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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
12713
Venue
VLDB
Year
2022
Pagerank
4.4730648e-05
Overall Rank
8,657 | 39.78%
DOI
10.14778/3547305.3547321

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