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Fast Inference on FPGAs for HEP trigger systems
<!--HTML-->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...
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| Lenguaje: | eng |
| Publicado: |
2019
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| Acceso en línea: | http://cds.cern.ch/record/2687042 |
| Sumario: | <!--HTML-->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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