All Stories

  1. Poster: On Harnessing Idle Compute at the Edge for Foundation Model Training

    Article • November 2025, ACM (Association for Computing Machinery)

    Randal Burns

  2. Towards Decentralized and Sustainable Foundation Model Training with the Edge

    Article • ACM SIGEnergy Energy Informatics Review, July 2025, ACM (Association for Computing Machinery)

    Randal Burns

  3. EvoStore: Towards Scalable Storage of Evolving Learning Models

    Article • June 2024, ACM (Association for Computing Machinery)

    Robert Underwood, Randal Burns

  4. CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers

    Article • February 2024, ACM (Association for Computing Machinery)

    Brian Wheatman, Randal Burns

  5. DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access

    Article • June 2023, ACM (Association for Computing Machinery)

    Randal Burns, Robert Underwood

  6. Geodesic Forests

    Article • August 2020, ACM (Association for Computing Machinery)

    Randal Burns

  7. Creating an Active Learning Environment using Reproducible Data Science Tools

    Article • eLearn, July 2020, ACM (Association for Computing Machinery)

    Randal Burns

  8. Particle tracking in open simulation laboratories

    Article • November 2015, ACM (Association for Computing Machinery)

    Randal Burns

  9. Inverted indices for particle tracking in petascale cosmological simulations

    Article • July 2013, ACM (Association for Computing Machinery)

    Randal Burns