Accelerating Merkle Patricia Trie with GPU
Summary: GPU-parallel MPT acceleration addresses GPU-specific node-splitting and hash-computation conflicts with lock-free PhaseNU, lock-based LockNU, and PhaseHC. Integrated into Geth and LedgerDB, it substantially outperforms deployed MPT implementations across workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yangshen Deng (AlayaDB AI; Southern University of Science and Technology)
- 2. Muxi Yan (AlayaDB AI; Southern University of Science and Technology)
- 3. Bo Tang (AlayaDB AI; Southern University of Science and Technology)
BibTeX Citation
@article{deng_vldb24,
title = {{Accelerating Merkle Patricia Trie with GPU}},
author = {Deng, Yangshen and Yan, Muxi and Tang, Bo},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {1856--1869},
doi = {10.14778/3659437.3659443},
url = {https://doi.org/10.14778/3659437.3659443},
year = {2024}
}
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