BoxKit 0.2

BoxKit Utility

Introduction

BoxKit is a library that provides building blocks to parallelize and scale data science, high performance computing, and machine learning applications for block-structured spatial datasets.

Spatial data from simulations and experiments can be organized and managed using the tools available in this library.

The library is designed into two broad categories:

CREATE - contains classes/structures to store spatial data in a rectangular/cubic frame, along with auxillary tools to manage irregular geometries composed of unstructured triangular mesh.

UTILITIES - contains classes/structures to improve memory managment of data on NUMA nodes.

This library is designed to facilitate the use of scientific datasets with more data analysis oriented packages.

Installation

Installation instructions

Using Containers

Description for using MAPLE containers

Examples

Example tests/scripts