Date: 2022-03-31T04:46:51+00:00

Actual source code: baijfact11.c

      2: /*
      3:     Factorization code for BAIJ format.
      4: */
      5: #include <../src/mat/impls/baij/seq/baij.h>
      6: #include <petsc/private/kernels/blockinvert.h>

      8: /* ------------------------------------------------------------*/
      9: /*
     10:       Version for when blocks are 4 by 4
     11: */
     12: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_inplace(Mat C,Mat A,const MatFactorInfo *info)
     13: {
     14:   Mat_SeqBAIJ    *a    = (Mat_SeqBAIJ*)A->data,*b = (Mat_SeqBAIJ*)C->data;
     15:   IS             isrow = b->row,isicol = b->icol;
     16:   const PetscInt *r,*ic;
     17:   PetscInt       i,j,n = a->mbs,*bi = b->i,*bj = b->j;
     18:   PetscInt       *ajtmpold,*ajtmp,nz,row;
     19:   PetscInt       *diag_offset = b->diag,idx,*ai=a->i,*aj=a->j,*pj;
     20:   MatScalar      *pv,*v,*rtmp,*pc,*w,*x;
     21:   MatScalar      p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4;
     22:   MatScalar      p5,p6,p7,p8,p9,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16;
     23:   MatScalar      p10,p11,p12,p13,p14,p15,p16,m10,m11,m12;
     24:   MatScalar      m13,m14,m15,m16;
     25:   MatScalar      *ba           = b->a,*aa = a->a;
     26:   PetscBool      pivotinblocks = b->pivotinblocks;
     27:   PetscReal      shift         = info->shiftamount;
     28:   PetscBool      allowzeropivot,zeropivotdetected=PETSC_FALSE;

     30:   ISGetIndices(isrow,&r);
     31:   ISGetIndices(isicol,&ic);
     32:   PetscMalloc1(16*(n+1),&rtmp);
     33:   allowzeropivot = PetscNot(A->erroriffailure);

     35:   for (i=0; i<n; i++) {
     36:     nz    = bi[i+1] - bi[i];
     37:     ajtmp = bj + bi[i];
     38:     for  (j=0; j<nz; j++) {
     39:       x     = rtmp+16*ajtmp[j];
     40:       x[0]  = x[1]  = x[2]  = x[3]  = x[4]  = x[5]  = x[6] = x[7] = x[8] = x[9] = 0.0;
     41:       x[10] = x[11] = x[12] = x[13] = x[14] = x[15] = 0.0;
     42:     }
     43:     /* load in initial (unfactored row) */
     44:     idx      = r[i];
     45:     nz       = ai[idx+1] - ai[idx];
     46:     ajtmpold = aj + ai[idx];
     47:     v        = aa + 16*ai[idx];
     48:     for (j=0; j<nz; j++) {
     49:       x     = rtmp+16*ic[ajtmpold[j]];
     50:       x[0]  = v[0];  x[1]  = v[1];  x[2]  = v[2];  x[3]  = v[3];
     51:       x[4]  = v[4];  x[5]  = v[5];  x[6]  = v[6];  x[7]  = v[7];  x[8]  = v[8];
     52:       x[9]  = v[9];  x[10] = v[10]; x[11] = v[11]; x[12] = v[12]; x[13] = v[13];
     53:       x[14] = v[14]; x[15] = v[15];
     54:       v    += 16;
     55:     }
     56:     row = *ajtmp++;
     57:     while (row < i) {
     58:       pc  = rtmp + 16*row;
     59:       p1  = pc[0];  p2  = pc[1];  p3  = pc[2];  p4  = pc[3];
     60:       p5  = pc[4];  p6  = pc[5];  p7  = pc[6];  p8  = pc[7];  p9  = pc[8];
     61:       p10 = pc[9];  p11 = pc[10]; p12 = pc[11]; p13 = pc[12]; p14 = pc[13];
     62:       p15 = pc[14]; p16 = pc[15];
     63:       if (p1 != 0.0 || p2 != 0.0 || p3 != 0.0 || p4 != 0.0 || p5 != 0.0 ||
     64:           p6 != 0.0 || p7 != 0.0 || p8 != 0.0 || p9 != 0.0 || p10 != 0.0 ||
     65:           p11 != 0.0 || p12 != 0.0 || p13 != 0.0 || p14 != 0.0 || p15 != 0.0
     66:           || p16 != 0.0) {
     67:         pv    = ba + 16*diag_offset[row];
     68:         pj    = bj + diag_offset[row] + 1;
     69:         x1    = pv[0];  x2  = pv[1];  x3  = pv[2];  x4  = pv[3];
     70:         x5    = pv[4];  x6  = pv[5];  x7  = pv[6];  x8  = pv[7];  x9  = pv[8];
     71:         x10   = pv[9];  x11 = pv[10]; x12 = pv[11]; x13 = pv[12]; x14 = pv[13];
     72:         x15   = pv[14]; x16 = pv[15];
     73:         pc[0] = m1 = p1*x1 + p5*x2  + p9*x3  + p13*x4;
     74:         pc[1] = m2 = p2*x1 + p6*x2  + p10*x3 + p14*x4;
     75:         pc[2] = m3 = p3*x1 + p7*x2  + p11*x3 + p15*x4;
     76:         pc[3] = m4 = p4*x1 + p8*x2  + p12*x3 + p16*x4;

     78:         pc[4] = m5 = p1*x5 + p5*x6  + p9*x7  + p13*x8;
     79:         pc[5] = m6 = p2*x5 + p6*x6  + p10*x7 + p14*x8;
     80:         pc[6] = m7 = p3*x5 + p7*x6  + p11*x7 + p15*x8;
     81:         pc[7] = m8 = p4*x5 + p8*x6  + p12*x7 + p16*x8;

     83:         pc[8]  = m9  = p1*x9 + p5*x10  + p9*x11  + p13*x12;
     84:         pc[9]  = m10 = p2*x9 + p6*x10  + p10*x11 + p14*x12;
     85:         pc[10] = m11 = p3*x9 + p7*x10  + p11*x11 + p15*x12;
     86:         pc[11] = m12 = p4*x9 + p8*x10  + p12*x11 + p16*x12;

     88:         pc[12] = m13 = p1*x13 + p5*x14  + p9*x15  + p13*x16;
     89:         pc[13] = m14 = p2*x13 + p6*x14  + p10*x15 + p14*x16;
     90:         pc[14] = m15 = p3*x13 + p7*x14  + p11*x15 + p15*x16;
     91:         pc[15] = m16 = p4*x13 + p8*x14  + p12*x15 + p16*x16;

     93:         nz  = bi[row+1] - diag_offset[row] - 1;
     94:         pv += 16;
     95:         for (j=0; j<nz; j++) {
     96:           x1    = pv[0];  x2  = pv[1];   x3 = pv[2];  x4  = pv[3];
     97:           x5    = pv[4];  x6  = pv[5];   x7 = pv[6];  x8  = pv[7]; x9 = pv[8];
     98:           x10   = pv[9];  x11 = pv[10]; x12 = pv[11]; x13 = pv[12];
     99:           x14   = pv[13]; x15 = pv[14]; x16 = pv[15];
    100:           x     = rtmp + 16*pj[j];
    101:           x[0] -= m1*x1 + m5*x2  + m9*x3  + m13*x4;
    102:           x[1] -= m2*x1 + m6*x2  + m10*x3 + m14*x4;
    103:           x[2] -= m3*x1 + m7*x2  + m11*x3 + m15*x4;
    104:           x[3] -= m4*x1 + m8*x2  + m12*x3 + m16*x4;

    106:           x[4] -= m1*x5 + m5*x6  + m9*x7  + m13*x8;
    107:           x[5] -= m2*x5 + m6*x6  + m10*x7 + m14*x8;
    108:           x[6] -= m3*x5 + m7*x6  + m11*x7 + m15*x8;
    109:           x[7] -= m4*x5 + m8*x6  + m12*x7 + m16*x8;

    111:           x[8]  -= m1*x9 + m5*x10 + m9*x11  + m13*x12;
    112:           x[9]  -= m2*x9 + m6*x10 + m10*x11 + m14*x12;
    113:           x[10] -= m3*x9 + m7*x10 + m11*x11 + m15*x12;
    114:           x[11] -= m4*x9 + m8*x10 + m12*x11 + m16*x12;

