More Information about using Intel® IPP in Java* applications
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector ExtensionsThis article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.
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.
In this article we will discuss how to use the Intel® Integrated Performance Primitives (Intel® IPP) library to convert some common type of color formats like RGB, RGBA, BGR and BGRA into those that can be recognized by the Intel® Media SDK.
This article helps developers ensure their C/C++ code with intrinsics produces the optimal assembly and shows how to spot unnecessary register spilling.
The introduction of the 2nd generation Intel® Core™ processor includes Intel® Advanced Vector Extension (Intel® AVX). Intel AVX is a new 256-bit instruction set extension to Intel® SSE. This article describes a simple methodology to utilize Intel AVX.