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.
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
Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building BlocksThreading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.