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Benchmarking Machine Learning in HEP

Sabina Manafli


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    <subfield code="a">&lt;p&gt;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&lt;br&gt;
hardware. 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.&lt;/p&gt;</subfield>
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