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iBFS: Concurrent Breadth-First Search on GPUs

Summary: iBFS is a GPU-based framework for concurrent BFS from multiple sources, with a single joint-traversal kernel, outdegree-based GroupBy to maximize frontier sharing, and bitwise per-vertex checks across BFS instances. Evaluations show up to 30x single-GPU speedup and near-linear scaling to 112 GPUs, achieving peak TEPS in the tens of trillions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5150
Venue
SIGMOD
Year
2016
Pagerank
7.3361904e-05
Overall Rank
3,233 | 77.51%
DOI
10.1145/2882903.2882959

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