Prof.
Victor Matveev
(JINR)
9/10/18, 9:00 AM
Dr
Tatiana Strizh
(JINR), Prof.
Vladimir Korenkov
(JINR)
9/10/18, 9:50 AM
Plenary reports
JINR possesses a complex informational-computational infrastructure. The uninterrupted functioning of all its elements at the right level is mandatory for the fulfillment of the JINR scientific research programmes. The support of this infrastructure fully functional is a major task of the Laboratory of Information Technologies. Follows from the noticeable diversity of the scientific targets...
Dr
Qiulan Huang
(Institute of High Energy Physics,Chinese Academy of Sciences)
9/10/18, 10:20 AM
Plenary reports
Mass data processing and analysis contribute much to the development and discoveries of a new generation of High Energy Physics. The LHAASO(Large High Altitude Air Shower Observatory) experiment of IHEP located in Daocheng, Sichuan province (altitude 4410 m), is expected the most sensitive project to study the problems in Galactic cosmic ray physics, and requires massive storage and computing...
Prof.
Vladimir Voevodin
(Lomonosov Moscow State University, Research Computing Center)
9/10/18, 11:10 AM
Andrea Manzi
(CERN)
9/10/18, 11:40 AM
Plenary reports
The File Transfer Service (FTS) is an open source solution for data transfers developed at CERN. It has been used for almost 4 years for the CERN LHC experiments data distribution in the WLCG infrastructure and during this period the usage has been extended to non-CERN and non-HEP users, reaching in 2017 almost an Exabyte of transferred data volume.
The talk will focus on the service...
Ivan Krovyakov
(IT CTO, Huawei Enterprise Russia)
9/10/18, 12:10 PM
Mr
Nikolay Khrapov
(Institute for Information Transmission Problems)
9/10/18, 1:30 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
Currently, the BOINC system [1] is the most well-known voluntary computing system. Many researchers use BOINC to solve scientific problems. The BOINC software allows them to automate the process of sending tasks to the computing node, starting it and returning the results. To solve many scientific problems, the BOINC system requires additional software.
The need for integration of the BOINC...
Mr
Gennady Dik
(St. Petersburg State University)
9/10/18, 1:30 PM
Sectional reports
When the automation of transport logistics companies there is a problem with the gap between the existing business processes and means of automation.
This circumstance makes it necessary to search for options for creating a software infrastructure (SI) for transport logistics enterprises. One of the solutions to this problem can be the transition of the enterprises to Service-Oriented...
Ms
Elena Yasinovskaya
(Plekhanov Russian University of Economics)
9/10/18, 1:30 PM
The application of semantic integration methods meets challenges,
which arise during collaboration between IT-specialists and domain
experts at the model building stage. These challenges can
affect correct formalization of the domain as well as the outcome
of the integration in distributed information systems as a whole.
The creation of a collaborative platform for semantic...
Ms
Diana Koshlan
(JINR, LIT)
9/10/18, 1:45 PM
Stages of development and operation of specialized agent system concerning collection and analysis of the BRICS countries' scientific publications are considered in this paper. The data are extracted from more than 60 sources of authoritative publications in fields of Chemistry, Physics, Genetics, Biochemistry, Ecology, Geology etc. Algorithms for data analysis used in the system directed to...
Mr
Ilya Kurochkin
(IITP RAS)
9/10/18, 1:45 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
Results of activity of the Russian Chapter of International Desktop Grid Federation (IDGF) are considered. Including interaction with community of the russian volunteers (crunchers), start new and support of the existing projects of the volunteer distributed computing.
Ilya Busko
(SPSU Faculty of Applied Mathematics and Control Processes)
9/10/18, 1:45 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
This article presents a task of the recovery of the spectral density of sea waves in the linear case. Creation of the onboard ship system giving the current information about sea state and weather forecast in the navigation area is one of the most urgent problem. Weather forecast can be based on the analysis of the sea waves spectral density change. Evaluation of the sea wave spectral density...
Maksim Gubin
(Tomsk Polytechnic University)
9/10/18, 2:00 PM
Every modern scientific experiment deals with the processing of large amounts of experimental data (up to exabytes) employing millions of computing processes and delivering corresponding scientific payloads. It raises the task of the efficient management of the batch processing of payloads, that should consider the well-defined grouping mechanism.
Understanding naturally occurring...
Mr
Ilya Kurochkin
(IITP RAS)
9/10/18, 2:00 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
The paper presents an overview of modern methods for task scheduling in desktop grid systems, estimates of the quality of methods, including: the time of execution of all tasks, the level of resource utilization. Heuristic approach to task scheduling is considered, which allows ensuring high performance and reliability of such systems at the early stages of development. A comparative analysis...
Mr
Maxim Menshchikov
(St.Petersburg State University)
9/10/18, 2:00 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
The more static program analysis spreads in the industry, the clearer it becomes that its real-world usage requires something more than just optimized algorithms to make execution fast. Distribution of computations to cluster nodes is one of the viable ways for speeding up the process.
The research demonstrates one of the approaches for organizing distributed static analysis - "Semantic...
Victor Dorokhin
(Dubna University)
9/10/18, 2:15 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
Today we have an established stack of tools to develop applications, systems and services for scientific purposes. However, not so long ago a new technology, called .NET Core appeared. It’s supervised by Microsoft, but its open-source and developed by a wide community of programmers and engineers.
That technology has a lot of advantages like high performance, simple and productive parallel...
Mr
Kamil Khamitov
(Lomonosov Moscow State Univercity)
9/10/18, 2:15 PM
One of the most computation complicated tasks during Neural networks development is a training process. It could be considered as high dimensional numerical optimization tasks.
In the modern MapReduce systems, like Apache Spark, it's hard to efficiently implement traditional for Neural networks training gradient-based algorithms or Quasi-newton L-BFGS method, because there are too...
Dr
Oleg Sukhoroslov
(IITP RAS)
9/10/18, 2:15 PM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
Distributed computing systems are widely used for execution of loosely coupled many-task applications. There are two important classes of such applications. Bag-of-tasks applications, e.g., parameter sweeps or Monte Carlo simulations, represent a set of independent tasks. Workflows, which are used for automation of complex computational and data processing pipelines, consist of multiple tasks...
Mr
Sergey Belov
(Joint Institute for Nuclear Research)
9/10/18, 3:00 PM
The project aims to create a database of companies and company data and an automated analytical system based on this data. The development of the system will allow credit institutions to obtain information about the links between companies, to carry out a policy of "Know your customer" - to identify the final beneficiaries, to assess risks, to identify relationships between customers. For the...
Mr
Mikhail Belov
(Dubna State Univeristy)
9/10/18, 3:00 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
This paper discusses issues surrounding the training of specialists in the field of storage, processing and intellectual analysis of big data using virtual computer lab and its main architectural components.
Dr
Victor Tishchenko
(RCF "Computer Science and Control" RAS)
9/10/18, 3:00 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
The paper shows the emergence of a new form of online scientific collaboration, the collaborative networks of volunteer computing (VC) participants. And it examines what makes a collaborative VC-project successful and determines the formation of VC-community. We report on data from a statistic online study of volunteers’ activities and an online survey of VC-participants on several online...
Dr
Oleg Zaikin
(Matrosov Institute for System Dynamics and Control Theory SB RAS)
9/10/18, 3:15 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
The BOINC-based volunteer computing project Acoustics@home was employed to study the accuracy of the sound speed profile reconstruction in a shallow-water waveguide using a dispersion-based geoacoustic inversion scheme. This problem was transformed into a problem of black-box minimization of a certain mismatch function. According to the first approach, a sound speed profile is considered a...
Sergey Belov
(Joint Institute for Nuclear Research)
9/10/18, 3:15 PM
Last years, the prospects for digital transformation of economic processes were actively discussed. It is quite a complex problem having no solution with traditional methods. Opportunities of the qualitative development of the transformation are illustrated by the example of use of Big Data analytics, in particular intellectual text analysis, for the assessment of the needs of regional labour...
Dr
Vladimir Rachkov
(Joint Institute for Nuclear Research)
9/10/18, 3:15 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
The NRV web knowledge base on low-energy nuclear physics has been created in the Joint Institute for Nuclear Research. This knowledge base working through the Internet integrates a large amount of digitized experimental data on the properties of nuclei and nuclear reaction cross sections with a wide range of computational programs for modeling of nuclear properties and various processes of...
