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Titolo: | Supercomputing [[electronic resource] ] : 9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25–26, 2023, Revised Selected Papers, Part II / / edited by Vladimir Voevodin, Sergey Sobolev, Mikhail Yakobovskiy, Rashit Shagaliev |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (XIX, 332 p. 129 illus., 99 illus. in color.) |
Disciplina: | 004 |
Soggetto topico: | Computers, Special purpose |
Computer systems | |
Computer networks | |
Software engineering | |
Microprogramming | |
Computer input-output equipment | |
Special Purpose and Application-Based Systems | |
Computer System Implementation | |
Computer Communication Networks | |
Software Engineering | |
Control Structures and Microprogramming | |
Input/Output and Data Communications | |
Persona (resp. second.): | VoevodinVladimir |
SobolevSergey | |
YakobovskiyMikhail | |
ShagalievRashit | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Supercomputing |
ISBN: | 3-031-49435-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996579167103316 |
Lo trovi qui: | Univ. di Salerno |
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