Publications

Citing Parsl

Please cite the following publication in any published research that uses Parsl:

Babuji, Y., Chard, K., Foster, I., Katz, D.S., Wilde, M., Woodard, A., and Wozniak, J. Parsl: Scalable Parallel Scripting in Python. 10th International Workshop on Science Gateways. 2018.

Recent Presentations

Katz, D. S., Parsl: A Parallel Scripting Library for Python, CASC Fall 2018 Meeting, October 4, 2018.

Katz, D., Parsl: A Python-based Parallel Scripting Library, Workshop on Geospatial Use Cases and Core Technical Capabilities, BIG 10 Conference Center, July 15-17, 2018.

Chard, K., Parsl: Enabling Scalable Interactive Computing in Python, 17th annual Scientific Computing with Python conference (SciPy), July 13, 2018.

Woodard, A., Interactive, scalable, reproducible data analysis with containers, Jupyter, and Parsl, 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP). July 9, 2018.

Chard, K., Parsl Overview. Data Visualization and Exploration in the LSST Era. NCSA, June 20, 2018.

Chard, K., Parsl: Scalable Parallel Scripting in Python. 10th International Workshop on Science Gateways. June 14, 2018.

Chard, K., Parsl: A Parallel Scripting Library for Python. Notre Dame May 23, 2018.

Katz, D. S., Parsl: A Python-based Parallel Scripting Library. Collaborations Workshop. March 27, 2018.

Chard, K., Parsl: A Parallel Scripting Library for Python, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Feb 2, 2018.

Katz, D. S., Parsl: A Parallel Scripting Library for Python, Barcelona Supercomputing Center, Jan 22, 2018.

Chard, K., Parsl: A Parallel Scripting Library for Python, Advanced Photon Source, Argonne National Laboratory, Dec 20, 2017.

Chard, K., Introducing Parsl: A Parallel Scripting Library for Python, Dark Energy Science Collaboration Hack Week, Argonne National Laboratory, Dec 4-8, 2017.

All Papers