Ms
Nadezhda Vozdvizhenskaya
(Dubna State University)
9/10/18, 3:30 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
Over the past few decades, web technologies have proven to be a fast, convenient and easy-to-access tool for retrieving information and sharing a large amount of heterogeneous data. The technologies used there, and in particular the HTML technology - have played a major role in the development of the Internet as it is. This is all due to the standardization and creation of a single tool to...
Prof.
Vladimir Dimitrov
(University of Sofia)
9/10/18, 3:30 PM
В работе исследованы вопросы многомерного анализа данных на основе технологии семейства Business Intelligence и применение этой технологии для анализа продаж. Изучены OLAP технологии и требования к ним, способы реализации, на примере Business Intelligence. Рассмотрены основные положения технологии бизнес интеллекта в Visual Studio, внутренние интерфейсы Microsoft SQL Server. Разработана...
Dr
Oleg Sukhoroslov
(IITP RAS),
Sergey Vostokin
(Samara National Research University)
9/10/18, 3:30 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
Целью исследования была экспериментальная проверка технологии автоматизированной разработки приложений с динамически формируемым графом зависимостей между задачами для вычислений в грид-среде настольных компьютеров организации. Данный тип вычислений привлекателен с точки зрения минимума аппаратных затрат, но остается сложным как для программирования, так и для развертывания.
Специфические...
Mr
Mikchail Berezhkov
(Stankin), Prof.
eugene Shchetinin
(Financial University)
9/10/18, 3:45 PM
Clustering is a well-known machine learning algorithm which enables the determination of underlying groups in datasets. In electric power systems it has been traditionally utilized for different purposes like defining consumer individual profiles, tariff designs and improving load forecasting.A new age in power systems structure such as smart grids determined the wide investigations of...
Eduard Vatutin
(Southwest State University)
9/10/18, 3:45 PM
7. Desktop grid technologies and volunteer computing
Sectional reports
The search for pairs of orthogonal diagonal Latin squares (ODLS) is a hard-combinatorial problem [1]. According to the Euler-Parker approach, a set of diagonal transversals is constructed for a given DLS of order N. If a subset of N non-overlapping transversals is found, then an orthogonal mate for the DLS can be easily constructed. According to some estimations, only 1 DLS of order 10 out of...
Mr
Viktor Kotliar
(IHEP)
9/10/18, 4:00 PM
Poster presentations
The information flow should be monitored on anomaly detection. It is important, because it allows
you to see a possible problem in advance and prevent it from turning into a real one. A huge flow of
diverse data within the modern computing center flows from everywhere. As a rule, these are time
series - numerical characteristics that are consistently measured after some time intervals.
At...
Mr
Andrey Nechaevskiy
(JINR)
9/10/18, 4:00 PM
Poster presentations
An efficient representation and implementation of image are necessary, as a digital image is an approximation of some real situation, and carries some uncertainty. In order to deal with this uncertainty we need appropriate image model, which also enable image processing without losing the information regarding the uncertainty. Interval arithmetic techniques appear as a good option for handling...
Dr
Elena Nurmatova
(University “Dubna”, Protvino branch)
9/10/18, 4:00 PM
Poster presentations
The questions of constructing optimal logical structure of a distributed database (DDB) are considered. Solving these issues will make it possible to increase the speed of processing requests in DDB in comparison with a traditional database. Optimal logical structure of DDB will ensure the efficiency of the information system on computational resources. The problem of constructing an optimal...
Ms
Yuliya Kazarina
(API ISU)
9/10/18, 4:00 PM
Poster presentations
In the frame of the Karlsruhe-Russian Astroparticle Data Life Cycle Initiative it was proposed to deploy an educational resource astroparticle.online for the training of students and graduate students in the field of astroparticle physics. This resource is based on HUBzero, which is an open-source software platform for building powerful websites, which supports scientific discovery, learning,...
Zafar Tukhliev
(JOINT INSTITUTE FOR NUCLEAR RESEARCH)
9/10/18, 4:00 PM
Poster presentations
Hamiltonian systems arise in natural sciences and are used as mathematical models for many practical problems. Due to their wide applications, a large class of numerical methods, usually symplectic ones, has been developed. The most commonly used is Verlet method which is second order, fast, and simple to implement. Here we consider a novel idea proposed and developed in [1]. It is based on...
Ms
Nataliia Kulabukhova
(Saint Petersburg State University)
9/10/18, 4:00 PM
Poster presentations
The challenge is to teach how to drive a vehicle without human with
the help of deep learning power using visual data from the cameras installed on the machine. The problem is to process the amount of data in the real time. Convolutional neural networks (CNNs) are used for training data. And the idea of how to use CNNs on graphical processing units is described.
Mr
Javad Javadzade
(JINR)
9/10/18, 4:00 PM
Poster presentations
This project is devoted to monitoring and analyzing the labour market based on the publicly available data on job offers, CVs and companies gathered from open data projects and recruitment agencies.
The relevance of project is that some work areas have already overcrowded, some are outdated or some may have a little need for new workers, and some new and growing industries will offer good...
Mr
Viktor Kotliar
(IHEP)
9/10/18, 4:00 PM
Poster presentations
Every day IHEP central computing cluster produce thousands of calculations related to research
activities, both IHEP and GRID experiments. A lot of machine resources are expended on this work.
So, we can estimate the size of the spent resources used for all types of tasks, make decisions for
changing cluster configuration and to do the forecast for the work of the computer center in...
Mr
Viktor Kotliar
(IHEP)
9/10/18, 4:00 PM
Poster presentations
Dealing with cluster-systems you have multiple ordinary situations which can be solved using
automation tools. Stackstorm is a quite good event-driven system which helps to manage typical
problems and to communicate with cluster via chat-ops extension. Just write a rule for such eventand it will be triggered and solved. In the presented work will be shown an example of a real event-
driven...
Mikhail Malkov
(RSC Group)
9/10/18, 4:00 PM
Poster presentations
The poster covers methods and tools, developed within the RSC BasIS
datacenter management platform: key benefits of a micro agent approach
in solving the problem of the lack of connectivity between different
layers in datacenter management and automation; architecture overview
and use case examples.
We would like to share our operating experience of RSC BasIS Platform
and discuss plans...
Mikhail Malkov
(RSC Group)
9/10/18, 4:00 PM
Poster presentations
This poster describes the benefits of using a hyperconverged approach to
build next-gen high performance computer clusters.
We will cover the need for storage and compute convergency and its
advantages over existing architectures; present our results, use case
scenarios and the achieved efficiency of the system, which enabled the
new JINR supercomputer built with the RSC hyper-converged...
Ms
Дарья Пряхина
(ЛИТ, ОИЯИ),
Дмитрий Маров
(Университет "Дубна")
9/10/18, 4:00 PM
Poster presentations
The data storage and processing systems simulation program "SyMSim" was developed at the Laboratory of Information Technologies of the Joint Institute for Nuclear Research. The input parameters and the simulation results are stored in a database. A web service was developed to interact with the program, but it has some disadvantages.
- there are no examples of program operation and guest...
Mr
Veniamin Chupritskiy
(Konstantinovich)
9/10/18, 4:00 PM
Poster presentations
This paper describes the algorithm for the numerical solution of the diffraction problem of waveguide modes at the joint point of two open planar waveguides. For the planar structures under consideration, we can formulate a scalar diffraction problem, which is a boundary value problem for the Helmholtz equation with a variable coefficient in two-dimensional space.
The problem on the...
Mr
Nikita Nizovtsov
(Saint-Petersburg State University)
9/10/18, 4:00 PM
In the report application of porting optimization on heteregeneous systems in the field of wave propagation modelling is discussed. Also, reviews of organization of computing in frame of OpenFOAM package and estimations of effectiveness of application porting on heteregeneous systems are given for the wave propagation problem in fluid. Evaluations of the difficulty and time required for...
Mrs
Svetlana Shikota
(Science Center in Chernogolovka)
9/10/18, 4:00 PM
Poster presentations
Платформа TensorFlow является одним из наиболее развитых наборов программных продуктов с открытым кодом для задач машинного обучения. С другой стороны, рабочие станции на базе процессоров Intel® Xeon® Platinum представляются перспективным аппаратным решением для задач машинного обучения. Их отличительная черта состоит в комбинации из трех важных элементов. Во-первых, это большое число тяжелых...
Dr
Mikhail Naumenko
(Joint Institute for Nuclear Research)
9/10/18, 4:00 PM
Poster presentations
The structure of lithium isotopes and nuclear reactions with their participation are extensively studied both experimentally and theoretically. In this work, the wave functions of the ground states of few-body nuclei 6,7,9,11Li are calculated by Feynman’s continual integrals method in Euclidean time. The algorithm of parallel calculations was implemented in C++ programming language using...
