Tips and techniques on using the Intel® Compilers to maximize your application performance.
Demonstrates how a Structure of Arrays organization of data makes it easier to get a performance benefit from SIMD
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.
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.