Resources
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Our initial DLIO paper published in CCGrid'2021 described the design and implementation of DLIO benchmark. 

.. code-block:: text

    @article{devarajan2021dlio,
        title={DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications},
        author={H. Devarajan and H. Zheng and A. Kougkas and X.-H. Sun and V. Vishwanath},
        booktitle={IEEE/ACM International Symposium in Cluster, Cloud, and Internet Computing (CCGrid'21)},
        year={2021},
        volume={},
        number={81--91},
        pages={},
        publisher={IEEE/ACM}
    }

DLIO is the key software for the MLPerf Storage benchmark: https://mlcommons.org/en/groups/research-storage/. See also the following relevant paper from MLPerf Storage working group: 

.. code-block:: text

    @article{balmau2022mlperfstorage,
        title={Characterizing I/O in Machine Learning with MLPerf Storage},
        author={O. Balmau},
        booktitle={SIGMOD Record DBrainstorming},
        year={2022},
        volume={51},
        number={3},
        publisher={ACM}
    }