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Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Authored by Gennady F. (Blackbelt) Last updated on 06/23/2019 - 18:50
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Analyzing Intel® SDE's TSX-related log data for capacity aborts

Starting with version 7.12.0, Intel® SDE has Intel® TSX-related instruction and memory access logging features which can be useful for debugging Intel® TSX's capacity aborts.

Authored by Last updated on 07/06/2019 - 10:52
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Chain of Things Solar Case Study: Blockchain+IoT Security

With partners ElectriCChain, SolarCoin, Solcrypto, Bitseed, IOTA, and RWE, the first Chain of Things Case Study Event focused on the secure logging of solar energy production data to a distributed blockchain ledger. Through multiple case studies, Chain of Things will develop a clearer picture of what an optimal IoT+blockchain stack should include and will determine if blockchain technology...
Authored by Last updated on 07/10/2018 - 08:00
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OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

Authored by Mike P. (Intel) Last updated on 06/07/2017 - 12:14
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Intel® Distribution for Python 2017 Update 2 accelerates five key areas for impressive performance gains

Intel Corporation is pleased to announce the release of Intel® Distribution for Python* 2017 Update 2, which offers both performance improvements and new features. 

Authored by Sergey Maidanov (Intel) Last updated on 05/25/2018 - 11:00
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How to Get Intel® Math Kernel Library, Intel® Integrated Performance Primitives, or Intel® Data Analytics Acceleration Library

This page provides links to the current ways to get the Intel® Performance Libraries: Intel® Math Kernel Library (Intel® MKL), Intel® Integrated Performance Primitives (Intel® IPP), or Intel® Data

Authored by Ying H. (Intel) Last updated on 07/03/2019 - 15:43
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The Inside Scoop on How We Accelerated NumPy Umath Functions

NumPy UMath Optimizations

Authored by Andres G. (Intel) Last updated on 05/30/2018 - 07:08
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Intel® Distribution for Python: pyDAAL module

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Authored by Sergey Maidanov (Intel) Last updated on 10/18/2018 - 15:53
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Open Source Project: Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel has created a data analytics acceleration project on github, to help accelerate data analytic

Authored by James R. (Blackbelt) Last updated on 08/27/2019 - 13:50
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How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL)

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
Authored by Gennady F. (Blackbelt) Last updated on 08/27/2019 - 14:30