TOD: GPU-accelerated Outlier Detection via Tensor Operations
Summary: TOD: first tensor-algebra OD system for distributed multi-GPU, decomposing OD algorithms into a few tensor operators to leverage DL hardware/software. Uses provable quantization (no accuracy loss) and automatic multi-GPU batching to fit memory and scale, giving ~10.9x avg speedup vs PyOD and handling larger datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yue Zhao (Carnegie Mellon University)
- 2. George H. Chen (Carnegie Mellon University)
- 3. Zhihao Jia (Carnegie Mellon University)
BibTeX Citation
@article{zhao_vldb23,
title = {{TOD: GPU-accelerated Outlier Detection via Tensor Operations}},
author = {Zhao, Yue and Chen, George H. and Jia, Zhihao},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {3},
pages = {546--560},
doi = {10.14778/3570690.3570703},
url = {https://doi.org/10.14778/3570690.3570703},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,880 | MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training | 2025 | SIGMOD | 5.2040783e-05 |
| 10,060 | TenGraph: A Tensor-Based Graph Query Engine | 2024 | VLDB | 5.166346e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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