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IMPROVING THE EFFICIENCY OF THE METHOD OF SPECULATIVE MULTI-THREADING FOR DYNAMIC PARALLELIZING

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015Publisher:Plekhanov Russian University of Economics (PRUE)Journal:Statistics and Economics (issn: 2500-3925, Copyright policy )
Authors: Marina Bakuleva; Alexander Bakulev;

doi: 10.21686/2500-3925-2015-5-149-153

IMPROVING THE EFFICIENCY OF THE METHOD OF SPECULATIVE MULTI-THREADING FOR DYNAMIC PARALLELIZING

Abstract

The possibilities of the method of speculative multithreading dynamic parallelization of sequential programs. It implemented its formalization and identified characteristics of the method, the account which will increase the efficiency of its use in automatic parallelizing. The results of experimental studies of the algorithm dynamically allocate speculative regions.

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Keywords

automatic paral lelization, multi-core, Economics as a science, спекулятивная многопоточность, parallel algorithms, параллельные алгоритмы, авто матическое распараллеливание, speculative multithreading, многоядерные про цессоры, HB71-74

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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