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Article

Introduction to Remote Program Logic under Python*

About this Series

By David Mertz, Ph.D.

作者: 最后更新时间: 2017/06/07 - 09:31
Article

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

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. also introduce how to enable Sparse Linear operation include Sparse BLAS and Intel® MKL PARDISO and Cluster PARDISO as direct solver in PETSc applications.
作者: Ying H. (Intel) 最后更新时间: 2019/03/27 - 13:20
Article

Using Intel® MKL in your Python* program

Some instructions and a simple example showing how to call Intel® MKL from Python*,
作者: TODD R. (Intel) 最后更新时间: 2018/12/10 - 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.
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
Article

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

Intel® System Studio 2013

作者: robert-mueller-albrecht (Blackbelt) 最后更新时间: 2017/12/11 - 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.

作者: 最后更新时间: 2019/06/23 - 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

作者: 最后更新时间: 2019/06/23 - 18:50
Article

An Overview of the Storage Plugin for Intel® Enterprise Edition for Lustre* Software

In today’s data centers, big data has placed a greater demand for performance at large scale for storage systems.

作者: Thai Le (Intel) 最后更新时间: 2017/06/07 - 10:45