Architecture Processors in Data Base Medical Problems

Main Article Content

Rakhimov Bakhtiyar Saidovich
Shamuratova Inabat Ismailovna
Saidov Atabek Bakhtiyarovich
Ibodullaeva Zarnigor Ollayor Qizi


Computer vision as a scientific discipline refers to the theories and technologies for creating medical database systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical areas like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific information from the processed image. This information may include searching for objects, feature points, segments, etc. All scalar processors operate in SIMD mode, while executing a block of threads in the G80, the number of threads in a block is 32, called a warp. At the same time, in 4 clock cycles of the multiprocessor, all beam streams are processed at once when performing operations with floating point, with double precision - in 32 clock cycles, and transcendental functions - in 16 clock cycles.

Article Details

How to Cite
Saidovich, R. B., Ismailovna, S. I., Bakhtiyarovich, S. A., & Qizi, I. Z. O. (2022). Architecture Processors in Data Base Medical Problems. International Journal on Orange Technologies, 4(10), 87-90. Retrieved from


1. Rakhimov BS, Mekhmanov MS, Bekchanov BG. Parallel algorithms for the creation of medical database. J Phys Conf Ser. 2021;1889(2):022090. doi:10.1088/1742-6596/1889/2/022090
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. 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.
6. Tanenbaum E. Modern operating systems. 2nd ed. - SPb .: Peter, 2002 .-- 1040 p .: ill.
7. 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
8. Frolov V. Solution of systems of linear algebraic equations by the preconditioning method on graphic processor devices
9. 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.
10. Zaynidinov H., Mallayev O., Kuchkarov M. Parallel algorithm for modeling temperature fields using the splines method 2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings, 2021, 9422645

Most read articles by the same author(s)