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Displaying 189 contributions out of 189
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 pro ... More
Presented by Г-н. Victor DOROKHIN on 10 Sep 2018 at 15:15
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 implementations ... More
Presented by Mr. Maxim ZUEV on 13 Sep 2018 at 17:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 user-fr ... More
Presented by Mr. Minh Duc NGUYEN on 11 Sep 2018 at 16:45
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 scientif ... More
Presented by Dr. Andrey DEMICHEV on 11 Sep 2018 at 15:15
Type: Poster presentations Session: Poster Session
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 this ... More
Presented by Mr. Viktor KOTLIAR on 10 Sep 2018 at 17:00
Type: Sectional reports Session: Technologies, Architectures, Models of Distributed Computing Systems
Track: 1. Technologies, architectures, models of distributed computing systems
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 cont ... More
Presented by Dr. Alexander KUREPIN on 14 Sep 2018 at 12:15
Type: Poster presentations Session: Poster Session
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 logic ... More
Presented by Dr. Elena NURMATOVA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
University ITMO (ifmo.ru) is designing the system for 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. The system needs to be tolerant to hardware and software failures of any type. The integrated set of programs is developed to implement men ... More
Presented by Mr. Petr FEDCHENKOV on 13 Sep 2018 at 14:45
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 challenge ... More
Presented by Prof. Alexander BOGDANOV on 13 Sep 2018 at 16:30
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 purpos ... More
Presented by Mr. Ivan PETRIAKOV on 13 Sep 2018 at 15:45
Type: Plenary reports Session: 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 motivation ... More
Presented by Dr. Rudolf VOHNOUT on 13 Sep 2018 at 12:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 revea ... More
Presented by Ms. Diana KOSHLAN on 10 Sep 2018 at 14:45
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 key ... More
Presented by Prof. Alexander BOGDANOV on 13 Sep 2018 at 14:45
Type: Poster presentations Session: Poster Session
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 the ... More
Presented by Mr. Andrey NECHAEVSKIY on 10 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
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, and ... More
Presented by Ms. Yuliya KAZARINA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 fra ... More
Presented by Mr. Qingbao HU on 11 Sep 2018 at 15:30
Type: Sectional reports Session: 4.Scientific, industry and business applications in distributed computing systems, education
Track: 11. Big data Analytics, Machine learning
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 of ... More
Presented by Dr. Alexander UZHINSKIY on 11 Sep 2018 at 15:45
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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 piecewi ... More
Presented by Dr. Oleg ZAIKIN on 10 Sep 2018 at 16:15
Type: Plenary reports Session: Plenary reports
Track: 11. Big data Analytics, Machine learning
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 tec ... More
Presented by Prof. Alexander BOGDANOV on 11 Sep 2018 at 10:00
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 requi ... More
Presented by Mr. Evgeny ALEXANDROV, Mr. Andrei KAZYMOV on 11 Sep 2018 at 17:15
Type: Plenary reports Session: 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 challe ... More
Presented by Dr. Alexei KLIMENTOV on 13 Sep 2018 at 09:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 very po ... More
Presented by Mr. Vladislav RADISHEVSKIY on 13 Sep 2018 at 16:45
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 video ... More
Presented by Anna SHALEVA on 13 Sep 2018 at 15:45
Session: Plenary reports
Presented by Prof. Vladimir VOEVODIN on 10 Sep 2018 at 12:10
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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. Despite ... More
Presented by Mr. Artem PETROSYAN on 13 Sep 2018 at 17:00
Type: Plenary reports Session: 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. Mor ... More
Presented by Mr. Alexey ANISENKOV on 11 Sep 2018 at 10:30
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 processin ... More
Presented by Dr. Konstantin GERTSENBERGER on 13 Sep 2018 at 15:00
Type: Sectional reports Session: 4.Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 problem ... More
Presented by Andrey IVANOV on 11 Sep 2018 at 14:45
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 mome ... More
Presented by Mr. Sergey BELOV on 10 Sep 2018 at 16:00
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
Clouds gave us a more flexible way of sharing computing resources between users and combine computation-intensive workloads with other types of workloads. Due to the variety of workloads in such environments and to their dynamic nature, the hosts are often underloaded. In this talk we give a review of an approach to improve hardware utilization in IaaS clouds through dynamic reallocation of VMs (e ... More
Presented by Mr. Nikita BALASHOV on 13 Sep 2018 at 15:15
Type: Plenary reports Session: 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 powe ... More
Presented by Dr. Qiulan HUANG on 10 Sep 2018 at 11:20
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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.
