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Sharing of Functional and Special Means in Pipeline Floating-Point Systems with Strongly Connected Versions

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dc.contributor.author Drozd, Oleksandr
dc.contributor.author Дрозд, Олександр Валентинович
dc.contributor.author Kovalev, Igor
dc.contributor.author Ковальов, Ігор Станіславович
dc.contributor.author Drozd, Myroslav
dc.contributor.author Дрозд, Мирослав Олександрович
dc.contributor.author Martynyuk, Oleksandr
dc.contributor.author Мартинюк, Олександр Миколайович
dc.contributor.author Polozhaienko, Serhii
dc.contributor.author Положаєнко, Сергій Анатолійович
dc.date.accessioned 2020-09-28T07:05:05Z
dc.date.available 2020-09-28T07:05:05Z
dc.date.issued 2019
dc.identifier.citation Drozd, O., Kovalev, I., Drozd, M., Martynyuk, O., Polozhaienko, S. (2019). Sharing of Functional and Special Means in Pipeline Floating-Point Systems with Strongly Connected Versions. Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Conference 18-21 Sept. 2019, Vol. 1, p. 249–253. en
dc.identifier.citation Sharing of Functional and Special Means in Pipeline Floating-Point Systems with Strongly Connected Versions / O. Drozd, I. Kovalev, M. Drozd, O. Martynyuk, S. Polozhaienko // Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications : conference 18–21 Sept. 2019. – 2019. – Vol. 1. – P. 249–253. en
dc.identifier.other DOI: 10.1109/IDAACS.2019.8924289
dc.identifier.uri https://ieeexplore.ieee.org/document/8924289
dc.identifier.uri http://dspace.opu.ua/jspui/handle/123456789/11042
dc.description.abstract This paper is dedicated to a problem of designing of the multi-version systems with strongly connected versions in area of pipeline data processing in the floating-point formats. Multi-version systems are directed to parrying of common cause failures, including design errors. This problem is traditionally solved on the basis of creation of the most independent versions which number determines considerable complexity of a system. This leads to restriction in development of the multi-version system. Systems with strongly connected versions are aimed at the solution of the same task, but in the conditions of the maximum connectivity of versions at which the task is feasible. The problem is solved in the presence of at least one right version and means of its search. Sections of modern pipeline systems are the matrix structures constructed of uniform elements with regular connections: parallel adders and shifters, iterative array multipliers and dividers. Such structures allow to form strongly connected versions which search can be carried out by cyclic shift of operands. Pipeline floating-point systems execute processing of the data, presented by mantissas and exponents whose interaction is carried out by means of the operations of normalization and a denormalization on the basis of arithmetic shift. We offer sharing of functional means in performance of operations of normalization and a denormalization with special functions of search of the right version on the basis of joint realization of operations of cyclic and arithmetic shift. en
dc.language.iso en en
dc.subject multi-version system en
dc.subject strongly connected versions en
dc.subject common cause failures en
dc.subject pipeline floating-point system en
dc.subject mantissa en
dc.subject normalization en
dc.title Sharing of Functional and Special Means in Pipeline Floating-Point Systems with Strongly Connected Versions en
dc.type Article in Scopus en
opu.kafedra Кафедра комп’ютерних інтелектуальних систем та мереж uk
opu.citation.firstpage 249 en
opu.citation.lastpage 253 en
opu.citation.conference 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2019 en
opu.staff.id drozd@opu.ua en
opu.staff.id myroslav.drozd@opu.ua en
opu.staff.id martynyuk@opu.ua en
opu.staff.id polozhaenko@opu.ua en
opu.conference.dates 18-21 Вересня 2019 en


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