    116:           x[12] -= m1*x13 + m5*x14  + m9*x15  + m13*x16;
    117:           x[13] -= m2*x13 + m6*x14  + m10*x15 + m14*x16;
    118:           x[14] -= m3*x13 + m7*x14  + m11*x15 + m15*x16;
    119:           x[15] -= m4*x13 + m8*x14  + m12*x15 + m16*x16;

    121:           pv += 16;
    122:         }
    123:         PetscLogFlops(128.0*nz+112.0);
    124:       }
    125:       row = *ajtmp++;
    126:     }
    127:     /* finished row so stick it into b->a */
    128:     pv = ba + 16*bi[i];
    129:     pj = bj + bi[i];
    130:     nz = bi[i+1] - bi[i];
    131:     for (j=0; j<nz; j++) {
    132:       x      = rtmp+16*pj[j];
    133:       pv[0]  = x[0];  pv[1]  = x[1];  pv[2]  = x[2];  pv[3]  = x[3];
    134:       pv[4]  = x[4];  pv[5]  = x[5];  pv[6]  = x[6];  pv[7]  = x[7]; pv[8] = x[8];
    135:       pv[9]  = x[9];  pv[10] = x[10]; pv[11] = x[11]; pv[12] = x[12];
    136:       pv[13] = x[13]; pv[14] = x[14]; pv[15] = x[15];
    137:       pv    += 16;
    138:     }
    139:     /* invert diagonal block */
    140:     w = ba + 16*diag_offset[i];
    141:     if (pivotinblocks) {
    142:       PetscKernel_A_gets_inverse_A_4(w,shift,allowzeropivot,&zeropivotdetected);
    143:       if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    144:     } else {
    145:       PetscKernel_A_gets_inverse_A_4_nopivot(w);
    146:     }
    147:   }

    149:   PetscFree(rtmp);
    150:   ISRestoreIndices(isicol,&ic);
    151:   ISRestoreIndices(isrow,&r);

    153:   C->ops->solve          = MatSolve_SeqBAIJ_4_inplace;
    154:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_inplace;
    155:   C->assembled           = PETSC_TRUE;

    157:   PetscLogFlops(1.333333333333*4*4*4*b->mbs); /* from inverting diagonal blocks */
    158:   return 0;
    159: }

    161: /* MatLUFactorNumeric_SeqBAIJ_4 -
    162:      copied from MatLUFactorNumeric_SeqBAIJ_N_inplace() and manually re-implemented
    163:        PetscKernel_A_gets_A_times_B()
    164:        PetscKernel_A_gets_A_minus_B_times_C()
    165:        PetscKernel_A_gets_inverse_A()
    166: */

    168: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4(Mat B,Mat A,const MatFactorInfo *info)
    169: {
    170:   Mat            C     = B;
    171:   Mat_SeqBAIJ    *a    = (Mat_SeqBAIJ*)A->data,*b=(Mat_SeqBAIJ*)C->data;
    172:   IS             isrow = b->row,isicol = b->icol;
    173:   const PetscInt *r,*ic;
    174:   PetscInt       i,j,k,nz,nzL,row;
    175:   const PetscInt n=a->mbs,*ai=a->i,*aj=a->j,*bi=b->i,*bj=b->j;
    176:   const PetscInt *ajtmp,*bjtmp,*bdiag=b->diag,*pj,bs2=a->bs2;
    177:   MatScalar      *rtmp,*pc,*mwork,*v,*pv,*aa=a->a;
    178:   PetscInt       flg;
    179:   PetscReal      shift;
    180:   PetscBool      allowzeropivot,zeropivotdetected;

    182:   allowzeropivot = PetscNot(A->erroriffailure);
    183:   ISGetIndices(isrow,&r);
    184:   ISGetIndices(isicol,&ic);

    186:   if (info->shifttype == MAT_SHIFT_NONE) {
    187:     shift = 0;
    188:   } else { /* info->shifttype == MAT_SHIFT_INBLOCKS */
    189:     shift = info->shiftamount;
    190:   }

    192:   /* generate work space needed by the factorization */
    193:   PetscMalloc2(bs2*n,&rtmp,bs2,&mwork);
    194:   PetscArrayzero(rtmp,bs2*n);

    196:   for (i=0; i<n; i++) {
    197:     /* zero rtmp */
    198:     /* L part */
    199:     nz    = bi[i+1] - bi[i];
    200:     bjtmp = bj + bi[i];
    201:     for  (j=0; j<nz; j++) {
    202:       PetscArrayzero(rtmp+bs2*bjtmp[j],bs2);
    203:     }

    205:     /* U part */
    206:     nz    = bdiag[i]-bdiag[i+1];
    207:     bjtmp = bj + bdiag[i+1]+1;
    208:     for  (j=0; j<nz; j++) {
    209:       PetscArrayzero(rtmp+bs2*bjtmp[j],bs2);
    210:     }

    212:     /* load in initial (unfactored row) */
    213:     nz    = ai[r[i]+1] - ai[r[i]];
    214:     ajtmp = aj + ai[r[i]];
    215:     v     = aa + bs2*ai[r[i]];
    216:     for (j=0; j<nz; j++) {
    217:       PetscArraycpy(rtmp+bs2*ic[ajtmp[j]],v+bs2*j,bs2);
    218:     }

    220:     /* elimination */
    221:     bjtmp = bj + bi[i];
    222:     nzL   = bi[i+1] - bi[i];
    223:     for (k=0; k < nzL; k++) {
    224:       row = bjtmp[k];
    225:       pc  = rtmp + bs2*row;
    226:       for (flg=0,j=0; j<bs2; j++) {
    227:         if (pc[j]!=0.0) {
    228:           flg = 1;
    229:           break;
    230:         }
    231:       }
    232:       if (flg) {
    233:         pv = b->a + bs2*bdiag[row];
    234:         /* PetscKernel_A_gets_A_times_B(bs,pc,pv,mwork); *pc = *pc * (*pv); */
    235:         PetscKernel_A_gets_A_times_B_4(pc,pv,mwork);

    237:         pj = b->j + bdiag[row+1]+1; /* beginning of U(row,:) */
    238:         pv = b->a + bs2*(bdiag[row+1]+1);
    239:         nz = bdiag[row] - bdiag[row+1] - 1; /* num of entries inU(row,:), excluding diag */
    240:         for (j=0; j<nz; j++) {
    241:           /* PetscKernel_A_gets_A_minus_B_times_C(bs,rtmp+bs2*pj[j],pc,pv+bs2*j); */
    242:           /* rtmp+bs2*pj[j] = rtmp+bs2*pj[j] - (*pc)*(pv+bs2*j) */
    243:           v    = rtmp + bs2*pj[j];
    244:           PetscKernel_A_gets_A_minus_B_times_C_4(v,pc,pv);
    245:           pv  += bs2;
    246:         }
    247:         PetscLogFlops(128.0*nz+112); /* flops = 2*bs^3*nz + 2*bs^3 - bs2) */
    248:       }
    249:     }

    251:     /* finished row so stick it into b->a */
    252:     /* L part */
    253:     pv = b->a + bs2*bi[i];
    254:     pj = b->j + bi[i];
    255:     nz = bi[i+1] - bi[i];
    256:     for (j=0; j<nz; j++) {
    257:       PetscArraycpy(pv+bs2*j,rtmp+bs2*pj[j],bs2);
    258:     }

    260:     /* Mark diagonal and invert diagonal for simpler triangular solves */
    261:     pv   = b->a + bs2*bdiag[i];
    262:     pj   = b->j + bdiag[i];
    263:     PetscArraycpy(pv,rtmp+bs2*pj[0],bs2);
    264:     PetscKernel_A_gets_inverse_A_4(pv,shift,allowzeropivot,&zeropivotdetected);
    265:     if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;

    267:     /* U part */
    268:     pv = b->a + bs2*(bdiag[i+1]+1);
    269:     pj = b->j + bdiag[i+1]+1;
    270:     nz = bdiag[i] - bdiag[i+1] - 1;
    271:     for (j=0; j<nz; j++) {
    272:       PetscArraycpy(pv+bs2*j,rtmp+bs2*pj[j],bs2);
    273:     }
    274:   }

    276:   PetscFree2(rtmp,mwork);
    277:   ISRestoreIndices(isicol,&ic);
    278:   ISRestoreIndices(isrow,&r);

    280:   C->ops->solve          = MatSolve_SeqBAIJ_4;
    281:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4;
    282:   C->assembled           = PETSC_TRUE;

    284:   PetscLogFlops(1.333333333333*4*4*4*n); /* from inverting diagonal blocks */
    285:   return 0;
    286: }

