Inverse_SSE.h
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00001 // This file is part of Eigen, a lightweight C++ template library
00002 // for linear algebra.
00003 //
00004 // Copyright (C) 2001 Intel Corporation
00005 // Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
00006 // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
00007 //
00008 // This Source Code Form is subject to the terms of the Mozilla
00009 // Public License v. 2.0. If a copy of the MPL was not distributed
00010 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
00011 
00012 // The SSE code for the 4x4 float and double matrix inverse in this file
00013 // comes from the following Intel's library:
00014 // http://software.intel.com/en-us/articles/optimized-matrix-library-for-use-with-the-intel-pentiumr-4-processors-sse2-instructions/
00015 //
00016 // Here is the respective copyright and license statement:
00017 //
00018 //   Copyright (c) 2001 Intel Corporation.
00019 //
00020 // Permition is granted to use, copy, distribute and prepare derivative works
00021 // of this library for any purpose and without fee, provided, that the above
00022 // copyright notice and this statement appear in all copies.
00023 // Intel makes no representations about the suitability of this software for
00024 // any purpose, and specifically disclaims all warranties.
00025 // See LEGAL.TXT for all the legal information.
00026 
00027 #ifndef EIGEN_INVERSE_SSE_H
00028 #define EIGEN_INVERSE_SSE_H
00029 
00030 namespace Eigen { 
00031 
00032 namespace internal {
00033 
00034 template<typename MatrixType, typename ResultType>
00035 struct compute_inverse_size4<Architecture::SSE, float, MatrixType, ResultType>
00036 {
00037   enum {
00038     MatrixAlignment     = bool(MatrixType::Flags&AlignedBit),
00039     ResultAlignment     = bool(ResultType::Flags&AlignedBit),
00040     StorageOrdersMatch  = (MatrixType::Flags&RowMajorBit) == (ResultType::Flags&RowMajorBit)
00041   };
00042   
00043   static void run(const MatrixType& matrix, ResultType& result)
00044   {
00045     EIGEN_ALIGN16 const unsigned int _Sign_PNNP[4] = { 0x00000000, 0x80000000, 0x80000000, 0x00000000 };
00046 
00047     // Load the full matrix into registers
00048     __m128 _L1 = matrix.template packet<MatrixAlignment>( 0);
00049     __m128 _L2 = matrix.template packet<MatrixAlignment>( 4);
00050     __m128 _L3 = matrix.template packet<MatrixAlignment>( 8);
00051     __m128 _L4 = matrix.template packet<MatrixAlignment>(12);
00052 
00053     // The inverse is calculated using "Divide and Conquer" technique. The
00054     // original matrix is divide into four 2x2 sub-matrices. Since each
00055     // register holds four matrix element, the smaller matrices are
00056     // represented as a registers. Hence we get a better locality of the
00057     // calculations.
00058 
00059     __m128 A, B, C, D; // the four sub-matrices
00060     if(!StorageOrdersMatch)
00061     {
00062       A = _mm_unpacklo_ps(_L1, _L2);
00063       B = _mm_unpacklo_ps(_L3, _L4);
