This paper describes a case study in which AVX instructions are used to enhance the performance of a de-saturation algorithm (a common video filter). The case study takes the algorithm from a non-SIMD state to AVX based SIMD.
How to use the automatic vectorizer of the Intel® C/C++ Compiler to optimize your application using Intel Streaming SIMD Extensions (Intel SSE) or Intel Advanced Vector Extensions (Intel AVX).
Intel® AVX is a 256 bit instruction set extension to Intel® SSE and is designed for floating point intensive applications. This article examines how Intel® AVX micro architecture features benefit Spherical Linear Interpolation (SLERP) opserations.
In my last blog, I introduced the concept of vectorization, which is parallelism across data elements in a register inside a single CPU core. It's a topic that I am very excited about this year, and in this blog I will expand on the subject to address what types of applications can take advantage of vectorization.
Wiener filtering (also known as Least Mean Square filtering) is a technique for removing unwanted noise from an image. This article discusses Wiener filtering, and includes an example of code that has been optimized using Intel® AVX
SONAR* is Cakewalk's technology-leading digital audio workstation and runs natively on Intel® Core™ platforms. SONAR's processing of audio buffers for mixing and DSP as well as various data and bit depth conversions was updated to use Intel® AVX.
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.