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Contents:

  • cuGraph Introduction
  • Vision
  • Terminology
  • cuGraph API Reference
  • Multi-GPU with cuGraph
  • cuGraph BLOGS and Presentations
    • BLOGS
      • 2019
      • 2020
      • 2021
    • Media
    • Academic Papers
    • Other BLOGS
  • References
  • NetworkX Compatibility and Transition
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cuGraph BLOGS and Presentations¶

The RAPIDS team blogs at https://medium.com/rapids-ai, and many of these blog posts provide deeper dives into features from cuGraph. Here, we’ve selected just a few that are of particular interest to cuGraph users:

BLOGS¶

2019¶

  • RAPIDS cuGraph

  • RAPIDS cuGraph — The vision and journey to version 1.0 and beyond

  • RAPIDS cuGraph : multi-GPU PageRank

  • Similarity in graphs: Jaccard versus the Overlap Coefficient

2020¶

  • Status of RAPIDS cuGraph — Refactoring Code And Rethinking Graphs

  • Tackling Large Graphs with RAPIDS cuGraph and CUDA Unified Memory on GPUs

  • RAPIDS cuGraph adds NetworkX and DiGraph Compatibility

  • Large Graph Visualization with RAPIDS cuGraph

2021¶

  • <soon>

Media¶

  • Nvidia Rapids cuGraph: Making graph analysis ubiquitous

  • RAPIDS cuGraph – Accelerating all your Graph needs

Academic Papers¶

    1. Kang, A. Fender, J. Eaton, B. Rees: Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters. In IEEE HPEC, Sep. 2020

Other BLOGS¶

  • 4 graph algorithms on steroids for data scientists with cugraph

  • Where should I walk

  • Where really are the parking spots?

  • Accelerating Single Cell Genomic Analysis using RAPIDS

Copyright (c) 2020, NVIDIA CORPORATION.

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© Copyright 2019-2020, NVIDIA.

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