OpenMP provides a powerful, portable, and simple means of threading applications. In some cases, however, developers should choose the flexibility of native threading APIs. The guidelines in this article help to identify whether OpenMP is an appropriate choice for a given situation.
An article addressing thread and task parallelism. This article can be used to optimize framework methodology. Written by Andrew Binstock--Principal Analyst at Pacific Data Works LLC and lead author of "Practical Algorithms for Programmers."
IPP image processing and color conversion FAQ
IPP demain dependencies.
Calling Intel IPP in Microsoft Visual Studio ( In this article, we used VS 2013 )
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Intel® Software Tools give SAS* 9.2 a 2.68x performance boost on Intel® Xeon® processor 5500 series-based serversBusiness analytics have become a fundamental asset for leading enterprises, turning mountains of data from diverse sources into actionable information that drives sound business decisions.
With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
A step-by-step introduction to application performance tuning using the Intel® Compilers version 13 for IA-32 and Intel® 64 processors that are included with Intel® Parallel Studio XE 2013