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Cache-Friendly Compressed Boolean Matrices

delete2026-01-01
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PRE
AI
A
Antonio Fariña
A
Adrián Gómez‐Brandón *
A
Asunción Gómez-Colomer
G
Gonzalo Navarro
DOI:10.1007/978-3-032-05228-5_9delete
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Abstract

Abstract

En 中文
We introduce a new compressed representation of sparse Boolean matrices that enjoys reference locality properties. We build on an existing representation based on LOUDS-deployed cardinal trees, and design one based instead on DFUDS. While this brings various complications, we show that the resulting matrix representation is considerably faster to carry out sums and multiplications, with speedups of up to 60%.
Keywords:
Compact Data Structures
Algebra
Binary Matrices
Cache-Friendly

Journal

S
STRING PROCESSING AND INFORMATION RETRIEVAL, SPIRE 2025
IF:
0
Papers:
22
Citations:
0

Organization

U
Universidade da Coruna
Scholars:
6.6K
Papers: 5.7K
Citations: 11
U
universidad de chile
Scholars:
2.1W
Papers: 1.4W
Citations: 18
Cited Papers

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Evaluating regular path queries on compressed adjacency matrices
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errArroyuelo,Diego; Gómez-Brandón,Adrián; Navarro,Gonzalo
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