Here are some helpful links:
Important Knowledge Base Articles for Intel® Inspector XE 2013
Learning Lab
Calculating estimated call counts with Intel® VTune™ Amplifier XE 2013
When you profile your software with VTune™ Amplifier XE you often start from looking at the top function hotspots list. This allows you to see what functions are spending CPU resources, so you can focus your optimization efforts.
Function call counts can provide some additional information to assist in further optimization.
An Introduction to Cilk™ Plus Reducers
If you are new to Cilk™ Plus, you have probably been impressed by how easy it is to turn a serial program into a parallel program. You’ve also realized, though, that adding cilk_sync or cilk_for to a program doesn’t automatically solve the harder parts of parallel programming: dealing with data races, and coordinating work that is done in parallel.
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.
Contrato de licença:
Cilk Plus Solver for a Chess Puzzle or: How I Learned to Love Fast Rejection
Intel® Cilk™ Plus enabled parallelizing a chess puzzle solver with a few changes.
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]:
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.
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:
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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