
Supercomputing
9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023, Revised Selected Papers, Part II
Springer (Publisher)
Published on 5. January 2024
Book
Paperback/Softback
XIX, 332 pages
978-3-031-49434-5 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
30 s/w Abbildungen, 99 farbige Abbildungen
XIX, 332 p. 129 illus., 99 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
534 gr
ISBN-13
978-3-031-49434-5 (9783031494345)
DOI
10.1007/978-3-031-49435-2
Schweitzer Classification
Other editions
Additional editions

Vladimir Voevodin | Sergey Sobolev | Mikhail Yakobovskiy
Supercomputing
9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023, Revised Selected Papers, Part II
E-Book
01/2024
Springer
€80.24
Available for download
Content
Distributed Computing:
Benchmarking DAG Scheduling Algorithms on Scientific Workflow Instances.- Classification of Cells Mapping Schemes Related to Orthogonal Diagonal Latin Squares of Small Order.- Comparative Analysis of Digitalization Efficiency Estimation Methods using Desktop Grid.- Diagonalization and Canonization of Latin Squares.- Probabilistic Modeling of the Behavior of a Computing Node in the Absence of Tasks on the Project Server.- Using Virtualization Approaches to Solve Deep Learning Problems in Voluntary Distributed Computing Projects.- Workflows of the High-Throughput Virtual Screening as a Service.-
HPC, BigData, AI: Algorithms, Technologies, Evaluation:
3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning.- A Computational Model for Interactive Visualization of High-Performance Computations.- An Algorithm for Mapping of Global Adjacency Lists to Local Numeration in a Distributed Graph in the GridSpiderPar Tool.- Construction of Locality-Aware Algorithms to Optimize Performance of Stencil Codes on Heterogeneous Hardware.- Development of Components for Monitoring and Control Intelligent Information System.- Image Segmentation Algorithms Composition for Obtaining Accurate Masks of Tomato Leaf Instances.- Implementation of Dusty Gas Model Based on Fast and Implicit Particle-Mesh Approach SPH-IDIC in Open-Source Astrophysical Code GADGET-2.- MDProcessing.jl: Julia Programming Language Application for Molecular Dynamics Trajectory Processing.- Methods and Algorithms for Intelligent Video Analytics in the Context of Solving Problems of Precision Pig Farming.- Nucleic Acid-Protein Interaction Prediction Using Geometric Deep Learning.- Parallel Algorithm for Incompressible Flow Simulation Based on the LS-STAG and Domain Decomposition Methods.- Parallel Algorithm for Source Type Recovering by the Time Reversal Mirror.- Recognition of Medical Masks on People's Faces in Difficult Decision-making Conditions.- Use of Different Metrics to Generate Training Datasets for a Numerical Dispersion Mitigation Neural Network.- Validity and Limitations of Supervised Learning for Phase Transition Research.