1. Heterogeneous Online Computational Platform for GEM-Based Plasma Impurity Monitoring Systems
- Author
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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
- Subjects
heterogeneous systems ,high-performance computing ,nuclear instruments for hot plasma diagnostics ,gas electron multiplier (GEM) ,micropattern gaseous detectors ,data acquisition systems ,Technology - 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.
- Published
- 2024
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