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General installation information

Installation prerequisites, tips, and possible problems for the Intel MPI Library
作者: 最后更新时间: 2017/06/07 - 10:46
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.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/06/23 - 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).
作者: Vipin Kumar E K (Intel) 最后更新时间: 2018/07/11 - 18:00
博客

Why Sunshine and Bug Fixing Go Together

I was having lunch at the recent LinuxCon and Plumbers conference with a colleague, bragging as usual about how much I love my home near Portland, Oregon.

作者: David S. (Blackbelt) 最后更新时间: 2019/07/04 - 17:03
Article

Installing Intel® Distribution for Python* for Windows* in a Non-Default Directory

The Intel Python Windows installer defaults to c:\IntelPython27 & c:\intelpython35, but you can customize the directory. When you see the screen below select customize and next.

作者: Robert C. (Intel) 最后更新时间: 2018/12/12 - 20:06
Article

Intel® Distribution for Python* Known Issues

  Intel Distribution for Python 2019 and 2018

Intel® Parallel Studio 2019.1 Intel Python cannot find libiomp on macOS*

作者: Gergana S. (Blackbelt) 最后更新时间: 2018/11/14 - 08:11
Article

Using Intel® Distribution for Python* with the Xeon Phi™ Coprocessor

The Intel® Distribution for Python* mkl-mic package allows Automatic Offload (AO) of workloads to Intel® Xeon Phi™ Coprocessors.

作者: Gergana S. (Blackbelt) 最后更新时间: 2019/03/21 - 12:40
Article

Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular package managers

Select Package for Download Instructions
作者: Gergana S. (Blackbelt) 最后更新时间: 2019/07/08 - 10:51
Article

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

作者: Ying H. (Intel) 最后更新时间: 2019/07/03 - 15:43
File Wrapper

Visual Serving of Thin & Small Objects Using Learning Methods

作者: 管理 最后更新时间: 2018/09/12 - 11:25