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Added initial experimental support for explicit vectorization.

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Currently only the following platform/operations are supported:
 - SSE2 compatible architecture
 - compiler compatible with intel's SSE2 intrinsics
 - float, double and int data types
 - fixed size matrices with a storage major dimension multiple of 4 (or 2 for double)
 - scalar-matrix product, component wise: +,-,*,min,max
 - matrix-matrix product only if the left matrix is vectorizable and column major
   or the right matrix is vectorizable and row major, e.g.:
   a.transpose() * b is not vectorized with the default column major storage.
To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.
This commit is contained in:
Gael Guennebaud
2008-04-09 12:31:55 +00:00
parent 4920f2011e
commit 1985fb0551
25 changed files with 436 additions and 93 deletions
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Eigen/src/Core/PacketMath.h Normal file
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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, 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.
//
// Eigen 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 Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_PACKET_MATH_H
#define EIGEN_PACKET_MATH_H
#ifdef EIGEN_INTEL_PLATFORM
template<> struct ei_packet_traits<float> { typedef __m128 type; enum {size=4}; };
template<> struct ei_packet_traits<double> { typedef __m128d type; enum {size=2}; };
template<> struct ei_packet_traits<int> { typedef __m128i type; enum {size=4}; };
inline __m128 ei_padd(const __m128& a, const __m128& b) { return _mm_add_ps(a,b); }
inline __m128d ei_padd(const __m128d& a, const __m128d& b) { return _mm_add_pd(a,b); }
inline __m128i ei_padd(const __m128i& a, const __m128i& b) { return _mm_add_epi32(a,b); }
inline __m128 ei_psub(const __m128& a, const __m128& b) { return _mm_sub_ps(a,b); }
inline __m128d ei_psub(const __m128d& a, const __m128d& b) { return _mm_sub_pd(a,b); }
inline __m128i ei_psub(const __m128i& a, const __m128i& b) { return _mm_sub_epi32(a,b); }
inline __m128 ei_pmul(const __m128& a, const __m128& b) { return _mm_mul_ps(a,b); }
inline __m128d ei_pmul(const __m128d& a, const __m128d& b) { return _mm_mul_pd(a,b); }
inline __m128i ei_pmul(const __m128i& a, const __m128i& b) { return _mm_mul_epu32(a,b); }
inline __m128 ei_pmin(const __m128& a, const __m128& b) { return _mm_min_ps(a,b); }
inline __m128d ei_pmin(const __m128d& a, const __m128d& b) { return _mm_min_pd(a,b); }
inline __m128i ei_pmin(const __m128i& a, const __m128i& b)
{
__m128i mask = _mm_cmplt_epi32(a,b);
return _mm_or_si128(_mm_and_si128(mask,a),_mm_andnot_si128(mask,b));
}
inline __m128 ei_pmax(const __m128& a, const __m128& b) { return _mm_max_ps(a,b); }
inline __m128d ei_pmax(const __m128d& a, const __m128d& b) { return _mm_max_pd(a,b); }
inline __m128i ei_pmax(const __m128i& a, const __m128i& b)
{
__m128i mask = _mm_cmpgt_epi32(a,b);
return _mm_or_si128(_mm_and_si128(mask,a),_mm_andnot_si128(mask,b));
}
inline __m128 ei_pload(const float* from) { return _mm_load_ps(from); }
inline __m128d ei_pload(const double* from) { return _mm_load_pd(from); }
inline __m128i ei_pload(const __m128i* from) { return _mm_load_si128(from); }
inline __m128 ei_pload1(const float* from) { return _mm_load1_ps(from); }
inline __m128d ei_pload1(const double* from) { return _mm_load1_pd(from); }
inline __m128i ei_pload1(const int* from) { return _mm_set1_epi32(*from); }
inline __m128 ei_pset1(const float& from) { return _mm_set1_ps(from); }
inline __m128d ei_pset1(const double& from) { return _mm_set1_pd(from); }
inline __m128i ei_pset1(const int& from) { return _mm_set1_epi32(from); }
inline void ei_pstore(float* to, const __m128& from) { _mm_store_ps(to, from); }
inline void ei_pstore(double* to, const __m128d& from) { _mm_store_pd(to, from); }
inline void ei_pstore(__m128i* to, const __m128i& from) { _mm_store_si128(to, from); }
inline float ei_pfirst(const __m128& a) { return _mm_cvtss_f32(a); }
inline double ei_pfirst(const __m128d& a) { return _mm_cvtsd_f64(a); }
inline int ei_pfirst(const __m128i& a) { return _mm_cvtsi128_si32(a); }
#endif
#endif // EIGEN_PACKET_MATH_H