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Fast Inference on FPGAs for HEP trigger systems

Hamza Javed · CERN

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About

In order to benefit of modern machine learning in the early stages of the data acquisition of a typical HEP experiment, one has to be able to execute ML model inference within the latency of the L1 trigger system. At the LHC, this time is of O(10) μs. The aim of this project is to deploy a set of LHC-related neural networks to the Intel FPGAs..

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The talk

  1. Fast Inference on FPGAs for HEP trigger systems 2019-08-13 · 6 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN openlab Summer Student programme 2019
Speaker
Hamza Javed
Year
2019
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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