How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
This white paper proposes an implementation for the Infinite Impulse Response (IIR) Gaussian blur filter using Intel® Advanced Vector Extensions (Intel® AVX) instructions. For a 2048x2048 image size, the AVX implementation is ~2X faster than the SSE code.
This article shows how to use 256-bit Intel® Advanced Vector Extensions (Intel® AVX) to normalize an array of 3D vectors. We describe a shuffle approach to convert between AOS & SOA on-the-fly in order to make data ready for up to 8-wide SIMD processing.
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
Examples of vectorizing Fortran applications
Vectorization Essentials: Vectorizing the outer loop can be profitable
Vectorization Essentials: Efficient vectorization involves making full use of the vector-hardware in the kernel-vector loop.
Random number function auto-vectorization supported