A Multithreaded-BFS Algorithm for Optimizing the Graph Computation in Multicore Processing System

Graphs are the most complex data structure that involves heavy mathematical computations. Various real-time applications use the graph at storage, processing, object characterization, and behavior specification stages. The connectivity analysis, coverage building, and routing are the critical applic...

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Vydané v:Procedia computer science Ročník 233; s. 138 - 146
Hlavní autori: Juneja, Kapil, Khurana, Dhiraj
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 2024
Predmet:
Breadth-First Search
Depth First Search
Graph Processing
Multi-Core Processor
Parallel Processing
Multi-Core Processor
Parallel Processing
Depth First Search
Graph Processing
Breadth-First Search
ISSN:1877-0509, 1877-0509
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Popis
Shrnutí:Graphs are the most complex data structure that involves heavy mathematical computations. Various real-time applications use the graph at storage, processing, object characterization, and behavior specification stages. The connectivity analysis, coverage building, and routing are the critical applications of graph evaluation. Various associated applications need the exploration of a graph with a practical and real-time outcome. The processing of larger graphs is a big challenge for the researcher. In this paper, a hybrid graph-based computation optimization method is designed to optimize the performance of graph processing in multi-core processors. The BFS algorithm is applied over the multiple processors to optimize the functional response. The multithreaded-BFS is implemented to reduce the time of graph processing and computation. The proposed algorithm is implemented in the OpenMP environment. The experimentation is done on two-core and four-core processors. The experiment is conducted on a 100 to 1000-node network. The traversing and graph coloring algorithms are implemented for the analysis. The comparative analysis is conducted on single-core and multi-core processors with DFS and BFS-based algorithms. The analysis results identified that the proposed algorithm reduced the processing time effectively.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2024.03.203