    288: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering_inplace(Mat C,Mat A,const MatFactorInfo *info)
    289: {
    290: /*
    291:     Default Version for when blocks are 4 by 4 Using natural ordering
    292: */
    293:   Mat_SeqBAIJ    *a = (Mat_SeqBAIJ*)A->data,*b = (Mat_SeqBAIJ*)C->data;
    294:   PetscInt       i,j,n = a->mbs,*bi = b->i,*bj = b->j;
    295:   PetscInt       *ajtmpold,*ajtmp,nz,row;
    296:   PetscInt       *diag_offset = b->diag,*ai=a->i,*aj=a->j,*pj;
    297:   MatScalar      *pv,*v,*rtmp,*pc,*w,*x;
    298:   MatScalar      p1,p2,p3,p4,m1,m2,m3,m4,m5,m6,m7,m8,m9,x1,x2,x3,x4;
    299:   MatScalar      p5,p6,p7,p8,p9,x5,x6,x7,x8,x9,x10,x11,x12,x13,x14,x15,x16;
    300:   MatScalar      p10,p11,p12,p13,p14,p15,p16,m10,m11,m12;
    301:   MatScalar      m13,m14,m15,m16;
    302:   MatScalar      *ba           = b->a,*aa = a->a;
    303:   PetscBool      pivotinblocks = b->pivotinblocks;
    304:   PetscReal      shift         = info->shiftamount;
    305:   PetscBool      allowzeropivot,zeropivotdetected=PETSC_FALSE;

    307:   allowzeropivot = PetscNot(A->erroriffailure);
    308:   PetscMalloc1(16*(n+1),&rtmp);

    310:   for (i=0; i<n; i++) {
    311:     nz    = bi[i+1] - bi[i];
    312:     ajtmp = bj + bi[i];
    313:     for  (j=0; j<nz; j++) {
    314:       x     = rtmp+16*ajtmp[j];
    315:       x[0]  = x[1]  = x[2]  = x[3]  = x[4]  = x[5]  = x[6] = x[7] = x[8] = x[9] = 0.0;
    316:       x[10] = x[11] = x[12] = x[13] = x[14] = x[15] = 0.0;
    317:     }
    318:     /* load in initial (unfactored row) */
    319:     nz       = ai[i+1] - ai[i];
    320:     ajtmpold = aj + ai[i];
    321:     v        = aa + 16*ai[i];
    322:     for (j=0; j<nz; j++) {
    323:       x     = rtmp+16*ajtmpold[j];
    324:       x[0]  = v[0];  x[1]  = v[1];  x[2]  = v[2];  x[3]  = v[3];
    325:       x[4]  = v[4];  x[5]  = v[5];  x[6]  = v[6];  x[7]  = v[7];  x[8]  = v[8];
    326:       x[9]  = v[9];  x[10] = v[10]; x[11] = v[11]; x[12] = v[12]; x[13] = v[13];
    327:       x[14] = v[14]; x[15] = v[15];
    328:       v    += 16;
    329:     }
    330:     row = *ajtmp++;
    331:     while (row < i) {
    332:       pc  = rtmp + 16*row;
    333:       p1  = pc[0];  p2  = pc[1];  p3  = pc[2];  p4  = pc[3];
    334:       p5  = pc[4];  p6  = pc[5];  p7  = pc[6];  p8  = pc[7];  p9  = pc[8];
    335:       p10 = pc[9];  p11 = pc[10]; p12 = pc[11]; p13 = pc[12]; p14 = pc[13];
    336:       p15 = pc[14]; p16 = pc[15];
    337:       if (p1 != 0.0 || p2 != 0.0 || p3 != 0.0 || p4 != 0.0 || p5 != 0.0 ||
    338:           p6 != 0.0 || p7 != 0.0 || p8 != 0.0 || p9 != 0.0 || p10 != 0.0 ||
    339:           p11 != 0.0 || p12 != 0.0 || p13 != 0.0 || p14 != 0.0 || p15 != 0.0
    340:           || p16 != 0.0) {
    341:         pv    = ba + 16*diag_offset[row];
    342:         pj    = bj + diag_offset[row] + 1;
    343:         x1    = pv[0];  x2  = pv[1];  x3  = pv[2];  x4  = pv[3];
    344:         x5    = pv[4];  x6  = pv[5];  x7  = pv[6];  x8  = pv[7];  x9  = pv[8];
    345:         x10   = pv[9];  x11 = pv[10]; x12 = pv[11]; x13 = pv[12]; x14 = pv[13];
    346:         x15   = pv[14]; x16 = pv[15];
    347:         pc[0] = m1 = p1*x1 + p5*x2  + p9*x3  + p13*x4;
    348:         pc[1] = m2 = p2*x1 + p6*x2  + p10*x3 + p14*x4;
    349:         pc[2] = m3 = p3*x1 + p7*x2  + p11*x3 + p15*x4;
    350:         pc[3] = m4 = p4*x1 + p8*x2  + p12*x3 + p16*x4;

    352:         pc[4] = m5 = p1*x5 + p5*x6  + p9*x7  + p13*x8;
    353:         pc[5] = m6 = p2*x5 + p6*x6  + p10*x7 + p14*x8;
    354:         pc[6] = m7 = p3*x5 + p7*x6  + p11*x7 + p15*x8;
    355:         pc[7] = m8 = p4*x5 + p8*x6  + p12*x7 + p16*x8;

    357:         pc[8]  = m9  = p1*x9 + p5*x10  + p9*x11  + p13*x12;
    358:         pc[9]  = m10 = p2*x9 + p6*x10  + p10*x11 + p14*x12;
    359:         pc[10] = m11 = p3*x9 + p7*x10  + p11*x11 + p15*x12;
    360:         pc[11] = m12 = p4*x9 + p8*x10  + p12*x11 + p16*x12;

    362:         pc[12] = m13 = p1*x13 + p5*x14  + p9*x15  + p13*x16;
    363:         pc[13] = m14 = p2*x13 + p6*x14  + p10*x15 + p14*x16;
    364:         pc[14] = m15 = p3*x13 + p7*x14  + p11*x15 + p15*x16;
    365:         pc[15] = m16 = p4*x13 + p8*x14  + p12*x15 + p16*x16;
    366:         nz     = bi[row+1] - diag_offset[row] - 1;
    367:         pv    += 16;
    368:         for (j=0; j<nz; j++) {
    369:           x1    = pv[0];  x2  = pv[1];   x3 = pv[2];  x4  = pv[3];
    370:           x5    = pv[4];  x6  = pv[5];   x7 = pv[6];  x8  = pv[7]; x9 = pv[8];
    371:           x10   = pv[9];  x11 = pv[10]; x12 = pv[11]; x13 = pv[12];
    372:           x14   = pv[13]; x15 = pv[14]; x16 = pv[15];
    373:           x     = rtmp + 16*pj[j];
    374:           x[0] -= m1*x1 + m5*x2  + m9*x3  + m13*x4;
    375:           x[1] -= m2*x1 + m6*x2  + m10*x3 + m14*x4;
    376:           x[2] -= m3*x1 + m7*x2  + m11*x3 + m15*x4;
    377:           x[3] -= m4*x1 + m8*x2  + m12*x3 + m16*x4;

    379:           x[4] -= m1*x5 + m5*x6  + m9*x7  + m13*x8;
    380:           x[5] -= m2*x5 + m6*x6  + m10*x7 + m14*x8;
    381:           x[6] -= m3*x5 + m7*x6  + m11*x7 + m15*x8;
    382:           x[7] -= m4*x5 + m8*x6  + m12*x7 + m16*x8;

    384:           x[8]  -= m1*x9 + m5*x10 + m9*x11  + m13*x12;
    385:           x[9]  -= m2*x9 + m6*x10 + m10*x11 + m14*x12;
    386:           x[10] -= m3*x9 + m7*x10 + m11*x11 + m15*x12;
    387:           x[11] -= m4*x9 + m8*x10 + m12*x11 + m16*x12;

    389:           x[12] -= m1*x13 + m5*x14  + m9*x15  + m13*x16;
    390:           x[13] -= m2*x13 + m6*x14  + m10*x15 + m14*x16;
    391:           x[14] -= m3*x13 + m7*x14  + m11*x15 + m15*x16;
    392:           x[15] -= m4*x13 + m8*x14  + m12*x15 + m16*x16;

