The Cooperative Computing Lab

@inproceedings{sade-sim-2026,
  author = {},
  title = {{SADE-SIM: A Scalable Simulation Platform for Validating City-Scale Multi-sUAS Missions}},
  booktitle = {{Workshop on Software Engineering for Engineering Simulations, and Simulation Engineering for Engineering Software (SE4ES) 2026}},
  pages = {8},
  year = {2026},
  cclpaperid = {1006},
  keywords = {sade},
  note = {{doi: 10.1145/3803437.3805540 }},
}

@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}
}