Hyper-threading technology: Not a good choice for speeding up CPU-bound code

dc.contributor.authorQun, Ng Hui
dc.contributor.authorKhalib, Z.I.A
dc.contributor.authorWarip, M. N.
dc.contributor.authorElobaid, M. Elshaikh
dc.contributor.authorRahman, Mostafijur
dc.contributor.authorZahri, N.A.H.
dc.contributor.authorSaad, Puteh
dc.date.accessioned2018-09-24T06:48:40Z
dc.date.accessioned2019-05-27T09:59:30Z
dc.date.available2018-09-24T06:48:40Z
dc.date.available2019-05-27T09:59:30Z
dc.date.issued2017-01-05
dc.description.abstractHyper-threading (HT) technology allows one thread to execute its task while another thread is stalled waiting for shared resource or other operations to complete. Thus, this reduces the idle time of a processor. If HT is enabled, an operating system would see two logical cores per each physical core. This gives one physical core the ability to run two threads simultaneously. However, it does not necessarily speed up the performance of a parallel code twice the number of physical cores. This happens when two threads are trying to access the shared CPU resource. The instructions could only be executed one after another at any given time. In this case, parallel CPU-bound code could attain a little improvement in terms of speedup from HT on a quad-core platform, which is Intel [email protected]. Full Text Link: http://doi.org/10.1109/ICED.2016.7804711
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/3301
dc.identifier.urihttp://hdl.handle.net/20.500.11948/3301
dc.language.isoen
dc.publisherIEEE Xplore
dc.sourceDIU Institutional Repository
dc.subjectAlgorithm design and analysis
dc.subjectInstruction sets
dc.subjectParallel processing
dc.subjectMulticore processing
dc.subjectHeuristic algorithms
dc.subjectScalability
dc.subjectParallel programming
dc.titleHyper-threading technology: Not a good choice for speeding up CPU-bound code
dc.typeArticle

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