DocumentCode :
2563013
Title :
Analysis of All to All Broadcast on multi mesh of trees using genetic algorithm
Author :
Rakesh, Nitin ; Nitin
Author_Institution :
Dept. of Comput. Sci. & Eng. & Inf. Technol., Jaypee Univ. of Inf. Technol., Waknaghat, India
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Various communication algorithms have been proposed on a variety of network architectures. However, an efficient algorithm on an efficient architecture is always the focus point. We have proposed all to all broadcast (AAB) algorithm on multi mesh trees using parallel random access machine (PRAM), which combines the topological properties of multi-mesh and mesh of trees architecture. The algorithm is elaborated by taking eight processors in each mesh. Further, the proposed algorithm has been scaled by the genetic algorithm (GA) approach (for correctness) that passes the algorithm through functions such as fitness, crossover, mutation and evaluation. The fitness function deals with conflicts that occur during communication. Crossover and mutation look for new solutions by computing probability of crossover (pcc) and probability of mutation (pmm) that are compared by an evaluation function.
Keywords :
concurrency theory; genetic algorithms; mesh generation; multiprocessor interconnection networks; probability; trees (mathematics); all to all broadcast; genetic algorithm; multi mesh trees; network architectures; parallel random access machine; probability of crossover; probability of mutation; Algorithm design and analysis; Broadcasting; Computer architecture; Computer science; Genetic algorithms; Genetic mutations; Information analysis; Information technology; Network topology; Tree graphs; All-to-All Broadcast; Crossover; Genetic Algorithm; Inter and Intra Block Connectivity; Multi Mesh of Trees; Mutation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
Type :
conf
DOI :
10.1109/ICUMT.2009.5345651
Filename :
5345651
Link To Document :
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