The Cooperative Computing Lab

@article{terms-fgcs-2025,
  author = {Suter, Frédéric and Coleman, Tainã and Altintaş, İlkay and Badia, Rosa M. and Balis, Bartosz and Chard, Kyle and Colonnelli, Iacopo and Deelman, Ewa and Tommaso, Paolo Di and Fahringer, Thomas and Goble, Carole and Jha, Shantenu and Katz, Daniel S. and Köster, Johannes and Leser, Ulf and Mehta, Kshitij and Oliver, Hilary and Peterson, J.-Luc and Pizzi, Giovanni and Pottier, Loïc and Sirvent, Raül and Suchyta, Eric and Thain, Douglas and Wilkinson, Sean R. and Wozniak, Justin M. and da Silva, Rafael Ferreira},
  title = {A terminology for scientific workflow systems},
  journal = {Future Generation Computing Systems},
  year = {2026},
  volume = {17},
  month = jan,
  number = {107974},
  doi = {10.1016/j.future.2025.107974}
}

@misc{phung2025scalingthroughputorientedllminference,
  title = {Scaling Up Throughput-oriented LLM Inference Applications on Heterogeneous Opportunistic GPU Clusters with Pervasive Context Management},
  author = {Phung, Thanh Son and Thain, Douglas},
  year = {2025},
  eprint = {2509.13201},
  archiveprefix = {arXiv},
  primaryclass = {cs.DC},
  url = {https://arxiv.org/abs/2509.13201},
  keywords = {taskvine, llm, gpu}
}

@inproceedings{reshaping-chep-2025,
  author = {Lannon, Kevin and Moore, Connor and Sly-Delgado, Barry and Tovar, Benjamin and Townsend, Austin and Zhou, Jin},
  title = {Reshaping Analysis for Fast Turnaround: Leveraging Concurrency to Reduce Latency in Late-Stage LHC Analysis Workflows},
  booktitle = {{27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)}},
  year = {2025},
  keywords = {taskvine, hep},
}