METIS RTC as a computationally heavy system

Hugo Coppejans; Thomas Bertram; Florian Briegel; Markus Feldt; Martin Kulas; Silvia Scheithauer; Carlos Correia; Andreas Obereder

doi:10.1117/12.3020018

25 July 2024 METIS RTC as a computationally heavy system

Hugo Coppejans, Thomas Bertram, Florian Briegel, Markus Feldt, Martin Kulas, Silvia Scheithauer, Carlos Correia, Andreas Obereder

Author Affiliations +

Proceedings Volume 13101, Software and Cyberinfrastructure for Astronomy VIII; 131013V (2024) https://doi.org/10.1117/12.3020018
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Conference Poster

Abstract

METIS, the Mid-infrared ELT Imager and Spectrograph, will operate an internal Single Conjugate Adaptive Optics (SCAO) system, which will mainly serve the science cases targeting exoplanets and disks around bright stars. The Extremely Large Telescope (ELT) is expected to have its first light in 2028, and the entire instrument recently passed its final design phase. The Adaptive Optics (AO) of METIS SCAO is designed to correct for atmospheric distortions and is essential for diffraction-limited observations with METIS. The computational and data transfer requirements for these next generation ELT AO Real-Time Computers (RTCs) are enormous and require advanced data processing and pipelining techniques. METIS SCAO will use a pyramid Wavefront Sensor (WFS), which captures incoming wavefronts at 1 kHz with a raw throughput of 148 MB/s. The RTC will ingest these WFS images on a frame-by-frame basis, compute the corrections and send them to the deformable mirror M4 and the tip/tilt mirror M5. The RTC is split up into two distinct systems: the Hard Real-Time Computer (HRTC) and the Soft Real-Time Computer (SRTC). The HRTC is responsible for computing the time sensitive wavefront control loop, while the SRTC is responsible for supervising and optimizing the HRTC. A working prototype for the HRTC has been completed and operates with an RTC computation time of roughly 372 μs. This computation is memory limited and runs on two NVIDIA A100 GPUs. This paper shows a breakdown of the HRTC on a CUDA kernel level, focusing on the tasks that run on the GPUs. We also present the performance of the HRTC and possible improvements for it.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hugo Coppejans, Thomas Bertram, Florian Briegel, Markus Feldt, Martin Kulas, Silvia Scheithauer, Carlos Correia, and Andreas Obereder "METIS RTC as a computationally heavy system", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131013V (25 July 2024); https://doi.org/10.1117/12.3020018

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