Intel® Math Kernel Library

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: https://idz.qualtrics.com/SE/?SID=SV_5Bmh232m96WJK3b

 

Some digits differ from serial to distibuted Cholesky

I am using the double precision routine in C for Cholesky. In order to check the result, I am running the serial version too. For smaller inputs, the results are same, but for a matrix 6500x6500, I am getting some digits differently, should I worry?

Here is the last numbers of the results that differ:

 

C interface to BLAS

Hello,

I am running into an inconsistency in the header file mkl.h for BLAS functions being called from C. I finally used the "/E" option from the C compiler to dump the pre-processed source so I could inspect it.

Here are 2 examples of what I find in the header files:

void dgemm(const char *transa, const char *transb, const int *m, const int *n, const int *k,
           const double *alpha, const double *a, const int *lda, const double *b, const int *ldb,
           const double *beta, double *c, const int *ldc);

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