Presented by Prof. Vladimir DIMITROV on 13 Sep 2018 at 17:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 groupings of ... More
Presented by Г-н. Maksim GUBIN on 10 Sep 2018 at 15:00
Type: Poster presentations Session: Poster Session
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 Taylor ... More
Presented by Zafar TUKHLIEV on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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) Veget ... More
Presented by Dr. Alexander UZHINSKIY on 13 Sep 2018 at 17:30
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 accomplish t ... More
Presented by Mr. Alexey BOYTSOV on 13 Sep 2018 at 17:45
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
In this paper the usage of convolution neural networks considers for solving the problem of emotion recognition by face expression images. Emotion recognition is a complex task and the result of recognition is highly dependent on the choice of the neural network architecture. In this paper various architectures of convolutional neural networks were reviewed and there were selected the most prospec ... More
Presented by Mr. Anton VORONTSOV on 13 Sep 2018 at 18:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
In most cases, explicit methods are used for the tasks of financial forecasting The modern possibilities of computer technology already allow the use of neural networks for such problems, but the volumes of their application for forecasting are still not large. This article compares explicit methods, such as the Capital Asset Pricing Model (CAPM) and linear time series, with the results of foreca ... More
Presented by Г-н. alexey STANKUS on 13 Sep 2018 at 17:15
Type: Poster presentations Session: Poster Session
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.
Presented by Ms. Nataliia KULABUKHOVA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 investigate a ... More
Presented by Mr. George ADAMOV on 13 Sep 2018 at 14:30
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 Research ... More
Presented by Mr. Mikhail MAZHITOV on 13 Sep 2018 at 17:15
Type: Sectional reports Session: 9. Consolidation and integration of distributed resources
Track: 9. Consolidation and integration of distributed resources
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 cosmic-ra ... More
Presented by Ms. Victoria TOKAREVA on 14 Sep 2018 at 11:30
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 API. Th ... More
Presented by Andrey LEBEDEV on 13 Sep 2018 at 16:30
Type: Sectional reports Session: 12. Bioinformatics
Track: 12. Bioinformatics
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 comp ... More
Presented by Mrs. Varvara PETROVA on 14 Sep 2018 at 12:00
Type: Sectional reports Session: 9. Consolidation and integration of distributed resources
Track: 9. Consolidation and integration of distributed resources
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 conf ... More
on 14 Sep 2018 at 11:45
Type: Plenary reports Session: 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 not ... More
Presented by Dr. Andrei TSAREGORODTSEV on 13 Sep 2018 at 10:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 (data ... More
Presented by Mrs. Marina GOLOSOVA on 11 Sep 2018 at 16:30
Type: Sectional reports Session: 12. Bioinformatics
Track: 12. Bioinformatics
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 conduct co ... More
Presented by Dr. Vladimir KORKHOV on 14 Sep 2018 at 11:45
Type: Poster presentations Session: Poster Session
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 jobs. ... More
Presented by Mr. Javad JAVADZADE on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 still ... More
Presented by Prof. Alexander BOGDANOV on 13 Sep 2018 at 14:45
Type: Plenary reports Session: 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 genetic ... More
Presented by Prof. Sergey V. ULYANOV on 13 Sep 2018 at 11:30
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 of th ... More
Presented by Ruslan KUCHUMOV on 13 Sep 2018 at 15:30
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 monitoring ... More
Presented by Mr. Igor PELEVANYUK on 11 Sep 2018 at 15:45
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 developed ... More
Presented by Mr. Vasily GOLUBEV on 13 Sep 2018 at 16:45
Type: Sectional reports Session: 12. Bioinformatics
Track: 12. Bioinformatics
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, demonstr ... More
Presented by Dr. Nadezhda FIALKO on 14 Sep 2018 at 11:30
Type: Sectional reports Session: 9. Consolidation and integration of distributed resources
Track: 9. Consolidation and integration of distributed resources
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 many-tas ... More
Presented by Mr. Vladimir VOLOSHINOV on 14 Sep 2018 at 12:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 at ... More
Presented by Dr. Vladimir KORKHOV on 11 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
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 general. I ... More
Presented by Mr. Viktor KOTLIAR on 10 Sep 2018 at 17:00
Type: Plenary reports Session: 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 formed ... More
Presented by Prof. Victor LAKHNO on 14 Sep 2018 at 10:30
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 the ... More
Presented by Mr. Danila OLEYNIK on 11 Sep 2018 at 14:30
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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.
