Oliver Alvarado Rodriguez
Oliver Alvarado Rodriguez
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1
Arachne: An Arkouda Package for Large-Scale Graph Analytics
Due to the emergence of massive real-world graphs, whose sizes may extend to terabytes, new tools must be developed to enable data …
Oliver Alvarado Rodriguez
,
Zhihui Du
,
Joseph T. Patchett
,
Fuhuan Li
,
David A. Bader
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Adapting Arkouda for Enabling Large Scale Graph Algorithms
Large scale graph algorithms are required to help extract useful information from graphs. One of the main challenges arises when the …
Oliver Alvarado Rodriguez
,
David A. Bader
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DOI
Enabling Exploratory Large Scale Graph Analytics through Arkouda
Exploratory graph analytics helps maximize the informational value from a graph. However, increasing graph sizes makes it impossible …
Zhihui Du
,
Oliver Alvarado Rodriguez
,
David A. Bader
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DOI
Large Scale String Analytics In Arkouda
Large scale data sets from the web, social networks, and bioinformatics are widely available and can often be rep-resented by strings …
Zhihui Du
,
Oliver Alvarado Rodriguez
,
David A. Bader
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DOI
Exploratory Large Scale Graph Analytics in Arkouda
Exploratory graph analytics helps maximize the informational value for a graph. However, the increasing graph size makes it impossible …
Zhihui Du
,
Oliver Alvarado Rodriguez
,
David A. Bader
,
Michael Merrill
,
William Reus
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DOI
A Study of Machine Learning Inference Benchmarks
Machine learning (ML) is becoming a powerful tool for a variety of applications where artificial intelligence solutions are required. A …
Oliver Alvarado Rodriguez
,
Dev Dave
,
Weihua Liu
,
Bogong Su
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