Mr
Dmitry Zinchenko
(JINR)
9/10/18, 4:00 PM
Poster presentations
At present, the accelerator complex NICA [1] is being built at JINR (Dubna). It is intended for performing experiments to study interactions of relativistic nuclei and polarized particles (protons and deuterons). One of the experimental facilities MPD (MultiPurpose Detector) [2] was designed to investigate nucleus-nucleus, proton-nucleus and proton-proton interactions.
Preparation of the...
Mr
Migran Gevorkyan
(PFU)
9/10/18, 4:00 PM
Poster presentations
Pseudorandom uniform distributed number generators are used in many fields of science and technology [1]. It is very important to test the quality of pseudo-random sequence produced by an algorithm. An overview of a large number of criteria for testing the quality of the sequence produced by pseudo-random generators can be found in the third chapter of [2], as well as in the article [3]. One...
Mr
Konstantin Shefov
(Saint Petersburg State University)
9/10/18, 4:00 PM
Poster presentations
Strongin's multifactorial global search algorithm (MGSA) allows one to find an absolute minimum of a function of multiple variables on a mesh. In this contribution a parallel program is presented that implements the algorithm above applied to ReaxFF MD force field parameter search.
The MGSA converges the faster, the greater number of mesh points have computed target function value in them. In...
Dr
Stepanova Margarita
(SPbSU)
9/10/18, 4:00 PM
Poster presentations
In a wide range of modern problems, it is required to estimate an influence of uncertainty of input parameters on uncertainty of an output value of a modeling function. In this contribution, we present algorithms for analyzing the sensitivity of a target function with respect to parameters in the problem of optimization of ReaxFF molecular-dynamic force field. In this particular case it...
Mr
Andrey Drevitskiy
(Peoples’ Friendship University of Russia)
9/10/18, 4:00 PM
Poster presentations
In this paper the algorithm of finding eigenvalues and eigenfunctions for the leaky modes in a three-layer planar dielectric waveguide is considered. The problem on the eigenmodes of open three-layer waveguides is formulated as the Sturm-Liouville problem with the corresponding boundary and asymptotic conditions. In the case of guided and radiation modes of open waveguides, the Sturm-Liouville...
Elena Korosteleva
(Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University)
9/10/18, 4:00 PM
Poster presentations
The exponential growth of the amount of astroparticle data is expected to happen in near future. This trend gives rise to a number of emerging issues of big data management. One of the important issues is how to describe and verify raw binary data to support their availability and reuse in future. The present work demonstrates a possible solution for this issue in application to data of TAIGA...
Mr
Sergey Poluyan
(Dubna State University)
9/10/18, 4:00 PM
Poster presentations
In this work, we study evolutionary optimization algorithms for solving the problems in structural bioinformatics: prediction of three-dimensional peptide structure from amino acid sequence and peptide-protein docking. We provide a way of using evolutionary optimization algorithms based on using quantile functions. The used schemes for building and using of the quantile functions were...
Mr
Sergey Poluyan
(Dubna State University)
9/10/18, 4:00 PM
Poster presentations
Работа посвящена вопросам крупно-блочной параллельной реализации методов эволюционной и роевой оптимизации на примере решения задачи минимизации функций действительного аргумента. Рассматривается субпопуляционная схема распараллеливания. Предлагается классификация паттернов параллельного взаимодействия субпопуляций, выполненная на основе анализа ряда методов рассматриваемого класса....
Mr
Andrey Shevchenko
(Vladimirovich)
9/10/18, 4:00 PM
Poster presentations
Когнитивно-интеллектуальная система адаптации и обучения детей-аутистов предназначена для извлечения, обработки и формирования программы обучения на основе когнитивных процессов, в частности ЭЭГ сигналов, адаптации детей- аутистов к социуму и обучения базовым бытовым навыкам. Основной частью КИСДАОДА является модуль обработки данных.
Модуль обработки данных представляет собой структуру...
Ms
Alla Mamaeva
(Alexandrovna)
9/10/18, 4:00 PM
Poster presentations
Когнитивно-интеллектуальная система адаптации и обучения детей-аутистов предназначена для извлечения, обработки и формирования программы обучения на основе когнитивных процессов, в частности ЭЭГ сигналов, адаптации детей- аутистов к социуму и обучения базовым бытовым навыкам.
Рассмотрена и проанализирована возможность программной реализации определения уровня эмоционального возбуждения....
Mr
Денис Кравченко
(Михайлович)
9/10/18, 4:00 PM
Poster presentations
Для решения задач распознавания образов применяют методы машинного обучения, одним из которых являются искусственные нейронные сети (ИНС). Их реализация была подсмотрена у природы и похожа на сети нервных клеток живого организма. Работа ИНС повторяет некоторые функции головного мозга и делится на два этапа: обучение нейронной сети, которое позволяет ей выстраивать собственные правила с помощью...
Maxim Bystrov
(Dubna State University)
9/10/18, 4:00 PM
Poster presentations
Работа посвящена проблемам прогнозирования пространственной структуры белковых молекул, полипептидов и их комплексов. Предлагаемый нами метод основан на решении задачи оптимизации, в которой целевой функцией является потенциальная энергия молекулы, а параметрами оптимизации – длины связей между атомами и углы вращения. Главными особенностями таких задач является большая размерность и высокая...
Dr
Tatiana Strizh
(JINR)
9/11/18, 8:00 AM
Plenary reports
This talk summarizes five years of operational experience of the WLCG Tier1 computer centre at the Laboratory of Information Technologies of Joint Institute for Nuclear Research, which serves the CMS experiment at LHC. In early 2013 the Tier1 prototype was deployed and its trial operation began. March, 2015 is the date of finalization of this complex and commissioning a full-scale Tier1 centre...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
9/11/18, 9:00 AM
Currently, the problem of "Big Data" is one of the most, if not the most urgent in computer science. Its solution implies the possibility of processing uncorrelated and heterogeneous data of large volume, the implementation of their integration from distributed sources by consolidation or federalization methods and ensuring the security of access and storage of these data. Only the creation of...
Mr
Alexey Anisenkov
(BINP)
9/11/18, 9:30 AM
Plenary reports
The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centers affiliated with several partner projects. It is built by integrating heterogeneous compute and storage resources in diverse data centers all over the world and provides CPU and storage capacity to the LHC experiments to perform data processing and physics analysis at petabytes scale data operations....
Prof.
Lev Shchur
(Landau Institute for Theoretical Physics, Science Center in Chernogolovka)
9/11/18, 10:20 AM
Plenary reports
Population annealing algorithm designed for the simulations of the statistical mechanics systems with rugged free energy landscape. We report on the realization of the algorithm for the use on the hybrid computing architecture combining CPU and GPGPU. Algorithm is fully scalable. We report application of the developed realization to several interesting problems. Algorithm can be applied to any...
Alexey ABRAMOV,
Anton EVSEEV
9/11/18, 10:50 AM
Prof.
Dario Barberis
(University and INFN Genova (Italy))
9/11/18, 11:20 AM
Plenary reports
The ATLAS experiment produced hundreds of petabytes of data and expects to have one order of magnitude more in the future. This data are spread among hundreds of computing Grid sites around the world. The EventIndex catalogues the basic elements of these data - real and simulated events. It provides the means to select and access event data in the ATLAS distributed storage system, and provides...
Dr
Dmitry Podgainy
(JINR)
9/11/18, 11:50 AM
Plenary reports
The report provides description of the “HybriLIT” heterogeneous platform that is a component of the Multipurpose information and computing complex (MICC) of JINR. HybriLIT includes “GOVORUN” supercomputer and education and testing polygon; its platform is based on the latest computation architectures (processors; co-processors; graphical accelerators), and also modern software such as Intel...
Nikolay MESTER
(Intel)
9/11/18, 12:10 PM
Mr
Danila Oleynik
(JINR LIT)
9/11/18, 1:30 PM
Sectional reports
The Oak Ridge Leadership Computing Facility (OLCF) is one of the most powerful HPC centers available to researchers from different scientific fields to solve some of the world’s most challenging scientific problems. Small scientific groups often need to develop expertise to optimize their applications for running on Titan, and to fit the usage policies of such big machines. We have installed...
Irina Filozova
(JINR)
9/11/18, 1:30 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
This paper is dedicated to the current state of the Geometry Database (Geometry DB) for the CBM experiment and a first result of using the Geometry DB for NICA project. Geometry DB is an information system that supports the CBM geometry. The main aims of Geometry DB are to provide the storage of the CBM geometry, to manage the geometry modules, to assemble various setups as combinations of...