    394:           pv += 16;
    395:         }
    396:         PetscLogFlops(128.0*nz+112.0);
    397:       }
    398:       row = *ajtmp++;
    399:     }
    400:     /* finished row so stick it into b->a */
    401:     pv = ba + 16*bi[i];
    402:     pj = bj + bi[i];
    403:     nz = bi[i+1] - bi[i];
    404:     for (j=0; j<nz; j++) {
    405:       x      = rtmp+16*pj[j];
    406:       pv[0]  = x[0];  pv[1]  = x[1];  pv[2]  = x[2];  pv[3]  = x[3];
    407:       pv[4]  = x[4];  pv[5]  = x[5];  pv[6]  = x[6];  pv[7]  = x[7]; pv[8] = x[8];
    408:       pv[9]  = x[9];  pv[10] = x[10]; pv[11] = x[11]; pv[12] = x[12];
    409:       pv[13] = x[13]; pv[14] = x[14]; pv[15] = x[15];
    410:       pv    += 16;
    411:     }
    412:     /* invert diagonal block */
    413:     w = ba + 16*diag_offset[i];
    414:     if (pivotinblocks) {
    415:       PetscKernel_A_gets_inverse_A_4(w,shift,allowzeropivot,&zeropivotdetected);
    416:       if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    417:     } else {
    418:       PetscKernel_A_gets_inverse_A_4_nopivot(w);
    419:     }
    420:   }

    422:   PetscFree(rtmp);

    424:   C->ops->solve          = MatSolve_SeqBAIJ_4_NaturalOrdering_inplace;
    425:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_NaturalOrdering_inplace;
    426:   C->assembled           = PETSC_TRUE;

    428:   PetscLogFlops(1.333333333333*4*4*4*b->mbs); /* from inverting diagonal blocks */
    429:   return 0;
    430: }

    432: /*
    433:   MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering -
    434:     copied from MatLUFactorNumeric_SeqBAIJ_3_NaturalOrdering_inplace()
    435: */
    436: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering(Mat B,Mat A,const MatFactorInfo *info)
    437: {
    438:   Mat            C =B;
    439:   Mat_SeqBAIJ    *a=(Mat_SeqBAIJ*)A->data,*b=(Mat_SeqBAIJ*)C->data;
    440:   PetscInt       i,j,k,nz,nzL,row;
    441:   const PetscInt n=a->mbs,*ai=a->i,*aj=a->j,*bi=b->i,*bj=b->j;
    442:   const PetscInt *ajtmp,*bjtmp,*bdiag=b->diag,*pj,bs2=a->bs2;
    443:   MatScalar      *rtmp,*pc,*mwork,*v,*pv,*aa=a->a;
    444:   PetscInt       flg;
    445:   PetscReal      shift;
    446:   PetscBool      allowzeropivot,zeropivotdetected;

    448:   allowzeropivot = PetscNot(A->erroriffailure);

    450:   /* generate work space needed by the factorization */
    451:   PetscMalloc2(bs2*n,&rtmp,bs2,&mwork);
    452:   PetscArrayzero(rtmp,bs2*n);

    454:   if (info->shifttype == MAT_SHIFT_NONE) {
    455:     shift = 0;
    456:   } else { /* info->shifttype == MAT_SHIFT_INBLOCKS */
    457:     shift = info->shiftamount;
    458:   }

    460:   for (i=0; i<n; i++) {
    461:     /* zero rtmp */
    462:     /* L part */
    463:     nz    = bi[i+1] - bi[i];
    464:     bjtmp = bj + bi[i];
    465:     for  (j=0; j<nz; j++) {
    466:       PetscArrayzero(rtmp+bs2*bjtmp[j],bs2);
    467:     }

    469:     /* U part */
    470:     nz    = bdiag[i] - bdiag[i+1];
    471:     bjtmp = bj + bdiag[i+1]+1;
    472:     for  (j=0; j<nz; j++) {
    473:       PetscArrayzero(rtmp+bs2*bjtmp[j],bs2);
    474:     }

    476:     /* load in initial (unfactored row) */
    477:     nz    = ai[i+1] - ai[i];
    478:     ajtmp = aj + ai[i];
    479:     v     = aa + bs2*ai[i];
    480:     for (j=0; j<nz; j++) {
    481:       PetscArraycpy(rtmp+bs2*ajtmp[j],v+bs2*j,bs2);
    482:     }

    484:     /* elimination */
    485:     bjtmp = bj + bi[i];
    486:     nzL   = bi[i+1] - bi[i];
    487:     for (k=0; k < nzL; k++) {
    488:       row = bjtmp[k];
    489:       pc  = rtmp + bs2*row;
    490:       for (flg=0,j=0; j<bs2; j++) {
    491:         if (pc[j]!=0.0) {
    492:           flg = 1;
    493:           break;
    494:         }
    495:       }
    496:       if (flg) {
    497:         pv = b->a + bs2*bdiag[row];
    498:         /* PetscKernel_A_gets_A_times_B(bs,pc,pv,mwork); *pc = *pc * (*pv); */
    499:         PetscKernel_A_gets_A_times_B_4(pc,pv,mwork);

    501:         pj = b->j + bdiag[row+1]+1; /* beginning of U(row,:) */
    502:         pv = b->a + bs2*(bdiag[row+1]+1);
    503:         nz = bdiag[row] - bdiag[row+1] - 1; /* num of entries inU(row,:), excluding diag */
    504:         for (j=0; j<nz; j++) {
    505:           /* PetscKernel_A_gets_A_minus_B_times_C(bs,rtmp+bs2*pj[j],pc,pv+bs2*j); */
    506:           /* rtmp+bs2*pj[j] = rtmp+bs2*pj[j] - (*pc)*(pv+bs2*j) */
    507:           v    = rtmp + bs2*pj[j];
    508:           PetscKernel_A_gets_A_minus_B_times_C_4(v,pc,pv);
    509:           pv  += bs2;
    510:         }
    511:         PetscLogFlops(128.0*nz+112); /* flops = 2*bs^3*nz + 2*bs^3 - bs2) */
    512:       }
    513:     }

    515:     /* finished row so stick it into b->a */
    516:     /* L part */
    517:     pv = b->a + bs2*bi[i];
    518:     pj = b->j + bi[i];
    519:     nz = bi[i+1] - bi[i];
    520:     for (j=0; j<nz; j++) {
    521:       PetscArraycpy(pv+bs2*j,rtmp+bs2*pj[j],bs2);
    522:     }

    524:     /* Mark diagonal and invert diagonal for simpler triangular solves */
    525:     pv   = b->a + bs2*bdiag[i];
    526:     pj   = b->j + bdiag[i];
    527:     PetscArraycpy(pv,rtmp+bs2*pj[0],bs2);
    528:     PetscKernel_A_gets_inverse_A_4(pv,shift,allowzeropivot,&zeropivotdetected);
    529:     if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;

    531:     /* U part */
    532:     pv = b->a + bs2*(bdiag[i+1]+1);
    533:     pj = b->j + bdiag[i+1]+1;
    534:     nz = bdiag[i] - bdiag[i+1] - 1;
    535:     for (j=0; j<nz; j++) {
    536:       PetscArraycpy(pv+bs2*j,rtmp+bs2*pj[j],bs2);
    537:     }
    538:   }
    539:   PetscFree2(rtmp,mwork);

    541:   C->ops->solve          = MatSolve_SeqBAIJ_4_NaturalOrdering;
    542:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_NaturalOrdering;
    543:   C->assembled           = PETSC_TRUE;

    545:   PetscLogFlops(1.333333333333*4*4*4*n); /* from inverting diagonal blocks */
    546:   return 0;
    547: }

    549: #if defined(PETSC_HAVE_SSE)

    551: #include PETSC_HAVE_SSE

    553: /* SSE Version for when blocks are 4 by 4 Using natural ordering */
    554: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering_SSE(Mat B,Mat A,const MatFactorInfo *info)
    555: {
    556:   Mat_SeqBAIJ    *a = (Mat_SeqBAIJ*)A->data,*b = (Mat_SeqBAIJ*)C->data;
    557:   int            i,j,n = a->mbs;
    558:   int            *bj = b->j,*bjtmp,*pj;
    559:   int            row;
    560:   int            *ajtmpold,nz,*bi=b->i;
    561:   int            *diag_offset = b->diag,*ai=a->i,*aj=a->j;
    562:   MatScalar      *pv,*v,*rtmp,*pc,*w,*x;
    563:   MatScalar      *ba    = b->a,*aa = a->a;
    564:   int            nonzero=0;
    565:   PetscBool      pivotinblocks = b->pivotinblocks;
    566:   PetscReal      shift         = info->shiftamount;
    567:   PetscBool      allowzeropivot,zeropivotdetected=PETSC_FALSE;

