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
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Arkouda Hack-a-thon videos
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Bill Reus' March 2021 talk at the NJIT Data Science Seminar
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Mike Merrill's CHIUW 2019 talk
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Bill Reus' CLSAC 2019 talk
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Arachne: An Arkouda Package for Large-Scale Graph Analytics
- Oliver Alvarado Rodriguez, Zhihui Du, Joseph T. Patchett, Fuhuan Li, David A. Bader link
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Large Scale String Analytics in Arkouda, IEEE HPEC.
- Zhihui Du, Oliver Alvarado Rodriguez, David Bader (2021). link
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Enabling Exploratory Large Scale Graph Analytics through Arkouda. IEEE HPEC.
- Zhihui Du, Oliver Alvarado Rodriguez, David Bader (2021). link
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K-Truss Implementation in Arkouda (Extended Abstract).
- Joseph Patchett, Zhihui Du, David Bader (2021). IEEE HPEC. link
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Interactive Graph Stream Analytics in Arkouda.
- Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett, David Bader (2021). link
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Exploratory Large Scale Graph Analytics in Arkouda. CHIUW.
- Zhihui Du, Oliver Alvarado Rodriguez, David A. Bader, Michael Merrill, William Reus (2021). link
- Arkouda Hack-a-thon videos
Brief Intro about Arkouda Click Here
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