Alexey Vorontsov
(LIT, JINR)
9/11/18, 1:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
A complex engineering infrastructure has been developed to support Govorun supercomputer that is expansion of the HybriLIT heterogeneous cluster. This infrastructure combines integration of two solutions on cooling systems: air cooling system for the GPU-component and water cooling system for the CPU-component based on the solution of the RSC Group.
The report provides a review of the...
Andrey Kondratyev
(JINR)
9/11/18, 1:30 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
Всвязи с увеличением объема информации получаемой в ходе эксперимента ALICE на Большом Адронном Коллайдере, повышаются требования к системам сбора данных с детекторов, например увеличение пропускной способности. Одним из возможных методов решения данной проблемы является использование TRB-3 платформы. Решение представляет собой глубокую модернизацию существующей модели сбора данных.
Andrey Ivanov
(Moscow Institute of Physics and Technology)
9/11/18, 1:45 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
We consider well known cache optimization techniques to find the most efficient one when applied to grid-characteristic method. Grid-characteristic method is used to solve elastic wave equation. Elastic wave equation is hyperbolic system of equations inferred from model of linear elastic material, which describes propagation of elastic waves in deformable rigid bodies. The solution to this...
Mr
Anatoly Minzov
(MPEI)
9/11/18, 1:45 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
The article discusses issues of ensuring the integrity of information over a long period of time. This task was not raised earlier. However, experience shows that in the long periods of time in electronic archives there can be an uncontrolled change in information and even its disappearance. Attacks on the integrity of electronic archives can be targeted. This requires the creation of...
Dmitry Belyakov
(JINR)
9/11/18, 1:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The heterogeneous platform «HybriLIT» provides users with ample opportunities for conducting parallel calculations and modeling of new experiments in the field of high energy physics. The platform consists of two clusters: a training and test polygon «HybriLIT» and supercomputer named after Govorun N.N. High performance servers with Intel Xeon series E5, Intel Xeon series Gold (Skylake) and...
Daria Priakhina
(ЛИТ)
9/11/18, 1:45 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
В рамках работ по созданию компьютерной системы хранения и обработки данных установок B@MN и MPD, входящих в проект коллайдера NICA, возникает проблема выбора оптимальной конфигурации необходимого компьютерного и сетевого оборудования. Для решения этой проблемы требовалось разработать и исследовать модель перемещения данных внутри системы. Предыдущий опыт моделирования авторов настоящей...
Ms
Shushanik Torosyan
(LIT)
9/11/18, 2:00 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
In order to increase the efficiency of the application development and of the computations using the resources of the GOVORUN supercomputer, an IT-ecosystem that includes a set of services for users is being actively developed. The maintenance of the current services and the development of new ones is a key prerequisite since they secure to the users modern tools for efficient organization of...
Dr
Eduard Nikonov
(LIT JINR)
9/11/18, 2:00 PM
Sectional reports
Theoretical and experimental investigations of water vapor interaction with porous materials are very needful for various fields of science and tech-nology. Not only studies of the interaction of water vapor and porous material as a continuous medium, but also the study of the interaction of water vapor with individual pore is very important in these researches. Mathematical mod-eling occupies...
Mr
Mikhail Mineev
(JINR)
9/11/18, 2:00 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
The trigger information is an important part of the ATLAS event data. In the EventIndex trigger information is collected for various use cases, including event selection and overlap counting. Decoding the trigger information from the event records, stored as a bit mask, requires additional input from the conditions metadata database, as trigger configurations evolve with time. It depends on...
9/11/18, 2:00 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
A critical challenge of high-luminosity Large Hadron Collider (HL-LHC), the next phase in LHC operation, is the increased computing requirements to process the experiment data. Coping with this demand with today’s computing model would exceed a realistic funding level by an order of magnitude. Many architectural, organizational and technical changes are being investigated to address this...
Dr
Andrey Demichev
(SINP MSU)
9/11/18, 2:15 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
Provenance metadata (PMD) contain key information that is necessary to determine the origin, authorship and quality of corresponding data, their proper storage, correct using, and for interpretation and confirmation of relevant scientific results. The need for PMD is especially essential when big data are jointly processed by several research teams, which is a very common practice in many...
Mr
Vladimir Gaiduchok
(Saint Petersburg Electrotechnical University "LETI", Russia)
9/11/18, 2:15 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
Linux networking performance is excellent. Linux networking stack is perfect, it is very effective. There are many options that could be configured for different cases. This article is devoted to questions related to networking stack implementation and configuration. Questions related to effective configuration will be discussed. Possible problems and solutions will be shown. Different options...
Pavel Lavrenko
(RSC Group)
9/11/18, 2:15 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Nowadays there are a lot of loosely connected layers in datacenter
management systems such as: datacenter facilities, computing nodes,
storage systems, networks or job schedulers. We see the need to have a
comprehensive approach to manage these resources as a whole.
The talk covers our search for optimal methods and tools to manage data
processing infrastructure - to incorporate best...
ALEXANDER OLEYNIKOV
(IRE RAS), Mr
Andrey Kamenshchikov
(Kotelnikov Institute of Radioengineering and Electronics of Russian Academy of Sciences)
9/11/18, 2:15 PM
Sectional reports
As it is known, at the present time worldwide there is a transition to the so called FOURTH PARADIGM in the methods and means of scientific researches [1]. The essence of the FOURTH PARADIGM is the intensive use of information technologies for the simultaneous using of large amounts of experimental data, numerical simulation results and accumulated knowledge. It is obvious that this requires...
Mr
Qingbao Hu
(IHEP)
9/11/18, 2:30 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
LHAASO The on line machinecomputer room of LHAASO experiment located at has high altitude and poor natural environment. As t, and there is no permanent resident maintenance manpowerpersonnel, so it needs to deploy an automatic operation and maintenance system for the remote management.
According to the characteristics of the LHAASO cluster management, we have designed a distributed monitoring...
Mr
Grigore Secrieru
(RENAM)
9/11/18, 2:30 PM
Sectional reports
The article is devoted to the analysis of approaches and solutions for the development and use of the electronic infrastructure for offering srvices to science and education in the Republic of Moldova. In the paper is considering of trends in the development of the electronic infrastructure and services in the national network RENAM, which provides effective information support for basic...
Mr
Andrey Kiryanov
(PNPI)
9/11/18, 2:30 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
WLCG DataLake R&D project aims at exploring an evolution of distributed storage while bearing in mind very high demands of HL-LHC era. Its primary objective is to optimize hardware usage and operational costs of a storage system deployed across distributed centers connected by fat networks and operated as a single service. Such storage would host a large fraction of the WLCG data and optimize...
Pavel Lavrenko
(RSC Group)
9/11/18, 2:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
A continuous growth of compute power and amount of data for processing
demands a proportional growth of storage system performance and
capacity. However traditional ways to scale storage systems are
expensive and inflexible, thus we need to look for new approaches.
Upon rethinking the datacenter architecture for data processing RSC came
up with an idea to converge compute and storage...
Dr
Alexander Uzhinskiy
(Dr.)
9/11/18, 2:45 PM
11. Big data Analytics, Machine learning
Sectional reports
The aim of our research is to facilitate the detection and preventing diseases of agricultural plants by combining deep learning and programming services. The idea is to develop multifunctional platform for plant disease detection (PDD) that will use modern organization and deep learning technologies to provide new level of service to farmer’s community. Web-platform for PDD consists of a set...
Mr
Igor Pelevanyuk
(JINR)
9/11/18, 2:45 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
Tier-1 center for CMS in JINR has been successfully operating since 2015. Monitoring is an important aspect of ensuring its performance. Hardware monitoring of the Tier-1 center had been introduced at construction time and was constantly upgraded with the center. The scientific community makes use of the resources through Grid services that depend on more low-level services. A dedicated...
Mr
Haibo Li
(Institute of High Energy Physics,Chinese Academy of Sciences)
9/11/18, 2:45 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
Nowadays, data storage and management in cloud computing environment has been very important in high energy physics filed. The LHAASO(Large High Altitude Air Shower Observatory) experiment of IHEP will generate 2 PB per year in the future. These massive data processing faces many challenges in the distributed computing environment. For example, some sites may have no local HEP storage which...
Mrs
Marina Golosova
(National Research Center "Kurchatov Institute")
9/11/18, 3:30 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
ATLAS experiment at the CERN LHC is one of the most data-intensive modern scientific apparatus. To help managing all the experimental and modelling data, multiple information systems were created during the experiment's lifetime (more than 25 years). Each such system addresses one or several tasks of data and workload management, as well as information lookup, using specific sets of metadata...