00064       C = _mm_unpackhi_ps(_L1, _L2);
00065       D = _mm_unpackhi_ps(_L3, _L4);
00066     }
00067     else
00068     {
00069       A = _mm_movelh_ps(_L1, _L2);
00070       B = _mm_movehl_ps(_L2, _L1);
00071       C = _mm_movelh_ps(_L3, _L4);
00072       D = _mm_movehl_ps(_L4, _L3);
00073     }
00074 
00075     __m128 iA, iB, iC, iD,                 // partial inverse of the sub-matrices
00076             DC, AB;
00077     __m128 dA, dB, dC, dD;                 // determinant of the sub-matrices
00078     __m128 det, d, d1, d2;
00079     __m128 rd;                             // reciprocal of the determinant
00080 
00081     //  AB = A# * B
00082     AB = _mm_mul_ps(_mm_shuffle_ps(A,A,0x0F), B);
00083     AB = _mm_sub_ps(AB,_mm_mul_ps(_mm_shuffle_ps(A,A,0xA5), _mm_shuffle_ps(B,B,0x4E)));
00084     //  DC = D# * C
00085     DC = _mm_mul_ps(_mm_shuffle_ps(D,D,0x0F), C);
00086     DC = _mm_sub_ps(DC,_mm_mul_ps(_mm_shuffle_ps(D,D,0xA5), _mm_shuffle_ps(C,C,0x4E)));
00087 
00088     //  dA = |A|
00089     dA = _mm_mul_ps(_mm_shuffle_ps(A, A, 0x5F),A);
00090     dA = _mm_sub_ss(dA, _mm_movehl_ps(dA,dA));
00091     //  dB = |B|
00092     dB = _mm_mul_ps(_mm_shuffle_ps(B, B, 0x5F),B);
00093     dB = _mm_sub_ss(dB, _mm_movehl_ps(dB,dB));
00094 
00095     //  dC = |C|
00096     dC = _mm_mul_ps(_mm_shuffle_ps(C, C, 0x5F),C);
00097     dC = _mm_sub_ss(dC, _mm_movehl_ps(dC,dC));
00098     //  dD = |D|
00099     dD = _mm_mul_ps(_mm_shuffle_ps(D, D, 0x5F),D);
00100     dD = _mm_sub_ss(dD, _mm_movehl_ps(dD,dD));
00101 
00102     //  d = trace(AB*DC) = trace(A#*B*D#*C)
00103     d = _mm_mul_ps(_mm_shuffle_ps(DC,DC,0xD8),AB);
00104 
00105     //  iD = C*A#*B
00106     iD = _mm_mul_ps(_mm_shuffle_ps(C,C,0xA0), _mm_movelh_ps(AB,AB));
00107     iD = _mm_add_ps(iD,_mm_mul_ps(_mm_shuffle_ps(C,C,0xF5), _mm_movehl_ps(AB,AB)));
00108     //  iA = B*D#*C
00109     iA = _mm_mul_ps(_mm_shuffle_ps(B,B,0xA0), _mm_movelh_ps(DC,DC));
00110     iA = _mm_add_ps(iA,_mm_mul_ps(_mm_shuffle_ps(B,B,0xF5), _mm_movehl_ps(DC,DC)));
00111 
00112     //  d = trace(AB*DC) = trace(A#*B*D#*C) [continue]
00113     d  = _mm_add_ps(d, _mm_movehl_ps(d, d));
00114     d  = _mm_add_ss(d, _mm_shuffle_ps(d, d, 1));
00115     d1 = _mm_mul_ss(dA,dD);
00116     d2 = _mm_mul_ss(dB,dC);
00117 
00118     //  iD = D*|A| - C*A#*B
00119     iD = _mm_sub_ps(_mm_mul_ps(D,_mm_shuffle_ps(dA,dA,0)), iD);
00120 
00121     //  iA = A*|D| - B*D#*C;
00122     iA = _mm_sub_ps(_mm_mul_ps(A,_mm_shuffle_ps(dD,dD,0)), iA);
00123 
00124     //  det = |A|*|D| + |B|*|C| - trace(A#*B*D#*C)
00125     det = _mm_sub_ss(_mm_add_ss(d1,d2),d);
00126     rd  = _mm_div_ss(_mm_set_ss(1.0f), det);
00127 
00128 //     #ifdef ZERO_SINGULAR
00129 //         rd = _mm_and_ps(_mm_cmpneq_ss(det,_mm_setzero_ps()), rd);
00130 //     #endif
00131 
00132     //  iB = D * (A#B)# = D*B#*A
00133     iB = _mm_mul_ps(D, _mm_shuffle_ps(AB,AB,0x33));
00134     iB = _mm_sub_ps(iB, _mm_mul_ps(_mm_shuffle_ps(D,D,0xB1), _mm_shuffle_ps(AB,AB,0x66)));
00135     //  iC = A * (D#C)# = A*C#*D
