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EN
The basic parallel versions of the Danish Eulerian Model (UNI-DEM) has been implemented on the new petascale supercomputer DISCOVERER, installed last year in Sofia, Bulgaria by the company Atos. DISCOVERER is part of the European High Performance Computing Joint Undertaking (EuroHPC), which is building a network of 8 powerful supercomputers across the European Union (3 pre-exascale and 5 petascale).The results of some scalability experiments with the basic MPI and a hybrid MPI-OpenMP parallel implementations of UNI-DEM on the new Bulgarian petascale supercomputer DISCOVERER (in EuroHPC network) are presented here. They are compared with similar earlier experiments performed on the Mare Nostrum III supercomputer (petascale too) at Barcelona Supercomputing Centre - the most powerful supercomputer in Spain by that time, upgraded currently to the pre-exascale Mare Nostrum V, also part of the EuroHPC JU infrastructure.
2
Content available remote Measure of adequacy for the supercomputer job management system model
EN
In this paper we investigate the problem of modelling modern supercomputer job management systems (JMS). When modelling the JMS, one of the main issues is the adequacy of the model used in experimental studies. The paper attempts to determine the measure of the JMS model adequacy by comparing the characteristics of two job streams, one of which was acquired from a real supercomputer and the other is obtained from the JMS model. We show that the normalized Euclidean distance between vectors of jobs residence times obtained from the job streams of the real system and the JMS model can serve as a measure of the adequacy of the JMS model. The paper also defines the reference value of the measure of adequacy corresponding to the JMS model with virtual nodes.
PL
Zapotrzebowanie na możliwości obliczeniowe nieustannie wzrasta w wielu dziedzinach wiedzy. Dotyczy to również działów, które wcześniej uznawane były za niewymagające obliczeniowo. Szczególną odpowiedzią jest technologia superkomputerów, których liczba dynamicznie zwiększa się. Możliwość rozwoju poszczególnych dziedzin może zostać w znacznym stopniu ułatwiona dzięki rozwojowi technologii Obliczeń Ogólnego Przeznaczenia z użyciem typowych graficznych procesorów masowo równoległych. W artykule zawarto kompletny opis budowy superkomputera w architekturze węzłowej, wraz z opisem problemów związanych z praktyczną implementacją.
EN
Nowadays computational demands are rapidly growing in many scientific areas. This also applies to engineering branches that were previously considered as not very computationally demanding. The answer is supercomputer technology, the number of which is dynamically increasing. Attention should be given to supercomputers, with General Purpose Graphical Processing Unit technology. Such coprocessor could easily enhance computational power in many scientific areas of interest. The paper describes node architecture of supercomputer with description of practical implementation problems.
EN
The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.
EN
Supercomputers are today made up of hundreds of thousands of nodes. The interconnection network is responsible for connecting all these nodes to each other. Different interconnection networks have been proposed; high performance topologies have been introduced as a replacement for the conventional topologies of recent decades. A high order, a low degree and a small diameter are the usual properties aimed for by such topologies. However, this is not sufficient to lead to actual hardware implementations. Network scalability and topology simplicity are two critical parameters, and they are two of the reasons why modern supercomputers are often based on torus interconnection networks (e.g., Fujitsu K, IBM Sequoia). In this paper we first describe a new topology, torus-connected cycles (TCCs), realizing a combination of a torus and a ring, thus retaining interesting properties of torus networks in addition to those of hierarchical interconnection networks (HINs). Then, we formally establish the diameter of a TCC, and deduce a point-to-point routing algorithm. Next, we propose routing algorithms solving the Hamiltonian cycle problem, and, in a two dimensional TCC, the Hamiltonian path one. Correctness and complexities are formally proved. The proposed algorithms are time-optimal.
6
Content available remote Software for Calculation of Noise Maps Implemented on Supercomputer
EN
Investigation results relevant to the implementation of algorithms for calculation of noise maps are presented in this paper. The aim of implementing the algorithms on a computer cluster is explained. Selected implementation details of the software called Noise Propagation Model are described. The software interaction with the data acquisition system is presented. Noise maps obtained using the described software are presented. A comparison between the outcomes of the implemented models and the simulation results of a commercial program is presented. An analysis of the computation efficiency is described. A discussion concerning dynamic presentation of noise maps is also presented.
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