Martin Vala
(JINR)
9/11/18, 3:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Data environments are growing exponentially and the complexity of data analysis is becoming critical issue. The goal of SALSA project is to provide tools to make connection between human and computer to understand and learn from each other. Analysis of different parameters in N-dimensional space should be made easy and intuitive. Task distribution system has to be adaptive to the enviroment...
Tatiana Korchuganova
(National Research Tomsk Polytechnic University)
9/11/18, 3:30 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
Currently-running large-scale scientific projects involve unprecedented amounts of data and computing power. For example, the ATLAS experiment at the Large Hadron Collider (LHC) has collected 140 PB of data over the course of Run 1 and this value increases at rate of ~800 MB/s during the ongoing Run 2 and recently has reached 350 PB. Processing and analysis of such amounts of data demands...
Vladimir Bezrodny
(Mari State University)
9/11/18, 3:30 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
Синтезирование апертуры представляет собой технический прием, позволяющий существенно повысить разрешающую способность радиолокатора в поперечном относительно направления полета направлении и получить детальное изображение радиолокационной карты местности, над которой совершает полет ЛА [1]. Для моделирования отражения сигнала от поверхности используется фацетная модель поверхности,...
Mr
Minh Duc Nguyen
(Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University)
9/11/18, 3:45 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
A distributed data warehouse system is one of the actual issues in the field of astroparticle physics. Famous experiments, such as Tunka, Taiga, produce tens of terabytes of data measured by their instruments. It is critical to have a smart data warehouse system on-site to store the collected data for further distribution effectively. It is also vital to provide scientists with a handy and...
Andrey Bulatov
(State University Dubna, JINR)
9/11/18, 3:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Scientists in high energy physics produce their output mostly in form of histograms. Set of histograms are saved in output file for each grid job. As the next step is to merge these files/histograms to one file where scientist can produce final plots for publication. Merging of these out files may be done sequentially as one job or do it in parallel via binary tree algorithm as it is done by...
Mr
Aleksandr Alekseev
(National Research Tomsk Polytechnic University)
9/11/18, 3:45 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
The BigPanDA monitoring system is a Web application created to deliver the real-time analytics, covering many aspects of the ATLAS experiment distributed computing. The system serves about 35000 requests daily and provides critical information used as input for various decisions: from distribution of the payload among available resources to issue tracking related to any of 350k jobs running...
Андрей Илюхин
(Dubna International University)
9/11/18, 3:45 PM
4. Scientific, industry and business applications in distributed computing systems
Sectional reports
Интернет находится в центре революций: централизованные проприетарные сервисы подвергаются замене на их децентрализованные аналоги со свободными лицензиями; доверенные третьи стороны юридических и финансовых договоров заменяются верифицируемыми вычислениями; неэффективные монолитные сервисы уступают место одноранговым алгоритмическим рынкам. Bitcoin, Ethereum и другие сети, фундаментом которых...
Dr
Vladimir Korkhov
(St. Petersburg State University)
9/11/18, 4:00 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. The wide spread of computing clusters led to the active development of task management systems, however, many issues, in particular, migration issues, have not yet been resolved. In this paper, we consider the organization of a virtual cluster created with virtualization...
Prof.
Vladimir Dimitrov
(University of Sofia)
9/11/18, 4:00 PM
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
Several years after the initial announcement of the relational model of data, Codd published a review on the model, so called Version 2. This review is based on the experience of relational database systems implementation in the intermediate period. One of the main corrections are recommendation on date and time data types. This paper reinvestigate the topic from the nowadays point of view.
Ms
Grigorieva Maria
(NRC KI)
9/11/18, 4:00 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
ATLAS is the largest experiment at the LHC. It generates vast volumes of scientific data accompanied with auxiliary metadata. These metadata represent all stages of data processing and Monte-Carlo simulation, as well as characteristics of computing environment, such as software versions and infrastructure parameters, detector geometry and calibration values. The systems responsible for data...
Ms
Evgenia Popova
(Financial University under the Government of the Russian Federation), Prof.
eugene shchetinin
(Financial University under the Government of the Russian Federation)
9/11/18, 4:00 PM
Sectional reports
Интеллектуальные технологии энергосбережения и энергоэффективности являются со-временным масштабным мировым трендом не только в развитии энергетических систем, но и в строительном, девелоперском бизнесе. Спрос на «умные» здания растет не только в мире, но и в России, прежде всего на рынке строительства и эксплуатации крупных бизнес-центров, торгово-развлекательных центров и др....
Mr
Andrei Kazymov
(JINR), Mr
Evgeny Alexandrov
(JINR)
9/11/18, 4:15 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
The ATLAS EventIndex collects event information from data both at CERN and Grid sites. It uses the Hadoop system to store the results, and web services to access them. Its successful operation depends on a number of different components, that have to be monitored constantly to ensure continuous operation of the system. Each component has completely different sets of parameters and states and...
Алексей Перевозчиков,
Евгений Максимов
9/11/18, 4:15 PM
Dr
Vasily Khramushin
(Saint-Petersburg State University)
9/11/18, 4:15 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
В исследовательском проектировании, построении и последующем анализе достоверности моделируемых процессов в ресурсоемких вычислительных экспериментах, что особо востребуется при изучении нестационарных процессов в механике сплошных сред, становится весьма актуальным использование открытой и легко модифицируемой программной среды для пространственной визуализации быстротекущих физических...
Igor Tkachenko
(NRC "Kurchatov Institute")
9/11/18, 4:30 PM
2. Operation, monitoring, optimization in distributed computing systems
Plenary reports
The issues of development and modernization of the Tier-1 center at the National Research Center "Kurchatov Institute" are considered in accordance with the changing requirements of experiments at the Large Hadron Collider. Increasing requirements for computing resources, drived by increase in simulations, led to an increase in their volumes, which in turn required the development of...
Dr
Vasily Khramushin
(Saint-Petersburg State University)
9/11/18, 4:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
При реализации сложных прикладных вычислительных экспериментов, в проектировании, разработке и построении программных комплексов востребуется особая логика синтеза числовых структур для описания физических явлений в тесной связи с требованиями эффективного применения моделирующих операций гидромеханики на фоне непрерывной графической визуализации всех пространственных процессов.
В конкретной...
Victoria Matskovskaya
9/11/18, 4:45 PM
2. Operation, monitoring, optimization in distributed computing systems
Sectional reports
High energy physics community needs metrics that allow to characterize the resource usage of the experiments workloads detailed enough so that the impact of changes in the infrastructure or the workload implementations can be quantified with a precision high enough to guide design decisions towards improved efficiencies. This model has to express the resource utilization of the workloads in...
Dr
Tatiana Sapozhnikova
(JINR)
9/11/18, 4:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Библиотеки и пакеты прикладных программ, доступные пользователям ЭВМ ОИЯИ
Попкова Л.В., А. П. Сапожников, Т. Ф. Сапожникова
Объединённый институт ядерных исследований
Лаборатория информационных технологий
Информация о библиотеках и пакетах прикладных программ, поддерживаемых и сопровождаемых в ЛИТ ОИЯИ - JINRLIB, CERNLIB, CPCLIB - размещена на сайте ...
Ivan Kashunin
(JINR)
9/11/18, 5:00 PM
Dr
Igor Semenov
(Project Center ITER)
9/12/18, 8:00 AM
Plenary reports
Тезисы доклада
В настоящее время в России, на базе Проектного Центра ИТЭР, создан прототип Центра удаленного участия в экспериментах на крупных физических установках - Remote Participation Center. Цель – создание единой исследовательской среды научно-исследовательских центров, лабораторий и университетов, участвующих в исследованиях по управляемому термоядерному синтезу. Основной задачей...
Mr
Viktor Kotliar
(IHEP)
9/12/18, 8:30 AM
Plenary reports
Cluster management system is a core part of any computing infrustructure. Such system
includes components for allocating and controling over resources for different computing tasks,
components for configuration management and software distribution on the computing hardware,
components for monitoring and management software for the whole distributed infrustructure. The
main goals of such...
Дмитрий Галкин
9/12/18, 10:00 AM
Alexander MOSKOVSKY
9/12/18, 10:40 AM
Dr
Alexei Klimentov
(Brookhaven National Lab)
9/13/18, 8:30 AM
Plenary reports
The PanDA software is used for workload management on distributed grid resources by the ATLAS experiment at the LHC. An effort was launched to extend PanDA, called BigPanDA, to access HPC resources, funded by the US Department of Energy (DOE-ASCR). Through this successful effort, ATLAS today uses over 25 million hours monthly on the Titan supercomputer at Oak Ridge National Laboratory. Many...
