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Python Binding for COMP Superscalar Runtime

Project description

PyCOMPSs is a framework which aims to ease the development and execution of Python parallel applications for distributed infrastructures, such as Clusters and Clouds.

Overview

PyCOMPSs is the Python binding of COMPSs, a programming model and runtime which aims to ease the development of parallel applications for distributed infrastructures, such as Clusters and Clouds. The Programming model offers a sequential interface but at execution time the runtime system is able to exploit the inherent parallelism of applications at task level. The framework is complemented by a set of tools for facilitating the development, execution monitoring and post-mortem performance analysis.

A PyCOMPSs application is composed of tasks, which are methods annotated with decorators following the PyCOMPSs syntax. At execution time, the runtime builds a task graph that takes into account the data dependencies between tasks, and from this graph schedules and executes the tasks in the distributed infrastructure, taking also care of the required data transfers between nodes.

Official web page: http://compss.bsc.es

Documentation

PyCOMPSs documentation can be found at http://compss.bsc.es (Documentation tab) and at https://compss-doc.readthedocs.io/en/stable/

(See “PIP” section in the Installation and Administration Section)

Installation

First, be sure that the target machine satisfies the mentioned dependencies on the installation manual.

The installation can be done in various alternative ways:

  • Use PIP to install the official PyCOMPSs version from the pypi live repository:

    $ sudo -E python3 -m pip install pycompss -v
    
  • Use PIP to install PyCOMPSs from a pycompss-<version>.tar.gz file:

    $ sudo -E python3 -m pip install pycompss-<version>.tar.gz -v
    
  • Use the setup.py script:

    $ sudo -E python3 setup.py install
    

Workflows and Distributed Computing

Department of Computer Science

Barcelona Supercomputing Center (http://www.bsc.es)

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