Skip to main content

A tool for generating optimized decompositions of gridded geometries for simulation

Project description

SLAGG - Simplified Load-balancing Algorithm for General Geometries

GitHub license PyPI - Python Version

This package provides a set of Python-based tools for creating load-balanced domain decompositions that can be used for numerical simulations.

Features

  • Ability to specify Grid, Geometry as STL, and desired Decomp slabs

  • Basic Decomposition can be augmented with refinements to load-balance and reduce memory usage

Installation

slagg is available from PyPI, so can be easily installed using pip as follows:

pip install slagg

Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

slagg-0.1-py3-none-any.whl (2.7 MB view details)

Uploaded Python 3

File details

Details for the file slagg-0.1-py3-none-any.whl.

File metadata

  • Download URL: slagg-0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for slagg-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 daf39317a90d2cf3477d4dad78293fd5fd93dc65ee938d300feb1ef8116b2fa9
MD5 0fe91489e6bfa523390c4ced58eaf3a6
BLAKE2b-256 55824e61576c9faad4a3a9baf8fd0065ebc3eb216079533f6be39f0f4c547891

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page