Alexey Vorontsov
(LIT, JINR)
11/09/2018, 13:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
A complex engineering infrastructure has been developed to support Govorun supercomputer that is expansion of the HybriLIT heterogeneous cluster. This infrastructure combines integration of two solutions on cooling systems: air cooling system for the GPU-component and water cooling system for the CPU-component based on the solution of the RSC Group.
The report provides a review of the...
Dmitry Belyakov
(JINR)
11/09/2018, 13:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The heterogeneous platform «HybriLIT» provides users with ample opportunities for conducting parallel calculations and modeling of new experiments in the field of high energy physics. The platform consists of two clusters: a training and test polygon «HybriLIT» and supercomputer named after Govorun N.N. High performance servers with Intel Xeon series E5, Intel Xeon series Gold (Skylake) and...
Ms
Shushanik Torosyan
(LIT)
11/09/2018, 14:00
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
In order to increase the efficiency of the application development and of the computations using the resources of the GOVORUN supercomputer, an IT-ecosystem that includes a set of services for users is being actively developed. The maintenance of the current services and the development of new ones is a key prerequisite since they secure to the users modern tools for efficient organization of...
Pavel Lavrenko
(RSC Group)
11/09/2018, 14:15
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Nowadays there are a lot of loosely connected layers in datacenter
management systems such as: datacenter facilities, computing nodes,
storage systems, networks or job schedulers. We see the need to have a
comprehensive approach to manage these resources as a whole.
The talk covers our search for optimal methods and tools to manage data
processing infrastructure - to incorporate best...
Pavel Lavrenko
(RSC Group)
11/09/2018, 14:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
A continuous growth of compute power and amount of data for processing
demands a proportional growth of storage system performance and
capacity. However traditional ways to scale storage systems are
expensive and inflexible, thus we need to look for new approaches.
Upon rethinking the datacenter architecture for data processing RSC came
up with an idea to converge compute and storage...
Martin Vala
(JINR)
11/09/2018, 15:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Data environments are growing exponentially and the complexity of data analysis is becoming critical issue. The goal of SALSA project is to provide tools to make connection between human and computer to understand and learn from each other. Analysis of different parameters in N-dimensional space should be made easy and intuitive. Task distribution system has to be adaptive to the enviroment...
Andrey Bulatov
(State University Dubna, JINR)
11/09/2018, 15:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Scientists in high energy physics produce their output mostly in form of histograms. Set of histograms are saved in output file for each grid job. As the next step is to merge these files/histograms to one file where scientist can produce final plots for publication. Merging of these out files may be done sequentially as one job or do it in parallel via binary tree algorithm as it is done by...
Dr
Vladimir Korkhov
(St. Petersburg State University)
11/09/2018, 16:00
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. The wide spread of computing clusters led to the active development of task management systems, however, many issues, in particular, migration issues, have not yet been resolved. In this paper, we consider the organization of a virtual cluster created with virtualization...
Dr
Vasily Khramushin
(Saint-Petersburg State University)
11/09/2018, 16:15
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
В исследовательском проектировании, построении и последующем анализе достоверности моделируемых процессов в ресурсоемких вычислительных экспериментах, что особо востребуется при изучении нестационарных процессов в механике сплошных сред, становится весьма актуальным использование открытой и легко модифицируемой программной среды для пространственной визуализации быстротекущих физических...
Dr
Vasily Khramushin
(Saint-Petersburg State University)
11/09/2018, 16:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
При реализации сложных прикладных вычислительных экспериментов, в проектировании, разработке и построении программных комплексов востребуется особая логика синтеза числовых структур для описания физических явлений в тесной связи с требованиями эффективного применения моделирующих операций гидромеханики на фоне непрерывной графической визуализации всех пространственных процессов.
В конкретной...
Dr
Tatiana Sapozhnikova
(JINR)
11/09/2018, 16:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Библиотеки и пакеты прикладных программ, доступные пользователям ЭВМ ОИЯИ
Попкова Л.В., А. П. Сапожников, Т. Ф. Сапожникова
Объединённый институт ядерных исследований
Лаборатория информационных технологий
Информация о библиотеках и пакетах прикладных программ, поддерживаемых и сопровождаемых в ЛИТ ОИЯИ - JINRLIB, CERNLIB, CPCLIB - размещена на сайте ...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
13/09/2018, 13:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
This work is devoted to the development of guidelines for the porting of existing applications to GPGPU. The paper provides an overview of the current state of the parallel computation area with respect to GPGPU. Various approaches to the organization of parallel computations are considered, and their effectiveness is evaluated in relation to the application under study. Special attention is...
