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Article

Developer Success Stories Library

Case studies and success stories
作者: 管理 最后更新时间: 2019/08/05 - 07:21
博客

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

作者: gaston-hillar (Blackbelt) 最后更新时间: 2019/07/06 - 17:00
Article

What is Intel® DAAL?

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® Architecture optimized building blocks covering all data analytics stages: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. To achieve best performance on a range of Intel® processors, Intel DAAL uses optimized algorithms from the Intel®...
作者: Vipin Kumar E K (Intel) 最后更新时间: 2018/10/08 - 06:30
Article

How to Use Intel® DAAL in Java Applications

Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a Java API and the ease-of-use for Java programmers. This article discusses how to build and run applications with the Eclipse IDE (one of the most popular Java IDEs). The procedures outlined in this article should also be applicable to other Java IDEs. If you want to build and run Java applications from the command line, see...
作者: Zhang, Zhang (Intel) 最后更新时间: 2018/10/03 - 07:24
Article

A Walk-Through of Online Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is...
作者: Zhang, Zhang (Intel) 最后更新时间: 2017/06/07 - 10:33
Article

A Walk-Through of Distributed Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support...
作者: Ying H. (Intel) 最后更新时间: 2018/10/04 - 04:16
博客

Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
作者: James R. (Blackbelt) 最后更新时间: 2018/12/12 - 18:00
Article

Tutorial for Intel® DAAL: Using Simple C++ Examples

System Environment

Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)

OS : Windows* 8.1

IDE : Visual Studio 2013

 

作者: JON J K. (Intel) 最后更新时间: 2019/07/03 - 10:17
视频

Faster Big Data Analytics Using New Intel® Data Analytics Acceleration Library

Big data is BIG. There’s just more of it. And you need information faster.

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/06/10 - 09:40
事件

Building Faster Data Applications on Spark* Clusters

Apache Spark* is big for big data processing apps. Intel® Data Analytics Acceleration Library (Intel® DAAL) can help optimize performance. Learn how.
作者: 管理 最后更新时间: 2019/01/24 - 15:40