Supercomputing

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.