TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems
Summary: TOP introduces a generic distance-abstraction and seven principles for applying triangle inequality to optimize distance-related algorithms. Using this framework, Triangular Optimizer auto-generates algorithms that match or surpass manually tuned designs, delivering up to 237× speedups (avg 2.5×). (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yufei Ding
- 2. Xipeng Shen
- 3. Madanlal Musuvathi
- 4. Todd Mytkowicz
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 1,927 | Efficient Processing of k Nearest Neighbor Joins using MapReduce | 2012 | VLDB | 0.00010062395 |
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