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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.
Autor Gennady F. (Blackbelt) Última actualización 23/06/2019 - 18:50
Article

Numpy/Scipy with Intel® MKL and Intel® Compilers

This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).
Autor Vipin Kumar E K (Intel) Última actualización 11/07/2018 - 18:00
Article

Intel® Platform Analysis Library Metrics Framework Release Notes

Click "Download Now" below to obtain and view Intel® Platform Analysis Library Metrics Framework release notes.

Autor Última actualización 23/06/2019 - 18:50
Article

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.

Autor Última actualización 06/07/2019 - 10:52
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Dynamic Languages Take Over the Internet

The server world has really embraced Python in a big way. For example, the OpenStack project is a very popular Infrastructure as a Service offering, and most of it is written in Python. This makes Python a leader for Software Defined Infrastructure (SDI), Software Defined Storage (SDS) and Software Defined Networking (SDN).
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:43
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The 0-Day Challenge: What is the Pulse of the Internet?

The core components of the Internet get updated constantly. Every time the source changes, the health and performance can change. A single source code change can fail to build, can break compatibility with existing code and can change the performance anywhere from a fraction of a percent up to 10% or more on major customer workloads. We're trying to read the pulse of our core components (Python,...
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:42
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Making the Dead Rise, and Other Impossible Tasks

My current job is to lead our company's work on dynamic server languages, such as performance optimization and feature enabling. Besides PHP and HHVM, we want to improve Python. There is a huge amount of Python code in use out there, for example running OpenStack, Swift, DropBox and many others. What I didn't realize when I took the job was that much of this use is in a "dead" language.
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:41
Mensajes en el blog

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Autor Robert C. (Intel) Última actualización 31/12/2018 - 16:12
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Autor admin Última actualización 21/03/2019 - 12:00