00136     iC = _mm_mul_ps(A, _mm_shuffle_ps(DC,DC,0x33));
00137     iC = _mm_sub_ps(iC, _mm_mul_ps(_mm_shuffle_ps(A,A,0xB1), _mm_shuffle_ps(DC,DC,0x66)));
00138 
00139     rd = _mm_shuffle_ps(rd,rd,0);
00140     rd = _mm_xor_ps(rd, _mm_load_ps((float*)_Sign_PNNP));
00141 
00142     //  iB = C*|B| - D*B#*A
00143     iB = _mm_sub_ps(_mm_mul_ps(C,_mm_shuffle_ps(dB,dB,0)), iB);
00144 
00145     //  iC = B*|C| - A*C#*D;
00146     iC = _mm_sub_ps(_mm_mul_ps(B,_mm_shuffle_ps(dC,dC,0)), iC);
00147 
00148     //  iX = iX / det
00149     iA = _mm_mul_ps(rd,iA);
00150     iB = _mm_mul_ps(rd,iB);
00151     iC = _mm_mul_ps(rd,iC);
00152     iD = _mm_mul_ps(rd,iD);
00153 
00154     result.template writePacket<ResultAlignment>( 0, _mm_shuffle_ps(iA,iB,0x77));
00155     result.template writePacket<ResultAlignment>( 4, _mm_shuffle_ps(iA,iB,0x22));
00156     result.template writePacket<ResultAlignment>( 8, _mm_shuffle_ps(iC,iD,0x77));
00157     result.template writePacket<ResultAlignment>(12, _mm_shuffle_ps(iC,iD,0x22));
00158   }
00159 
00160 };
00161 
00162 template<typename MatrixType, typename ResultType>
00163 struct compute_inverse_size4<Architecture::SSE, double, MatrixType, ResultType>
00164 {
00165   enum {
00166     MatrixAlignment = bool(MatrixType::Flags&AlignedBit),
00167     ResultAlignment = bool(ResultType::Flags&AlignedBit),
00168     StorageOrdersMatch  = (MatrixType::Flags&RowMajorBit) == (ResultType::Flags&RowMajorBit)
00169   };
00170   static void run(const MatrixType& matrix, ResultType& result)
00171   {
00172     const __m128d _Sign_NP = _mm_castsi128_pd(_mm_set_epi32(0x0,0x0,0x80000000,0x0));
00173     const __m128d _Sign_PN = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
00174 
00175     // The inverse is calculated using "Divide and Conquer" technique. The
00176     // original matrix is divide into four 2x2 sub-matrices. Since each
00177     // register of the matrix holds two element, the smaller matrices are
00178     // consisted of two registers. Hence we get a better locality of the
00179     // calculations.
00180 
00181     // the four sub-matrices
00182     __m128d A1, A2, B1, B2, C1, C2, D1, D2;
00183     
00184     if(StorageOrdersMatch)
00185     {
00186       A1 = matrix.template packet<MatrixAlignment>( 0); B1 = matrix.template packet<MatrixAlignment>( 2);
00187       A2 = matrix.template packet<MatrixAlignment>( 4); B2 = matrix.template packet<MatrixAlignment>( 6);
00188       C1 = matrix.template packet<MatrixAlignment>( 8); D1 = matrix.template packet<MatrixAlignment>(10);
00189       C2 = matrix.template packet<MatrixAlignment>(12); D2 = matrix.template packet<MatrixAlignment>(14);
00190     }
00191     else
00192     {
00193       __m128d tmp;
00194       A1 = matrix.template packet<MatrixAlignment>( 0); C1 = matrix.template packet<MatrixAlignment>( 2);
00195       A2 = matrix.template packet<MatrixAlignment>( 4); C2 = matrix.template packet<MatrixAlignment>( 6);
00196       tmp = A1;
00197       A1 = _mm_unpacklo_pd(A1,A2);
