Статьи

Any modern supercomputer has an extremely complex architecture, and efficient usage of its resources is often a very difficult task, even for experienced users. At the same time, the field of high-performance computing is becoming more and more in demand, so the issue of efficient utilization of supercomputers is very urgent. Therefore, users should know everything important about performance of their jobs running on a supercomputer in order to be able to optimize them, and administrators should be able to monitor and analyze all the nuances of the efficient functioning of such systems. However, there is currently no complete understanding of what data are best to be studied (and how it should be analyzed) in order to have a whole picture of the state of the supercomputer and the processes taking place there. In this paper, we make our first attempt to answer this question. To do this, we are developing a model that describes all the potential factors that may be important when analyzing the performance of supercomputer applications and the HPC system as a whole. The paper provides both a detailed description of this model for users and administrators and some interesting real-life examples discovered on the Lomonosov-2 supercomputer using a software implementation based on the proposed model.

La tâche de l’enseignant est de renforcer l’activité de chaque élève, de créer des situations pour leur créativité dans leprocessus d’apprentissage.

Аннотация10: статья посвящена рассмотрению такого общественного явления как занятость населения. Для анализа занятости населения в Российской Федерации изучены показатели уровня участия населения в составе рабочей силы, занятости населения, структуры занятых по возрастным группам, уровню образования и видам экономической деятельности. Представленные показатели занятости населения проанализированы в пространственно- временной дифференциации: по субъектам Российской Федерации за хронологический период 2010-2022 годы. Анализ данных показал, что уровень участия в составе рабочей силы для РФ снизился с 67,7% в 2010 до 62,3% 2022 год. При этом уровень занятости населения в возрасте 15-72 лет вырос с 61,7% до 64,1% за период 2010-2022 годы. Выделены четыре кластера регионов РФ по уровню занятости населения.

This paper provides an illustrated description of two water mite species of the genus Atractides—Atractides (Atractides) arzanensis sp. n. and Atractides (Atractides) teneroides sp. n.—from the running waters of Russia.

The empirical studies on the potential interconnection between tax and financial growth have gathered a great deal of attention from scholars and policymakers. However, the impact of regulatory capital on taxation performance has been ignored. In this context, the study aims to provide new discussion by assessing the linkage between capital adequacy and taxation revenues in the case of Brazil, Russia, India, China, and South Africa (BRICS) economies. We aim to find out the impact of capital adequacy ratios on the taxation performance of BRICS countries. We hypothesize that a stronger banking system is positively associated with higher taxation performance. A sound banking and financial system promotes economic development and growth, also resulting in the firms’ profitability and ultimately increasing the government’s tax revenues. Using the advanced quantile panel technique of the Methods of Moments Quantile
Method (MM-QR), the study showed that capital adequacy positively influences taxation sustainability in the BRICS economies. Besides, the findings illustrated that economic growth positively increases taxation revenues in the BRICS economies. The study suggests that regulatory capital policies can positively influence financial stability by mitigating bank risk-taking incentives and offering a buffer against losses. Hence, an increase in capital adequacy will promote financial stability, which in turn leads to increased taxation revenues. However, higher capital adequacy may increase the franchise value of core banks’ activities, which in turn allows banks to attract new investments and funds that can be used for investment in risky market-based activities. Based on the empirical analysis, the study concludes that policymakers should focus more on capital regulation and sustainable taxation revenues.

The three-dimensional representation of the solution for the ordinary differential equations system (ODE) describing convective flow is a Lorentz attractor. This system of equations is the basic deterministic system with which the development of chaos theory began. In order to derive the characteristics of this complex system, the development of a modern accessible and easy to use software product is necessary.
The aim of the work was to create a program for investigating the Lorentz attractor in Python using special command libraries. Particular attention is paid to ways of solving the system of ordinary differential equations by different numerical methods and to the clarity of the presented results.
The code blocks of the developed software are described; it is used to calculate the Lorentz attractor by varying the numerical methods for solving the ordinary differential equations and system parameters. Conclusions are drawn from the results of the calculation.