    569:   allowzeropivot = PetscNot(A->erroriffailure);
    570:   SSE_SCOPE_BEGIN;

    574:   PetscMalloc1(16*(n+1),&rtmp);
    576: /*    if ((unsigned long)bj==(unsigned long)aj) { */
    577: /*      colscale = 4; */
    578: /*    } */
    579:   for (i=0; i<n; i++) {
    580:     nz    = bi[i+1] - bi[i];
    581:     bjtmp = bj + bi[i];
    582:     /* zero out the 4x4 block accumulators */
    583:     /* zero out one register */
    584:     XOR_PS(XMM7,XMM7);
    585:     for  (j=0; j<nz; j++) {
    586:       x = rtmp+16*bjtmp[j];
    587: /*        x = rtmp+4*bjtmp[j]; */
    588:       SSE_INLINE_BEGIN_1(x)
    589:       /* Copy zero register to memory locations */
    590:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    591:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM7)
    592:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM7)
    593:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM7)
    594:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM7)
    595:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM7)
    596:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM7)
    597:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    598:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM7)
    599:       SSE_INLINE_END_1;
    600:     }
    601:     /* load in initial (unfactored row) */
    602:     nz       = ai[i+1] - ai[i];
    603:     ajtmpold = aj + ai[i];
    604:     v        = aa + 16*ai[i];
    605:     for (j=0; j<nz; j++) {
    606:       x = rtmp+16*ajtmpold[j];
    607: /*        x = rtmp+colscale*ajtmpold[j]; */
    608:       /* Copy v block into x block */
    609:       SSE_INLINE_BEGIN_2(v,x)
    610:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    611:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    612:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM0)

    614:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM1)
    615:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM1)

    617:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM2)
    618:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM2)

    620:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM3)
    621:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM3)

    623:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM4)
    624:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM4)

    626:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM5)
    627:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM5)

    629:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM6)
    630:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM6)

    632:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    633:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    634:       SSE_INLINE_END_2;

    636:       v += 16;
    637:     }
    638: /*      row = (*bjtmp++)/4; */
    639:     row = *bjtmp++;
    640:     while (row < i) {
    641:       pc = rtmp + 16*row;
    642:       SSE_INLINE_BEGIN_1(pc)
    643:       /* Load block from lower triangle */
    644:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    645:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    646:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM0)

    648:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM1)
    649:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM1)

    651:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM2)
    652:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM2)

    654:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM3)
    655:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM3)

    657:       /* Compare block to zero block */

    659:       SSE_COPY_PS(XMM4,XMM7)
    660:       SSE_CMPNEQ_PS(XMM4,XMM0)

    662:       SSE_COPY_PS(XMM5,XMM7)
    663:       SSE_CMPNEQ_PS(XMM5,XMM1)

    665:       SSE_COPY_PS(XMM6,XMM7)
    666:       SSE_CMPNEQ_PS(XMM6,XMM2)

    668:       SSE_CMPNEQ_PS(XMM7,XMM3)

    670:       /* Reduce the comparisons to one SSE register */
    671:       SSE_OR_PS(XMM6,XMM7)
    672:       SSE_OR_PS(XMM5,XMM4)
    673:       SSE_OR_PS(XMM5,XMM6)
    674:       SSE_INLINE_END_1;

    676:       /* Reduce the one SSE register to an integer register for branching */
    677:       /* Note: Since nonzero is an int, there is no INLINE block version of this call */
    678:       MOVEMASK(nonzero,XMM5);

    680:       /* If block is nonzero ... */
    681:       if (nonzero) {
    682:         pv = ba + 16*diag_offset[row];
    683:         PREFETCH_L1(&pv[16]);
    684:         pj = bj + diag_offset[row] + 1;

    686:         /* Form Multiplier, one column at a time (Matrix-Matrix Product) */
    687:         /* L_ij^(k+1) = L_ij^(k)*inv(L_jj^(k)) */
    688:         /* but the diagonal was inverted already */
    689:         /* and, L_ij^(k) is already loaded into registers XMM0-XMM3 columnwise */

    691:         SSE_INLINE_BEGIN_2(pv,pc)
    692:         /* Column 0, product is accumulated in XMM4 */
    693:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_0,XMM4)
    694:         SSE_SHUFFLE(XMM4,XMM4,0x00)
    695:         SSE_MULT_PS(XMM4,XMM0)

    697:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_1,XMM5)
    698:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    699:         SSE_MULT_PS(XMM5,XMM1)
    700:         SSE_ADD_PS(XMM4,XMM5)

    702:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_2,XMM6)
    703:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    704:         SSE_MULT_PS(XMM6,XMM2)
    705:         SSE_ADD_PS(XMM4,XMM6)

    707:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_3,XMM7)
    708:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    709:         SSE_MULT_PS(XMM7,XMM3)
    710:         SSE_ADD_PS(XMM4,XMM7)

    712:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM4)
    713:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM4)

    715:         /* Column 1, product is accumulated in XMM5 */
    716:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_4,XMM5)
    717:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    718:         SSE_MULT_PS(XMM5,XMM0)

    720:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_5,XMM6)
    721:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    722:         SSE_MULT_PS(XMM6,XMM1)
    723:         SSE_ADD_PS(XMM5,XMM6)

    725:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_6,XMM7)
    726:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    727:         SSE_MULT_PS(XMM7,XMM2)
    728:         SSE_ADD_PS(XMM5,XMM7)

    730:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_7,XMM6)
    731:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    732:         SSE_MULT_PS(XMM6,XMM3)
    733:         SSE_ADD_PS(XMM5,XMM6)

    735:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM5)
    736:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM5)

    738:         SSE_PREFETCH_L1(SSE_ARG_1,FLOAT_24)

    740:         /* Column 2, product is accumulated in XMM6 */
    741:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_8,XMM6)
    742:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    743:         SSE_MULT_PS(XMM6,XMM0)

    745:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_9,XMM7)
    746:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    747:         SSE_MULT_PS(XMM7,XMM1)
    748:         SSE_ADD_PS(XMM6,XMM7)

    750:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_10,XMM7)
    751:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    752:         SSE_MULT_PS(XMM7,XMM2)
    753:         SSE_ADD_PS(XMM6,XMM7)

    755:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_11,XMM7)
    756:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    757:         SSE_MULT_PS(XMM7,XMM3)
    758:         SSE_ADD_PS(XMM6,XMM7)

    760:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM6)
    761:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    763:         /* Note: For the last column, we no longer need to preserve XMM0->XMM3 */
    764:         /* Column 3, product is accumulated in XMM0 */
    765:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_12,XMM7)
    766:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    767:         SSE_MULT_PS(XMM0,XMM7)

    769:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_13,XMM7)
    770:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    771:         SSE_MULT_PS(XMM1,XMM7)
    772:         SSE_ADD_PS(XMM0,XMM1)

    774:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_14,XMM1)
    775:         SSE_SHUFFLE(XMM1,XMM1,0x00)
    776:         SSE_MULT_PS(XMM1,XMM2)
    777:         SSE_ADD_PS(XMM0,XMM1)

    779:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_15,XMM7)
    780:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    781:         SSE_MULT_PS(XMM3,XMM7)
    782:         SSE_ADD_PS(XMM0,XMM3)

    784:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM0)
    785:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)

    787:         /* Simplify Bookkeeping -- Completely Unnecessary Instructions */
    788:         /* This is code to be maintained and read by humans afterall. */
    789:         /* Copy Multiplier Col 3 into XMM3 */
    790:         SSE_COPY_PS(XMM3,XMM0)
    791:         /* Copy Multiplier Col 2 into XMM2 */
    792:         SSE_COPY_PS(XMM2,XMM6)
    793:         /* Copy Multiplier Col 1 into XMM1 */
    794:         SSE_COPY_PS(XMM1,XMM5)
    795:         /* Copy Multiplier Col 0 into XMM0 */
    796:         SSE_COPY_PS(XMM0,XMM4)
    797:         SSE_INLINE_END_2;

    799:         /* Update the row: */
    800:         nz  = bi[row+1] - diag_offset[row] - 1;
    801:         pv += 16;
    802:         for (j=0; j<nz; j++) {
    803:           PREFETCH_L1(&pv[16]);
    804:           x = rtmp + 16*pj[j];
    805: /*            x = rtmp + 4*pj[j]; */

