This repository is a compilation of all the resources for Arkouda and Arachne. The resources here are also going to be used for the workshop to be held at PPoPP 2023
Arkouda is an open-source framework created with the intention to facilitate the processing of data at-scale with a interface similar to NumPy. It is powered through a powerful Chapel back end with a simple-to-use Python front end.
In this tutorial, we will demonstrate how Arkouda can be used not only for typical data analysis, but also explore how it can be used for large-scale graph analysis through our recently realesed Arachne framework. We will show all the steps in a typical data science workflow from data gathering to data cleaning, and ultimately, data visualization.
Arachne is an Arkouda Package for Large-Scale Graph Analytics
Arkouda Hack-a-thon videos
Bill Reus' March 2021 talk at the NJIT Data Science Seminar
Mike Merrill's CHIUW 2019 talk
Bill Reus' CLSAC 2019 talk
Arachne: An Arkouda Package for Large-Scale Graph Analytics
Large Scale String Analytics in Arkouda, IEEE HPEC.
Enabling Exploratory Large Scale Graph Analytics through Arkouda. IEEE HPEC.
K-Truss Implementation in Arkouda (Extended Abstract).
Interactive Graph Stream Analytics in Arkouda.
Exploratory Large Scale Graph Analytics in Arkouda. CHIUW.
Brief Intro about Arkouda Click Here
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