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T13. Edge AI, streaming inference, and resource scheduling

Running models near the machine under limited compute and latency budgets.

  1. T13-1Structural parallel

    Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge

    Authors
    Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor Mudge, Jason Mars, Lingjia Tang
    Year
    2017
    Venue
    ASPLOS 2017, pp. 615-629

    Korean review of T13-1

  2. T13-6Structural parallel

    Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

    Authors
    Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
    Year
    2022
    Venue
    USENIX NSDI 2022, pp. 119-135

    Korean review of T13-6

  3. T13-7Structural parallel

    Clipper: A Low-Latency Online Prediction Serving System

    Authors
    Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
    Year
    2017
    Venue
    USENIX NSDI 2017, pp. 613-627

    Korean review of T13-7

  4. T13-8Structural parallel

    Serving DNNs like Clockwork: Performance Predictability from the Bottom Up

    Authors
    Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace
    Year
    2020
    Venue
    USENIX OSDI 2020, pp. 443-462

    Korean review of T13-8

  5. T13-17Structural parallel

    MLPerf Inference Benchmark

    Authors
    Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu (47 authors in total)
    Year
    2020
    Venue
    ACM/IEEE ISCA 2020, pp. 446-459

    Korean review of T13-17

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