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started real optimization, added benchmark for FFT
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64
bench/benchFFT.cpp
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64
bench/benchFFT.cpp
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2009 Mark Borgerding mark a borgerding net
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include <complex>
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#include <vector>
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#include <Eigen/Core>
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#include <bench/BenchTimer.h>
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#include <unsupported/Eigen/FFT.h>
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using namespace Eigen;
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using namespace std;
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#ifndef NFFT
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#define NFFT 1024
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#endif
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#ifndef TYPE
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#define TYPE float
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#endif
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#ifndef NITS
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#define NITS (10000000/NFFT)
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#endif
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int main()
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{
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vector<complex<TYPE> > inbuf(NFFT);
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vector<complex<TYPE> > outbuf(NFFT);
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Eigen::FFT<TYPE> fft;
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fft.fwd( outbuf , inbuf);
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BenchTimer timer;
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timer.reset();
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for (int k=0;k<8;++k) {
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timer.start();
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for(int i = 0; i < NITS; i++)
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fft.fwd( outbuf , inbuf);
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timer.stop();
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}
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double mflops = 5.*NFFT*log2((double)NFFT) / (1e6 * timer.value() / (double)NITS );
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cout << "NFFT=" << NFFT << " " << (double(1e-6*NFFT*NITS)/timer.value()) << " MS/s " << mflops << "MFLOPS\n";
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}
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