Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric
Summary: Hermes turns its MySQL analytical accelerator into a distributed system via Memcom, a shared-memory fabric with locality-aware row-group placement. MPP planning and Portal-based intermediate sharing deliver up to 11× speedups over open-source systems and 1.5× over cloud services. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Tim Gubner (Huawei Europe)
- 2. Matheus Nerone (Huawei Europe)
- 3. Diego Tome (Huawei Europe)
- 4. Vitor Oliveira (Huawei Europe)
- 5. Rune Humborstad (Huawei Europe)
- 6. Manyi Lu (Huawei Europe)
BibTeX Citation
@article{gubner_vldb26,
title = {{Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric}},
author = {Gubner, Tim and Nerone, Matheus and Tome, Diego and Oliveira, Vitor and Humborstad, Rune and Lu, Manyi},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {3969--3981},
doi = {10.14778/3827998.3828009},
url = {https://doi.org/10.14778/3827998.3828009},
year = {2026}
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