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LightRW: FPGA Accelerated Graph Dynamic Random Walks

Summary: LightRW, an FPGA accelerator for Graph Dynamic Random Walks (GDRWs), enables fine-grained pipelines and memory-access optimizations to beat CPUs. Key ideas: parallel reservoir sampling, degree-aware on-chip caching, and a dynamic burst fetcher; up to 9.55x/9.10x speedups vs MetaPath/Node2vec; open-sourced. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6655
Venue
SIGMOD
Year
2023
Pagerank
5.3343985e-05
Overall Rank
9,004 | 38.23%
DOI
10.1145/3588944

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tan_sigmod23,
        title = {{LightRW: FPGA Accelerated Graph Dynamic Random Walks}},
        author = {Tan, Hongshi and Chen, Xinyu and Chen, Yao and He, Bingsheng and Wong, Weng-Fai},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588944},
        url = {https://dl.acm.org/doi/10.1145/3588944},
        year = {2023}
}

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