Any parent knows the simple rule: "Never help a child with a task he can succeed at himself. Otherwise you don't make any good for the kid, for you and for the whole planet".
Tips and techniques on using the Intel® Compilers to maximize your application performance.
Download page for the latest Intel® Software Development Emulator
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
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.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
The Intel® SDK for OpenCL* Applications features an implicit vectorization module which boosts application performance. The implicit vectorization module uses state-of-the-art vectorization algorithms based on up-to-date compiler research
A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
Intel Vectorization Toolkit: 3. Vectorization report for loop candidates