{"title":"Educational Cloud Environment with Automated CI/CD Infrastructure Based on Open Technologies","authors":"M. A. Kalikin, S. V. Vostokin","doi":"10.1134/S1063779626700127","DOIUrl":"10.1134/S1063779626700127","url":null,"abstract":"<p>The architecture of an educational cloud environment designed for practical training of students in the field of DevOps and CI/CD is presented. The platform is based on open technologies: Gitea, Jenkins, Nexus, Kubernetes and Ansible. The goal of the project is to create a reproducible environment that mimics the full software development cycle. The possibilities of integration into the educational process and advantages over traditional approaches are shown.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"563 - 565"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of Open-Source Quantum Chemistry Codes on the Govorun Supercomputer: Application to Adsorption of Superheavy Elements","authors":"H. Esawii, D. Sen, M. Iliaš","doi":"10.1134/S1063779626700504","DOIUrl":"10.1134/S1063779626700504","url":null,"abstract":"<p>The rapid advancement of computational molecular physics relies on the efficient adaptation of the software to high-performance computing (HPC) platforms. Here, we report a systematic benchmarking of two major open-source packages DIRAC, for relativistic molecular electronic structure theory, and Quantum ESPRESSO, for periodic density functional theory simulations, on the Govorun supercomputer. We evaluated multiple build configurations, parallelization schemes, and GPU-enabled implementations to assess scalability, memory performance, and computational throughput.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"680 - 682"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Computing Status at IHEP, CAS","authors":"Xuantong Zhang, Xiaomei Zhang, Xiao Han","doi":"10.1134/S1063779626700012","DOIUrl":"10.1134/S1063779626700012","url":null,"abstract":"<p>The Institute of High Energy Physics (IHEP) of the Chinese Academy of Sciences leads international collaborations on multiple large-scale experiments, which rely on grid computing to handle massive data across global sites. IHEP has deployed a robust computing infrastructure using systems like DIRAC and Rucio, along with custom-developed components for specific experimental requirements. This paper details the current state and architecture of IHEP’s distributed computing services and their role in enabling large-scale scientific collaborations in high-energy physics.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"519 - 521"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Search for Bottlenecks in SpdRoot Code","authors":"A. V. Didorenko, N. N. Voytishin","doi":"10.1134/S1063779626700401","DOIUrl":"10.1134/S1063779626700401","url":null,"abstract":"<p>This work optimizes the SpdRoot software package for event reconstruction in high-energy physics by detecting and eliminating source code bottlenecks. Issues such as memory leaks and unsafe type casting were fixed. The optimization reduced the average event reconstruction time without compromising the output integrity, demonstrating potential for further improvements in similar tasks related to the NICA experiments.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"648 - 650"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experience of Applying Volunteer Computing to Solve Scientific Problems Using an Evolutionary Algorithm","authors":"N. P. Khrapov, A. R. Oganov, M. G. Kostenko","doi":"10.1134/S1063779626700206","DOIUrl":"10.1134/S1063779626700206","url":null,"abstract":"<p>This paper proposes practical methods for improving performance when using an evolutionary algorithm in a volunteer computing environment. The analysis showed that the low stability of some nodes leads to a delay in the creation of a new generation. The paper will propose a way to overcome this problem by maintaining a stable resource.The problem of the inability to pre-estimate task durations is also discussed and methods for overcoming it are proposed.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"587 - 589"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring System for JUNO Distributed Computing Infrastructure and Services","authors":"Xiao Han, Xuantong Zhang, Xiaomei Zhang","doi":"10.1134/S1063779626700139","DOIUrl":"10.1134/S1063779626700139","url":null,"abstract":"<p>The Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose neutrino experiment that will soon begin data taking. Its large data volume and international collaboration require a distributed computing infrastructure (DCI) across several sites. To ensure stable operations, we developed a new monitoring system that combines log collection, active service probing, workflow-based task management, visualization, and automated alerts. The system has been applied successfully in JUNO Data Challenges and is prepared for integration into routine operations. Future developments will focus on extending metrics, coupling with production systems, and expanding to other experiments.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"566 - 568"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a Knowledge Base System for Administration of the NRC “Kurchatov Institute”—IHEP Computing Center Based on Linux History Tools","authors":"M. S. Shemeiko, V. V. Kotliar, V. O. Morozov","doi":"10.1134/S106377962670019X","DOIUrl":"10.1134/S106377962670019X","url":null,"abstract":"<p>Computer administration of complex computing systems and distributed computing clusters presents significant challenges. Each sophisticated computer system has unique architecture and software configurations. Long-term system administration of such environments includes daily execution of various server commands - both for troubleshooting and for monitoring system behavior under different operational loads. These accumulated commands can be transformed into a valuable knowledge base for future use. This paper describes the development of such knowledge management system using Linux history tools at NRC “Kurchatov Institute”—IHEP.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"584 - 586"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Operational Reliability and Security of the Heterogeneous Platform “HybriLIT”","authors":"M. Matveev, M. Kirakosyan","doi":"10.1134/S1063779626700243","DOIUrl":"10.1134/S1063779626700243","url":null,"abstract":"<p>The article will address the topic of encryption and backup of system data on the Heterogeneous HybriLIT platform [1].</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"600 - 602"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. V. Ezhova, V. V. Gusev, A. A. Kotliar, V. V. Kotliar, V. O. Morozov, M. S. Shemeiko
{"title":"Comprehensive Monitoring, Automation, and Analysis System for the Computing Cluster at NRC “Kurchatov Institute”—IHEP","authors":"V. V. Ezhova, V. V. Gusev, A. A. Kotliar, V. V. Kotliar, V. O. Morozov, M. S. Shemeiko","doi":"10.1134/S1063779626700048","DOIUrl":"10.1134/S1063779626700048","url":null,"abstract":"<p>The computing cluster at the NRC “Kurchatov Institute”—IHEP is a complex system integrating multiple diverse components and technologies. These include distributed computing, high-performance computing, highly reliable uninterruptible power supply systems, precision cooling systems, and information and communication technologies. Monitoring the system’s status, analyzing its behavior, and managing its operation present a highly challenging task that can be broken down into several subtasks. This paper describes the current state of the system for collecting and analyzing the computing cluster’s parameters and its management.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"531 - 534"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Parallel File System Lustre for Processing and Analyzing Data of the NICA Megascience Project","authors":"D. V. Belyakov, A. A. Kokorev, D. V. Podgainy","doi":"10.1134/S1063779626700425","DOIUrl":"10.1134/S1063779626700425","url":null,"abstract":"<p>This paper proposes a solution based on the distributed parallel file system Lustre for fast data copying and simultaneous calculations on the Super Computer Govorun located in LIT JINR and the computing cluster NCX located in LHEP JINR, included a fault-tolerance mode based on Lustre components and Pacemaker/Corosync software packages. The developed architecture is built on modern server equipment with a high-speed connection to the Ethernet 400 Gbps network between different buildings of the Institute. The results of testing the performance of the distributed parallel file system Lustre are presented, obtained on the basis of the IOR software utility, which operates on the basis of MPI technology.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"654 - 656"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}