Article

Parallel Direct Sparse Solver for Clusters

Product Overview

Authored by Alexander Kalinkin (Intel) Last updated on 06/07/2017 - 10:22
Video

Intel® MKL 11.2 Beta Webinar - Introducing New features

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

Authored by Sridevi (Intel) Last updated on 06/14/2017 - 08:52
Article

Find Solution to Input Error in PARDISO*

This article tries to address a kind of common error like *** Error in PARDISO when call PARDISO* and provide common check points guide to solve the problem.
Authored by Ying H. (Intel) Last updated on 06/01/2017 - 11:22
Article

Using Intel MKL and Intel TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

Authored by Gennady F. (Intel) Last updated on 06/01/2017 - 11:36
Article

Intel® MKL Sparse Solvers Training Material

This article contains a training materials (in PDF format) on Intel® MKL Sparse Solvers which includes details of PARDISO/DSS, Iterative Solvers features and performance.
Authored by Vipin Kumar E K (Intel) Last updated on 07/21/2017 - 08:34
Article

PARDISO Parameter Tables

The parallel direct sparse solver in Intel® MKL called PARDISO has many parameters that must be understood and properly set to get the expected results. These tables may help by putting some of the required information in a more readable format.
Authored by Konstantin Arturov (Intel) Last updated on 06/07/2017 - 10:19
Article

0-based array indexing in PARDISO

Intel MKL version 10.3 introduces a C-style indexing of arrays for PARDISO
Authored by TODD R. (Intel) Last updated on 06/14/2017 - 13:13
Article

Summary of API differences between Intel® MKL PARDISO and University of Basel PARDISO* 4.0.0

Introduction

Authored by Last updated on 06/07/2017 - 10:26
Article

Description of PARDISO errors and messages

The Articles provides the detailed description of errors and messages returned by Pardiso.
Authored by Sergey Pudov (Intel) Last updated on 06/14/2017 - 13:02
Article

Summary of the API differences between University of Basel (UB) PARDISO* and Intel® MKL PARDISO

The release of PARDISO* 4.0 from the University of Basel (UB) is not backward compatible with PARDISO from the Intel® MKL 10.3 and earlier and thus introduces some incompatibilities with the implementation of PARDISO that is available with the Intel® MKL
Authored by Last updated on 06/14/2017 - 13:15
For more complete information about compiler optimizations, see our Optimization Notice.