Biblioteca kernel de matemática Intel®

Intel® Math Kernel Library (Intel® MKL) 11.3 Beta and Intel® Parallel Studio XE 2016 Beta

Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that require maximum performance. Intel(R) Math Kernel Library ( Intel(R) MKL ) version 11.3 Beta is now available, as part of the Intel® Parallel Studio XE 2016 Beta program. 

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

Intel® MKL Cookbook Recipes

Intel MKL Users,

We would like to Introduce a new feature Intel® MKL Cookbook, an online Document with recipes for assembling Intel MKL routines for solving complex problems.Please give us your valuable feedback on these Cookbook recipes, and let us know if you want us to include more recipes and/or improve existing recipes.

Thank you for Evaluating

Intel MKL Team

Forum poll: Intel MKL and threading

Intel MKL users,

We would like to hear from you how you are using Intel MKL with threading. Do you use the parallel or sequential MKL? How do your multithreaded applications use MKL? We would appreciate you to complete a short survey. It takes no more than 5 minutes. Your feedback will help us to make Intel MKL a better product. Thanks!

Survey link:


use gfortran to link mkl libraries

I am writing to ask help for linking mkl with a fortran code on a Surface Pro with win 8.1 OS. I am using gfortran 4.9.2 (TDM-GCC-65). The Fortran code is paralleled using OpenMP.

I am using the following command:

gfortran -fopenmp -o mycode *.o mkl_rt.lib libiomp5md.lib

It links ok. But during execution, the executable crashes and reports Program received signal SIGSEGV: Segmentation fault - invalid memory reference.

I also tried the following

gfortran -fopenmp -o mycode *.o mkl_rt.lib libiomp5md.lib

I got the following linking error:

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