Section: General | Accelerating Graph Analysis on GPUs | CO DRI Training

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Date: March 27, 12:00pm-1:00pm ET

Presenters: Jinhui Qin (SHARCNET)

Graph analysis plays a critical role in many applications across various domains, ranging from social network analysis to bioinformatics, to fraud detection, to cybersecurity, to recommendation systems, etc. NetworkX is the go-to library for graph analysis in Python. However, when dataset and graph sizes grow, the performance of using NetworkX becomes a significant concern. This webinar introduces NVIDIA cuGraph for accelerating graph analysis on GPUs. Moreover, a recent integration of NetworkX with cuGraph, named nx-cugraph, allows accelerating workflows in NetworkX on GPUs with zero code changes. A live demo will be done on the clusters.

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  This event is part of the Compute Ontario Colloquium Series.