Speaker
Description
As digitizer technologies scale, efficient processing of massive amounts of sensor data is essential for the next generation of science projects. This talk focuses on the next-generation electromagnetic signal processing pipeline developed at the Allen Telescope Array. Backed by the NVIDIA Holoscan SDK, this pipeline utilizes cutting-edge technologies to address the three key pillars of high-speed scientific sensor data acquisition in real-time. In this model, the GPU device acquires, processes, and stores the data without the direct involvement of the CPU memory. This topology, apart from performance gains, enables the deployment of cutting-edge detection technology based on machine learning models that directly work with spectrogram data in an online fashion. This work equips observatories with the capability to meet the growing demands of next-generation astronomy.
