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Benchmarking Machine Learning in HEP

Sabina Manafli


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1967555", 
  "author": [
    {
      "family": "Sabina Manafli"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2018, 
        12, 
        5
      ]
    ]
  }, 
  "abstract": "<p>The interest on machine learning workloads in the HEP community has increased exponentially in the last years, making more and more important the need of a thorough benchmarking of the most relevant/significant workloads that are going to run on the experiments. The purpose of this project is to build a set of techniques to benchmark deep neural networks on different<br>\nhardware. By using different tools and methodologies we make several important observations and conclusions based on the performance of deep learning application running on GPUs which have different compute capabilities.</p>", 
  "title": "Benchmarking Machine Learning in HEP", 
  "type": "article", 
  "id": "1967555"
}
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