# NVidia Holoscan-based R&D for the trigger

- Institution: CERN
- Speaker: Ioannis Xiotidis
- Year: 2026
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3021009)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

High-energy physics trigger systems are traditionally implemented in a two-stage architecture. In the first stage, custom hardware boards—typically FPGA-based—perform fast, coarse reconstruction to identify interactions of interest and forward the selected events to the next stage. There, reconstruction is carried out in greater detail using commercial computing technologies such as CPUs and GPUs. Because of limited resources, high bandwidths, and strict latency constraints, the hardware trigger cannot apply selections as sophisticated as those in the second stage. Technologies such as NVIDIA Holoscan aim to address this limitation by enabling high-bandwidth data streams to be transferred directly into GPU memory, bypassing delays introduced by a CPU host. This talk presents the R&D activities within the ATLAS experiment evaluating the Holoscan technology, initially in the context of data scouting setups, and explores the feasibility of GPU-based trigger and data-acquisition systems for future experiments.

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## Lectures

1. [NVidia Holoscan-based R&D for the trigger](https://invisiblenetwork.ai/learn/cern/3021009/168a34fcb12f), 17 min (CERN's player)