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.
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.
Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building BlocksThreading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
This article details an algorithm and associated sample code for software occlusion culling which is available for download. The technique divides scene objects into occluders and occludees and culls occludees based on a depth comparison with the occluders that are software rasterized to the depth buffer. The sample code uses frustum culling and is optimized with Streaming SIMD Extensions (SSE)...
This is a "matrix multiplication" example that illustrates different features of Intel® System Studio on Microsoft* Visual Studio* IDE, Eclipse* IDE and on Yocto* Target System By Downloading or copying all or any part of the sample source code, you agree to the terms of the Intel® Sample Source Code License Agreement
Intel® Advanced Vector Extensions (Intel® AVX) is a set of instructions for doing SIMD operations on Intel® architecture CPUs. These instructions extend previous SIMD offerings (MMX™ and Intel® SSE). This paper provides an AVX instruction set overview.