Presented by Mr. Mikhail BELOV on 10 Sep 2018 at 16:00
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 detector ... More
Presented by Dr. Mikhail PROKUDIN on 13 Sep 2018 at 15:30
Type: Poster presentations Session: Poster Session
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 syst ... More
Presented by Mr. Viktor KOTLIAR on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 operations wi ... More
Presented by Dr. Vladimir SAPUNENKO
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 facilit ... More
Presented by Mr. ivan KOROLKO on 13 Sep 2018 at 15:45
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
The talk focuses on our experience with JupyterHub and JupyterLab, the ways we extend Jupyter and how we abuse JupyterHub to spawn something other than signle-user Jupyter notebook servers. Our project has started as a copy of CERN SWAN environment, but it evolves independently. However, we are still using CVMFS to load Jupyter kernels and other software and EOS to store user home directorie ... More
Presented by Mr. Erokhin ANDREY on 13 Sep 2018 at 14:30
Type: Plenary reports Session: 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 architectur ... More
Presented by Andrea MANZI on 10 Sep 2018 at 12:40
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 ... More
Presented by Anastasia IASHNIKOVA on 13 Sep 2018 at 15:30
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 geometr ... More
Presented by Irina FILOZOVA on 11 Sep 2018 at 14:30
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 engineerin ... More
Presented by Г-н. Alexey VORONTSOV on 11 Sep 2018 at 14:30
Session: Plenary reports
Presented by Ivan KROVYAKOV on 10 Sep 2018 at 13:10
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 monitor ... More
Presented by Mr. Yurii BUTENKO on 13 Sep 2018 at 17:15
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 application ... More
Presented by Prof. eugene SHCHETININ, Mr. Mikchail BEREZHKOV on 10 Sep 2018 at 16:45
Type: Sectional reports Session: Technologies, Architectures, Models of Distributed Computing Systems
Track: 1. Technologies, architectures, models of distributed computing systems
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 inte ... More
Presented by Mr. Vitaly YERMOLCHYK on 14 Sep 2018 at 11:45
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 for ... More
Presented by Mr. Vladimir GAIDUCHOK on 11 Sep 2018 at 15:15
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 supercomputers ... More
Presented by Dr. Stanislav POLYAKOV on 13 Sep 2018 at 17:45
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 thei ... More
Presented by Ms. Shushanik TOROSYAN on 11 Sep 2018 at 15:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 made t ... More
Presented by Mr. Haibo LI on 11 Sep 2018 at 15:45
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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 syste ... More
Presented by Mr. Nikolay KHRAPOV on 10 Sep 2018 at 14:30
Type: Plenary reports Session: 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 define ... More
Presented by Prof. Vladimir KORENKOV, Dr. Tatiana STRIZH on 10 Sep 2018 at 10:50
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 has i ... More
Presented by Ms. IULIIA GAVRILENKO on 13 Sep 2018 at 15:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 mark ... More
Presented by Sergey BELOV on 10 Sep 2018 at 16:15
Type: Plenary reports Session: 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 sys ... More
Presented by Prof. Lev SHCHUR on 11 Sep 2018 at 11:20
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 scientifi ... More
Presented by Mr. Grigore SECRIERU on 11 Sep 2018 at 15:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 word-embed ... More
Presented by Mr. Aleksey KULNEVICH on 13 Sep 2018 at 15:30
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 information ... More
Presented by Mr. Anatoly MINZOV on 11 Sep 2018 at 14:45
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 many ... More
Presented by Г-н. Andrey BULATOV on 11 Sep 2018 at 16:45
Type: Poster presentations Session: Poster Session
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 for ... More
