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Article

Threading Models for High-Performance Computing: Pthreads or OpenMP?

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...
Автор: Последнее обновление: 06.07.2019 - 16:40
Article

Intel® IPP - Threading / OpenMP* FAQ

This page contains common questions and answers on multi-threading in the Intel IPP.
Автор: Последнее обновление: 31.07.2019 - 14:30
Article

Intel® IPP - Library dependencies by domain

IPP demain dependencies.
Автор: админ Последнее обновление: 31.07.2019 - 14:30
Article

Find the Intel® IPP Libraries Needed by Your Application

Overview

Автор: админ Последнее обновление: 31.07.2019 - 14:31
Article

Intel® IPP Memory Function ippMalloc/Free FAQ

Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
Автор: Последнее обновление: 31.07.2019 - 14:30
Article

Building NetCDF* with the Intel® compilers

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.
Автор: AmandaS (Intel) Последнее обновление: 01.06.2017 - 11:22
Article

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
Автор: Последнее обновление: 31.07.2019 - 14:23
Article

PowerTOP Primer

Note: All information from this article has been taken from https://01.org/powertop/  
Автор: Mike P. (Intel) Последнее обновление: 12.07.2019 - 14:44
Article

Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate Algorithms

This 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.
Автор: админ Последнее обновление: 31.07.2019 - 15:00
Article

Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector Extensions

This 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.
Автор: Larsson, Petter (Blackbelt) Последнее обновление: 25.05.2018 - 15:30