HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics
Summary: HippogriffDB is a scalable GPU OLAP engine balancing slow storage against fast GPU bandwidth via compressed storage, GPU decompression, and direct SSD-to-GPU transfers. Query-over-block execution, fusion, and double buffering enable 1–2-order-of-magnitude gains over YDB and MonetDB. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jing Li (University of California San Diego)
- 2. Hung-Wei Tseng (North Carolina State University; University of California San Diego)
- 3. Chunbin Lin (University of California San Diego)
- 4. Yannis Papakonstantinou (University of California San Diego)
- 5. Steven Swanson (University of California San Diego)
BibTeX Citation
@article{li_vldb16,
title = {{HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics}},
author = {Li, Jing and Tseng, Hung-Wei and Lin, Chunbin and Papakonstantinou, Yannis and Swanson, Steven},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {14},
pages = {1647--1660},
doi = {10.14778/3007328.3007336},
url = {https://doi.org/10.14778/3007328.3007336},
year = {2016}
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