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

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dc.contributor.author Qun, Ng Hui
dc.contributor.author Khalib, Z.I.A
dc.contributor.author Warip, M. N.
dc.contributor.author Elobaid, M. Elshaikh
dc.contributor.author Rahman, Mostafijur
dc.contributor.author Zahri, N.A.H.
dc.contributor.author Saad, Puteh
dc.date.accessioned 2018-09-24T06:48:40Z
dc.date.accessioned 2019-05-27T09:59:30Z
dc.date.available 2018-09-24T06:48:40Z
dc.date.available 2019-05-27T09:59:30Z
dc.date.issued 2017-01-05
dc.identifier.uri http://hdl.handle.net/20.500.11948/3301
dc.description.abstract Hyper-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 i5-2410M@2.30GHz. Full Text Link: http://doi.org/10.1109/ICED.2016.7804711 en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.subject Algorithm design and analysis en_US
dc.subject Instruction sets en_US
dc.subject Parallel processing en_US
dc.subject Multicore processing en_US
dc.subject Heuristic algorithms en_US
dc.subject Scalability en_US
dc.subject Parallel programming en_US
dc.title Hyper-threading technology: Not a good choice for speeding up CPU-bound code en_US
dc.type Article en_US


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