Presented by Mikhail MALKOV on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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 of t ... More
Presented by Mr. Ilya KUROCHKIN on 10 Sep 2018 at 15:00
Type: Poster presentations Session: Poster Session
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 techn ... More
Presented by Mikhail MALKOV on 10 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
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 mode; - ... More
Presented by Г-н. Дмитрий Маров, Ms. Дарья Пряхина on 10 Sep 2018 at 17:00
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 an ... More
Presented by Dr. Eduard NIKONOV on 11 Sep 2018 at 15:00
Type: Plenary reports Session: 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 system ... More
Presented by Mr. Viktor KOTLIAR on 12 Sep 2018 at 09:30
Session: Plenary reports
Presented by Mr. Дмитрий Семишин on 12 Sep 2018 at 10:00
Session: Plenary reports
Presented by Dr. Oleg ROGACHEVSKIY on 13 Sep 2018 at 09:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 the ... More
Presented by Mr. Andrey KIRYANOV on 11 Sep 2018 at 15:30
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 nuclear ... More
Presented by Dr. Vladimir RACHKOV on 10 Sep 2018 at 16:15
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 In ... More
Presented by Dmitry BELYAKOV on 11 Sep 2018 at 14:45
Session: Plenary reports
Presented by Nikolay MESTER on 11 Sep 2018 at 13:10
Type: Sectional reports Session: 6. Cloud computing, Virtualization
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.
Presented by Dr. Nikolay KUTOVSKIY on 13 Sep 2018 at 16:45
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 the ... More
Presented by Mrs. Elizaveta DORENSKAYA on 13 Sep 2018 at 14:45
Type: Poster presentations Session: Poster Session
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 eigenmodes o ... More
Presented by Mr. Veniamin CHUPRITSKIY on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 given ... More
Presented by Prof. Alexander BOGDANOV on 13 Sep 2018 at 14:30
Type: Sectional reports Session: Poster Session
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 implementa ... More
Presented by Mr. Nikita NIZOVTSOV on 10 Sep 2018 at 17:00
Session: Plenary reports
Presented by Prof. Victor MATVEEV on 10 Sep 2018 at 10:00
Type: Poster presentations Session: Poster Session
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 перс ... More
Presented by Mrs. Svetlana SHIKOTA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 many non-line ... More
Presented by Mr. Kamil KHAMITOV on 10 Sep 2018 at 15:15
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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 32 m ... More
Presented by Г-н. Eduard VATUTIN on 10 Sep 2018 at 16:45
Type: Plenary reports Session: Plenary reports
Track: 8. High performance computing, CPU architectures, GPU, FPGA
In the framework of the PIK nuclear reactor reconstruction project, a new PIK Computing Centre was commissioned in 2017, the main task of which is storage and processing of PIK experiments data. The Centre's capacity is also used by other scientific groups at PNPI for solving problems in different areas of science such as computational biology and condensed matter physics. It also becomes an integ ... More
Presented by Mr. Andrey KIRYANOV on 11 Sep 2018 at 09:30
Type: Poster presentations Session: Poster Session
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 NVIDIA ... More
Presented by Dr. Mikhail NAUMENKO on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 проблем ... More
Presented by Mr. Andrey ZAROCHENTSEV on 13 Sep 2018 at 17:15
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 paramete ... More
Presented by Evgeny POSTNIKOV on 13 Sep 2018 at 16:30
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 terms ... More
Presented by Victoria MATSKOVSKAYA on 11 Sep 2018 at 17:45
Type: Poster presentations Session: Poster Session
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 physic ... More
Presented by Mr. Dmitry ZINCHENKO on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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.
