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Title Cache-Friendly Compressed Boolean Matrices
Authors Antonio Fariña, Adrián Gómez-Brandón, Asunción Gómez-Colomer, Gonzalo Navarro
Publication date 2025
Abstract 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%.
Pages 95-108
Conference name International Symposium on String Processing and Information Retrieval
Publisher Springer-Verlag (Berlin/Heidelberg, Germany)
Reference URL View reference page