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.
Use Parsl to create parallel programs composed of Python functions and external components. Execute Parsl programs on any compute resource from laptops to ...
Parsl provides several advantages to science gateways: it allows a single script to be executed on any computing infrastructures from clouds to supercomputers; ...
Parsl extends parallelism in Python beyond a single computer. You can use Parsl just like Python's parallel executors but across multiple cores and nodes.
Here we present Parsl, a parallel scripting library for Python. Parsl makes it straightforward for developers to implement parallelism in Python by annotating ...
Parsl (Parallel Scripting Library), a Python library for programming and executing data-oriented workflows in parallel, addresses problems of sophisticated ...
Parsl manages the execution of the script on clusters, clouds, grids, and other resources; orchestrates required data movement; and manages the execution of ...
Parsl is a flexible and scalable parallel programming library for Python. Parsl augments Python with simple constructs for encoding parallelism. Developers ...
Aug 1, 2019 · Here we present Parsl, a parallel scripting library for Python. Parsl makes it straightforward for developers to implement parallelism in Python ...
Parsl is a Python-based parallel programming library that supports development and execution of asynchronous and parallel data-oriented workflows (dataflows).