Presented by Prof. Vladimir DIMITROV on 11 Sep 2018 at 17:00
Type: Sectional reports Session: Technologies, Architectures, Models of Distributed Computing Systems
Track: 1. Technologies, architectures, models of distributed computing systems
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 investigate ... More
Presented by Ms. Liliia ZIGANUROVA on 14 Sep 2018 at 12:30
Type: Poster presentations Session: Poster Session
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 of t ... More
Presented by Mr. Migran GEVORKYAN on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 practice ... More
Presented by Pavel LAVRENKO on 11 Sep 2018 at 15:15
Session: Plenary reports
Presented by Alexander MOSKOVSKY on 12 Sep 2018 at 11:40
Type: Plenary reports Session: 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 additional c ... More
Presented by Prof. Ivan (for the CBM collaboration) KISEL on 13 Sep 2018 at 10:30
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 onboa ... More
Presented by Mr. Anton GAVRIKOV on 13 Sep 2018 at 15:15
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 t ... More
Presented by Anna SHALEVA on 13 Sep 2018 at 15:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 where ... More
Presented by Martin VALA on 11 Sep 2018 at 16:30
Type: Plenary reports Session: 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 Inte ... More
Presented by Dr. Dmitry PODGAINY on 11 Sep 2018 at 12:50
Type: Poster presentations Session: Poster Session
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 cas ... More
Presented by Mr. Konstantin SHEFOV on 10 Sep 2018 at 17:00
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 Virtual ... More
Presented by Mr. Maxim MENSHCHIKOV on 10 Sep 2018 at 15:00
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 and wo ... More
Presented by Ms. Grigorieva MARIA on 11 Sep 2018 at 17:00
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 Architectur ... More
Presented by Mr. Gennady DIK on 10 Sep 2018 at 14:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 integration which ... More
Presented by Ms. Elena YASINOVSKAYA on 10 Sep 2018 at 14:30
Type: Poster presentations Session: Poster Session
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 allows on ... More
Presented by Dr. Stepanova MARGARITA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 systems. ... More
Presented by Pavel LAVRENKO on 11 Sep 2018 at 15:30
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 1. Technologies, architectures, models of distributed computing systems
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 with ... More
Presented by Dr. Oleg SUKHOROSLOV on 10 Sep 2018 at 15:15
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 developm ... More
Presented by Tatiana KORCHUGANOVA on 11 Sep 2018 at 16:30
Type: Plenary reports Session: 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 mentioned go ... More
Presented by Mr. andrey SHEVEL on 14 Sep 2018 at 10:00
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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 forums ... More
Presented by Dr. Victor TISHCHENKO on 10 Sep 2018 at 16:00
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 implem ... More
Presented by Mr. Ivan SOKOLOV on 13 Sep 2018 at 17:00
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 pre-processe ... More
Presented by Dr. Valery GRISHKIN on 13 Sep 2018 at 14:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 tex ... More
Presented by Dmitry SELIVANOV on 13 Sep 2018 at 15:15
Type: Plenary reports Session: 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 sup ... More
Presented by Prof. Dario BARBERIS on 11 Sep 2018 at 12:20
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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 respo ... More
Presented by Mikhail TITOV on 13 Sep 2018 at 15:15
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 simult ... More
Presented by Mr. Aleksandr ALEKSEEV on 11 Sep 2018 at 16:45
Type: Plenary reports Session: 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 for ... More
Presented by Dr. Tatiana STRIZH on 11 Sep 2018 at 09:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 applied ... More
Presented by Mr. Vasily GOLUBEV on 13 Sep 2018 at 16:30
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
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.
Presented by Mr. Ilya KUROCHKIN on 10 Sep 2018 at 14:45
Type: Sectional reports Session: 3. Middleware and services for production-quality infrastructures
Track: 3. Middleware and services for production-quality infrastructures
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.
