Vectorization of Flat Loops of Arbitrary Structure Using Instructions AVX-512

Abstract

Widespread application of supercomputer technologies in various spheres of life, as well as the need of high-performance calculations allows us to speak about the relevance of the problem of increasing the performance of computer codes on supercomputers of modern architectures. Vectorization of program code is a low-level optimization that can, with a relatively local and compact application, increase the productivity of computational codes by several times. Modern Intel microprocessors have support for a unique set of instructions AVX-512, which, due to its features, allows you to vectorize almost any kind of code written in a predicate form. A set of simple restrictions when developing programs along with vectorization tools to enable the use of the AVX-512 instruction set can significantly speed up the resulting program. The article discusses approaches to vectorization of flat loops—a special-purpose program context, the successful vectorization of which allows to increase the productivity of supercomputer applications even for such program code for which optimizing compilers are powerless.