Efficient Parallel Lists Intersection and Index Compression Algorithms using Graphics Processing Units
Summary: GPU-accelerated parallel list intersection using parallel binary search; long inverted lists grow roughly linearly, enabling Linear Regression and Hash Segmentation to contract search ranges. Introduces a Linear Regression compression schema and GPU-friendly intersection of compressed lists; demonstrates large throughput gains across datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Naiyong Ao
- 2. Fan Zhang
- 3. Di Wu
- 4. Douglas S. Stones
- 5. Gang Wang
- 6. Xiaoguang Liu
- 7. Jing Liu
- 8. Sheng Lin
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,124 | Improving the Performance of List Intersection | 2009 | VLDB | 0.00013847565 |
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