Structural Analysis of Multi-Core Processor and Reliability Evaluation Model

Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez and Francisco Criado-Aldeanueva ()
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Sergo Tsiramua: Institute of Informatics, School of Science and Technologies, University of Georgia, 0171 Tbilisi, Georgia
Hamlet Meladze: Muskhelishvili Institute of Computational Mathematics, Georgian Technical University, 0131 Tbilisi, Georgia
Tinatin Davitashvili: Departments of Mathematics and Computer Science, The Faculty of Exact and Natural Sciences, Ivane Javakhishvili Tbilisi State University, 0131 Tbilisi, Georgia
Jose-Maria Sanchez-Sáez: Department of Didactics of Mathematics, Faculty of Education, University of Malaga, 29071 Malaga, Spain
Francisco Criado-Aldeanueva: Department of Applied Physics II, Polytechnic School, University of Malaga, 29071 Malaga, Spain

Mathematics, 2025, vol. 13, issue 3, 1-19

Abstract: In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. Using logical–probabilistic methods, the following has been developed: models for evaluating the reliability and fault tolerance of processor cores as multi-functional elements; logical–probabilistic models of the shortest paths, flexibility, and performance conditions for successful operation of multi-core processors based on multi-functional cores; and models for estimating the reliability, fault tolerance, and lifetime of multi-core processors considering all possible states of performance. The results of the structural analysis of two-core and four-core processors and the trends of increasing the efficiency indicators of multi-core processors are presented.

Keywords: multi-core processor; reliability; fault tolerance; modeling; variable structure reconfigurable system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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