On Parallel External-Memory Bidirectional Search (Extended Abstract)

Lior Siag; Shahaf S. Shperberg; Ariel Felner; Nathan R. Sturtevant

doi:10.1609/socs.v17i1.31582

On Parallel External-Memory Bidirectional Search (Extended Abstract)

Lior Siag, Shahaf S. Shperberg, Ariel Felner, Nathan R. Sturtevant

Department of Software and Information Systems Engineering

Ben-Gurion University of the Negev

Research output: Contribution to journal › Conference article › peer-review

Abstract

Parallelization and External Memory (PEM) techniques significantly enhance the capabilities of search algorithms for solving large-scale problems. While previous research on PEM has primarily centered on unidirectional algorithms, this work presents a versatile PEM framework that integrates both uni-and bi-directional best-first search algorithms.

Original language	American English
Pages (from-to)	283-284
Number of pages	2
Journal	The International Symposium on Combinatorial Search
Volume	17
Issue number	1
DOIs	https://doi.org/10.1609/socs.v17i1.31582
State	Published - 1 Jan 2024
Event	17th International Symposium on Combinatorial Search, SoCS 2024 - Kananaskis, Canada Duration: 6 Jun 2024 → 8 Jun 2024

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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10.1609/socs.v17i1.31582

Cite this

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title = "On Parallel External-Memory Bidirectional Search (Extended Abstract)",

abstract = "Parallelization and External Memory (PEM) techniques significantly enhance the capabilities of search algorithms for solving large-scale problems. While previous research on PEM has primarily centered on unidirectional algorithms, this work presents a versatile PEM framework that integrates both uni-and bi-directional best-first search algorithms.",

author = "Lior Siag and Shperberg, {Shahaf S.} and Ariel Felner and Sturtevant, {Nathan R.}",

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AU - Shperberg, Shahaf S.

AU - Felner, Ariel

AU - Sturtevant, Nathan R.

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Y1 - 2024/1/1

N2 - Parallelization and External Memory (PEM) techniques significantly enhance the capabilities of search algorithms for solving large-scale problems. While previous research on PEM has primarily centered on unidirectional algorithms, this work presents a versatile PEM framework that integrates both uni-and bi-directional best-first search algorithms.

AB - Parallelization and External Memory (PEM) techniques significantly enhance the capabilities of search algorithms for solving large-scale problems. While previous research on PEM has primarily centered on unidirectional algorithms, this work presents a versatile PEM framework that integrates both uni-and bi-directional best-first search algorithms.

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U2 - 10.1609/socs.v17i1.31582

DO - 10.1609/socs.v17i1.31582

M3 - Conference article

SN - 2832-9171

VL - 17

SP - 283

EP - 284

JO - The International Symposium on Combinatorial Search

JF - The International Symposium on Combinatorial Search

IS - 1

T2 - 17th International Symposium on Combinatorial Search, SoCS 2024

Y2 - 6 June 2024 through 8 June 2024

ER -

On Parallel External-Memory Bidirectional Search (Extended Abstract)

Abstract

All Science Journal Classification (ASJC) codes

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