LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

Documenti analoghi

• Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
  di: Wei, Yumou, et al.
  Pubblicazione: (2023)
• Architectural Solutions for High-Speed Data Processing Demands of CERN LHC Detectors with FPGA and High-Level Synthesis
  di: Devadze, Sergei, et al.
  Pubblicazione: (2024)
• A 55-nm SRAM Chip Scanning Errors Every 125 ns for Event-Wise Soft Error Measurement
  di: Gomi, Yuibi, et al.
  Pubblicazione: (2025)
• Delay Time Characterization on FPGA: A Low Nonlinearity, Picosecond Resolution Time-to-Digital Converter on 16-nm FPGA using Bin Sequence Calibration
  di: Park, Sunwoo, et al.
  Pubblicazione: (2025)
• wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation
  di: Hawks, Benjamin, et al.
  Pubblicazione: (2025)