Author:
Strabykin Dmitry,Meltsov Vasily,Krutikov Alexander
Abstract
The paper considers an accelerated algorithm for distributing numbers over given ranges. The proposed algorithm allows you to quickly distribute integers over predetermined ranges with deterministic boundaries and calculate the number of elements in each of the ranges. If the number of ranges lies in the range from 64 to 256, then the time for solving the problem will be reduced by 9–33 times. The algorithm can be implemented in both software and hardware.
Reference17 articles.
1. Kung S. Y., Kernel Methods and Machine Learning (Cambridge University Press, 2014)
2. Seidl T., Keynote: Data Mining on Process Data, in Proceedings of the 2nd International Conference on Process Mining, ICPM, Padua, Italy (2022)
3. Dol S. M., Jawandhiya P. M., Use of Data mining Tools in Educational Data Mining, in Proceedings of the Fifth International Conference on Computational Intelligence and Communication Technologies, CCICT, Sonepat, India (2022)
4. Krutikov A. K., Meltsov V. Y., Lapitsky A. A., Rostovtsev V. S.. FPGA-implementation of a prediction module based on a generalized regression neural network, in Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus, S-Petersburg, Russia (2020)
5. Fallon K. K., Early computer graphics developments in the architecture, engineering and construction industry, in Proceedings of the IEEE Annals of the History of Computing, Vienna, Austria (2018)