GraphRTX: Lighting the Way to Scalable Graph Analytics
Summary: GraphRTX repurposes NVIDIA RT cores for graph analytics, mapping graphs to reusable BVHs with a ray-based query abstraction. A hybrid RT/SMT execution model reduces irregular-access costs, rebuild overhead, and memory footprint across multiple algorithms. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Alexander Baumstark (Technical University of Ilmenau)
- 2. Kai-Uwe Sattler (Technical University of Ilmenau)
BibTeX Citation
@inproceedings{baumstark_sigmod26,
title = {{GraphRTX: Lighting the Way to Scalable Graph Analytics}},
author = {Baumstark, Alexander and Sattler, Kai-Uwe},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802070},
url = {https://dl.acm.org/doi/10.1145/3802070},
year = {2026}
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