fourier transform

Setting number_of_user_threads for Intel® Math Kernal Library FFTW3 wrappers

Consider the case when you

  • Create a FFTW3 plan and use the plan for sequential DFT computation on each thread in your parallel region
  • Use Intel Math Kernal Library (Intel MKL) FFTW3 wrappers
  • Want the best performance

Intel MKL FFTW3 wrappers are thread safe by default. However, you should set one additional Intel MKL variable to get the best performance with Intel MKL. Set the number_of_users_threads variable as described below.

In C:

#include "fftw3.h"

  • Средний
  • Intel® C++ Composer XE
  • Библиотека Intel® Math Kernel Library
  • OpenMP*
  • FFT
  • FFTW
  • FFTW3
  • fourier transform
  • MKL FFTW3 wrappers
  • number_of_users_threads
  • Оптимизация
  • Параллельные вычисления
  • Многопоточность
  • How to use Intel® IPP’s 1D Fourier Transform Functions

    Intel® IPP provides several functions to compute the forward and reverse fast Fourier transform algorithm for real or complex data.  While there are 1D and 2D versions in the library, this article will focus on 1D.

  • Разработчики
  • C/C++
  • Intel® Integrated Performance Primitives
  • 1D complex-to-complex FFT
  • fourier transform
  • Intel® MKL Core Libraries Now Contain FFTW3 Interfaces

    The Intel MKL 10.2 and later FFTW3 interface is integrated directly into the core libraries.
  • Библиотека Intel® Math Kernel Library
  • FFT
  • FFTW3
  • fourier transform
  • prebuilt FFTW
  • Integrated FFTW interfaces
  • FFTW
  • Intel® MKL Threaded 1D FFTs

    This document describes the cases for which the Intel MKL 10.2 and later 1D complex-to-complex FFTs are threaded.
  • Библиотека Intel® Math Kernel Library
  • FFT
  • multithread
  • fourier transform
  • multi-core
  • multicore
  • Оптимизация
  • Многопоточность
  • Подписаться на fourier transform