Affiliation:
1. University of Göttingen
2. Fermi National Accelerator Laboratory
Abstract
The compute efficiency of Monte-Carlo event generators for the
Large Hadron Collider is expected to become a major bottleneck for
simulations in the high-luminosity phase. Aiming at the development
of a full-fledged generator for modern GPUs, we study the performance
of various recursive strategies to compute multi-gluon tree-level amplitudes.
We investigate the scaling of the algorithms on both CPU and GPU hardware.
Finally, we provide practical recommendations as well as baseline implementations
for the development of future simulation programs. The GPU implementations can be
found at: https://www.gitlab.com/ebothmann/blockgen-archive.
Funder
United States Department of Energy
Subject
General Medicine,Infectious Diseases,Public Health, Environmental and Occupational Health,Immunology,Pharmacology (medical),Infectious Diseases,Health Policy,Pharmacology (medical),Infectious Diseases,Pharmacology (medical),Infectious Diseases,Virology,Dermatology,Drug Discovery,Pharmacology,Virology,Infectious Diseases,Dermatology,Health Policy,Epidemiology,Genetics,Immunology,Immunology and Allergy,Fluid Flow and Transfer Processes,Otorhinolaryngology,Sociology and Political Science,History,Philosophy
Cited by
1 articles.
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