Dr
Andrei Tsaregorodtsev
(CPPM-IN2P3-CNRS)
9/13/18, 9:00 AM
Plenary reports
The software framework developed by the DIRAC Project provides all the necessary components for building distributed computing systems for large-scale scientific collaborations. It supports both workload and data management tasks, therefore providing an integral solution for computing models of various scientific communities. DIRAC is used by several large High Energy Physics experiments, most...
Prof.
Ivan (for the CBM collaboration) Kisel
(Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany, Frankfurt Institute for Advanced Studies, Frankfurt am Main, Hesse, Germany GSI Helmholtz Centre for Heavy Ion Research, Darmstadt, Germany)
9/13/18, 9:30 AM
Plenary reports
CBM is a future heavy-ion experiment at FAIR, Darmstadt. It is characterised by up to 10 MHz collision rates, a large amount of produced particles, non-homogeneous magnetic fields and a very complex detector system. Event reconstruction is the most complicated and time consuming task of the data analysis in the CBM experiment with up to one thousand particles per central collision. An...
Prof.
Sergey V. Ulyanov
(Doctor of Science in mathematics and physics)
9/13/18, 10:30 AM
Plenary reports
In report a new approach for deep machine learning and pattern recognition based on quantum neural network and quantum genetic algorithm is described. The structure of quantum fuzzy neural network is considered. Examples of pattern recognition is described. The method of global optimization in control problems is considered on example of quantum genetic algorithm. The structure on quantum...
Prof.
Alexander Degtyarev
(Professor)
9/13/18, 11:00 AM
Complex modeling of the behavior of marine objects under the influence of real external excitation is the most important problem. At present, the accuracy of direct simulation of phenomena with known physics is comparable to the accuracy of the results obtained during the model experiment in towing tanks. Particularly relevant is the creation of such marine virtual testbed for full-featured...
Dr
Rudolf Vohnout
(GÉANT/CESNET)
9/13/18, 11:30 AM
Plenary reports
With the focus on cloud services and the benefits of using the exclusive contracts with major cloud providers made by the effort of the community, GÉANT provides unique access to the cloud resources for all its members.
Based on CERN experience and data generated by LHC, especially with CMS experiment, working with physics community has been always challenging for GEANT so as the...
Mr
George Adamov
(JINR)
9/13/18, 1:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Software packages, created for the modern physics experiments, present a sets intertwined code structures, written by different people and bundled together to perform range of different reconstruction and analysis tasks on the experimental data. Sometimes due to complicated nature of such frameworks a new set of tools is required to simplify their further development. In this work we...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
9/13/18, 1:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
This work is devoted to the development of guidelines for the porting of existing applications to GPGPU. The paper provides an overview of the current state of the parallel computation area with respect to GPGPU. Various approaches to the organization of parallel computations are considered, and their effectiveness is evaluated in relation to the application under study. Special attention is...
Dr
Valery Grishkin
(SPbGU)
9/13/18, 1:30 PM
The paper proposes an algorithm for segmentation of text, applied or presented in photorealistic images, characterized by a complex background. Because of its application, the exact location of image regions containing text is determined. The algorithm implements the method for semantic segmentation of images, while the text symbols serve as detectable objects. The original images are...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
9/13/18, 1:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The problem of porting programs from one hardware platform to another has not ceased to be less relevant and simpler with time. The need to transfer programs to platforms with different architectures can have different roots. One of them is to increase the efficiency of executing programs for mass calculations on multiprocessor systems and clusters.
The purpose of our work is to identify the...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
9/13/18, 1:45 PM
Algorithms for predicting the dynamics of stock options and other assets derivatives for both small times (where one plays on market fluctuations), and medium ones (where trade is stressed at the beginning and closing moments) are well developed, and trading robots are actively used for these purposes.
Analysis of the dynamics of assets for very long time-frames (of several months order) is...
Mrs
Elizaveta Dorenskaya
(ITEP)
9/13/18, 1:45 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
One of the qualitative ways to minimize software errors is to check the code by as many users as possible (the "many eyes" principle). We propose a new approach which goes well with this technique. This is the minimization of human participation in writing program codes. The implementation of this approach has be made in such a way that the machine itself creates the program code according to...
Dr
Konstantin Gertsenberger
(JINR)
9/13/18, 2:00 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Simulation and experimental data processing is an important issue in modern high-energy physics experiments. High interaction rate, high particle multiplicity and long sequential processing time of millions of events are the main reasons to parallelize data processing on distributed computing systems for the NICA experiments. The report presents one of the directions of distributed event...
Ms
IULIIA GAVRILENKO
(Research Assistant, Plekhanov Russian University of Economics, Moscow, Russia)
9/13/18, 2:00 PM
The Worldwide LHC Computing Grid (WLCG) is a global collaboration of more than 170 computing centres in 42 countries and the number is expected to grow in the coming years. However, provisioning resources (compute, network, storage) at new sites to support WLCG workloads is still no straightforward task and often requires significant assistance from WLCG experts. Recently, the WLCG community...
Mr
Alexander Ayriyan
(Laboratory of Information Technologies, JINR)
9/13/18, 2:00 PM
Anna Shaleva
(Saint-Petersburg State University)
9/13/18, 2:00 PM
The paper examines the practical issues in developing a speech-to-text system using deep neural networks. The development of a Russian-language speech recognition system based on DeepSpeech architecture is described. The Mozilla company’s open source implementation of DeepSpeech for the English language was used as a starting point.
The system was trained in a containerized environment using...
Mr
Anton Gavrikov
(Saint Petersburg State University)
9/13/18, 2:15 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
One of the key stages in ship design process is the modeling of its behavior on the wavy sea surface, carried out with the expected operational characteristics taken into account. Similar modeling process could be done within real conditions at virtual testbed, which allows to monitor the influence of external disturbances on ship's running characteristics in real time with sensors installed...
Dmitry Selivanov
(Saint-Petersburg State University)
9/13/18, 2:15 PM
The paper describes a solution that reconstructs the texture in 3D models of archeological monuments and performs their visualization. The software we have developed allows to model the outward surface of objects in various states of preservation. Drawings and photographs of preserved wall fragments and stonework elements are used in the modelling process. Our work resulted in development of a...
Mikhail Titov
(National Research Centre «Kurchatov Institute»)
9/13/18, 2:15 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
The second generation of the Production System (ProdSys2) of the ATLAS experiment (LHC, CERN), in conjunction with the workload management system - PanDA (Production and Distributed Analysis), represents a complex set of computing components that are responsible for defining, organizing, scheduling, starting and executing payloads in a distributed computing infrastructure. ProdSys2/PanDA are...
Ruslan Kuchumov
(Saint Petersburg State University)
9/13/18, 2:30 PM
Cloud computing became a routine tool for scientists in many domains. In order to speed up an achievement of scientific results a cloud service for execution of distributed applications was developed. It obviates users from manually creating and configuring virtual cluster environment or using batch scheduler and allows them only to specify input parameters to perform their computations. One...
Dr
Mikhail Prokudin
(ITEP)
9/13/18, 2:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
The CBM will be the first experiment employing a new data threating technique. All data collected from the CBM detector will be transported to computer farm. Physical objects (such as tracks and vertexes) will be reconstructed at the real time and interesting events will be stored for further detailed analysis. A unit of data in this approach is a timeslice – all data collected from the...
Anastasia Iashnikova
(Saint-Petersburg State University)
9/13/18, 2:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The paper describes an algorithm for Eulerian simulation of incompressible fluids—Schrödinger's Smoke. The algorithm is based on representing models as a system of particles. Each particle represents a small portion of a fluid or amorphous material. A particle has a certain ‘lifespan’, during which it may undergo various changes. The Schrödinger's Smoke solver algorithm was implemented in...
Mr
Aleksey Kulnevich
(Dmitrievich)
9/13/18, 2:30 PM
There are two popular algorithms for text vector extraction: bag of words and skip-gram. The intuition behind it is that a word can be predicted by context and context can be predicted from a word. The vector size of a word is the number of neurons in the hidden layer.
The task of named entity recognition can be solved by using LSTM neural networks. The features for every word can be...
