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Buch, Englisch, Band 14389, 332 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 534 g
9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023, Revised Selected Papers, Part II
Buch, Englisch, Band 14389, 332 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 534 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-49434-5
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Technische Informatik Hardware: Grundlagen und Allgemeines
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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.
