Developing an FFT Algorithm for the Elbrus Processor: Direct Vectorization

In this article, the author continues a series of materials focused on optimizing computations for the domestic Elbrus architecture. The primary focus is on methods for direct vectorization of the Fast Fourier Transform (FFT) algorithm when writing code in C. The author examines the specifics of working with the compiler and the processor's hardware capabilities to achieve maximum performance during mathematical operations. This article is a logical continuation of the previous material, which established the foundations for working with this architecture. Readers are encouraged to review the first part for a better understanding of the context and technical implementation details. The material will be useful for developers engaged in low-level software optimization for specialized computing platforms, as well as those interested in the nuances of programming for the Elbrus architecture.