Using the Model in Cuda and Opencl for Medical Signals

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dc.creatorSaidovich, Rakhimov Bakhtiyar
dc.creatorAkbarovna, Allayarova Asal
dc.creatorBakhtiyarovich, Saidov Atabek
dc.date2022-10-29
dc.date.accessioned2023-08-21T08:01:38Z
dc.date.available2023-08-21T08:01:38Z
dc.descriptionThe smallest computational unit in CUDA is a thread that runs on a scalar processor. This thread must be associated with one processor in the AGM. Further, the set of threads is combined into a computing unit, which is executed independently of other blocks on its multiprocessor. Ah, because AGM was developed on the basis of real graphic multiprocessors, then this computing unit must be associated with AGM. When developing a parallel computing kernel in CUDA, the processing of a single block is taken into account, because from one block it is not possible to change the calculation data from another.en-US
dc.formatapplication/pdf
dc.identifierhttps://journals.researchparks.org/index.php/IJOT/article/view/3597
dc.identifier.urihttp://dspace.umsida.ac.id/handle/123456789/16501
dc.languageeng
dc.publisherResearch Parks Publishing LLCen-US
dc.relationhttps://journals.researchparks.org/index.php/IJOT/article/view/3597/3435
dc.sourceInternational Journal on Orange Technologies; Vol. 4 No. 10 (2022): IJOT; 84-86en-US
dc.source2615-8140
dc.source2615-7071
dc.source10.31149/ijot.v4i10
dc.subjectgraphen-US
dc.subjectbasic functionsen-US
dc.subjectfast transformationsen-US
dc.titleUsing the Model in Cuda and Opencl for Medical Signalsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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