The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?
This is a "matrix multiplication" example that illustrates different features of Intel® System Studio on Microsoft* Visual Studio* IDE, Eclipse* IDE and on Yocto* Target System By Downloading or copying all or any part of the sample source code, you agree to the terms of the Intel® Sample Source Code License Agreement
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
This page contains common questions and answers on multi-threading in the Intel IPP.
Developing Embedded application on Intel® Atom™ Processor E3800 (Formerly Bay Trail) using Intel® System Studio 2015This article is about developing any type of embedded application on Intel® Atom™ 3800 processor using Intel® System Studio
Steps to profile Windows* services by Intel® VTune™ Amplifier XE
Using Intel® Math Kernel Library and Intel® Integrated Performance Primitives in the Microsoft* .NET* FrameworkThis article is about calling intel® MKL and Intel® from .NET framework
With Microsoft® .NET Framework, developers can now quickly build rich and robust business solutions. Because architecture and design of these solutions is not straightforward, developers must be aware of core performance issues. This paper discusses designing for performance as well as providing information about common mistakes.