High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance
Summary: Adaptive materialization turns in-memory hash operators into spill-friendly OOM operators without sacrificing in-memory speed. Self-regulating compression optimizes spilling throughput on NVMe arrays, enabling Spilly to match in-memory performance while handling large out-of-memory workloads. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Maximilian Kuschewski
- 2. Jana Giceva
- 3. Thomas Neumann
- 4. Viktor Leis
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,980 | Declarative Memory Services | 2026 | CIDR | 4.1945683e-05 |
| 10,255 | How to Write to SSDs | 2026 | VLDB | 4.1945683e-05 |
| 10,714 | Towards Designing Future-Proof Data Processing Systems | 2025 | VLDB | 4.1945683e-05 |
| 10,852 | CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics | 2025 | VLDB | 4.1945683e-05 |
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