Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.
Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.
Cache Allocation Technology (CAT) provides benefits across a number of usages, as described in the previous article in this series. This article briefly describes one proof point from the data center (prioritizing a web server to improve its performance) and one from communications (protecting a key communications infrastructure virtual machine (VM)).
This article provides a snapshot of some of the software-enabling collateral available for the Cache Allocation Technology (CAT) feature.
This article provides a number of Memory Bandwidth Monitoring (MBM) example proof points and discussion fitting with the usage models described in previous articles.
Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.