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Introduction to Remote Program Logic under Python*

About this Series

By David Mertz, Ph.D.

Authored by David Mertz Last updated on 06/07/2017 - 09:31
Article

General installation information

Installation prerequisites, tips, and possible problems for the Intel MPI Library
Authored by Last updated on 06/07/2017 - 10:46
Article

Using Intel MKL BLAS and LAPACK with PETSc

This document contains instructions for linking to Intel MKL BLAS and LAPACK functions when building the PETSc libraries.
Authored by Chao Y (Intel) Last updated on 06/07/2017 - 12:27
Article

Using Intel® MKL in your Python program

Some instructions and a simple example showing how to call Intel MKL from Python
Authored by TODD R. (Intel) Last updated on 06/07/2017 - 10:20
Blog post

Integrating Python and Threading Building Blocks, Part 3

Continuing my effort to create an application that has a Python GUI and a back-end C++ computation engine that is threaded using Thre

Authored by Last updated on 06/14/2017 - 15:59
Blog post

Integrating Python and Threading Building Blocks, Part 2

In my last post, I installed the Boost C++ libraries onto my Windows machine, and verified that the installation was successful.

Authored by Last updated on 06/14/2017 - 15:40
Blog post

Integrating Python and Threading Building Blocks, Part 1

Several months ago, I began working on integrating Threading Building Blocks with scripting languages, such as Perl and Python.

Authored by Last updated on 06/14/2017 - 15:57
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.
Authored by Gennady F. (Intel) Last updated on 06/01/2017 - 11:22
Article

SC10 - Parallel Programming Community Activities

Parallel Programming Community Manager Kathy Farrel and Master of the Parallel Universe Clay Breshears attended Supercomputing (SC) 10 in November, 2010. This page contains links to videos filmed there. These links appeared previously on the PP Community.
Authored by Kathy F. (Intel) Last updated on 06/07/2017 - 10:36
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).
Authored by Vipin Kumar E K (Intel) Last updated on 06/01/2017 - 11:16
For more complete information about compiler optimizations, see our Optimization Notice.