Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices
Summary: Proposes a lossless matrix compressor for real-valued data with mat-vec time/space proportional to compressed size, beating gzip and approaching xz. Adds column-reordering via a similarity score to cut peak memory and beat CLA in multithreaded speed. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Paolo Ferragina
- 2. Giovanni Manzini
- 3. Travis Gagie
- 4. Dominik Köppl
- 5. Gonzalo Navarro
- 6. Manuel Striani
- 7. Francesco Tosoni
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,678 | AWARE: Workload-aware, Redundancy-exploiting Linear Algebra | 2023 | SIGMOD | 5.4536402e-05 |
| 10,303 | Morphing-based Compression for Data-centric ML Pipelines | 2026 | VLDB | 5.1725247e-05 |
| 10,390 | HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture | 2025 | SIGMOD | 5.1725247e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,618 | Compressed Linear Algebra for Large-Scale Machine Learning | 2016 | VLDB | 0.00010273817 |
| 3,846 | Compressing Large Boolean Matrices Using Reordering Techniques | 2004 | VLDB | 7.1297616e-05 |
| 5,896 | Column Partition and Permutation for Run Length Encoding in Columnar Databases | 2020 | SIGMOD | 6.1116065e-05 |
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