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// simd functions for peak metering
// Copyright (C) 2010 Tim Blechmann
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; see the file COPYING. If not, write to
// the Free Software Foundation, Inc., 59 Temple Place - Suite 330,
// Boston, MA 02111-1307, USA.
#ifndef SIMD_PEAKMETER_HPP
#define SIMD_PEAKMETER_HPP
#include "vec.hpp"
#include <cmath> /* for abs */
#include <algorithm> /* for max */
#if defined(__GNUC__) && defined(NDEBUG)
#define always_inline inline __attribute__((always_inline))
#else
#define always_inline inline
#endif
namespace nova
{
/* updates peak, returns last abs(in[n-1]) */
template <typename F>
inline F peak_vec(const F * in, F * peak, unsigned int n)
{
F last;
F local_peak = *peak;
using namespace std;
do {
last = std::fabs(*in++);
local_peak = max(local_peak, last);
} while(--n);
*peak = local_peak;
return last;
}
template <typename F>
inline F peak_vec_simd(const F * in, F * peak, unsigned int n)
{
vec<F> maximum, abs3;
maximum.load_first(peak);
/* loop */
const size_t vec_size = vec<F>::size;
const size_t unroll = 4 * vec_size;
n /= unroll;
do {
vec<F> in0, in1, in2, in3;
in0.load_aligned(in);
in1.load_aligned(in+vec_size);
in2.load_aligned(in+2*vec_size);
in3.load_aligned(in+3*vec_size);
vec<F> abs0 = abs(in0);
vec<F> abs1 = abs(in1);
vec<F> abs2 = abs(in2);
abs3 = abs(in3);
vec<F> local_max = max_(max_(abs0, abs1),
max_(abs2, abs3));
maximum = max_(maximum, local_max);
in += unroll;
} while(--n);
/* horizonal accumulation */
*peak = maximum.horizontal_max();
/* return absolute of last sample */
return abs3.get(vec<F>::size - 1);
}
/* updates peak and squared sum */
template <typename F>
inline void peak_rms_vec(const F * in, F * peak, F * squared_sum, unsigned int n)
{
F local_peak = *peak;
F local_squared_sum = *squared_sum;
using namespace std;
do {
F in_sample = *in++;
F last = std::fabs(in_sample);
local_peak = max(local_peak, last);
local_squared_sum += in_sample * in_sample;
} while(--n);
*peak = local_peak;
*squared_sum = local_squared_sum;
}
template <typename F>
inline void peak_rms_vec_simd(const F * in, F * peak, F * squared_sum, unsigned int n)
{
vec<F> maximum;
maximum.load_first(peak);
vec<F> local_squared_sum;
local_squared_sum.load_first(squared_sum);
/* loop */
const size_t vec_size = vec<F>::size;
const size_t unroll = 4 * vec_size;
n /= unroll;
do {
vec<F> in0, in1, in2, in3;
in0.load_aligned(in);
in1.load_aligned(in+vec_size);
in2.load_aligned(in+2*vec_size);
in3.load_aligned(in+3*vec_size);
vec<F> abs0 = abs(in0);
vec<F> sqr0 = square(in0);
vec<F> abs1 = abs(in1);
vec<F> sqr1 = square(in1);
vec<F> abs2 = abs(in2);
vec<F> sqr2 = square(in2);
vec<F> abs3 = abs(in3);
vec<F> sqr3 = square(in3);
vec<F> local_max = max_(max_(abs0, abs1),
max_(abs2, abs3));
maximum = max_(maximum, local_max);
local_squared_sum += sqr0 + sqr1 + sqr2 + sqr3;
in += unroll;
} while(--n);
/* horizonal accumulation */
*peak = maximum.horizontal_max();
*squared_sum = local_squared_sum.horizontal_sum();
}
} /* namespace nova */
#undef always_inline
#endif /* SIMD_PEAKMETER_HPP */
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