Presented by Pavel OSIPOV on 13 Sep 2018 at 16:45
Type: Sectional reports Session: Technologies, Architectures, Models of Distributed Computing Systems
Track: 1. Technologies, architectures, models of distributed computing systems
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 the NO ... More
Presented by Mr. Alexandr MIKULA on 14 Sep 2018 at 12:00
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 using ... More
Presented by Г-н. ALEXANDER OLEYNIKOV, Mr. Andrey KAMENSHCHIKOV on 11 Sep 2018 at 15:15
Type: Poster presentations Session: Poster Session
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 pro ... More
Presented by Mr. Andrey DREVITSKIY on 10 Sep 2018 at 17:00
Type: Plenary reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 automation of ... More
Presented by Igor TKACHENKO on 11 Sep 2018 at 17:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 data sc ... More
Presented by Mr. Sergey YARUSHEV, Dr. Alexey AVERKIN on 13 Sep 2018 at 18:15
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 the ru ... More
Presented by Mr. Mikhail MINEEV on 11 Sep 2018 at 15:00
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 is s ... More
Presented by Г-н. Ilya BUSKO on 10 Sep 2018 at 14:45
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
The use of neural networks significantly expands the possibilities of analyzing financial data and improves the quality indicators of the financial market. In article we examine various aspects of working with neural networks and Frame work TensorFlow, such as choosing the type of neural networks, preparing data and analyzing the results. The work was carried out on the real data of the financial ... More
Presented by Г-н. alexey STANKUS on 13 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
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 obse ... More
Presented by Elena KOROSTELEVA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
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 create ... More
Presented by Ms. Nadezhda VOZDVIZHENSKAYA on 10 Sep 2018 at 16:30
Type: Poster presentations Session: Poster Session
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 described. T ... More
Presented by Mr. Sergey POLUYAN on 10 Sep 2018 at 17:00
Session: Plenary reports
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 simula ... More
Presented by Prof. Alexander DEGTYAREV on 13 Sep 2018 at 12:00
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 challen ... More
on 11 Sep 2018 at 15:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 or a ... More
Presented by Mr. Victor SMIRNOV on 13 Sep 2018 at 17:30
Session: Plenary reports
on 10 Sep 2018 at 10:30
Type: Poster presentations Session: Poster Session
Работа посвящена вопросам крупно-блочной параллельной реализации методов эволюционной и роевой оптимизации на примере решения задачи минимизации функций действительного аргумента. Рассматривается субпопуляционна ... More
Presented by Mr. Sergey POLUYAN on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
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 Инфор ... More
Presented by Dr. Tatiana SAPOZHNIKOVA on 11 Sep 2018 at 17:45
Type: Sectional reports Session: 10. Databases, Distributed Storage systems, Datalakes
Track: 10. Databases, Distributed Storage systems, Datalakes
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 сетевог ... More
Presented by Daria PRIAKHINA on 11 Sep 2018 at 14:45
Type: Sectional reports Session: 12. Bioinformatics
Track: 12. Bioinformatics
Данные суточного холтеровского мониторирования (ХМ) по кардиоинтервалам для анализа представляются в форме, сочетающей простоту и информативность. Показано, что это можно сделать, используя визуализацию массива данн ... More
Presented by Prof. Victor TSVETKOV on 14 Sep 2018 at 12:30
Session: Plenary reports
Presented by Евгений Лагунцов on 12 Sep 2018 at 10:20
Type: Sectional reports Session: Technologies, Architectures, Models of Distributed Computing Systems
Track: 1. Technologies, architectures, models of distributed computing systems
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-сайт ... More
Presented by Mr. Aleksey BONDYAKOV on 14 Sep 2018 at 11:30
Type: Sectional reports Session: 4.Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
Синтезирование апертуры представляет собой технический прием, позволяющий существенно повысить разрешающую способность радиолокатора в поперечном относительно направления полета направлении и получить детальное ... More
Presented by Vladimir BEZRODNY on 11 Sep 2018 at 16:30
Session: Plenary reports
Presented by Валерий Милых on 12 Sep 2018 at 10:40
