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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.

Authored by gaston-hillar (Blackbelt) Last updated on 07/06/2019 - 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®...
Authored by Vipin Kumar E K (Intel) Last updated on 10/08/2018 - 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...
Authored by Zhang, Zhang (Intel) Last updated on 10/03/2018 - 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...
Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 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...
Authored by Ying H. (Intel) Last updated on 10/04/2018 - 04:16
Blog post

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*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 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

 

Authored by JON J K. (Intel) Last updated on 07/03/2019 - 10:17
Video

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.

Authored by Zhang, Zhang (Intel) Last updated on 06/10/2019 - 09:40
Event

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.
Authored by admin Last updated on 01/24/2019 - 15:40
Blog post

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Authored by Anton Malakhov (Intel) Last updated on 10/05/2018 - 18:24