Published October 26, 2021 | Version v1

Ultra-fast Machine Learning Inference for triggering at CMS Experiment

Authors/Creators

Contributors

Supervisor:

Description

I have been assigned a project related to the CMS detector at the Large Hadron Collider. Before I move towards the actual details and goals for ultra-fast machine learning inference at CMS, I will first describe the CMS detector, trigger system, triggering at CMS, the need for Machine Learning and FPGAs, high level synthesis and boosted decision trees briefly. The readers of this report are expected to have a little knowledge about these concepts before

Files

Farheen Asif - CERN Summer Studentship 2021 Project Report.pdf

Files (1.5 MB)

Additional details

Identifiers

CDS Report Number
CERN-STUDENTS-Note-2021-224

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