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Article

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.
Автор: Gennady F. (Blackbelt) Последнее обновление: 23.06.2019 - 18:50
Блоги

TouchDesigner / Interview with Jarrett Smith and Ben Voigt

Автор: Audri Phillips Последнее обновление: 03.07.2019 - 20:08
Article

What's New? - Intel® System Studio 2013 Update 2

Intel® System Studio 2013

Автор: robert-mueller-albrecht (Blackbelt) Последнее обновление: 11.12.2017 - 10:48
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.

Автор: Последнее обновление: 23.06.2019 - 18:50
Article

Intel® Platform Analysis Library Metrics Framework User Guide

Click "Download" below to obtain and view Intel® Platform Analysis Library Metrics Framework User Guide

Автор: Последнее обновление: 23.06.2019 - 18:50
Article

Quick Linking Intel® MKL BLAS, LAPACK to R

Overview

Автор: Ying H. (Intel) Последнее обновление: 07.06.2017 - 10:24
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.

Автор: Последнее обновление: 06.07.2019 - 10:52
Article

DrDebug : Linux* Command Line Usage

Using DrDebug requires following two phases 1. recording and 2. replaying.

Автор: Harish Patil (Intel) Последнее обновление: 12.02.2019 - 10:56
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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).
Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 19:43
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Core Challenge In Speeding Up Python, PHP, HHVM, Node.js...

A traditional compiler translates a high-level computer program into machine code for the CPU you want to run it on. An interpreted language translates a high-level language into the machine code for some imaginary CPU. For historical reasons, this imaginary CPU is called a "virtual machine" and its instructions are called "byte code." One advantage of this approach is development speed: creating...
Автор: David S. (Blackbelt) Последнее обновление: 04.07.2019 - 20:00