Search results for: SUPERCOMPUTER GRID

• Plugging grids into computing portals: the PROGRESS grid resource broker plug‐in mechanism

  Publication

  • M. Bogdanski
  • M. Kosiedowski
  • C. Mazurek
  • M. Rabiega
  • M. Wolniewicz

  - CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE - Year 2007

  Full text to download in external service

• Software for calculation of noise maps implemented on the supercomputer

  Publication

  • A. Czyżewski
  • M. Szczodrak

  - TASK Quarterly - Year 2009

  This paper presents investigation results relevant to the implementation of the algorithms for the calculation of noise maps. The aim of the implementation of the algorithms on the computer cluster is explained. Selected implementation details of the software called the noise propagation model are described. The interaction of the software with the data acquisition system is presented. Noise maps obtained by exploitation of the...

  Full text available to download

• Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

  Publication

  • H. Krawczyk
  • M. Nykiel
  • J. Proficz

  - Polish Maritime Research - Year 2015

  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...

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• Real-Time Gastrointestinal Tract Video Analysis on a Cluster Supercomputer

  Publication

  • A. Blokus
  • A. Brzeski
  • J. Cychnerski
  • T. Dziubich
  • M. Jędrzejewski

  - Year 2012

  The article presents a novel approach to medical video data analysis and recognition. Emphasis has been put on adapting existing algorithms detecting le- sions and bleedings for real time usage in a medical doctor's office during an en- doscopic examination. A system for diagnosis recommendation and disease detec- tion has been designed taking into account the limited mobility of the endoscope and the doctor's requirements. The...

• Real-Time Multimedia Stream data Processing in a Supercomputer Environment

  Publication

  • H. Krawczyk
  • J. Proficz

  - Year 2012

  Rozdział opisuje doświadczenia uzyskane przez autorów podczas pracy w projekcie MAYDAY EURO 2012. Przedstawiono główny cel projektu - stworzenie systemu umożliwiającego rozwijanie i równolegle wykonywanie usług multimedialnych w środowisku klastra obliczeniowego dużej mocy. opisano tematykę przetwarzania dużej liczby strumieni multimedialnych na komputerach dużej mocy. Następnie zaprezentowano możliwości platformy KASKADA: tworzenie...

• Modular machine learning system for training object detection algorithms on a supercomputer

  Publication

  • J. Dembski
  • M. Smiatacz

  - Year 2010

  W pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...

• Dynamic computation of acoustic field distribution in the city area employing a supercomputer

  Publication

  • M. Szczodrak

  - Year 2009

• TASK CLOUD INFRASTRUCTURE IN THE CENTRE OF INFORMATICS – TRICITY ACADEMIC SUPERCOMPUTER & NETWORK

  Publication

  • P. Orzechowski

  - TASK Quarterly - Year 2018

  The cloud solution called the TASK cloud is described. Its main components and the way of their implementation are described. Examples of deployed environments based on the cloud are also presented. Moreover, the idea of combining the cloud and big data platforms is suggested and discussed.

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• IET Smart Grid

  Journals

  eISSN: 2515-2947

• Journal of Grid Computing

  Journals

  ISSN: 1570-7873 , eISSN: 1572-9184