{"paper":{"title":"A converged architecture for processing 32 Tbps of physics data in real-time at the LHCb experiment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-ex","authors_text":"Adrian Casais Vidal, Alberto Perro, Alessandro Scarabotto, Arantza Oyanguren, Arthur Hennequin, Brij Kishor Jashal, Christina Agapopoulou, Daniel C. Craik, Daniel Hugo C\\'ampora P\\'erez, Dorothea vom Bruch, Flavio Pisani, Florian Reiss, Jiahui Zhuo, Kate A. Richardson, Louis Henry, Marianna Fontana, Marian Stahl, Niklas Nolte, Niko Neufeld, Patrick Spradlin, Placido Fernandez Declara, Rainer Schwemmer, Renato Quagliani, Roel Aaij, Rosen Matev, Saverio Mariani, Thomas Boettcher, Tim Evans, Tommaso Colombo, Vladimir V. Gligorov","submitted_at":"2026-07-23T16:34:50Z","abstract_excerpt":"The LHCb detector at the Large Hadron Collider has been upgraded to acquire an unprecedented 32 Tbps of particle-collision data to provide new insights in the High Energy Physics domain. The data produced by the detector is filtered in real-time to select interesting collisions. As part of the upgrade, a pre-filtering stage has been removed leading to a factor 40 increase in data rate. To deal with the high throughput demands of LHCb real-time data processing, we present an off-the-shelf network architecture using zero-copy techniques in conjunction with an efficient, fully-GPU-based filter. O"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21492","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.21492/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}