Demonstrates how a Structure of Arrays organization of data makes it easier to get a performance benefit from SIMD
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 is part of a series of blogs on Embree, a collection of high performance ray tracing kernels. Embree has been released open source since version 1.0.
Improve your vectorization project using techniques and methodologies from Intel.
Tencent* Uses Machine Learning for In-Game Purchase Recommendation System on Intel® Xeon® ProcessorsTo enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
In this paper, we walk through a 3D Animation algorithm example and describe some techniques and methodologies that may benefit your next vectorization endeavors. We also integrate the algorithm with SIMD Data Layout Templates (SDLT), which is a feature of Intel® C++ Compiler, to improve data layout and SIMD efficiency. Includes code sample.
We'll talk about 2017 trends, getting started in automated driving, enabling Alexa* voice service and more for the month of February.
Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.
Announcing new IoT developer kits this month along with tips on which processor is right for your VR projects.