Evaluation of the ITER Real-Time Framework for Data Acquisition and Processing from Pulsed Gigasample Digitizers

Kadziela, M.; Jabłoński, Bartłomiej; Perek, Piotr; Makowski, Dariusz

doi:10.1007/s10894-020-00264-3

Cited by 12 publications

(4 citation statements)

References 21 publications

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“…However, they process data much slower relating to the ASICs. It can be used to provide measurement hardware parts, which allow solution preparation without concentrating on initial raw data processing [8]. FPGA raw data acquisition connected to PC solution is used in the presented system.…”

Section: The Rising Importance Of Software Processingmentioning

confidence: 99%

Soft real-time data processing solutions in measurement systems on example of small-scale GEM based x-ray spectrometer

Linczuk

Poźniak²,

Chernyshova³

2022

Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022

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This work discusses different approaches to data processing in measurement systems with their examples. An overview of dedicated hardware to software migration trends is presented. Software data processing for soft real-time measurement systems is described based on multiple characteristics. A significant part of this work relates to an analysis of different frameworks which can be used in such systems to implement parts dedicated to software processing. Finally, the exemplary system, which can benefit from chosen solutions, built by our group is presented.

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Section: The Rising Importance Of Software Processingmentioning

confidence: 99%

Soft real-time data processing solutions in measurement systems on example of small-scale GEM based x-ray spectrometer

Linczuk

Poźniak²,

Chernyshova³

2022

Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022

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“…• 600 MB/s for a 16-bit IR image with resolution 2000 × 1500 at 100 Hz • 12 GB/s for an 8-bit visible image with resolution 4000 × 3000 at 1 kHz As a consequence, for robust autonomous machine protection and plasma control during operation, significant computational power is necessary. Acceleration of compu-tations might be provided by the general-purpose computing on Graphics Processing Units (GPUs) [19]. GPUs are flexible hardware accelerators for intensive computations that offer the best price-performance ratio compared to Field-Programmable Gate Arrays (FPGAs) [20] and Digital Signal Processors (DSPs) [21].…”

Section: General-purpose Computing On Graphics Processing Unitmentioning

confidence: 99%

Implementation of Thermal Event Image Processing Algorithms on NVIDIA Tegra Jetson TX2 Embedded System-on-a-Chip

2021

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Advances in Infrared (IR) cameras, as well as hardware computational capabilities, contributed towards qualifying vision systems as reliable plasma diagnostics for nuclear fusion experiments. Robust autonomous machine protection and plasma control during operation require real-time processing that might be facilitated by Graphics Processing Units (GPUs). One of the current aims of image plasma diagnostics involves thermal events detection and analysis with thermal imaging. The paper investigates the suitability of the NVIDIA Jetson TX2 Tegra-based embedded platform for real-time thermal events detection. Development of real-time processing algorithms on an embedded System-on-a-Chip (SoC) requires additional effort due to the constrained resources, yet low-power consumption enables embedded GPUs to be applied in MicroTCA.4 computing architecture that is prevalent in nuclear fusion projects. For this purpose, the authors have proposed, developed and optimised GPU-accelerated algorithms with the use of available software tools for NVIDIA Tegra systems. Furthermore, the implemented algorithms are evaluated and benchmarked on Wendelstein 7-X (W7-X) stellarator experimental data against the corresponding alternative Central Processing Unit (CPU) implementations. Considerable improvement is observed for the accelerated algorithms that enable real-time detection on the embedded SoC platform, yet some encountered limitations when developing parallel image processing routines are described and signified.

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“…The field of General-Purpose computing on Graphics Processing Units (GPGPU) is constantly evolving and offers hardware acceleration of Computer Vision (CV) tasks. Graphics Processing Units (GPUs) are also utilised in fusion experiments to provide hardware acceleration for efficient computations [13,14]. New System-on-a-Chip (SoC) platforms provide accelerated edge computing on low-power embedded systems.…”

Section: Introduction 1problem Statementmentioning

confidence: 99%

Evaluation of NVIDIA Xavier NX Platform for Real-Time Image Processing for Plasma Diagnostics

et al. 2022

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Machine protection is a core task of real-time image diagnostics aiming for steady-state operation in nuclear fusion devices. The paper evaluates the applicability of the newest low-power NVIDIA Jetson Xavier NX platform for image plasma diagnostics. This embedded NVIDIA Tegra System-on-a-Chip (SoC) integrates a Graphics Processing Unit (GPU) and Central Processing Unit (CPU) on a single chip. The hardware differences and features compared to the previous NVIDIA Jetson TX2 are signified. Implemented algorithms detect thermal events in real-time, utilising the high parallelism provided by the embedded General-Purpose computing on Graphics Processing Units (GPGPU). The performance and accuracy are evaluated on the experimental data from the Wendelstein 7-X (W7-X) stellarator. Strike-line and reflection events are primarily investigated, yet benchmarks for overload hotspots, surface layers and visualisation algorithms are also included. Their detection might allow for automating real-time risk evaluation incorporated in the divertor protection system in W7-X. For the first time, the paper demonstrates the feasibility of complex real-time image processing in nuclear fusion applications on low-power embedded devices. Moreover, GPU-accelerated reference processing pipelines yielding higher accuracy compared to the literature results are proposed, and remarkable performance improvement resulting from the upgrade to the Xavier NX platform is attained.

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Evaluation of the ITER Real-Time Framework for Data Acquisition and Processing from Pulsed Gigasample Digitizers

Cited by 12 publications

References 21 publications

Soft real-time data processing solutions in measurement systems on example of small-scale GEM based x-ray spectrometer

Soft real-time data processing solutions in measurement systems on example of small-scale GEM based x-ray spectrometer

Implementation of Thermal Event Image Processing Algorithms on NVIDIA Tegra Jetson TX2 Embedded System-on-a-Chip

Evaluation of NVIDIA Xavier NX Platform for Real-Time Image Processing for Plasma Diagnostics

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