Type: Sectional reports Session: 6. Cloud computing, Virtualization
Track: 6. Cloud computing, Virtualization
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 (н ... More
Presented by Ivan TATARINOV on 13 Sep 2018 at 18:00
Session: Plenary reports
Presented by Никита Степанов on 12 Sep 2018 at 11:20
Type: Poster presentations Session: Poster Session
Когнитивно-интеллектуальная система адаптации и обучения детей-аутистов предназначена для извлечения, обработки и формирования программы обучения на основе когнитивных процессов, в частности ЭЭГ сигналов, адаптаци ... More
Presented by Mr. Andrey SHEVCHENKO on 10 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
Когнитивно-интеллектуальная система адаптации и обучения детей-аутистов предназначена для извлечения, обработки и формирования программы обучения на основе когнитивных процессов, в частности ЭЭГ сигналов, адаптаци ... More
Presented by Ms. Alla MAMAEVA on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
В исследовательском проектировании, построении и последующем анализе достоверности моделируемых процессов в ресурсоемких вычислительных экспериментах, что особо востребуется при изучении нестационарных процессов ... More
Presented by Dr. Vasily KHRAMUSHIN on 11 Sep 2018 at 17:15
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
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 пр ... More
Presented by Prof. Vladimir DIMITROV on 10 Sep 2018 at 16:30
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 ... More
Presented by Prof. eugene SHCHETININ, Ms. Evgenia POPOVA on 11 Sep 2018 at 17:00
Type: Sectional reports Session: 8. High performance computing, CPU architectures, GPU, FPGA
Track: 8. High performance computing, CPU architectures, GPU, FPGA
При реализации сложных прикладных вычислительных экспериментов, в проектировании, разработке и построении программных комплексов востребуется особая логика синтеза числовых структур для описания физических явлени ... More
Presented by Dr. Vasily KHRAMUSHIN on 11 Sep 2018 at 17:30
Type: Plenary reports Session: 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 исследова ... More
Presented by Dr. Igor SEMENOV on 12 Sep 2018 at 09:00
Type: Poster presentations Session: Poster Session
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 живо ... More
Presented by Mr. Денис Кравченко on 10 Sep 2018 at 17:00
Type: Poster presentations Session: Poster Session
Работа посвящена проблемам прогнозирования пространственной структуры белковых молекул, полипептидов и их комплексов. Предлагаемый нами метод основан на решении задачи оптимизации, в которой целевой функцией являе ... More
Presented by Maxim BYSTROV on 10 Sep 2018 at 17:00
Type: Sectional reports Session: 4.Scientific, industry and business applications in distributed computing systems, education
Track: 4. Scientific, industry and business applications in distributed computing systems
Интернет находится в центре революций: централизованные проприетарные сервисы подвергаются замене на их децентрализованные аналоги со свободными лицензиями; доверенные третьи стороны юридических и финансовых дого ... More
Presented by Андрей Илюхин on 11 Sep 2018 at 16:45
Type: Sectional reports Session: 2. Operation, monitoring, optimization in distributed computing systems
Track: 2. Operation, monitoring, optimization in distributed computing systems
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 ... More
Presented by Г-н. Andrey KONDRATYEV on 11 Sep 2018 at 14:30
Type: Sectional reports Session: 7. Desktop grid technologies and volunteer computing
Track: 7. Desktop grid technologies and volunteer computing
Целью исследования была экспериментальная проверка технологии автоматизированной разработки приложений с динамически формируемым графом зависимостей между задачами для вычислений в грид-среде настольных компьюте ... More
Presented by Д-р. Sergey VOSTOKIN, Dr. Oleg SUKHOROSLOV on 10 Sep 2018 at 16:30
Type: Sectional reports Session: 11. Big data Analytics, Machine learning
Track: 11. Big data Analytics, Machine learning
Распознавания образов – научная дисциплина, целью которой является классификация объектов. Сами объекты называются образами или паттернами. Возможность распознавания опирается на схожесть однотипных объектов. Несм ... More
Presented by Mr. Kirill KOSHELEV on 13 Sep 2018 at 17:45
Type: Sectional reports Session: 12. Bioinformatics
Track: 12. Bioinformatics
В данном докладе на основе данных суточного холтеровского мониторирования построены фазовые пространства мгновенного сердечного ритма четырех пациентов Тверского областного клинического кардиологического диспан ... More
Presented by Prof. Victor TSVETKOV on 14 Sep 2018 at 12:15