We are pleased to announce the release of Intel® Media Server Studio 2017 R2! This release provides:
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
High performance computing (HPC) cluster programming model number 1 has been MPI for the past 10 or more years.
Developers of modern high performance computing (HPC) applications face a challenge when scaling out their hybrid (MPI/OpenMP*) applications.
Upon completion of this webinar, you will be familiar with parallel programming models and their optimized use on clusters of Intel® Xeon and Intel® Xeon Phi™ coprocessor.
High performance computing (HPC) codes have used MPI and similar models to scale to multiple nodes, but increasingly parallelism is also required within a node, and even within a single core.
Upon completion of this webinar, you will be familiar with how a given physical process be simulated on a computer efficiently.