Home
Forms Library
Developing an Intel MKL based application in Microsoft

Developing an Intel MKL based application in Microsoft 2025

Developing an Intel MKL based application in Microsoft Preview on Page 1

Show details

4.3 out of 5

33 votes

The document is a beginner's guide for developing applications using Intel® Math Kernel Library (MKL) in Microsoft Visual Studio. It provides step-by-step instructions on creating C/C++ and Fortran projects, configuring the development environment to link with different versions of Intel MKL, and adding example source files to the projects. The guide covers various Visual Studio versions and includes details on project settings, linking libraries, and optimization notices.

Here's how it works

01. Edit your form online

Type text, add images, blackout confidential details, add comments, highlights and more.

02. Sign it in a few clicks

Draw your signature, type it, upload its image, or use your mobile device as a signature pad.

03. Share your form with others

Send it via email, link, or fax. You can also download it, export it or print it out.

The best way to modify Developing an Intel MKL based application in Microsoft in PDF format online

Ease of Setup

DocHub User Ratings on G2

Ease of Use

DocHub User Ratings on G2

Adjusting documents with our feature-rich and intuitive PDF editor is straightforward. Make the steps below to fill out Developing an Intel MKL based application in Microsoft online easily and quickly:

Sign in to your account. Log in with your email and password or register a free account to test the service prior to upgrading the subscription.
Import a document. Drag and drop the file from your device or import it from other services, like Google Drive, OneDrive, Dropbox, or an external link.
Edit Developing an Intel MKL based application in Microsoft. Easily add and highlight text, insert pictures, checkmarks, and icons, drop new fillable fields, and rearrange or remove pages from your document.
Get the Developing an Intel MKL based application in Microsoft completed. Download your adjusted document, export it to the cloud, print it from the editor, or share it with others via a Shareable link or as an email attachment.

Take advantage of DocHub, the most straightforward editor to promptly handle your documentation online!

be ready to get more

Complete this form in 5 minutes or less

Get form

Got questions?

We have answers to the most popular questions from our customers. If you can't find an answer to your question, please contact us.

What is MKL Python package?

mkl 2025.0. 1 Intel oneAPI Math Kernel Library (Intel oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces.

What is the MKL service package?

mkl-service - Python package for run-time control of Intel(R) Math Kernel Library.

What is MKL Blas?

The Intel Math Kernel Library (MKL) contains highly optimized and extensively threaded routines for engineering and scientific applications. It includes linear algebra routines (BLAS, LAPACK, ScaLAPACK, and sparse solvers), FFTs, a vector math library, vector random number generators, and LINPACK benchmark routines.

What is the full form of MKL?

Intel Math Kernel Library. In subject area: Computer Science. Intel Math Kernel Library (MKL) is a collection of optimized routines and functions designed for Intel and compatible processors, enhancing mathematical computations in various programming languages like Python, C/C++, and Fortran.

What is mkl package in Python?

mkl 2025.1. 0 Intel oneAPI Math Kernel Library (Intel oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces.

Does NumPy need MKL?

NumPy packages accelerated linear algebra libraries NumPy doesnt depend on any other Python packages, however, it does depend on an accelerated linear algebra library - typically Intel MKL or OpenBLAS. Users dont have to worry about installing those (theyre automatically included in all NumPy methods).

Developing an Intel MKL based application in Microsoft 2025

Here's how it works