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Article

Introduction to Remote Program Logic under Python*

About this Series

By David Mertz, Ph.D.

Criado por Última atualização em 07/06/2017 - 09:31
Article

Using Intel® MKL in your Python* program

Some instructions and a simple example showing how to call Intel® MKL from Python*,
Criado por TODD R. (Intel) Última atualização em 10/12/2018 - 13:29
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.
Criado por Gennady F. (Blackbelt) Última atualização em 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).
Criado por Vipin Kumar E K (Intel) Última atualização em 11/07/2018 - 18:00
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.

Criado por Última atualização em 06/07/2019 - 10:52
Article

Building Numpy/Scipy with Intel® MKL and Intel® Compilers on Windows

NumPy/SciPy Application Note Step 1 - Overview

Criado por Chen, Yuan (Intel) Última atualização em 11/07/2018 - 18:00
Mensagem de blog

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).
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 19:43
Mensagem de blog

Exposing Processor Features to Dynamic Languages

Intel® for its part invests countless hours and billions of transistors to add features in our silicon products which will speed up people's lives. If only they knew how to take advantage of it! Part of our job in dynamic languages is what I call "putting the cookies on the bottom shelf". Make this advanced technology easily consumable, and show you the value of it so you can be sure to use it.
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 19:43
Mensagem de blog

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,...
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 19:42
Mensagem de blog

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...
Criado por David S. (Blackbelt) Última atualização em 04/07/2019 - 20:00