A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC - Guglielmo, Giuseppe Di; Fahim, Farah; Herwig, Christian; Valentin, Manuel Blanco; Duarte, Javier; Gingu, Cristian; Harris, Philip; Hirschauer, James; Kwok, Martin; Loncar, Vladimir; Luo, Yingyi; Miranda, Llovizna; et al. (IEEE transactions on nuclear science, 2021)
Keywords: Acidity; Algorithms; Application specific integrated circuits; application-specific integrate circuit (ASIC); Application-specific integrated circuit (ASIC); artificial intelligence (AI); Artificial neural networks; autoencoder; CMOS; Compression; Computer architecture; Data compression; Data transmission; Design optimization; Detectors; Energy consumption; Field programmable gate arrays; Gates (circuits); hardware accelerator; High level synthesis; high-level synthesis (HLS); INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Integrated circuits; Ionizing radiation; Large Hadron Collider; Large Hadron Collider (LHC); Learning algorithms; Machine learning; machine learning (ML); Neural networks; Particle physics; PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Power consumption; Radiation; Sensors; single-event effect (SEE) mitigation; Sodium channels; Solenoids; Task analysis; Training