-
The GRID concept, as a computing infrastructure, according to its authors, has not been implemented by 2022 [1]. This concept was proposed by Foster and Kesselman [2] in 1999. It should be noted that this concept best suits the needs of modern applications such as on-demand computing, on-demand data storage, etc. [4]. Here is how the authors themselves formulated the main properties of the...
The concept of โvirtual testbedโ of real-time computational simulation is based on high-performance algorithms for modeling the physical phenomenon under study without losing the quality of reproducible processes. One of the most complicated and comprehensive areas of this nature is naval hydrodynamics, as it requires the integration of a sufficiently big number of heterogeneous...
Modern physics experiments on particle collisions cannot operate without sophisticated software used at all stages of the work, including the design of the setup, control of the operation of different subsystems, data collection, online and offline processing and final physics analysis. This also holds true for the fixed target experiment, BM@N, the first experiment operating and taking data...
The Multi-Purpose Detector (MPD) is one of the three experiments of the Nuclotron Ion Collider-fAcility (NICA) complex, which is currently under construction at the Joint Institute for Nuclear Research in Dubna. With collisions of heavy ions in the collider mode, the MPD will cover the energy range 4-11 GeV to scan the high baryon-density region of the QCD phase
diagram. With expected...
The Spin Physics Detector (SPD) collaboration is developing a universal detector to be installed at the second interaction point of the Nuclotron-based Ion Collider fAcility (NICA). Along with establishment of facility, refinement of the physical research program, growing up needs in data processing. To address these needs and provide essential IT services, the SPD Software & Computing (S&C)...
The Jiangmen Underground Neutrino Observatory (JUNO) is an international neutrino experiment and the determination of the neutrino mass hierarchy is its primary physics goal. JUNO established distributed computing system to organize resources for JUNO data processing activities. JUNO is in the commissioning phase now and plans to take data on July, 2025 with 3PB raw data each year. PBs of...
The Institute of High Energy Physics (IHEP), Chinese Academy of Sciences (CAS), employs distributed computing systems to coordinate computing and storage resources across multiple international collaborations. Among these, the Jiangmen Underground Neutrino Observatory (JUNO) is a multipurpose neutrino experiment scheduled to begin official data acquisition in the second half of 2025. The JUNO...
Keywords: cloud technologies, knowledge-intensive applications, workflow management system, workflow as a service
1.Introduction
In this work, we propose a comprehensive solution to the problem of scheduling the execution of complex applications on cloud-based WaaS (Workflow as a Service) platforms. Multitenant WaaS environments allow to implement efficient mechanisms for...
Over the past two years, the primary focus of JINR and its Member States cloud infrastructures has been on upgrading operating systems and core software. Significant efforts have also been directed toward deploying new applications and services on the JINR and JINR Member States cloud resources. This report provides a detailed overview of the main technical achievements and outlines the...
Two methods of population annealing implemented in a hybrid MPI/CUDA architecture are discussed. Examples of applications for classical statistical physics systems are given. The first method is based on annealing with temperature reduction/increase. It can also be used to minimize the functional. The second method is based on lowering/raising the energy of the system and allows investigating...
-
The rapid growth in data volume and complexity has exposed the limitations of traditional storage solutions. While data lakes offer scalable handling of large and unstructured datasets, they fall short in integrating data across distributed sites - a critical requirement for modern workflows such as machine learning that demand seamless, aggregated access to diverse data sources.
In this...
The presentation is dedicated to a promising new scientific research direction called hybrid artificial intelligence. Hybrid AI means developing methods to combine the advantages of machine learning, strong mathematical models, and high-performance computing. This issue is considered in the context of solving large linear programming problems in real time. The following subjects are...
Key words: DNA, quantum cellular automata, charge transfer, biocomputer
The emergence, development and important role that informatics plays in modern science is due to the explosive development of computer technologies. A new and more general direction is to consider bioinformatics as informatics on the bases of nanobioelectronics and biocomputer technologies. DNA molecular is an...
AI development brings a revolutionary changes to our life and our society.
The practical use of AI approaches for scientific studies is slightly behind the general use.
This lag is driven by a specific requirements to the machinery imposed by scientific use.
Using AI based fast simulation surrogate models for particle physics experiments is a popular trend nowadays.
In this presentation we...
ะ ัะฐะผะบะฐั ะบะพะผะฟะปะตะบัะฝะพะน ะฟัะพะณัะฐะผะผั ยซะ ะฐะทะฒะธัะธะต ัะตั ะฝะธะบะธ, ัะตั ะฝะพะปะพะณะธะน ะธ ะฝะฐััะฝัั ะธััะปะตะดะพะฒะฐะฝะธะน ะฒ ะพะฑะปะฐััะธ ะธัะฟะพะปัะทะพะฒะฐะฝะธั ะฐัะพะผะฝะพะน ัะฝะตัะณะธะธ ะฒ ะ ะพััะธะนัะบะพะน ะคะตะดะตัะฐัะธะธยป ะฒ ะฟะตัะธะพะด ั 2022 ะฟะพ 2024 ะณะพะดั ะดะปั ะฟัะพะฒะตะดะตะฝะธั ะธััะปะตะดะพะฒะฐะฝะธะน ะฒ ะพะฑะปะฐััะธ ัะธะทะธะบะธ ะฟะปะฐะทะผั ะธ ัะฟัะฐะฒะปัะตะผะพะณะพ ัะตัะผะพัะดะตัะฝะพะณะพ ัะธะฝัะตะทะฐ (ะฃะขะก) ะฑัะปะพ ัะพะทะดะฐะฝะพ ะตะดะธะฝะพะต ะธะฝัะพัะผะฐัะธะพะฝะฝะพะต ะฟัะพัััะฐะฝััะฒะพ - FusionSpace.ru. (ะธะปะธ ะฐะฟะฟะฐัะฐัะฝะพ-ะธะฝััะฐััััะบัััะฝะฐั ะฟะปะฐััะพัะผะฐ...
Integrating Large Language Models (LLMs) into high-energy physics (HEP) drives a paradigm shift in how researchers design experiments, analyze data, and automate complex workflows. There are examples in theoretical physics, e.g., L-GATr [1], as well as large physics models [2], which are large-scale artificial intelligence systems for physics research and applications. The development of Xiwu...
The computing cluster at the NRC ยซKurchatov InstituteยปโIHEP 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...