00198       A2 = _mm_unpackhi_pd(tmp,A2);
00199       tmp = C1;
00200       C1 = _mm_unpacklo_pd(C1,C2);
00201       C2 = _mm_unpackhi_pd(tmp,C2);
00202       
00203       B1 = matrix.template packet<MatrixAlignment>( 8); D1 = matrix.template packet<MatrixAlignment>(10);
00204       B2 = matrix.template packet<MatrixAlignment>(12); D2 = matrix.template packet<MatrixAlignment>(14);
00205       tmp = B1;
00206       B1 = _mm_unpacklo_pd(B1,B2);
00207       B2 = _mm_unpackhi_pd(tmp,B2);
00208       tmp = D1;
00209       D1 = _mm_unpacklo_pd(D1,D2);
00210       D2 = _mm_unpackhi_pd(tmp,D2);
00211     }
00212     
00213     __m128d iA1, iA2, iB1, iB2, iC1, iC2, iD1, iD2,     // partial invese of the sub-matrices
00214             DC1, DC2, AB1, AB2;
00215     __m128d dA, dB, dC, dD;     // determinant of the sub-matrices
00216     __m128d det, d1, d2, rd;
00217 
00218     //  dA = |A|
00219     dA = _mm_shuffle_pd(A2, A2, 1);
00220     dA = _mm_mul_pd(A1, dA);
00221     dA = _mm_sub_sd(dA, _mm_shuffle_pd(dA,dA,3));
00222     //  dB = |B|
00223     dB = _mm_shuffle_pd(B2, B2, 1);
00224     dB = _mm_mul_pd(B1, dB);
00225     dB = _mm_sub_sd(dB, _mm_shuffle_pd(dB,dB,3));
00226 
00227     //  AB = A# * B
00228     AB1 = _mm_mul_pd(B1, _mm_shuffle_pd(A2,A2,3));
00229     AB2 = _mm_mul_pd(B2, _mm_shuffle_pd(A1,A1,0));
00230     AB1 = _mm_sub_pd(AB1, _mm_mul_pd(B2, _mm_shuffle_pd(A1,A1,3)));
00231     AB2 = _mm_sub_pd(AB2, _mm_mul_pd(B1, _mm_shuffle_pd(A2,A2,0)));
00232 
00233     //  dC = |C|
00234     dC = _mm_shuffle_pd(C2, C2, 1);
00235     dC = _mm_mul_pd(C1, dC);
00236     dC = _mm_sub_sd(dC, _mm_shuffle_pd(dC,dC,3));
00237     //  dD = |D|
00238     dD = _mm_shuffle_pd(D2, D2, 1);
00239     dD = _mm_mul_pd(D1, dD);
00240     dD = _mm_sub_sd(dD, _mm_shuffle_pd(dD,dD,3));
00241 
00242     //  DC = D# * C
00243     DC1 = _mm_mul_pd(C1, _mm_shuffle_pd(D2,D2,3));
00244     DC2 = _mm_mul_pd(C2, _mm_shuffle_pd(D1,D1,0));
00245     DC1 = _mm_sub_pd(DC1, _mm_mul_pd(C2, _mm_shuffle_pd(D1,D1,3)));
00246     DC2 = _mm_sub_pd(DC2, _mm_mul_pd(C1, _mm_shuffle_pd(D2,D2,0)));
00247 
00248     //  rd = trace(AB*DC) = trace(A#*B*D#*C)
00249     d1 = _mm_mul_pd(AB1, _mm_shuffle_pd(DC1, DC2, 0));
00250     d2 = _mm_mul_pd(AB2, _mm_shuffle_pd(DC1, DC2, 3));
00251     rd = _mm_add_pd(d1, d2);
00252     rd = _mm_add_sd(rd, _mm_shuffle_pd(rd, rd,3));
00253 
00254     //  iD = C*A#*B
00255     iD1 = _mm_mul_pd(AB1, _mm_shuffle_pd(C1,C1,0));
00256     iD2 = _mm_mul_pd(AB1, _mm_shuffle_pd(C2,C2,0));
00257     iD1 = _mm_add_pd(iD1, _mm_mul_pd(AB2, _mm_shuffle_pd(C1,C1,3)));
00258     iD2 = _mm_add_pd(iD2, _mm_mul_pd(AB2, _mm_shuffle_pd(C2,C2,3)));
00259 
00260     //  iA = B*D#*C
00261     iA1 = _mm_mul_pd(DC1, _mm_shuffle_pd(B1,B1,0));
00262     iA2 = _mm_mul_pd(DC1, _mm_shuffle_pd(B2,B2,0));
00263     iA1 = _mm_add_pd(iA1, _mm_mul_pd(DC2, _mm_shuffle_pd(B1,B1,3)));
00264     iA2 = _mm_add_pd(iA2, _mm_mul_pd(DC2, _mm_shuffle_pd(B2,B2,3)));
00265 
00266     //  iD = D*|A| - C*A#*B
00267     dA = _mm_shuffle_pd(dA,dA,0);
