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Toward efficient execution of data-intensive workflows
The Journal of Supercomputing. 2021. No. 77. P. 7989–8012.
Workflows that consume and produce large amounts of data are being widely used in modern scientific computing and data processing pipelines. Scheduling of data-intensive workflows requires a careful management of data transfers between tasks, since network contention can significantly impact the workflow execution time. The paper presents and evaluates several scheduling algorithms, data transfer strategies and optimizations aimed at efficient execution of data-intensive workflows. The studied approaches reduce or completely avoid network contention by explicit scheduling of data transfers and incorporate several optimizations, such as data caching, chunked and peer-to-peer data transfers. The results of experimental study demonstrate that the relative performance of different approaches depends on the workflow properties, data staging strategy and system configuration. The proposed CAS-L1 heuristic with additional data transfer optimizations achieves the best results.
Савченко В. В., Savchenko L., Измерительная техника 2026 Т. 75 № 3 С. 105–113
Within the framework of a current area of research in the field of speech acoustics – non-invasive analysis of speech
production processes – the acute problem of insufficient accuracy of parametric methods for coding a turbulent (noise) type voice source is considered. In order to overcome this problem, a method for coding a sound source with increased ...
Added: September 11, 2026
Фирсанова В. И., Journal of Mathematical Sciences 2024 Vol. 285 No. 1 P. 112–125
Text-to-image models use user-generated prompts to produce images. Such text-to-image models as DALL-E 2, Imagen, Stable Diffusion, and Midjourney can generate photorealistic or similar to human-drawn images. Apart from imitating human art, large text-to-image models have learned to produce combinations of pixels reminiscent of captions in natural languages. For example, a generated image might contain ...
Added: September 9, 2026
Фирсанова В. И., Человек: образ и сущность. Гуманитарные аспекты 2025 Vol. 2 No. 62 P. 203–214
Abstract. The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified methodology for using artificial intelligence in education. The paper aims to create a generative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets ...
Added: September 9, 2026
Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2
The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18
Added: September 7, 2026
Зуенко Д. О., Trofimova E., Хайдарова И., IEEE Access 2026 Vol. 14 P. 121339–121357
Oil spill segmentation in Synthetic Aperture Radar (SAR) images is limited by noisy annotations in publicly available datasets and by architectural choices that interact with label quality in opposing directions. First, we introduce a manually refined version of the Deep-SAR Oil Spill (SOS) dataset, in which 36.25% of masks are corrected for false positives, missed ...
Added: September 7, 2026
Kelbert M., Statistics 2026 Vol. 60
We present variational representations for the weighted divergencies
and exponential error function, and discuss implications for the
statistical inference and entropic optimal transport. ...
Added: September 7, 2026
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Sheshukova M., Durmus A., Khusainov M. et al., Statistics 2026 P. 1–25
In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...
Added: September 4, 2026
Proceedings of Machine Learning Research , 2026.
Added: September 4, 2026
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
IEEE, 2026.
On behalf of the Organizing Committee, it is my great pleasure to extend a warm
welcome to all participants of the Fourth International IEEE Conference on
Distributed Computing and High-Performance Computing (DCHPC 2026), held
in Tehran from May 10–11, 2026. This conference is jointly organized by the
School of Computer Science at the Institute for Research in Fundamental
Sciences (IPM) ...
Added: September 2, 2026
S.M. Avdoshin, Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4-2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Омаров М. Т., Маликов М. А., Amerikanov A., , in: 2026 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2026. P. 791–796.
High-level simulation is a critical stage for optimizing Network-on-Chip (NoC) design, enabling a reduction in time and resources at subsequent development stages. Existing tools often possess limited configuration flexibility and support a narrow set of traffic models, which complicates the evaluation of networks specialized for specific applications. This paper investigates an approach to extending NoC ...
Added: August 22, 2026
Комиссаров А. И., Вестник Московского государственного технического университета им. Н.Э. Баумана. Серия: Машиностроение 2025 Т. 155 № 4 С. 72–89
The primary requirement for a tracked vehicle simulation model used in the computer-based training simulators for the tracked vehicle and robot control is their operation in real or near-real time. This requirement is most often met by the significantly simplified kinematics and dynamics in the tracked running gear substructure interaction model. The paper describes an ...
Added: August 6, 2026
Bukina T. V., В кн.: Кафедра социально-экономической географии: семь десятилетий развития.: Пермь: Пермский государственный национальный исследовательский университет, 2025. Гл. 5 С. 57–79.
Each region is characterized by unique development features that shape the future of its economy. The level of economic development of a region is determined by various conditions, such as the availability of natural resources, the availability of production facilities, the development of institutions and the social sphere, infrastructural security, and many others. Therefore, when ...
Added: August 3, 2026
Ramenskaya A., Бектемиров Р. Р., Корнейченко Е. Н., В кн.: Имитационное моделирование. Теория и практика (ИММОД 2025).: СПб.: АО "ЦТСС", 2025. С. 463–470.
Banks need to analyze the preferences and behavior of their customers for stability. The high value of the key rate has affected the deposit policy of banks. The purpose of the study is to develop simulation model of customer behavior in the regional bank deposit market. The paper proposes an agent-based simulation model describing the ...
Added: April 20, 2026
Sultanov R., Safin R., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 519–526.
Vision is one of the well-researched sensing abilities of robots. However, applying vision-based algorithms can be challenging when used in different environmental conditions. One such challenge in vision-based localization is dynamic lighting conditions. In this paper, we present a new Gazebo plugin that enables realistic illumination changes depending on a current Sun's position. A plugin's ...
Added: March 17, 2026
Gamberov T., Safin R., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 175–187.
The agricultural sector is undergoing a digital transformation due to modern automation, robotics, sensing, and simulation technologies. This research explores a use of digital human models (DHMs) in the Gazebo virtual environment to enhance agricultural workflows, improve human-robot interaction, and ensure safety. We propose a framework that models typical agricultural scenarios, such as field mapping, ...
Added: March 17, 2026
Stepanyants V., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 982–986.
Transportation systems are complicated and deal with significant problems. With the pool of possible solutions being wide, extensive transportation planning has to be involved. However, planning based on expert opinions is significantly limited in terms of rapidity, accuracy, and confidence. Computer-aided design and automated decision-making systems are the next step to ensure transportation system development ...
Added: October 3, 2025
Zanko Georgii, MULTIDISCIPLINARY SCIENCE JOURNAL 2025 Vol. 8 No. 1 P. e2026126
Effective cash management remains a persistent challenge in dynamic economic landscapes, particularly under VUCA conditions. While traditional cash management models, including stochastic programming, have offered valuable insights, their limitations in capturing rapid changes and unknown uncertainties are becoming increasingly apparent. This paper addresses this gap by conducting a comparative analysis between a Stochastic Goal Programming ...
Added: September 12, 2025