JOURNAL ARTICLE

Decomposing banyan networks for performance analysis

Udai GargYo‐Ping Huang

Year: 1988 Journal:   IEEE Transactions on Computers Vol: 37 (3)Pages: 371-376   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A general form of input-destination distribution matrix increases state space exorbitantly, thus making any buffer at every state statistically different from another. Certain specific forms of input-destination distribution matrix to which many real-life cases may conform, are analyzed. The idea called decomposition is applied here for specific nonhomogeneous flows. State space is not allowed to increase significantly; also the reduction in network size at successive stages is utilized to increase the computational efficiency.< >

Keywords:
Banyan Computer science State space Reduction (mathematics) Space (punctuation) Decomposition Matrix (chemical analysis) State (computer science) Distribution (mathematics) Algorithm Matrix decomposition Theoretical computer science Parallel computing Mathematics Computer network Statistics

Metrics

27
Cited By
5.39
FWCI (Field Weighted Citation Impact)
3
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Low-power high-performance VLSI design
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Analog and Mixed-Signal Circuit Design
Physical Sciences →  Engineering →  Biomedical Engineering

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