    807:           /* X:=X-M*PV, One column at a time */
    808:           /* Note: M is already loaded columnwise into registers XMM0-XMM3 */
    809:           SSE_INLINE_BEGIN_2(x,pv)
    810:           /* Load First Column of X*/
    811:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    812:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    814:           /* Matrix-Vector Product: */
    815:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_0,XMM5)
    816:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    817:           SSE_MULT_PS(XMM5,XMM0)
    818:           SSE_SUB_PS(XMM4,XMM5)

    820:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_1,XMM6)
    821:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    822:           SSE_MULT_PS(XMM6,XMM1)
    823:           SSE_SUB_PS(XMM4,XMM6)

    825:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_2,XMM7)
    826:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    827:           SSE_MULT_PS(XMM7,XMM2)
    828:           SSE_SUB_PS(XMM4,XMM7)

    830:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_3,XMM5)
    831:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    832:           SSE_MULT_PS(XMM5,XMM3)
    833:           SSE_SUB_PS(XMM4,XMM5)

    835:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    836:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    838:           /* Second Column */
    839:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    840:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    842:           /* Matrix-Vector Product: */
    843:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_4,XMM6)
    844:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    845:           SSE_MULT_PS(XMM6,XMM0)
    846:           SSE_SUB_PS(XMM5,XMM6)

    848:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_5,XMM7)
    849:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    850:           SSE_MULT_PS(XMM7,XMM1)
    851:           SSE_SUB_PS(XMM5,XMM7)

    853:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_6,XMM4)
    854:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    855:           SSE_MULT_PS(XMM4,XMM2)
    856:           SSE_SUB_PS(XMM5,XMM4)

    858:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_7,XMM6)
    859:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    860:           SSE_MULT_PS(XMM6,XMM3)
    861:           SSE_SUB_PS(XMM5,XMM6)

    863:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    864:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    866:           SSE_PREFETCH_L1(SSE_ARG_2,FLOAT_24)

    868:           /* Third Column */
    869:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    870:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    872:           /* Matrix-Vector Product: */
    873:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_8,XMM7)
    874:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    875:           SSE_MULT_PS(XMM7,XMM0)
    876:           SSE_SUB_PS(XMM6,XMM7)

    878:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_9,XMM4)
    879:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    880:           SSE_MULT_PS(XMM4,XMM1)
    881:           SSE_SUB_PS(XMM6,XMM4)

    883:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_10,XMM5)
    884:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    885:           SSE_MULT_PS(XMM5,XMM2)
    886:           SSE_SUB_PS(XMM6,XMM5)

    888:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_11,XMM7)
    889:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    890:           SSE_MULT_PS(XMM7,XMM3)
    891:           SSE_SUB_PS(XMM6,XMM7)

    893:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    894:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    896:           /* Fourth Column */
    897:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    898:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM4)

    900:           /* Matrix-Vector Product: */
    901:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_12,XMM5)
    902:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    903:           SSE_MULT_PS(XMM5,XMM0)
    904:           SSE_SUB_PS(XMM4,XMM5)

    906:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_13,XMM6)
    907:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    908:           SSE_MULT_PS(XMM6,XMM1)
    909:           SSE_SUB_PS(XMM4,XMM6)

    911:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_14,XMM7)
    912:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    913:           SSE_MULT_PS(XMM7,XMM2)
    914:           SSE_SUB_PS(XMM4,XMM7)

    916:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_15,XMM5)
    917:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    918:           SSE_MULT_PS(XMM5,XMM3)
    919:           SSE_SUB_PS(XMM4,XMM5)

    921:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    922:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM4)
    923:           SSE_INLINE_END_2;
    924:           pv += 16;
    925:         }
    926:         PetscLogFlops(128.0*nz+112.0);
    927:       }
    928:       row = *bjtmp++;
    929: /*        row = (*bjtmp++)/4; */
    930:     }
    931:     /* finished row so stick it into b->a */
    932:     pv = ba + 16*bi[i];
    933:     pj = bj + bi[i];
    934:     nz = bi[i+1] - bi[i];

    936:     /* Copy x block back into pv block */
    937:     for (j=0; j<nz; j++) {
    938:       x = rtmp+16*pj[j];
    939: /*        x  = rtmp+4*pj[j]; */

    941:       SSE_INLINE_BEGIN_2(x,pv)
    942:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    943:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM1)
    944:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM1)

    946:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM2)
    947:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM2)

    949:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM3)
    950:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM3)

    952:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM4)
    953:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM4)

    955:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM5)
    956:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM5)

    958:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)
    959:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    961:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    962:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM7)

    964:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    965:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    966:       SSE_INLINE_END_2;
    967:       pv += 16;
    968:     }
    969:     /* invert diagonal block */
    970:     w = ba + 16*diag_offset[i];
    971:     if (pivotinblocks) {
    972:       PetscKernel_A_gets_inverse_A_4(w,shift,allowzeropivot,&zeropivotdetected);
    973:       if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    974:     } else {
    975:       PetscKernel_A_gets_inverse_A_4_nopivot(w);
    976:     }
    977: /*      PetscKernel_A_gets_inverse_A_4_SSE(w); */
    978:     /* Note: Using Kramer's rule, flop count below might be infairly high or low? */
    979:   }

    981:   PetscFree(rtmp);

    983:   C->ops->solve          = MatSolve_SeqBAIJ_4_NaturalOrdering_SSE;
    984:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_NaturalOrdering_SSE;
    985:   C->assembled           = PETSC_TRUE;

    987:   PetscLogFlops(1.333333333333*bs*bs2*b->mbs);
    988:   /* Flop Count from inverting diagonal blocks */
    989:   SSE_SCOPE_END;
    990:   return 0;
    991: }

    993: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering_SSE_usj_Inplace(Mat C)
    994: {
    995:   Mat            A  =C;
    996:   Mat_SeqBAIJ    *a = (Mat_SeqBAIJ*)A->data,*b = (Mat_SeqBAIJ*)C->data;
    997:   int            i,j,n = a->mbs;
    998:   unsigned short *bj = (unsigned short*)(b->j),*bjtmp,*pj;
    999:   unsigned short *aj = (unsigned short*)(a->j),*ajtmp;
    1000:   unsigned int   row;
    1001:   int            nz,*bi=b->i;
    1002:   int            *diag_offset = b->diag,*ai=a->i;
    1003:   MatScalar      *pv,*v,*rtmp,*pc,*w,*x;
    1004:   MatScalar      *ba    = b->a,*aa = a->a;
    1005:   int            nonzero=0;
    1006:   PetscBool      pivotinblocks = b->pivotinblocks;
    1007:   PetscReal      shift = info->shiftamount;
    1008:   PetscBool      allowzeropivot,zeropivotdetected=PETSC_FALSE;

    1010:   allowzeropivot = PetscNot(A->erroriffailure);
    1011:   SSE_SCOPE_BEGIN;

    1015:   PetscMalloc1(16*(n+1),&rtmp);
    1017: /*    if ((unsigned long)bj==(unsigned long)aj) { */
    1018: /*      colscale = 4; */
    1019: /*    } */

    1021:   for (i=0; i<n; i++) {
    1022:     nz    = bi[i+1] - bi[i];
    1023:     bjtmp = bj + bi[i];
    1024:     /* zero out the 4x4 block accumulators */
    1025:     /* zero out one register */
    1026:     XOR_PS(XMM7,XMM7);
    1027:     for  (j=0; j<nz; j++) {
    1028:       x = rtmp+16*((unsigned int)bjtmp[j]);
    1029: /*        x = rtmp+4*bjtmp[j]; */
    1030:       SSE_INLINE_BEGIN_1(x)
    1031:       /* Copy zero register to memory locations */
    1032:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1033:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM7)
    1034:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM7)
    1035:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM7)
    1036:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM7)
    1037:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM7)
    1038:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM7)
    1039:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    1040:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM7)
    1041:       SSE_INLINE_END_1;
    1042:     }
    1043:     /* load in initial (unfactored row) */
    1044:     nz    = ai[i+1] - ai[i];
    1045:     ajtmp = aj + ai[i];
    1046:     v     = aa + 16*ai[i];
    1047:     for (j=0; j<nz; j++) {
    1048:       x = rtmp+16*((unsigned int)ajtmp[j]);
    1049: /*        x = rtmp+colscale*ajtmp[j]; */
    1050:       /* Copy v block into x block */
    1051:       SSE_INLINE_BEGIN_2(v,x)
    1052:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1053:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    1054:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM0)

    1056:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM1)
    1057:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM1)

