IPP image processing and color conversion FAQ
This page contains common questions and answers on multi-threading in the Intel IPP.
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® MPI Benchmarks
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.
When confronted with nested loops, the granularity of the computations that are assigned to threads will directly affect performance. Loop transformations such as splitting and merging nested loops can make parallelization easier and more productive.
One key to attaining good parallel performance is choosing the right granularity for the application. Granularity is the amount of real work in the parallel task. If granularity is too fine, then performance can suffer from communication overhead.