Mr
Ivan Petriakov
(Saint Petersburg State University)
9/13/18, 2:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Software suites for ship simulations are typically used for statistical studies of ship dynamics, but also as a simulator for training ship crew in dangerous situations. One problem that arises during training is speeding-up a part of the session which does not involve actions from the crew. The aim of the study reported here is to accelerate solution of ship motions equations using general...
Anna Shaleva
(Saint-Petersburg State University)
9/13/18, 2:45 PM
Currently there are hardly any open access corpora of transcribed speech in Russian that can be effectively used to train those speech recognition systems that are based on deep neural networks—e.g., DeepSpeech.
This paper examines the methods to automatically build massive corpora of transcribed speech from open access sources in the internet, such as radio transcripts and subtitles to...
Mr
ivan korolko
(ITEP - NICKI)
9/13/18, 2:45 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
ITEP-FRRC HPC facility was built in 2011-2014 as a common project of State Atomic Energy Corporation ROSATOM and Helmholtz Association of German Research Canters. It utilizes the concept of “green computing” which was invented by GSI/FAIR scientists. Facility is used for FAIR related studies by various groups from ITEP and other Russian physics centers. After 7 years of successful HPC...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
9/13/18, 3:30 PM
Cloud Computing stands out from any other distributed computing paradigm by offering services on-demand basis which are not limited to any geographical restrictions. Consequently this has revolutionized the computing by providing services to wide scope of customers starting from casual users to highly business oriented Industries. Despite of its capabilities, Cloud Computing still faces...
Andrey Lebedev
(GSI, Darmstadt)
9/13/18, 3:30 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
The Dynamic Deployment System (DDS) is a tool-set that automates and significantly simplifies a deployment of user-defined processes and their dependencies on any resource management system (RMS) using a given topology. DDS is a part of the ALFA framework.
A number of basic concepts are taken into account in DDS. DDS implements a single responsibility principle command line tool-set and...
267.
Particle identification in ground-based gamma-ray astronomy using convolutional neural networks
Evgeny Postnikov
(SINP MSU)
9/13/18, 3:30 PM
Modern detectors of cosmic gamma rays are a special type of imaging telescopes (Cherenkov telescopes) supplied with cameras with relatively large number of photomultiplier-based pixels. For example, the camera of the TAIGA telescope has 560 pixels of hexagonal structure. Images in such cameras can be analyzed by various deep learning techniques to extract numerous physical and geometrical...
Mr
Vasily Golubev
(Moscow Institute of Physics and Technology)
9/13/18, 3:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Nowadays the HPC systems are very widespread in the world. Due to their computational power it is possible to simulate with a high precision a lot of phenomena: drugs development, seismic survey process, hydraulic fracturing and multi-component fluid flow, human-human interaction, high-speed collisions in open space, tsunami and earthquake initiation. That is why the development of modern...
Mr
Vladislav Radishevskiy
(Leonidovich)
9/13/18, 3:45 PM
Extraction of information from texts is a crucial task in the area of Natural Language Processing. It includes such tasks as named-entity recognition, relationship extraction, coreference resolution, etc. These problems are being resolved using two approaches. The first one is the rules-based approach and the second one is machine learning. Solutions based on machine learning are currently...
Mr
Vasily Golubev
(Moscow Institute of Physics and Technology)
9/13/18, 3:45 PM
Sectional reports
At present, oil and natural gas form the basis of energy throughout the world. In view of significant depletion of reserves, the task of prospecting and exploration of new deposits is becoming increasingly important. In the industry the specific migration procedure is used to find contrast interfaces between geological layers with different properties. It should be noted that algorithms...
Dr
Nikolay Kutovskiy
(JINR)
9/13/18, 3:45 PM
Sectional reports
The report covers details on such aspects of the JINR cloud development as migration to RAFT-based algorithm high availability setup, Ceph-based storage back-end for VM images and DIRAC-based grid platform for external partner clouds integration into distributed computational cloud environment.
Pavel Osipov
(State University "Dubna")
9/13/18, 3:45 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
The paper considers modern problems of information security, the main stages of the implementation of attacks. The stages of implementing the concept of proactive protection, a technique for describing possible attacks are described, an example of a prototype of a proactive defense system is described.
Keywords: information security, proactive protection, information systems.
Mr
Maxim Zuev
(JINR)
9/13/18, 4:00 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The report presents the work on developing of a software package for investigating the system of long Josephson junctions. It makes possible to perform computations on heterogeneous computation architectures: Intel processors (CPU), Intel Xeon Phi processors (KNL), NVIDIA graphics processors (GPU). A comparative analysis of the acceleration and efficiency of the developed parallel...
Mr
Artem Petrosyan
(JINR)
9/13/18, 4:00 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
Since the fall of 2017 COMPASS processes data on heterogeneous computing environment, which includes computing resources at CERN and JINR. Computing sites of the infrastructure work under management of workload management system called PanDA (Production and Distributed Analysis System).
At the end of December 2017, integration of BlueWaters HPC to run COMPASS production jobs has begun....
Mr
Ivan Sokolov
(Alexandrovich)
9/13/18, 4:00 PM
Cloud computing became a routine tool for scientists in many domains. The JINR cloud infrastructure provides JINR users computational resources for performing various scientific calculations. In order to speed up achievements of scientific results the JINR cloud service for parallel applications was developed. It is a application-specific web-interface. It consists of several components and...
Mr
Mikhail Mazhitov
(Private establishment «Nazarbayev University Library and IT Services»)
9/13/18, 4:15 PM
The article is devoted to the project of creating the cloud infrastructure of the Astana branch of the Institute of Nuclear Physics and the private establishment «Nazarbayev University Library and IT Services» (Republic of Kazakhstan, Astana) on the basis of the resources of both organizations, its integration with the distributed cloud infrastructure of the Joint Institute for Nuclear...
Mr
Yurii Butenko
(JINR)
9/13/18, 4:15 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The heterogeneous cluster HybriLIT and Supercomputer Govorun are designed for the development of parallel applications and for carrying out parallel computations asked by a wide range of tasks arising in the scientific and applied research conducted by JINR. The efficient work on the cluster needs the implementation of service of statistics provided to the users.
Even though tasks of...
Mr
Andrey Zarochentsev
(SPbSU)
9/13/18, 4:15 PM
3. Middleware and services for production-quality infrastructures
Sectional reports
В докладе представлены результаты работы российских институтов в обработке данных эксперимента ALICE в течеие 2-х последних лет во время 2-го этапа работы Большого адронного коллайдера (БАК). Рассмотрены основные проблемы и задачи, стоящие как перед ALICE Grid Computing, так и перед его российским сегментом перед третьим этапом работы БАК. Также представлены планы подготовки к работе БАК в...
Prof.
Vladimir Dimitrov
(University of Sofia)
9/13/18, 4:30 PM
JINR established a cloud based on OpenNebula. It is open for integration with the clouds from the member states. The paper presents current (first year) state of the 3 years project that aims to create a cloud backbone in Bulgaria. University of Sofia and INRNE participate in that initiative. This is a target project funded by JINR based on the research plan of the institute.
Dr
Alexander Uzhinskiy
(Dr.)
9/13/18, 4:30 PM
We present an approach to predict atmospheric heavy metals contamination by statistical models and machine learning algorithms. The source of the field contamination data is ICP Vegetation Data Management System (DMS). DMS is a cloud platform developed at the Joint Institute of Nuclear Research (JINR) to manage ICP Vegetation data. The aim of the UNECE International Cooperative Program (ICP)...
Mr
Victor Smirnov
(St. Petersburg State University)
9/13/18, 4:30 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
One of the problems for all countries of the world are fires, in particular,fires in the premises. For the creation and effective use of firefighting means, it is necessary to calculate possible scenarios for the development of fires in specific conditions. At the present time, there are various tools for computer modeling of fires, but they have disadvantages - they have either a large error...
Mr
Alexey Boytsov
(JINR LHEP)
9/13/18, 4:45 PM
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Low energy ion and electron beams, produced by ion sources and electron guns, find their use in surface modifications, nuclear medicine and injection into high-energy accelerators. Simulation of particle dynamics is a necessary step for optimization of beam parameters. Since such simulations require significant computational resources, parallelization is highly desirable to be able to...
Mr
Kirill Koshelev
(Viktorovich)
9/13/18, 4:45 PM
Распознавания образов – научная дисциплина, целью которой является классификация объектов. Сами объекты называются образами или паттернами. Возможность распознавания опирается на схожесть однотипных объектов. Несмотря на то, что все предметы и ситуации уникальны в строгом смысле, между некоторыми из них всегда можно найти сходства по тому или иному признаку. Отсюда возникает понятие...