00268     iD1 = _mm_sub_pd(_mm_mul_pd(D1, dA), iD1);
00269     iD2 = _mm_sub_pd(_mm_mul_pd(D2, dA), iD2);
00270 
00271     //  iA = A*|D| - B*D#*C;
00272     dD = _mm_shuffle_pd(dD,dD,0);
00273     iA1 = _mm_sub_pd(_mm_mul_pd(A1, dD), iA1);
00274     iA2 = _mm_sub_pd(_mm_mul_pd(A2, dD), iA2);
00275 
00276     d1 = _mm_mul_sd(dA, dD);
00277     d2 = _mm_mul_sd(dB, dC);
00278 
00279     //  iB = D * (A#B)# = D*B#*A
00280     iB1 = _mm_mul_pd(D1, _mm_shuffle_pd(AB2,AB1,1));
00281     iB2 = _mm_mul_pd(D2, _mm_shuffle_pd(AB2,AB1,1));
00282     iB1 = _mm_sub_pd(iB1, _mm_mul_pd(_mm_shuffle_pd(D1,D1,1), _mm_shuffle_pd(AB2,AB1,2)));
00283     iB2 = _mm_sub_pd(iB2, _mm_mul_pd(_mm_shuffle_pd(D2,D2,1), _mm_shuffle_pd(AB2,AB1,2)));
00284 
00285     //  det = |A|*|D| + |B|*|C| - trace(A#*B*D#*C)
00286     det = _mm_add_sd(d1, d2);
00287     det = _mm_sub_sd(det, rd);
00288 
00289     //  iC = A * (D#C)# = A*C#*D
00290     iC1 = _mm_mul_pd(A1, _mm_shuffle_pd(DC2,DC1,1));
00291     iC2 = _mm_mul_pd(A2, _mm_shuffle_pd(DC2,DC1,1));
00292     iC1 = _mm_sub_pd(iC1, _mm_mul_pd(_mm_shuffle_pd(A1,A1,1), _mm_shuffle_pd(DC2,DC1,2)));
00293     iC2 = _mm_sub_pd(iC2, _mm_mul_pd(_mm_shuffle_pd(A2,A2,1), _mm_shuffle_pd(DC2,DC1,2)));
00294 
00295     rd = _mm_div_sd(_mm_set_sd(1.0), det);
00296 //     #ifdef ZERO_SINGULAR
00297 //         rd = _mm_and_pd(_mm_cmpneq_sd(det,_mm_setzero_pd()), rd);
00298 //     #endif
00299     rd = _mm_shuffle_pd(rd,rd,0);
00300 
00301     //  iB = C*|B| - D*B#*A
00302     dB = _mm_shuffle_pd(dB,dB,0);
00303     iB1 = _mm_sub_pd(_mm_mul_pd(C1, dB), iB1);
00304     iB2 = _mm_sub_pd(_mm_mul_pd(C2, dB), iB2);
00305 
00306     d1 = _mm_xor_pd(rd, _Sign_PN);
00307     d2 = _mm_xor_pd(rd, _Sign_NP);
00308 
00309     //  iC = B*|C| - A*C#*D;
00310     dC = _mm_shuffle_pd(dC,dC,0);
00311     iC1 = _mm_sub_pd(_mm_mul_pd(B1, dC), iC1);
00312     iC2 = _mm_sub_pd(_mm_mul_pd(B2, dC), iC2);
00313 
00314     result.template writePacket<ResultAlignment>( 0, _mm_mul_pd(_mm_shuffle_pd(iA2, iA1, 3), d1));     // iA# / det
00315     result.template writePacket<ResultAlignment>( 4, _mm_mul_pd(_mm_shuffle_pd(iA2, iA1, 0), d2));
00316     result.template writePacket<ResultAlignment>( 2, _mm_mul_pd(_mm_shuffle_pd(iB2, iB1, 3), d1));     // iB# / det
00317     result.template writePacket<ResultAlignment>( 6, _mm_mul_pd(_mm_shuffle_pd(iB2, iB1, 0), d2));
00318     result.template writePacket<ResultAlignment>( 8, _mm_mul_pd(_mm_shuffle_pd(iC2, iC1, 3), d1));     // iC# / det
00319     result.template writePacket<ResultAlignment>(12, _mm_mul_pd(_mm_shuffle_pd(iC2, iC1, 0), d2));
00320     result.template writePacket<ResultAlignment>(10, _mm_mul_pd(_mm_shuffle_pd(iD2, iD1, 3), d1));     // iD# / det
00321     result.template writePacket<ResultAlignment>(14, _mm_mul_pd(_mm_shuffle_pd(iD2, iD1, 0), d2));
00322   }
00323 };
00324 
00325 } // end namespace internal
00326 
00327 } // end namespace Eigen
00328 
00329 #endif // EIGEN_INVERSE_SSE_H


win_eigen
Author(s): Daniel Stonier
autogenerated on Wed Sep 16 2015 07:10:52