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    Wyświetlanie 1-3 z 3
    Tytuł:
    Feasibility of FPGA to HPC computation migration of plasma impurities diagnostic algorithms
    Autorzy:
    Linczuk, P.
    Krawczyk, R. D.
    Zabolotny, W.
    Wojenski, A.
    Kolasinski, P.
    Pozniak, K. T.
    Kasprowicz, G.
    Chernyshova, M.
    Czarski, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/226512.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    plasma diagnostic
    GEM system
    feedback loops
    Intel Xeon
    Intel Xeon Phi
    high performance computing HPC
    Opis:
    We present a feasibility study of fast events parameters estimation algorithms regarding their execution time. It is the first stage of procedure used on data gathered from gas electron multiplier (GEM) detector for diagnostic of plasma impurities. Measured execution times are estimates of achievable times for future and more complex algorithms. The work covers usage of Intel Xeon and Intel Xeon Phi - high-performance computing (HPC) devices as a possible replacement for FPGA with highlighted advantages and disadvantages. Results show that less than 10 ms feedback loop can be obtained with the usage of 25% hardware resources in Intel Xeon or 10% resources in Intel Xeon Phi which leaves space for future increase of algorithms complexity. Moreover, this work contains a simplified overview of basic problems in actual measurement systems for diagnostic of plasma impurities, and emerging trends in developed solutions.
    Źródło:
    International Journal of Electronics and Telecommunications; 2017, 63, 3; 323-328
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multiboard trigger link synchronization and diagnostics
    Autorzy:
    Wojenski, A.
    Pozniak, K.
    Mazon, D.
    Chernyshova, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/114174.pdf
    Data publikacji:
    2017
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    data quality monitoring
    FPGA
    GEM detector
    soft X-ray plasma diagnostics
    trigger distribution
    measurement system
    Opis:
    Soft X-ray (SXR) plasma measurements are important type of diagnostics especially in tokamak facilities. Main output products are energy and topology spectra distributed in time. In case of Gas Electron Multiplier (GEM) detectors, used as radiation sensors, large number of analog readout channels must be provided. For this purpose Field-Programmable Gate Arrays (FPGAs) are used. Data quality monitoring (DQM) is important topic in case of asynchronous events registered by the measurement unit. Due to numerous FPGAs used it is necessary to provide advanced trigger synchronization between them. In the paper is proposed an algorithmic approach for the trigger link training and diagnostics. It is a key component in order to provide consistent measurement data for DQM analysis. The contents of the article covers the plasma experiments and related DQM topics. In following chapters explanation of the synchronization problem is described. The proposed algorithm will be used for trigger link synchronization and diagnostics aspects. The simulations are also discussed. Currently, the proposed ideas are at the stage of implementation and tests on real hardware. Simulation were successfully performed. Summary of the work carried out is presented at the end of the paper.
    Źródło:
    Measurement Automation Monitoring; 2017, 63, 6; 223-225
    2450-2855
    Pojawia się w:
    Measurement Automation Monitoring
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Advanced Real-time Evaluation and Data Quality Monitoring Model Integration with FPGAs for Tokamak High-performance Soft X-ray Diagnostic System
    Autorzy:
    Wojenski, A.
    Poźniak, K.
    Mazon, D.
    Chernyshova, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/227260.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    data quality monitoring
    system modeling
    FPGA
    Verilog/VHDL
    HDL
    GEM detector
    SXR plasma diagnostics
    modular measurement system
    data evaluation
    Opis:
    Based on the publications regarding new or recent measurement systems for the tokamak plasma experiments, it can be found that the monitoring and quality validation of input signals for the computation stage is done in different, often simple, ways. In the paper is described the unique approach to implement the novel evaluation and data quality monitoring (EDQM) model for use in various measurement systems. The adaptation of the model is made for the GEM-based soft X-ray measurement system FPGA-based. The EDQM elements has been connected to the base firmware using PCI-E DMA real-time data streaming with minimal modification. As additional storage, on-board DDR3 memory has been used. Description of implemented elements is provided, along with designed data processing tools and advanced simulation environment based on Questa software.
    Źródło:
    International Journal of Electronics and Telecommunications; 2018, 64, 4; 473-479
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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