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,
Denis Guibert
Affiliations
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
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.
