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introducing parsl a python parallel scripting library

Name: Introducing Parsl: A Python Parallel Scripting Library
Keywords: Parsl, Parallel scripting, Python

descriptionPublicationkeyboard_double_arrow_right Other literature type , Research 30 Aug 2017Publisher:Zenodo

Authors: Yadu Babuji; Daniel S. Katz; Michael Wilde; Kyle Chard; Alison Brizius; Ian Foster; Justin M. Wozniak;

doi: 10.5281/zenodo.853492 , 10.5281/zenodo.891533 , 10.5281/zenodo.853491

introducing parsl a python parallel scripting library

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Abstract

Researchers frequently rely on large-scale and domain-specific workflows to conduct their science. These workflows may integrate a variety of independent software functions and external applications. However, developing and executing such workflows can be difficult, requiring complex orchestration and management of applications and data as well as customization for specific execution environments. Parsl (Parallel Scripting Library), a Python library for programming and executing data-oriented workflows in parallel, addresses these problems. Developers simply annotate a Python script with Parsl directives; Parsl manages the execution of the script on clusters, clouds, grids, and other resources. Parsl orchestrates required data movement and manages the execution of Python functions and external applications in parallel. In this abstract we describe Parsl’s architecture and highlight two domains in which it has been used.

Related Organizations

University of Chicago
United States
University of Illinois at Urbana Champaign
United States
Argonne National Laboratory
United States

Keywords

Parsl, Parallel scripting, Python

6 Research products, page 1 of 1

Parsl Sustainability
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2018-08 Parsl poster.pdf
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RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms
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Parsl
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ParslRNA-seq Scientific Workflow
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Dynamic multi-workflow scheduling: A deadline and cost-aware approach for commercial clouds
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