ReMac: A Matrix Computation System with Redundancy Elimination
Summary: ReMac: distributed matrix computation with redundancy elimination. Automatic elimination uses block-wise search exploiting matrix structure for speed; adaptive elimination uses a cost model and dynamic programming to yield efficient, side-effect-safe plans. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zihao Chen
- 2. Zhizhen Xu
- 3. Baokun Han
- 4. Chen Xu
- 5. Weining Qian
- 6. Aoying Zhou
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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 |
|---|---|---|---|---|
| 318 | Overview of SciDB: Large Scale Array Storage, Processing and Analysis | 2010 | SIGMOD | 0.00027795661 |
| 2,122 | SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle | 2020 | CIDR | 9.4989076e-05 |
| 11,339 | Redundancy Elimination in Distributed Matrix Computation | 2022 | SIGMOD | 4.1945683e-05 |
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