# A Matrix Multiplication Routine that Updates Only the Upper or Lower Triangular Part of the Result Matrix

### Background

Intel® MKL provides the general purpose BLAS*  matrix multiply routines ?GEMM defined as follows:

`C := alpha*op(A)*op(B) + beta*C`

where alpha and beta are scalars, op(A) is an m-by-k matrix, op(B) is a k-by-n matrix, C is an m-by-n matrix, with op(X) being either X, or XT, or XH.

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# Introduction to the Intel MKL Extended Eigensolver

Intel® MKL 11.0 Update 2 introduced a new component called Extended Eigensolver routines. These routines solve standard and generalized Eigenvalue problems for symmetric/Hermitian and symmetric/Hermitian positive definite sparse matrices. Specifically, these routines computes all the Eigenvalues and the corresponding Eigenvectors within a given search interval [λmin, λmax]:

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• # How to Detect and Repair Correctness Issues in Code to Run on the Intel® Xeon Phi™ Coprocessor Architecture with Intel® Inspector XE

## How to Detect and Repair Correctness Issues in Code to Run on the Intel® Xeon Phi™ Coprocessor Architecture with Intel® Inspector XE

Intel® Xeon Phi™ coprocessors combine advanced power performance with the benefits of standard CPU programming models.  Developing and tuning for Intel® Xeon Phi™ coprocessors means you get both great coprocessor performance and improved performance on Intel® Xeon® processors.

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# Optimize Financial Applications using Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications. Intel MKL uses Industry Standard interfaces and can be easily integrated into your current application framework. The Webinar provides an overview of Intel MKL to accelerate financial applications. Topics include:

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• # Webinar: Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessors

Intel recently unveiled the new Intel® Xeon Phi™ product – a coprocessor based on the Intel® Many Integrated Core architecture. Intel® Math Kernel Library (Intel® MKL) 11.0 introduces high-performance and comprehensive math functionality support for the Intel® Xeon Phi™ coprocessor. You can download the audio recording of the webinar and the presentation slides from the links below.

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• # Performance Tips of Using Intel® MKL on Intel® Xeon Phi™ Coprocessor

This page documents specific tips and the best known methods of using the Intel® Math Kernel Library on the Intel® Xeon Phi™ coprocessor. For general performance improvement recommendations of using Intel® Math Kernel Library, please see the related topics in the Intel® Math Kernel Library User's Guide.

Related documentation: Using Intel® Math Kernel Library on the Intel® Xeon Phi™ Coprocessors.

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• # Creating and Managing Suppressions in Intel® Inspector XE 2013

Background

Intel® Inspector XE has always provided suppression functionality, but with the introduction of the Inspector XE 2013 product, there are more powerful ways to control how your suppressions are matched to found issues and how your suppressions are stored and maintained.

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• # Intel® Math Kernel Library (Intel® MKL) on Intel® Many Integrated Core Architecture (Intel® MIC Architecture)

Starting with Intel® MKL 11.0, support for Intel® Many Integrated Core Architecture (Intel® MIC Architecture) - the Intel® Xeon Phi™ coprocessor has been available. Intel® MKL provides specifically optimized functions for users to take advantages of this new architecture. This page is a collection of online resources on using Intel® MKL on the Intel® Xeon Phi™ coprocessors.

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