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GPU-based Graph Traversal on Compressed Graphs

Summary: GPU-based graph traversal on compressed graphs enables processing graphs larger than device memory. Introduces Two-Phase Traversal and Task-Stealing to mitigate SIMT divergence and workload imbalance, plus Warp-centric Decoding and Residual Segmentation for power-law graphs, achieving 2x–18x compression with competitive efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5683
Venue
SIGMOD
Year
2019
Pagerank
6.1146374e-05
Overall Rank
4,522 | 68.55%
DOI
10.1145/3299869.3319871

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