    1059:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM2)
    1060:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM2)

    1062:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM3)
    1063:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM3)

    1065:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM4)
    1066:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM4)

    1068:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM5)
    1069:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM5)

    1071:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM6)
    1072:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM6)

    1074:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    1075:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    1076:       SSE_INLINE_END_2;

    1078:       v += 16;
    1079:     }
    1080: /*      row = (*bjtmp++)/4; */
    1081:     row = (unsigned int)(*bjtmp++);
    1082:     while (row < i) {
    1083:       pc = rtmp + 16*row;
    1084:       SSE_INLINE_BEGIN_1(pc)
    1085:       /* Load block from lower triangle */
    1086:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1087:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    1088:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM0)

    1090:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM1)
    1091:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM1)

    1093:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM2)
    1094:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM2)

    1096:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM3)
    1097:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM3)

    1099:       /* Compare block to zero block */

    1101:       SSE_COPY_PS(XMM4,XMM7)
    1102:       SSE_CMPNEQ_PS(XMM4,XMM0)

    1104:       SSE_COPY_PS(XMM5,XMM7)
    1105:       SSE_CMPNEQ_PS(XMM5,XMM1)

    1107:       SSE_COPY_PS(XMM6,XMM7)
    1108:       SSE_CMPNEQ_PS(XMM6,XMM2)

    1110:       SSE_CMPNEQ_PS(XMM7,XMM3)

    1112:       /* Reduce the comparisons to one SSE register */
    1113:       SSE_OR_PS(XMM6,XMM7)
    1114:       SSE_OR_PS(XMM5,XMM4)
    1115:       SSE_OR_PS(XMM5,XMM6)
    1116:       SSE_INLINE_END_1;

    1118:       /* Reduce the one SSE register to an integer register for branching */
    1119:       /* Note: Since nonzero is an int, there is no INLINE block version of this call */
    1120:       MOVEMASK(nonzero,XMM5);

    1122:       /* If block is nonzero ... */
    1123:       if (nonzero) {
    1124:         pv = ba + 16*diag_offset[row];
    1125:         PREFETCH_L1(&pv[16]);
    1126:         pj = bj + diag_offset[row] + 1;

    1128:         /* Form Multiplier, one column at a time (Matrix-Matrix Product) */
    1129:         /* L_ij^(k+1) = L_ij^(k)*inv(L_jj^(k)) */
    1130:         /* but the diagonal was inverted already */
    1131:         /* and, L_ij^(k) is already loaded into registers XMM0-XMM3 columnwise */

    1133:         SSE_INLINE_BEGIN_2(pv,pc)
    1134:         /* Column 0, product is accumulated in XMM4 */
    1135:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_0,XMM4)
    1136:         SSE_SHUFFLE(XMM4,XMM4,0x00)
    1137:         SSE_MULT_PS(XMM4,XMM0)

    1139:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_1,XMM5)
    1140:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    1141:         SSE_MULT_PS(XMM5,XMM1)
    1142:         SSE_ADD_PS(XMM4,XMM5)

    1144:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_2,XMM6)
    1145:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1146:         SSE_MULT_PS(XMM6,XMM2)
    1147:         SSE_ADD_PS(XMM4,XMM6)

    1149:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_3,XMM7)
    1150:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1151:         SSE_MULT_PS(XMM7,XMM3)
    1152:         SSE_ADD_PS(XMM4,XMM7)

    1154:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM4)
    1155:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM4)

    1157:         /* Column 1, product is accumulated in XMM5 */
    1158:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_4,XMM5)
    1159:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    1160:         SSE_MULT_PS(XMM5,XMM0)

    1162:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_5,XMM6)
    1163:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1164:         SSE_MULT_PS(XMM6,XMM1)
    1165:         SSE_ADD_PS(XMM5,XMM6)

    1167:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_6,XMM7)
    1168:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1169:         SSE_MULT_PS(XMM7,XMM2)
    1170:         SSE_ADD_PS(XMM5,XMM7)

    1172:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_7,XMM6)
    1173:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1174:         SSE_MULT_PS(XMM6,XMM3)
    1175:         SSE_ADD_PS(XMM5,XMM6)

    1177:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM5)
    1178:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM5)

    1180:         SSE_PREFETCH_L1(SSE_ARG_1,FLOAT_24)

    1182:         /* Column 2, product is accumulated in XMM6 */
    1183:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_8,XMM6)
    1184:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1185:         SSE_MULT_PS(XMM6,XMM0)

    1187:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_9,XMM7)
    1188:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1189:         SSE_MULT_PS(XMM7,XMM1)
    1190:         SSE_ADD_PS(XMM6,XMM7)

    1192:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_10,XMM7)
    1193:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1194:         SSE_MULT_PS(XMM7,XMM2)
    1195:         SSE_ADD_PS(XMM6,XMM7)

    1197:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_11,XMM7)
    1198:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1199:         SSE_MULT_PS(XMM7,XMM3)
    1200:         SSE_ADD_PS(XMM6,XMM7)

    1202:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM6)
    1203:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    1205:         /* Note: For the last column, we no longer need to preserve XMM0->XMM3 */
    1206:         /* Column 3, product is accumulated in XMM0 */
    1207:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_12,XMM7)
    1208:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1209:         SSE_MULT_PS(XMM0,XMM7)

    1211:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_13,XMM7)
    1212:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1213:         SSE_MULT_PS(XMM1,XMM7)
    1214:         SSE_ADD_PS(XMM0,XMM1)

    1216:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_14,XMM1)
    1217:         SSE_SHUFFLE(XMM1,XMM1,0x00)
    1218:         SSE_MULT_PS(XMM1,XMM2)
    1219:         SSE_ADD_PS(XMM0,XMM1)

    1221:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_15,XMM7)
    1222:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1223:         SSE_MULT_PS(XMM3,XMM7)
    1224:         SSE_ADD_PS(XMM0,XMM3)

    1226:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM0)
    1227:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)

    1229:         /* Simplify Bookkeeping -- Completely Unnecessary Instructions */
    1230:         /* This is code to be maintained and read by humans afterall. */
    1231:         /* Copy Multiplier Col 3 into XMM3 */
    1232:         SSE_COPY_PS(XMM3,XMM0)
    1233:         /* Copy Multiplier Col 2 into XMM2 */
    1234:         SSE_COPY_PS(XMM2,XMM6)
    1235:         /* Copy Multiplier Col 1 into XMM1 */
    1236:         SSE_COPY_PS(XMM1,XMM5)
    1237:         /* Copy Multiplier Col 0 into XMM0 */
    1238:         SSE_COPY_PS(XMM0,XMM4)
    1239:         SSE_INLINE_END_2;

    1241:         /* Update the row: */
    1242:         nz  = bi[row+1] - diag_offset[row] - 1;
    1243:         pv += 16;
    1244:         for (j=0; j<nz; j++) {
    1245:           PREFETCH_L1(&pv[16]);
    1246:           x = rtmp + 16*((unsigned int)pj[j]);
    1247: /*            x = rtmp + 4*pj[j]; */

    1249:           /* X:=X-M*PV, One column at a time */
    1250:           /* Note: M is already loaded columnwise into registers XMM0-XMM3 */
    1251:           SSE_INLINE_BEGIN_2(x,pv)
    1252:           /* Load First Column of X*/
    1253:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    1254:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    1256:           /* Matrix-Vector Product: */
    1257:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_0,XMM5)
    1258:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1259:           SSE_MULT_PS(XMM5,XMM0)
    1260:           SSE_SUB_PS(XMM4,XMM5)

    1262:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_1,XMM6)
    1263:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1264:           SSE_MULT_PS(XMM6,XMM1)
    1265:           SSE_SUB_PS(XMM4,XMM6)

    1267:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_2,XMM7)
    1268:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1269:           SSE_MULT_PS(XMM7,XMM2)
    1270:           SSE_SUB_PS(XMM4,XMM7)

    1272:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_3,XMM5)
    1273:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1274:           SSE_MULT_PS(XMM5,XMM3)
    1275:           SSE_SUB_PS(XMM4,XMM5)

    1277:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    1278:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    1280:           /* Second Column */
    1281:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    1282:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    1284:           /* Matrix-Vector Product: */
    1285:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_4,XMM6)
    1286:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1287:           SSE_MULT_PS(XMM6,XMM0)
    1288:           SSE_SUB_PS(XMM5,XMM6)

    1290:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_5,XMM7)
    1291:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1292:           SSE_MULT_PS(XMM7,XMM1)
    1293:           SSE_SUB_PS(XMM5,XMM7)

