Extended Abstract: Productive Parallel Programming with Parsl

Kyle Chard, Yadu Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian Foster, Mike Wilde, Daniel S. Katz

Research output: Contribution to journalArticlepeer-review


Parsl is a parallel programming library for Python that aims to make it easy to specify parallelism in programs and to realize that parallelism on arbitrary parallel and distributed computing systems. Parsl relies on developers annotating Python functions—wrapping either Python or external applications—to indicate that these functions may be executed concurrently. Developers can then link together functions via the exchange of data. Parsl establishes a dynamic dependency graph and sends tasks for execution on connected resources when dependencies are resolved. Parsl’s runtime system enables different compute resources to be used, from laptops to supercomputers, without modification to the Parsl program.

Original languageEnglish (US)
Pages (from-to)51-54
Number of pages4
JournalAda User Journal
Issue number1
StatePublished - Mar 2021

ASJC Scopus subject areas

  • Software


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