Publications

Citing Parsl

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

Yadu Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Luksaz Lacinski, Ryan Chard, Justin M. Wozniak, Ian Foster, Michael Wilde and Kyle Chard. "Parsl: Pervasive Parallel Programming in Python." 28th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC). 2019. 10.1145/3307681.3325400

Recent Presentations

Chard, K., Scalable Parallel Programming in Python with Parsl. Practice & Experience in Advanced Research Computing, July 31, 2019.

Babuji, Y., Parsl: Pervasive Parallel Programming in Python. ACM Symposium on High-Performance Parallel and Distributed Computing, June 26 , 2019.

D. S. Katz, Y. Babuji, A. Woodard, Z. Li, B. Clifford, R. Kumar, L. Lacinski, R. Chard, J. M. Wozniak, I. Foster, M. Wilde, K. Chard, "Parsl: Pervasive Parallel Programing in Python," Jupyter Community Workshop for Scientific User Facilities and High-Performance Computing, June 12 2019.

Chard, K., Parsl, a Python‐based Parallel Scripting Library. Enabling Multi-Messenger Astrophysics in the Big Data Era Workshop, April 26, 2019.

Chard, K., Parsl: Pervasive Parallel Programming in Python. DOE WOrkflow Workshop and Hackathon, March 19 , 2019.

Wagner, R., Managing Large-Scale Cosmology Simulations with Parsl and Singularity.Singularity User Group Meeting, March 13, 2019.

Y. Babuji, K. Chard, D. S. Katz, B. Clifford, I. Foster, L. Lacinski, Z. Li , C. Pigg, M. Wilde, A. Woodard, and J. Wozniak, "Parsl: A Python-based Parallel Scripting Library," SIAM CSE19, poster, February 25, 2019. https://doi.org/10.6084/m9.figshare.7016936.v1

Chard, K. Parsl: Pervasive Parallel Programing in Python, SCiMMA: Community planning for Scalable Cyberinfrastructure to support Multi-Messenger Astrophysics, December 11, 2018.

Chard, K. Parsl: Enabling Scalable Interactive Dataflow in Python, BioExcel/MolSSI Workshop on Workflows in Biomolecular Simulations, December 11, 2018.

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