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 Scientific Computing with funcX and Parsl" at Victoria University of Wellington. July 2021.

Chard K., funcX: Managed and Federated FaaS for Research. NZ eResearch Conference. February 2021

Katz D., "Case Studies in Scientific Software Sustainability," SIAM CSE21 2021.

Chard K.,Parsl: Productive Parallel and Distributed Programming in Python. HILT 2020 Workshop on Safe Languages and Technologies for Structured and Efficient Parallel and Distributed/Cloud Computing. November 2020

Katz, D., common workflow registry of compute endpoints and applications, 11th Joint Lab for Exascale Computing (JLESC) Workshop, September 2020

Chard K., funcX: Federated function as a service for science. NZ RSE workshop. September 2020

Chard K., funcX: Federated function as a service for science. Linea workshop. August 2020

Katz, D., Chard, Kyle, Badia Rosa, and Ejarque, Jorge, A common workflow registry of compute endpoints and applications. 2020 Collegeville Workshop on Scientific Software. July 2020

Chard K., funcX: Federated function as a service for science. WoWoHa workshop. July 2020

Katz, D., Research Software Sustainability, Australia Research Data Commons (ARDC), May 27, 2020.

Katz, D., Research Software Sustainability, NIH's Biomedical Information Science and Technology Initiative (BISTI), May7, 2020.

Chard K., Parsl: Pervasive Parallel Programing in Python, ECP Industry Deep Dive workshop

Chard K., Parsl: Pervasive Parallel Programing in Python, Chicago PyData meetup.

Katz, D., "Research Software Sustainability", NITRD HEC IWG meeting

Li, Z., Parsl: Pervasive Parallel Programing in Python, Python for High Performance and Scientific Computing on SC'2019. November 2019

Katz, D., Unicamp's Center for Computing in Engineering & Sciences' Workshop VI

Katz, D., Parsl at the University of Manchester, September 2019

Katz, D., "Better Software, Better Careers, Better Research" at Sandia. August 2019

Chard, K., Scalable Parallel Programming in Python with Parsl. Practice & Experience in Advanced Research Computing, July 31, 2019. 10.1145/3332186.3332231

Babuji, Y., Parsl: Pervasive Parallel Programming in Python. ACM Symposium on High-Performance Parallel and Distributed Computing, June 26 , 2019. 10.1145/3307681.3325400

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. 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