Recent innovations in data warehousing and business analytics dramatically increase the capability and potential value of today’s massive, diverse, and often fast-moving data flows. Companies now perform interactive queries and predictive analytics using all available data, including operational data and the huge amounts of poly-structured data available from logs, social networks, sensors, and many other sources. In this white paper, we define a practical, cost-effective infrastructure for supporting data-driven decision-making on an enterprise scale.
The business potential of big data analysis is enormous across virtually every business sector. The Intel IT organization has implemented use cases delivering hundreds of millions of dollars in business value. This paper discusses a few of those use cases and the technologies and strategies that make them possible. It also defines the architecture we use for big data analysis and provides an in-depth look at one of the most important components—an Apache Hadoop* cluster for storing and managing large volumes of poly-structured data.
The third session of our High Performance Application Development for Intel® Xeon® and Intel® Xeon Phi™ processors class was held during the last week of September, and generated yet another list of questions. We tried answering all we could, though there were some, due to loss of context ("what was that thing with slide 25?") or other issues that made them difficult to answer. Hopefully the answer your waiting for will be among the list below:
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随着 Windows 8* 以及支持触控的计算机的推出（例如英特尔超极本™ 设备，其中触摸是额外的输入方式），用户拥有了与应用和软件交互的新方式。在过去，触摸仅限制在特殊设备中使用，这些设备需要专门的软件，而今天我们看到大量制造商正在制造支持这些新输入方式的设备。
Intel® System Studio is Intel’s suite of software tools for embedded processors and contains features that allow you to profile your target remotely.
The typical workflow of VTune™ Amplifier for Systems is for users to collect their performance data on their target and to display the results using the VTune Amplifier for Systems GUI.
This article provides a recipe for compiling, optimizing and running MPI-HMMER for Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors.
This article will help you determine the scalability of your application. Using this information you can determine the maximum potential speed up of your application based on the number of cores you have available on your system.
Intel C++ Compiler 14.0 which from Intel System Studio 2014 now provides compatible sysroot support as gcc compiler. With the new features supported in the Intel C++ compiler 14.0, we can use the option --sysroot and the option -gnu-prefix to cross compile the applications for embedded linux target.