Vectorization is one of many optimizations that are enabled by default in the latest Intel compilers. In order to be vectorized, loops must obey certain conditions, listed below. Some additional ways to help the compiler to vectorize loops are described.
A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
Get tips for common vectorization functions, such as handling user-defined function calls inside vector loops.
This article is to introduce two new OpenMP 4.0 features supported by Intel® Compiler 16.0. They are User-defined reductions for POD types in C/C++ program and array reductions in Fortran program.
This article looks at several books that introduce developers to the topics of Message Passing Interface (MPI), parallel programming, and OpenMP*.
Intel® Xeon® and Intel® Xeon Phi™ processor based platforms provide multiple levels of parallel execution resources. The amount of compute power of these resources is growing with every product generation, yet most applications do not fully utilize the available computing resources. This session will provide details on the growth in hardware resources and characterize performance using different...