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

Overview

Big data is BIG. There’s just more of it. And you need information faster. New Intel® Data Analytics Acceleration Library (Intel® DAAL) speeds data processing for data mining, statistical analysis, and machine learning.

Topics:

  • Intel DAAL algorithms: Regression, Classification, Clustering, Low Order Statistics, Quantiles, PCA, Expectation-Maximization, Outlier Detection, Association Rules, and more
  • Performance advantages
  • The C++ and Java API
  • Usage models for batch processing, online processing, and distributed processing
  • Using Intel DAAL on Apache Spark*

Download Slides [PDF 759KB]

[block]pre-patch-disclaimer[/block]

[block]ftc-disclaimer[/block]

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804