IDF'15 Webcast: Data Analytics and Machine Learning

By Michael A Pearce, Published: 10/29/2015, Last Updated: 10/29/2015

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms.

Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation

Topics include:

  • How to use Intel® Architecture (IA) tools for achieving high performance for core machine learning methods such as, clustering, correlation, regression, etc.
  • Both single-node, as well as multi-node distributed platform optimizations
  • Updates on hardware technologies and software tools innovation
  • Developer tools: Intel® Analytics Toolkit for Apache Hadoop* software, Intel® Data Analytics Acceleration Library (Intel® DAAL), Intel® Math Kernel Library (Intel® MKL)

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Product and Performance Information


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.

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