In recent years, Linux* has bolster its presence on the server, due to improved kernel support for threads. Along the way, Linux abandoned its original threading API (called Linux threads) and adopted Pthreads as its native threading interface, joining most of the UNIX variants available today. Linux developers-just like programmers working on UNIX and Windows*-can avail themselves of a second...
IPP demain dependencies.
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
A guide to help Intel® Fortran Compiler customers build the NetCDF software libraries on Intel® architecture systems. Also covers the use of the Intel® C++ Compiler. Includes prerequisites, configuration and setup information, and more.
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Note: All information from this article has been taken from https://01.org/powertop/
Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate AlgorithmsThis paper examines how to use Intel® SSE to accelerate an image processing application, how to take advantage of it using compiler directives for optimal SIMD code generation, and how to employ Intel® IPP to fully exploit SIMD acceleration.
Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector ExtensionsThis article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized 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