Ivan Tatarinov
(Kaspersky Lab)
9/13/18, 5:00 PM
В работах [1, 2] анализировались статистические особенности потоков информации на входном шлюзе локальной сети среднего размера (250-300 компьютеров) и было показано, что при агрегировании измерений трафика формируется (начиная с некоторого порогового значения окна агрегирования: в нашем случае 1 с) статистическое распределение величины потока, которое не меняет своей формы при дальнейшем...
Dr
Alexey Averkin
(Plekhanov Russian University of Economics), Mr
Sergey Yarushev
(Plekhanov Russian University of Economics)
9/13/18, 5:15 PM
In this paper we consider approach to data analysis and time series forecasting based on hybrid models. This models contains a Deep NN models and Neuro-Fuzzy networks. We are show an overview of new approaches for data science field - time series and data analysis. Also, we propose our models of DL and Neuro-Fuzzy Networks for this task. Finally we show possibility of using this models for...
Mr
andrey shevel
(PNPI, ITMO)
9/14/18, 9:00 AM
Plenary reports
University ITMO (ifmo.ru) is designing the cloud of geographically distributed data centers under centralized administration to control the distributed virtual storage, virtual data links, virtual machines, and data center infrastructure management. Resulted cloud has to be tolerant to hardware and software failures of any type. The integrated set of programs is developed to implement...
Prof.
Victor Lakhno
(Institute of Mathematical Problems of Biology RAS, Keldysh Institute of Applied Mathematics of Russian Academy of Sciences)
9/14/18, 9:30 AM
Plenary reports
The idea to use DNA molecule as a base element for nanobioelectronics is discussed.
It could be cosidered as some molecular wire where a typical charge transfer/transport pattern can physically be viewed as a polaron and/or soliton which mobility can be very low.
A computer experiment demonstrates that mobile breather excited near one of the ends of DNA can trap the polarons. The...
Ms
Victoria Tokareva
(JINR)
9/14/18, 10:30 AM
9. Consolidation and integration of distributed resources
Sectional reports
We present a current status of data center based on KCDC (KASCADE Cosmic Ray Data Centre), which was originally designed for providing an open access to the events measured and analyzed by KASCADE-Grande, a cosmic-ray experiment located in KIT, Karlsruhe. In the frame of the Russian-German Astroparticle Data Life Cycle Initiative we extend KCDC in order to provide an access to different...
Dr
Nadezhda Fialko
(IMPB RAS - the Branch of KIAM RAS)
9/14/18, 10:30 AM
At present, the attention of researchers is attracted to the possible mechanisms of charge transfer in quasy-1D biomacromolecules, such as DNA, in connection with the potential use of this nano-objects in nanobioelectronics.
Biophysical experiments on the hole transfer from guanine G (donor) to guanine triplet GGG (acceptor), separated by adenine-thymine (A-T) bridges of various lengths,...
Mr
Aleksey Bondyakov
(JINR (Joint Institute For Nuclear Research))
9/14/18, 10:30 AM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
Основными направлениями развития дата-центра Института физики НАН Азербайджана являются грид и облачные технологии. Пользуясь тем что грид-сегмент дата-центра интегрирован в инфраструктуру EGI/WLCG в качестве грид-сайта уровня Tier3, пользователи дата-центра получают возможность участвовать в таких международных проектах как ATLAS (CERN). Сотрудничество с международными научными центрами ОИЯИ,...
Dr
Vladimir Korkhov
(St. Petersburg State University)
9/14/18, 10:45 AM
Comprehensive human studies, in particular studies in the field of brain pathology, require strong information support for the consolidation of clinical and biological data from different sources in order to allow processing and analysis of data. The heterogeneity of data sources, the variety of presentation formats and the resource-intensive nature of preprocessing make it difficult to...
9/14/18, 10:45 AM
9. Consolidation and integration of distributed resources
Sectional reports
The Joint Institute for Nuclear Research is an international intergovernmental organization. It is a large multidisciplinary scientific center incorporating fundamental research in many different areas. This implies extensive need in computing and storage resources. DIRAC is a general purpose system to provide common access to a number of heterogeneous resources. DIRAC have been installed and...
Mr
Vitaly Yermolchyk
(INP BSU)
9/14/18, 10:45 AM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
The main goal of INP BSU grid site is to provide access for scientists and students from our institute to computational power of WLCG and make contribution to data processing. We are involved in the two greatest modern experiments in particle physics – CMS and ATLAS at the Large Hadron Collider at CERN. INP BSU grid site is the only certified and production EGI grid site in Belarus. Also we...
Mrs
Varvara Petrova
(Saint Petersburg Electrotechnical University "LETI")
9/14/18, 11:00 AM
The development of software for face retrieval systems modeling is studied. An overview of the state of the problem is provided. Computer modeling is shown to be required to select the most appropriate system structure, set of modules and their parameters. The basic requirements for modern face retrieval systems are determined. It is found that they provided the concept of building a software...
Mr
Vladimir Voloshinov
(Institute for Information Transmission Problems RAS)
9/14/18, 11:00 AM
9. Consolidation and integration of distributed resources
Sectional reports
The report presents an new approach to solving rather hard discrete and global optimization problems in Everest, http://everest.distcomp.org, a web-based distributed computing platform.
The platform enables convenient access to heterogeneous resources (standalone servers, high performance clusters etc.) by means of domain-specific computational web services, development and execution of...
Mr
Alexandr Mikula
(Institute of Physics of the Czech Academy of Sciences; CESNET)
9/14/18, 11:00 AM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
The Computing Center of the Institute of Physics (IOP) of the Czech Academy of Sciences serves a broad spectrum of users with various computing needs. The Computing Center hosts a WLCG Tier-2 for ATLAS and ALICE experiments. There are also other supported experiments from astroparticle physics, namely Cherenkov Telescope Array and Pierre Auger Observatory. Center also supports OSG stack for...
Dr
Alexander Kurepin
(CERN)
9/14/18, 11:15 AM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
The ALICE experiment is havy ion collision detector at the CERN LHC. Its goal to study extreme phase of matter – called quark-gluon plasma. It is collaboration of 41 countries and more than 1800 scientists. A large number of complex subsystems requires supervision and control system. ALICE Control Coordination (ACC) is the functional unit mandated to coordinate the execution of the Detector...
Prof.
Victor Tsvetkov
(Tver State University)
9/14/18, 11:15 AM
В данном докладе на основе данных суточного холтеровского мониторирования построены фазовые пространства мгновенного сердечного ритма четырех пациентов Тверского областного клинического кардиологического диспансера. Эти пространства наиболее адекватно отражают такие важные свойства кардиоритмов, как хаотичность и самоподобие (фрактальность). Приведены методы вычисления фрактальной размерности...
Ms
Liliia Ziganurova
(Scientific Center in Chernogolovka, National Research University Higher School of Economics)
9/14/18, 11:30 AM
1. Technologies, architectures, models of distributed computing systems
Sectional reports
We discuss synchronization aspects in the method of large-scale simulation, known as parallel discrete event simulation (PDES). We build models of the evolution of simulation time profile in two PDES algorithms, in conservative algorithm and in optimistic one. The models capture the essential properties of the algorithms, namely, the scalability and the degree of desynchronization. We...
Prof.
Victor Tsvetkov
(Tver State University)
9/14/18, 11:30 AM
Данные суточного холтеровского мониторирования (ХМ) по кардиоинтервалам для анализа представляются в форме, сочетающей простоту и информативность. Показано, что это можно сделать, используя визуализацию массива данных по кардиоритмам на основе квантового фазового пространства мгновенного сердечного ритма. Под визуализацией квантового фазового пространства мгновенного сердечного ритма мы будем...
Dr
Vladimir Sapunenko
(INFN)
10. Databases, Distributed Storage systems, Datalakes
Sectional reports
The Italian WLCG Data Center which is hosted and managed by National Center of INFN for Informatics and Telecommunications (CNAF) located in Bologna, is the one of the biggest European computing centers for WLCG. Operational since 2005 it provides storage resources for all the Large Hadron Collider (LHC) experiments, as well as for many other scientific collaborations. In 12 years of...
Dr
Stanislav Polyakov
(SINP MSU)
6. Cloud computing, Virtualization
Sectional reports
Modern supercomputers employ schedulers to distribute the queued jobs between the computational nodes and maximize their load. The jobs can vary in size (number of required computational units, planned time) and it is impossible to schedule them with 100% efficiency. Additionally, some jobs are completed ahead of time which can also decrease the load. In practice the average load of...
