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|a 10.1007/978-3-031-49435-2
|2 doi
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|a (OCoLC)1416952846
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|a HCDD
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|a Russian Supercomputing Days
|n (9th :
|d 2023 :
|c Moscow, Russia).
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1 |
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|a Supercomputing :
|b 9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25-26, 2023, revised selected papers.
|n Part II /
|c Vladimir Voevodin, Sergey Sobolev, Mikhail Yakobovskiy, Rashit Shagaliev, editors.
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246 |
3 |
0 |
|a RuSCDays 2023
|
264 |
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1 |
|a Cham :
|b Springer,
|c [2023]
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264 |
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4 |
|c ©2023
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300 |
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|a 1 online resource (xix, 332 pages) :
|b illustrations (chiefly color).
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
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1 |
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|a Lecture notes in computer science,
|x 1611-3349 ;
|v 14389
|
500 |
|
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|a Selected conference proceedings.
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|a Includes author index.
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|a 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. .
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|a 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.
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588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed January 10, 2024).
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650 |
|
0 |
|a Supercomputers
|v Congresses.
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650 |
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0 |
|a High performance computing
|v Congresses.
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655 |
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7 |
|a proceedings (reports)
|2 aat
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655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
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655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
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700 |
1 |
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|a Voevodin, Vladimir,
|e editor.
|
700 |
1 |
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|a Sobolev, Sergey,
|e editor.
|
700 |
1 |
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|a Yakobovskiy, Mikhail,
|e editor.
|
700 |
1 |
|
|a Shagaliev, Rashit,
|e editor.
|
776 |
0 |
8 |
|c Original
|z 3031494318
|z 9783031494314
|z 3031494342
|z 9783031494345
|w (OCoLC)1406094673
|
830 |
|
0 |
|a Lecture notes in computer science ;
|v 14389.
|x 1611-3349
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-49435-2
|y Click for online access
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903 |
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|a SPRING-ALL2023
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994 |
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|a 92
|b HCD
|