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.
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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
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
Hi, I am trying to solve several big 3d solid FE models with PARDISO 11.2
Although the out-of-core run is successful I am consistently getting segmentation fault errors for the in core runs.
This also happens with pardiso_64 and cpardiso when only 1 mpi process is used
With more than 1 mpi processes the run is successful.
The error is reproducible and occurs for almost all big models which I have tried.
I want to use the mkl_?csrmultd to do 2 matrix product and the output is a dense matrix.
But i am confused when i read the manual, The ldc (leading dimension of dense matrix C) is a output parameters( not a input parameter as usual ?), and the length of ib is m+1. The definition of ia is also very different with other sparse matrix routines, because the length is not m+1.
Is there any problem about this part?
Any help and comment will be appreciated.
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