Dynamic Parallelization Strategies for Multifrontal Sparse Cholesky Factorization. - Sergey Lebedev; Dmitry Akhmedzhanov; Evgeniy Kozinov; Iosif B. Meyerov; Anna Pirova; Alexander Sysoyev (PaCT, 2015)

Educational and Research Systems for Evaluating the Efficiency of Parallel Computations. - Victor Gergel; Evgeny Kozinov; Alexey Linev; Anton Shtanyuk (ICA3PP Workshops, 2016)

Calculating Floquet states of large quantum systems: A parallelization strategy and its cluster implementation. - T. V. Laptyeva; Evgeniy Kozinov; Iosif B. Meyerov; M. V. Ivanchenko; Sergey V. Denisov; Peter Hänggi (Comput. Phys. Commun., 2016)

Accelerating Parallel Multicriterial Optimization Methods Based on Intensive Using of Search Information. - Victor P. Gergel; Evgeny Kozinov (ICCS, 2017)

Parallel Computing for Time-Consuming Multicriterial Optimization Problems. - Victor Gergel; Evgeny Kozinov (PaCT, 2017)

An Approach for Parallel Solving the Multicriterial Optimization Problems with Non-convex Constraints. - Victor Gergel; Evgeny Kozinov (RuSCDays, 2017)

PMORSy: parallel sparse matrix ordering software for fill-in minimization. - Anna Pirova; Iosif B. Meyerov; Evgeniy Kozinov; Sergey Lebedev (Optim. Methods Softw., 2017)

GPU-Based Parallel Computations in Multicriterial Optimization. - Victor Gergel; Evgeny Kozinov (RuSCDays, 2018)

Efficient multicriterial optimization based on intensive reuse of search information. - Victor Gergel; Evgeny Kozinov (J. Glob. Optim., 2018)

Parallel Computations for Various Scalarization Schemes in Multicriteria Optimization Problems. - Victor Gergel; Evgeny Kozinov (PPAM (1), 2019)

A Highly Parallel Approach for Solving Computationally Expensive Multicriteria Optimization Problems. - Victor Gergel; Evgeny Kozinov (RuSCDays, 2019)

Multistage Global Search Using Various Scalarization Schemes in Multicriteria Optimization Problems. - Victor Gergel; Evgeniy Kozinov (WCGO, 2019)

Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization. - Iosif B. Meyerov; Evgeny Kozinov; Alexey Liniov; Valentin Volokitin; Igor I. Yusipov; Mikhail Ivanchenko; Sergey V. Denisov (CoRR, 2019)

Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems. - Victor Gergel; Evgeny Kozinov (ICCS (1), 2020)

A Visual-Based Approach for Evaluating Global Optimization Methods. - Alexander Sysoyev; Maria Kocheganova; Victor Gergel; Evgeny Kozinov (RuSCDays, 2020)

Transforming Lindblad Equations into Systems of Real-Valued Linear Equations: Performance Optimization and Parallelization of an Algorithm. - Iosif B. Meyerov; Evgeny Kozinov; Alexey Liniov; Valentin Volokitin; Igor I. Yusipov; Mikhail Ivanchenko; Sergey V. Denisov (Entropy, 2020)

An Approach for Simultaneous Finding of Multiple Efficient Decisions in Multi-objective Optimization Problems. - Konstantin Barkalov; Victor Gergel; Vladimir A. Grishagin; Evgeniy Kozinov (MOTOR, 2021)

Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning. - Konstantin Barkalov; Ilya Lebedev; Evgeny Kozinov (Entropy, 2021)

Parallel solving of multiple information-coordinated global optimization problems. - Victor Gergel; Evgeniy Kozinov (J. Parallel Distributed Comput., 2021)

Computationally efficient approach for solving lexicographic multicriteria optimization problems. - Victor Gergel; Evgeniy Kozinov; Konstantin Barkalov (Optim. Lett., 2021)

ML-Based Approach for Accelerating Global Search Algorithm for Solving Multicriteria Problems. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (LION, 2022)

An Accelerated Algorithm for Finding Efficient Solutions in Multiobjective Problems with Black-Box Multiextremal Criteria. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (OPTIMA, 2022)

Application of Machine Learning to Increase the Efficiency of the Global Search Algorithm for Solving Multicriterial Problems. - Konstantin Barkalov; Vladimir A. Grishagin; Evgeny Kozinov (NUMTA (1), 2023)

Case Study for Running Memory-Bound Kernels on RISC-V CPUs. - Valentin Volokitin; Evgeny Kozinov; Valentina Kustikova; Alexey Liniov; Iosif B. Meyerov (PaCT, 2023)

Improved vectorization of OpenCV algorithms for RISC-V CPUs. - Valentin Volokitin; Evgenii Vasiliev; Evgeny Kozinov; Valentina Kustikova; Alexei Liniov; Yury Rodimkov; Alexander Sysoyev; Iosif B. Meyerov (CoRR, 2023)

Comparative Efficiency of Machine Learning Models for Enhancing Algorithms in Solving Multiextremal Multicriteria Problems. - Sergey Konnov; Evgeny Kozinov; Konstantin Barkalov; Vladimir A. Grishagin (OPTIMA, 2024)

Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors. - Evgeny Kozinov; Evgeny Vasiliev; Andrey Gorshkov; Valentina Kustikova; Artem Maklaev; Valentin Volokitin; Iosif B. Meyerov (PPAM (2), 2024)

Performance optimization of BLAS algorithms with band matrices for RISC-V processors. - Anna Pirova; Anastasia Vodeneeva; Konstantin Kovalev; Alexander Ustinov; Evgeny Kozinov; Alexey Liniov; Valentin Volokitin; Iosif B. Meyerov (Future Gener. Comput. Syst., 2026)