• Corpus ID: 211171885

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale

@article{Dakkak2020MLModelScopeAD,
  title={MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale},
  author={Abdul Dakkak and Cheng Li and Jinjun Xiong and Wen-mei W. Hwu},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.08295}
}
Machine Learning (ML) and Deep Learning (DL) innovations are being introduced at such a rapid pace that researchers are hard-pressed to analyze and study them. The complicated procedures for evaluating innovations, along with the lack of standard and efficient ways of specifying and provisioning ML/DL evaluation, is a major "pain point" for the community. This paper proposes MLModelScope, an open-source, framework/hardware agnostic, extensible and customizable design that enables repeatable… 

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