DBScholar

Back to papers

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)

Paper ID
12901
Venue
VLDB
Year
2022
Pagerank
5.4002779e-05
Overall Rank
8,617 | 40.89%
DOI
10.14778/3547305.3547321

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ferragina_vldb22,
        title = {{Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices}},
        author = {Ferragina, Paolo and Manzini, Giovanni and Gagie, Travis and Köppl, Dominik and Navarro, Gonzalo and Striani, Manuel and Tosoni, Francesco},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {10},
        pages = {2175--2187},
        doi = {10.14778/3547305.3547321},
        url = {https://doi.org/10.14778/3547305.3547321},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers