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Supercomputing9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023 : revised selected papers.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Supercomputingedited by Vladimir Voevodin ... [et al.].
其他題名:	9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023 : revised selected papers.
其他題名:	RuSCDays 2023
其他作者:	Voevodin, Vladimir.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	xix, 332 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	SupercomputersCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-49435-2
ISBN:	9783031494352$q(electronic bk.)

Supercomputing9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023 : revised selected papers.Part II /
Supercomputing9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023 : revised selected papers.Part II /[electronic resource] :RuSCDays 2023edited by Vladimir Voevodin ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xix, 332 p. :ill., digital ;24 cm. - Lecture notes in computer science,143890302-9743 ;. - Lecture notes in computer science ;4891..

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.

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.

ISBN: 9783031494352$q(electronic bk.)

Standard No.: 10.1007/978-3-031-49435-2doiSubjects--Topical Terms:

384559
Supercomputers
--Congresses.

LC Class. No.: QA76.88

Dewey Class. No.: 004.11

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