Model
Rostislav Fadeev, Maria Tarasevich, Andrew Sakhno, Andrey Gritsun and Evgeny Volodin

Simulation of Free-Surface Fluid Dynamics: Parallelization for GPUs
Alexander Khoperskov, Alexander Asrankulov, Sergey Khrapov and Egor Savin

Software package USPARS for large sparse system of linear equations
Dmitry Bykov, Victor Kostin and Sergey Solovyev

Supercomputer search for coagulation factor XIIa inhibitors at the Chinese National Compound Library
Kutov Danil, Alexey Sulimov, Anna Tashchilova, Ivan Ilin and Vladimir Sulimov

Supercomputer Technologies for Ultrasound Nondestructive Imaging of Low-contrast Defects in Solids
Eugene Bazulin, Alexander Goncharsky, Sergey Y. Romanov and Sergey Seryozhnikov

The Effect of Data Structuring on the Parallel Efficiency of the HydroBox3D Relativistic Code
Igor Chernykh, Elena Akimova, Vladimir Misilov and Igor Kulikov

The Efficiency Optimization Study of a Geophysical Code on Multicore Computing Architectures
Anna Sapetina and Boris Glinskiy

Using Virtualization Approaches to Solve Deep Learning Problems in Voluntary Distributed Computing Projects
Ilya Kurochkin and Veleriy Papanov

Validity and limitations of the supervised learning for phase transition research
Diana Sukhoverkhova, Vladislav Chertenkov, Evgeni Burovski and Lev Shchur

Workflows of the High-Throughput Virtual Screening as a Service
Natalia Nikitina and Evgeny Ivashko