Analysis and Forecasting of Microprocessor Performance Dynamics

The purpose of this paper is to predict the dynamics of microprocessor characteristics. This paper investigates models and algorithms for processing microprocessor performance data through the apparatus of almost periodic functions. The fluctuations and trend components of the corresponding time series are analyzed. A short-term forecast of the dynamics of the development of processor technology is constructed. Preliminary trend exclusion on the basis of the theory of proportions is performed for further analysis of time series fluctuations. The values of almost-periods are determined using the shift function. On the basis of the obtained almost-period value, a development cell is constructed. The relevance of this development lies in the fact that the speed performance of a computer depends, first of all, on the CPU installed in it. An infinite increase in speed is hardly possible, due to physical limitations. Limitations are presented both on linear sizes of assembly interfaces and on physical sizes of elements participating in functioning, as well as consequences of phenomena connected with the effects of demolition of quantum laws in the standard physical world. #CSOC1120.