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MariaDB* Performance with Intel® Xeon® Processor E5 v4 Family

MariaDB* increases database throughout by 51% and cuts response times by 15%

Authored by Mike P. (Intel) Last updated on 03/29/2017 - 10:46
Article

Power Metrics for Data Centers

Power Metrics for Data Centers
Authored by Lauri Minas (Intel) Last updated on 03/28/2017 - 15:58
Article

Intel and Qihoo 360 Internet Portal Datacenter - Big Data Storage Optimization Case Study

The adoption of cloud computing creates many challenges and opportunities in big data management and storage.

Authored by David Mulnix (Intel) Last updated on 03/28/2017 - 15:58
Article

Demo: Software Defined Visualization Using Intel® Xeon Phi™ Processor

In this demo we are showcasing the use of Intel® Xeon Phi™ processor, to do a 3D visualization of tumor in a human brain.

Authored by Beenish Z. (Intel) Last updated on 03/27/2017 - 13:26
Article

How to Install DevStack* in Linux*

This article shows step-by-step how to install DevStack in CentOS* 7 for those who are new to OpenStack.
Authored by Nguyen, Khang T Last updated on 03/27/2017 - 08:25
Article

Intel® Software Development Emulator Download

Intel® Software Development Emulator (released Jan 23, 2017)

Authored by Ady Tal (Intel) Last updated on 03/23/2017 - 07:01
Article

Getting Started with Intel® MPI Benchmarks 2017

Intel® MPI Benchmarks 2017
Authored by Gergana S. (Intel) Last updated on 03/20/2017 - 11:44
Article

Intel® Xeon® Phi™ Processor Performance Monitoring Reference Manual

The Intel® Xeon® Phi™ Processor (code name Knights Landing) provides performance monitoring facilities that are a unique combination of Intel® Atom™ processor-like core performance monitoring units (PMU) and Intel® Xeon® processor based server class uncore capabilities.
Authored by Harini R. Last updated on 03/20/2017 - 11:08
Article

如何在 Linux* 中安装英特尔® 数据分析加速库(英特尔® DAAL)的 Python* 版本

英特尔® 数据分析加速库(英特尔® DAAL) 1, 2 是一款用于数据分析的软件解决方案。它提供用于数据预处理、转换、建模和预测等任务的构建模块。
Authored by Nguyen, Khang T Last updated on 03/20/2017 - 03:41
Article

借助英特尔® 数据分析加速库,提升主组件分析的性能

本文探讨了一种非监督式机器学习算法,即主组件分析 (PCA),它可用于简化数据。本文还介绍了英特尔® 数据分析加速库(英特尔® DAAL)可如何帮助优化该算法,使其以更高性能在搭载英特尔® 至强® 处理器的系统上运行。
Authored by Nguyen, Khang T Last updated on 03/16/2017 - 23:54
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