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Supercomputing

9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25–26, 2023, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Vladimir Voevodin

    1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

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  2. Sergey Sobolev

    1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

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  3. Mikhail Yakobovskiy

    1. Russian Academy of Sciences (RAS), Keldysh Institute of Applied Mathematics, Moscow, Russia

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  4. Rashit Shagaliev

    1. Russian Federal Nuclear Center, Sarov, Russia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14389)

Included in the following conference series:

Conference proceedings info: RuSCDays 2023.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xix
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  2. Distributed Computing

    1. Front Matter

      Pages 1-1
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    2. Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances

      • Oleg Sukhoroslov, Maksim Gorokhovskii
      Pages 3-20

    3. Classification of Cells Mapping Schemes Related to Orthogonal Diagonal Latin Squares of Small Order

      • Eduard Vatutin, Oleg Zaikin
      Pages 21-34

    4. Comparative Analysis of Digitalization Efficiency Estimation Methods Using Desktop Grid

      • Alexander Bekarev, Alexander Golovin
      Pages 35-47

    5. Diagonalization and Canonization of Latin Squares

      • Eduard Vatutin, Alexey Belyshev, Natalia Nikitina, Maxim Manzuk, Alexander Albertian, Ilya Kurochkin et al.
      Pages 48-61

    6. Probabilistic Modeling of the Behavior of a Computing Node in the Absence of Tasks on the Project Server

      • Khrapov Nikolay, Posypkin Mikhail
      Pages 62-76

    7. Using Virtualization Approaches to Solve Deep Learning Problems in Voluntary Distributed Computing Projects

      • Ilya Kurochkin, Valeriy Papanov
      Pages 77-90

    8. Workflows of the High-Throughput Virtual Screening as a Service

      • Natalia Nikitina, Evgeny Ivashko
      Pages 91-102

  3. HPC, BigData, AI: Algorithms, Technologies, Evaluation

    1. Front Matter

      Pages 103-103
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    2. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

      • Maxim Protasov, Roman Kenzhin, Evgeniy Pavlovskiy
      Pages 105-117

    3. A Computational Model for Interactive Visualization of High-Performance Computations

      • Pavel Vasev
      Pages 118-133

    4. An Algorithm for Mapping of Global Adjacency Lists to Local Numeration in a Distributed Graph in the GridSpiderPar Tool

      • Evdokia Golovchenko
      Pages 134-146

    5. Construction of Locality-Aware Algorithms to Optimize Performance of Stencil Codes on Heterogeneous Hardware

      • Vadim Levchenko, Anastasia Perepelkina
      Pages 147-161

    6. Development of Components for Monitoring and Control Intelligent Information System

      • Dmitry Balandin, Oleg Kuzenkov, Albert Egamov
      Pages 162-177

    7. Image Segmentation Algorithms Composition for Obtaining Accurate Masks of Tomato Leaf Instances

      • Ivan Zhuravlev, Andrey Makarenko
      Pages 178-194

    8. 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, Olga Stoyanovskaya
      Pages 195-208

    9. MDProcessing.jl: Julia Programming Language Application for Molecular Dynamics Trajectory Processing

      • Vasily Pisarev, Mikhail Panov
      Pages 209-222

    10. Methods and Algorithms for Intelligent Video Analytics in the Context of Solving Problems of Precision Pig Farming

      • Vsevolod Galkin, Andrey Makarenko
      Pages 223-238

    11. Nucleic Acid-Protein Interaction Prediction Using Geometric Deep Learning

      • Elizaveta Geraseva, Andrey Golovin
      Pages 239-251
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Other volumes

  1. Supercomputing

  2. Supercomputing

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About this book

The two-volume set LNCS 14388 and 14389 constitutes the refereed proceedings of the 9th Russian Supercomputing Days International Conference (RuSCDays 2023) held in Moscow, Russia, during September 25-26, 2023.

The 44 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 104 submissions. The papers have been organized in the following topical sections: supercomputer simulation; distributed computing; and HPC, BigData, AI: algorithms, technologies, evaluation.

 


Editors and Affiliations

  • Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin, Sergey Sobolev

  • Russian Academy of Sciences (RAS), Keldysh Institute of Applied Mathematics, Moscow, Russia

    Mikhail Yakobovskiy

  • Russian Federal Nuclear Center, Sarov, Russia

    Rashit Shagaliev

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