Interactive Large-Scale Data and Graph Analytics

About Arkouda

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.

About Arachne

Arachne is an Arkouda Package for Large-Scale Graph Analytics

Previous Work

Talks

Arkouda Hack-a-thon videos
Bill Reus' March 2021 talk at the NJIT Data Science Seminar
Bill Reus' CHIUW 2020 Keynote video and slides
Mike Merrill's CHIUW 2019 talk
Bill Reus' CLSAC 2019 talk
(PAW-ATM) talk and abstract

Publications

Arachne: An Arkouda Package for Large-Scale Graph Analytics
- Oliver Alvarado Rodriguez, Zhihui Du, Joseph T. Patchett, Fuhuan Li, David A. Bader link
Large Scale String Analytics in Arkouda, IEEE HPEC.
- Zhihui Du, Oliver Alvarado Rodriguez, David Bader (2021). link
Enabling Exploratory Large Scale Graph Analytics through Arkouda. IEEE HPEC.
- Zhihui Du, Oliver Alvarado Rodriguez, David Bader (2021). link
K-Truss Implementation in Arkouda (Extended Abstract).
- Joseph Patchett, Zhihui Du, David Bader (2021). IEEE HPEC. link
Interactive Graph Stream Analytics in Arkouda.
- Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett, David Bader (2021). link
Exploratory Large Scale Graph Analytics in Arkouda. CHIUW.
- Zhihui Du, Oliver Alvarado Rodriguez, David A. Bader, Michael Merrill, William Reus (2021). link