The Parallel Universe
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Issue 26

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Learn about code modernization techniques for the latest Intel® Xeon Phi™ processor, coding for analytics and machine learning, profiling with Java* and Python*, and much more.


Modernize Your Code for Intel Xeon
Phi Processors

Explore new Intel® Parallel Studio XE
2017 capabilities


Unleash the Power of Big Data Analytics and Machine Learning

Solve big data era application challenges with Intel® Performance Libraries

Overcome Python Performance Barriers for Machine Learning

Accelerate and optimize Python machine learning applications

Profile Java and Python Code using Intel® VTune™ Amplifier

Get more CPU capability for Java- and Python-based applications

Lightning-Fast R* Machine Learning Algorithms

Get results with the Intel® Data Analytics Acceleration Library and the latest Intel Xeon Phi processor

A Performance Library for Data Analytics and Machine Learning

See how the Intel Data Analytics Acceleration Library impacts C++ coding for handwritten digit recognition

MeritData Speeds Up Its Tempo* Big Data Platform with High-Performance Intel® Libraries

Case study finds performance improvements and potential for big data algorithms and visualization

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For more complete information about compiler optimizations, see our Optimization Notice.

Copyright © 2016 Intel Corporation. All rights reserved. Intel, the Intel logo, VTune, and Intel Xeon Phi are trademarks of Intel Corporation in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

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