Prof.
Alexander Bogdanov
(St.Petersburg State University)
13/09/2018, 13:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The problem of porting programs from one hardware platform to another has not ceased to be less relevant and simpler with time. The need to transfer programs to platforms with different architectures can have different roots. One of them is to increase the efficiency of executing programs for mass calculations on multiprocessor systems and clusters.
The purpose of our work is to identify the...
Mr
Alexander Ayriyan
(Laboratory of Information Technologies, JINR)
13/09/2018, 14:00
Mr
Anton Gavrikov
(Saint Petersburg State University)
13/09/2018, 14:15
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
One of the key stages in ship design process is the modeling of its behavior on the wavy sea surface, carried out with the expected operational characteristics taken into account. Similar modeling process could be done within real conditions at virtual testbed, which allows to monitor the influence of external disturbances on ship's running characteristics in real time with sensors installed...
Anastasia Iashnikova
(Saint-Petersburg State University)
13/09/2018, 14:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The paper describes an algorithm for Eulerian simulation of incompressible fluids—Schrödinger's Smoke. The algorithm is based on representing models as a system of particles. Each particle represents a small portion of a fluid or amorphous material. A particle has a certain ‘lifespan’, during which it may undergo various changes. The Schrödinger's Smoke solver algorithm was implemented in...
Mr
Ivan Petriakov
(Saint Petersburg State University)
13/09/2018, 14:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Software suites for ship simulations are typically used for statistical studies of ship dynamics, but also as a simulator for training ship crew in dangerous situations. One problem that arises during training is speeding-up a part of the session which does not involve actions from the crew. The aim of the study reported here is to accelerate solution of ship motions equations using general...
Mr
Vasily Golubev
(Moscow Institute of Physics and Technology)
13/09/2018, 15:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Nowadays the HPC systems are very widespread in the world. Due to their computational power it is possible to simulate with a high precision a lot of phenomena: drugs development, seismic survey process, hydraulic fracturing and multi-component fluid flow, human-human interaction, high-speed collisions in open space, tsunami and earthquake initiation. That is why the development of modern...
Mr
Vasily Golubev
(Moscow Institute of Physics and Technology)
13/09/2018, 15:45
Sectional reports
At present, oil and natural gas form the basis of energy throughout the world. In view of significant depletion of reserves, the task of prospecting and exploration of new deposits is becoming increasingly important. In the industry the specific migration procedure is used to find contrast interfaces between geological layers with different properties. It should be noted that algorithms...
Mr
Maxim Zuev
(JINR)
13/09/2018, 16:00
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The report presents the work on developing of a software package for investigating the system of long Josephson junctions. It makes possible to perform computations on heterogeneous computation architectures: Intel processors (CPU), Intel Xeon Phi processors (KNL), NVIDIA graphics processors (GPU). A comparative analysis of the acceleration and efficiency of the developed parallel...
Mr
Yurii Butenko
(JINR)
13/09/2018, 16:15
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
The heterogeneous cluster HybriLIT and Supercomputer Govorun are designed for the development of parallel applications and for carrying out parallel computations asked by a wide range of tasks arising in the scientific and applied research conducted by JINR. The efficient work on the cluster needs the implementation of service of statistics provided to the users.
Even though tasks of...
Mr
Victor Smirnov
(St. Petersburg State University)
13/09/2018, 16:30
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
One of the problems for all countries of the world are fires, in particular,fires in the premises. For the creation and effective use of firefighting means, it is necessary to calculate possible scenarios for the development of fires in specific conditions. At the present time, there are various tools for computer modeling of fires, but they have disadvantages - they have either a large error...
Mr
Alexey Boytsov
(JINR LHEP)
13/09/2018, 16:45
8. High performance computing, CPU architectures, GPU, FPGA
Sectional reports
Low energy ion and electron beams, produced by ion sources and electron guns, find their use in surface modifications, nuclear medicine and injection into high-energy accelerators. Simulation of particle dynamics is a necessary step for optimization of beam parameters. Since such simulations require significant computational resources, parallelization is highly desirable to be able to...
