Skip to main content

PyCOMPSs

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)

Metadata

Release files for pycompss 3.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pycompss 3.4
File Size Uploaded Provenance Actions
pycompss-3.4.tar.gz 17.9 kB Without provenance Details for pycompss-3.4.tar.gz

Release files / pycompss-3.4.tar.gz

Download URL pycompss-3.4.tar.gz
Size 17.9 kB
Tags Source
SHA-256 checksum
How to use checksums
769ebf26d145e87aca3b565ffdd1329846cccbd00b84ce4f0a6308da24ed98ca
BLAKE2b-256 checksum
How to use checksums
7e08342dde0d4b7c030abae6068396a604a0b14c6bd7a10d390bee7e617aad1e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.12

Security for pycompss 3.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page