The Cooperative Computing Lab

We design software that enables our collaborators to easily harness large scale distributed systems such as clusters, clouds, and grids. We perform fundamental computer science research that enables new discoveries through computing in fields such as physics, chemistry, bioinformatics, biometrics, and data mining.

All of our software is open source and available on GitHub. We are always eager to welcome new collaborators—whether you want to explore our software, contribute to development, or receive support. Explore our tools to see how they can power your distributed computing needs, and visit the getting help section if you need assistance.

CCL Launches Redesigned Website (Jan 06, 2026)

Open Source Software

TaskVine is our third-generation workflow system for building scalable data intensive applications that run on HPC clusters, cloud services, and other clusters.

Floability is an NSF funded research project to enable the rapid and portable deployment of notebooks expressing complex scientific workflows across a wide range of cyberinfrastructure.

Work Queue is an application framework for creating and managing dynamic manager-worker style programs that scale up to tens of thousands of machines on clusters, clouds, and grids.

See all software

Research Projects

xGFabric : Coupling Sensor Networks and HPC Facilities with Advanced Wireless Networks for Near Real-Time Simulation of Digital Agriculture (DOE ASCR)

This project will explore the design of systems for connecting remote wireless sensor networks with high performance computing systems.

SADE: A Safety-Aware Ecosystem of Reputable sUAS

The overall goal of the project is to develop technology for safety zones that permit only trusted drones to operate in congested or sensitive airspace.

Pledge: Accelerating Data Intensive Scientific Workflows with Consistency Contracts

Expresses workflow I/O intentions using consistency contracts to enable efficient, cluster-wide storage and execution optimizations.

NBFlow: From Notebook to Workflow and Back Again (CSSI Framework)

NBFlow brings together interactive notebook technologies (Jupyter), reproducibility tools (SciUnit), and distributed workflows (TaskVine) to enable easy execution of large-scale notebook workflows on heterogeneous HPC clusters.

TaskVine: A User Level Framework for Data Intensive Scientific Applications (CSSI Element)

TaskVine is open source software for building large scale data intensive dynamic workflows that run on HPC clusters, GPU clusters, and commercial clouds.

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Community Highlights

Workshop on Harmonizing Python Workflows at IEEE e-Science 2025

We helped host the Workshop on Harmonizing Python Workflows at IEEE International Conference on e-Science on Monday, 15 Sep 2025. This workshop is one compon…

OpenTopography + EEMT + Makeflow

The OpenTopography service provides online access to geospatial data and computational tools in support of earth sciences. The Effective Energy and Mass Tra…

Analyzing Agriculture with Work Queue

The Field Scanalyzer at the University of Arizona is a massive robot that uses sensors, cameras, and GPS devices to collect vast quantities of agricultural d…

Summer REU Projects

In summer 2019, REU students TJ Dasso and Eamon Marmion worked at the CCL on large scale distributed applications. They completed the integration between th…

IceCube Flies with Parrot and CVMFS

IceCube is a neutrino detector built at the South Pole by instrumenting about a cubic kilometer of ice with 5160 light sensors. The IceCube data is analyzed …

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Latest News and Posts

Aug 26, 2026	Kicking Off the New Semester: Welcome Andrés and Lab Updates
Aug 18, 2026	Shell Survival Skills: Terminal Tools Every HPC User Needs
Jul 29, 2026	How to Read HPC Error Logs (And What Common Failures Actually Mean)
Jul 22, 2026	Interactive Computing: Jupyter Notebooks and VS Code on Compute Nodes
Jul 15, 2026	SADE-SIM at FSE 2026

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Recent Publications

X-Bucket: A Family of Algorithms for Adaptive Resource Allocation in Dynamic Workflows

Thanh Son Phung and Douglas Thain

IEEE Transactions on Parallel & Distributed Systems, 2026

doi: 10.1109/TPDS.2026.3707191

Bib PDF

@article{x-bucket-tpds26,
  author = {Phung, Thanh Son and Thain, Douglas},
  title = {X-Bucket: A Family of Algorithms for Adaptive Resource Allocation in Dynamic Workflows},
  journal = {IEEE Transactions on Parallel \& Distributed Systems},
  keywords = {Resource management, Algorithms, Memory, Timing, Radio access networks, Regional area networks, Schedules, Scheduling, Costing, Costs},
  year = {2026},
  volume = {},
  number = {01},
  issn = {1558-2183},
  pages = {1-15},
  note = {{doi: 10.1109/TPDS.2026.3707191}},
  cclpaperid = {1008},
}

SciWIND: Effectively Exploiting Node-Local Storage for Data-Intensive High-Energy Physics Workflows

Jin Zhou, Colin Thomas, Barry Sly-Delgado, Connor Moore, Benjamin Tovar, Kevin Lannon, and Douglas Thain

In IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2026

Bib PDF

@inproceedings{sciwind-ipdps-2026,
  author = {Zhou, Jin and Thomas, Colin and Sly-Delgado, Barry and Moore, Connor and Tovar, Benjamin and Lannon, Kevin and Thain, Douglas},
  title = {{SciWIND: Effectively Exploiting Node-Local Storage for Data-Intensive High-Energy Physics Workflows}},
  booktitle = {{IEEE International Parallel and Distributed Processing Symposium (IPDPS)}},
  year = {2026},
  cclpaperid = {1007},
}

SADE-SIM: A Scalable Simulation Platform for Validating City-Scale Multi-sUAS Missions

In Workshop on Software Engineering for Engineering Simulations, and Simulation Engineering for Engineering Software (SE4ES) 2026, 2026

doi: 10.1145/3803437.3805540

Bib PDF

@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 }},
}

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