Heterogeneous Online Computational Platform for GEM-Based Plasma Impurity Monitoring Systems

Paweł Linczuk (), Andrzej Wojeński (), Tomasz Czarski, Piotr Kolasiński, Wojciech M. Zabołotny, Krzysztof Poźniak, Grzegorz Kasprowicz, Radosław Cieszewski, Maryna Chernyshova, Karol Malinowski, Didier Mazon, Julian Colnel and Denis Guibert
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Paweł Linczuk: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Andrzej Wojeński: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Tomasz Czarski: Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
Piotr Kolasiński: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Wojciech M. Zabołotny: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Krzysztof Poźniak: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Grzegorz Kasprowicz: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Radosław Cieszewski: Institute of Electronic Systems, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-650 Warsaw, Poland
Maryna Chernyshova: Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
Karol Malinowski: Institute of Plasma Physics and Laser Microfusion, Hery 23, 01-497 Warsaw, Poland
Didier Mazon: IRFM, CEA, F-13108 Saint-Paul-lez-Durance, France
Julian Colnel: IRFM, CEA, F-13108 Saint-Paul-lez-Durance, France
Denis Guibert: IRFM, CEA, F-13108 Saint-Paul-lez-Durance, France

Energies, 2024, vol. 17, issue 22, 1-22

Abstract: The fusion energy research field presents many intricate challenges that require resolution. Many diagnostic systems employed in experiments are approaching the limits of current technology. Implementing efficient measurements requires using an appropriate set of tools to facilitate the optimal utilization of hardware. Fusion energy measurements must provide low latency processing with the capacity for future improvements and the ability to handle complex data flows efficiently. The presented work addresses these requirements and describes the implementation of a high-performance, low-latency software platform with convenient development for soft X-ray (SXR) plasma impurities emission tracing—the Asynchronous Complex Computation Platform (AC2P). This article presents the architectural design, implementation details, and performance and latency measurements based on the raw data acquired from the WEST tokamak and laboratory tests. AC2P provides the tools to develop low-latency, multi-core, multi-device complex data flow graph scale-up solutions for measuring impurities in hot plasmas. The system has been designed to operate online during experiments, calculate the energy distribution, position and occurrence time of SXR photons, monitor the data stream’s quality and archive any abnormalities for subsequent offline verification and algorithm improvement. This article presents AC2P, which operates as part of the SXR measurement system on the WEST tokamak.

Keywords: heterogeneous systems; high-performance computing; nuclear instruments for hot plasma diagnostics; gas electron multiplier (GEM); micropattern gaseous detectors; data acquisition systems; FastFlow; FPGA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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