Using the Model in Cuda and Opencl for Medical Signals
Keywords:
graph, basic functions, fast transformations
Abstract
The 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.
References
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2. Rakhimov BS, Rakhimova FB, Sobirova SK. Modeling database management systems in medicine. J Phys Conf Ser. 2021;1889(2):022028. doi:10.1088/1742-6596/1889/2/022028
3. Rakhimov B, Ismoilov O. Management systems for modeling medical database. In: ; 2022:060031. doi:10.1063/5.0089711
4. Rakhimov BS, Khalikova GT, Allaberganov OR, Saidov AB. Overview of graphic processor architectures in data base problems. In: ; 2022:020041. doi:10.1063/5.0092848
5. RB Saidovich, SA Bakhtiyarovich, BB Farkhodovich, KDA Ugli, MMZ Qizi Analysis And Using of the Features Graphics Processors for Medical Problems Texas Journal of Medical Science 7, 105-110
6. P. P. Kudryashov Algorithms for detecting a human face for solving applied problems of image analysis and processing: author. dis. Cand. tech. Sciences: 05.13.01. - M, 2007.
7. Tanenbaum E. Modern operating systems. 2nd ed. - SPb .: Peter, 2002 .-- 1040 p .: ill.
8. Forsyth DA, Pons, J. Computer vision. Modern approach / D.A. Forsyth, J. Pons: Trans. from English - M .: Publishing house "Williams", 2004. - 928 p .: ill. - Parallel. tit. English
9. Frolov V. Solution of systems of linear algebraic equations by the preconditioning method on graphic processor devices
10. Brodtkorb A.R., Dyken C., Hagen T.R., Hjelmervik J.M., Storaasli O.O. State-of-the-art in heterogeneous computing / A.R. Brodtkorb, C. Dyken, T.R. Hagen, J.M. Hjelmervik, O.O. Storaasli // Scientific Programming, T. 18, 2010. - S. 1-33.
Published
2022-10-29
How to Cite
Saidovich, R. B., Akbarovna, A. A., & Bakhtiyarovich, S. A. (2022). Using the Model in Cuda and Opencl for Medical Signals. International Journal on Orange Technologies, 4(10), 84-86. Retrieved from https://journals.researchparks.org/index.php/IJOT/article/view/3597
Section
Articles
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