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.
Ticker Tape 是一种技术演示，旨在鼓励开发人员在粒子系统中执行更为复杂的操作。参与该演示的开发人员会运用大量技术，来提高包括多线程和针对英特尔® SIMD 流指令扩展（SSE）的优化等在内的性能
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.
This white paper describes a code sample that uses Intel® AVX for computing mesh-based cloth simulation. A structure of arrays (SOA) implementation is used to maximize data parallelism enabling usage of 256-bit (8 float) SIMD processing. Code is provided.
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.
Photo-realistic rendering requires accurate simulation of light propagation according to physics laws. The best known way to solve this problem is Monte Carlo ray tracing. We describe a state-of-the-art photo-realistic Monte Carlo rendering engine.