Internal Masked Prefix Sums and Its Connection to Fully Internal Measurement Queries

Rathish Das, Meng He, Eitan Kondratovsky, J. Ian Munro, Kaiyu Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We define a generalization of the prefix sum problem in which the vector can be masked by segments of a second (Boolean) vector. This problem is shown to be related to several other prefix sum, set intersection and approximate string match problems, via specific algorithms, reductions and conditional lower bounds. To our knowledge, we are the first to consider the fully internal measurement queries and prove lower bounds for them. We also discuss the hardness of the sparse variation in both static and dynamic settings. Finally, we provide a parallel algorithm to compute the answers to all possible queries when both vectors are fixed.

Original languageEnglish
Title of host publicationString Processing and Information Retrieval - 29th International Symposium, SPIRE 2022, Proceedings
EditorsDiego Arroyuelo, Diego Arroyuelo, Barbara Poblete
PublisherSpringer Science and Business Media Deutschland GmbH
Pages217-232
Number of pages16
ISBN (Print)9783031206429
DOIs
StatePublished - 2022
Externally publishedYes
Event29th International Symposium on String Processing and Information Retrieval, SPIRE 2022 - Concepción, Chile
Duration: 8 Nov 202210 Nov 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13617 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Symposium on String Processing and Information Retrieval, SPIRE 2022
Country/TerritoryChile
CityConcepción
Period8/11/2210/11/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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