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Talk7 min

Numerical study of floating point precision within the PEPPER event generator

Yucheng Zhang · CERN

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About

**Project Description**: This project investigates whether PEPPER can safely use reduced floating-point precision to accelerate parton-level event generation on modern CPUs and GPUs. By comparing FP32 and FP64 calculations with CADNA, it identifies where rounding errors affect matrix elements and event weights, supporting the development of a reliable mixed-precision approach for HL-LHC simulations.

**Supervisor**: Dr. Enrico Bothmann & František Stloukal

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The talk

  1. Numerical study of floating point precision within the PEPPER event generator 2026-08-18 · 7 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Yucheng Zhang
Year
2026
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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