    1295:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_6,XMM4)
    1296:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    1297:           SSE_MULT_PS(XMM4,XMM2)
    1298:           SSE_SUB_PS(XMM5,XMM4)

    1300:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_7,XMM6)
    1301:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1302:           SSE_MULT_PS(XMM6,XMM3)
    1303:           SSE_SUB_PS(XMM5,XMM6)

    1305:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    1306:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    1308:           SSE_PREFETCH_L1(SSE_ARG_2,FLOAT_24)

    1310:           /* Third Column */
    1311:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    1312:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    1314:           /* Matrix-Vector Product: */
    1315:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_8,XMM7)
    1316:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1317:           SSE_MULT_PS(XMM7,XMM0)
    1318:           SSE_SUB_PS(XMM6,XMM7)

    1320:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_9,XMM4)
    1321:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    1322:           SSE_MULT_PS(XMM4,XMM1)
    1323:           SSE_SUB_PS(XMM6,XMM4)

    1325:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_10,XMM5)
    1326:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1327:           SSE_MULT_PS(XMM5,XMM2)
    1328:           SSE_SUB_PS(XMM6,XMM5)

    1330:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_11,XMM7)
    1331:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1332:           SSE_MULT_PS(XMM7,XMM3)
    1333:           SSE_SUB_PS(XMM6,XMM7)

    1335:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    1336:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    1338:           /* Fourth Column */
    1339:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    1340:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM4)

    1342:           /* Matrix-Vector Product: */
    1343:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_12,XMM5)
    1344:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1345:           SSE_MULT_PS(XMM5,XMM0)
    1346:           SSE_SUB_PS(XMM4,XMM5)

    1348:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_13,XMM6)
    1349:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1350:           SSE_MULT_PS(XMM6,XMM1)
    1351:           SSE_SUB_PS(XMM4,XMM6)

    1353:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_14,XMM7)
    1354:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1355:           SSE_MULT_PS(XMM7,XMM2)
    1356:           SSE_SUB_PS(XMM4,XMM7)

    1358:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_15,XMM5)
    1359:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1360:           SSE_MULT_PS(XMM5,XMM3)
    1361:           SSE_SUB_PS(XMM4,XMM5)

    1363:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    1364:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM4)
    1365:           SSE_INLINE_END_2;
    1366:           pv += 16;
    1367:         }
    1368:         PetscLogFlops(128.0*nz+112.0);
    1369:       }
    1370:       row = (unsigned int)(*bjtmp++);
    1371: /*        row = (*bjtmp++)/4; */
    1372: /*        bjtmp++; */
    1373:     }
    1374:     /* finished row so stick it into b->a */
    1375:     pv = ba + 16*bi[i];
    1376:     pj = bj + bi[i];
    1377:     nz = bi[i+1] - bi[i];

    1379:     /* Copy x block back into pv block */
    1380:     for (j=0; j<nz; j++) {
    1381:       x = rtmp+16*((unsigned int)pj[j]);
    1382: /*        x  = rtmp+4*pj[j]; */

    1384:       SSE_INLINE_BEGIN_2(x,pv)
    1385:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1386:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM1)
    1387:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM1)

    1389:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM2)
    1390:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM2)

    1392:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM3)
    1393:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM3)

    1395:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM4)
    1396:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM4)

    1398:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM5)
    1399:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM5)

    1401:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)
    1402:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    1404:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    1405:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM7)

    1407:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    1408:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    1409:       SSE_INLINE_END_2;
    1410:       pv += 16;
    1411:     }
    1412:     /* invert diagonal block */
    1413:     w = ba + 16*diag_offset[i];
    1414:     if (pivotinblocks) {
    1415:       PetscKernel_A_gets_inverse_A_4(w,shift,allowzeropivot,&zeropivotdetected);
    1416:       if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    1417:     } else {
    1418:       PetscKernel_A_gets_inverse_A_4_nopivot(w);
    1419:     }
    1420:     /* Note: Using Kramer's rule, flop count below might be infairly high or low? */
    1421:   }

    1423:   PetscFree(rtmp);

    1425:   C->ops->solve          = MatSolve_SeqBAIJ_4_NaturalOrdering_SSE;
    1426:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_NaturalOrdering_SSE;
    1427:   C->assembled           = PETSC_TRUE;

    1429:   PetscLogFlops(1.333333333333*bs*bs2*b->mbs);
    1430:   /* Flop Count from inverting diagonal blocks */
    1431:   SSE_SCOPE_END;
    1432:   return 0;
    1433: }

    1435: PetscErrorCode MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering_SSE_usj(Mat C,Mat A,const MatFactorInfo *info)
    1436: {
    1437:   Mat_SeqBAIJ    *a = (Mat_SeqBAIJ*)A->data,*b = (Mat_SeqBAIJ*)C->data;
    1438:   int            i,j,n = a->mbs;
    1439:   unsigned short *bj = (unsigned short*)(b->j),*bjtmp,*pj;
    1440:   unsigned int   row;
    1441:   int            *ajtmpold,nz,*bi=b->i;
    1442:   int            *diag_offset = b->diag,*ai=a->i,*aj=a->j;
    1443:   MatScalar      *pv,*v,*rtmp,*pc,*w,*x;
    1444:   MatScalar      *ba    = b->a,*aa = a->a;
    1445:   int            nonzero=0;
    1446:   PetscBool      pivotinblocks = b->pivotinblocks;
    1447:   PetscReal      shift = info->shiftamount;
    1448:   PetscBool      allowzeropivot,zeropivotdetected=PETSC_FALSE;

    1450:   allowzeropivot = PetscNot(A->erroriffailure);
    1451:   SSE_SCOPE_BEGIN;

    1455:   PetscMalloc1(16*(n+1),&rtmp);
    1457: /*    if ((unsigned long)bj==(unsigned long)aj) { */
    1458: /*      colscale = 4; */
    1459: /*    } */
    1460:   if ((unsigned long)bj==(unsigned long)aj) {
    1461:     return(MatLUFactorNumeric_SeqBAIJ_4_NaturalOrdering_SSE_usj_Inplace(C));
    1462:   }

    1464:   for (i=0; i<n; i++) {
    1465:     nz    = bi[i+1] - bi[i];
    1466:     bjtmp = bj + bi[i];
    1467:     /* zero out the 4x4 block accumulators */
    1468:     /* zero out one register */
    1469:     XOR_PS(XMM7,XMM7);
    1470:     for  (j=0; j<nz; j++) {
    1471:       x = rtmp+16*((unsigned int)bjtmp[j]);
    1472: /*        x = rtmp+4*bjtmp[j]; */
    1473:       SSE_INLINE_BEGIN_1(x)
    1474:       /* Copy zero register to memory locations */
    1475:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1476:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM7)
    1477:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM7)
    1478:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM7)
    1479:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM7)
    1480:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM7)
    1481:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM7)
    1482:       SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    1483:       SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM7)
    1484:       SSE_INLINE_END_1;
    1485:     }
    1486:     /* load in initial (unfactored row) */
    1487:     nz       = ai[i+1] - ai[i];
    1488:     ajtmpold = aj + ai[i];
    1489:     v        = aa + 16*ai[i];
    1490:     for (j=0; j<nz; j++) {
    1491:       x = rtmp+16*ajtmpold[j];
    1492: /*        x = rtmp+colscale*ajtmpold[j]; */
    1493:       /* Copy v block into x block */
    1494:       SSE_INLINE_BEGIN_2(v,x)
    1495:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1496:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    1497:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM0)

    1499:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM1)
    1500:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM1)

    1502:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM2)
    1503:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM2)

    1505:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM3)
    1506:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM3)

    1508:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM4)
    1509:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM4)

    1511:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM5)
    1512:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM5)

    1514:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM6)
    1515:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM6)

    1517:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    1518:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    1519:       SSE_INLINE_END_2;

    1521:       v += 16;
    1522:     }
    1523: /*      row = (*bjtmp++)/4; */
    1524:     row = (unsigned int)(*bjtmp++);
    1525:     while (row < i) {
    1526:       pc = rtmp + 16*row;
    1527:       SSE_INLINE_BEGIN_1(pc)
    1528:       /* Load block from lower triangle */
    1529:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1530:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM0)
    1531:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM0)

    1533:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM1)
    1534:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM1)

    1536:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM2)
    1537:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM2)

    1539:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM3)
    1540:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM3)

    1542:       /* Compare block to zero block */

    1544:       SSE_COPY_PS(XMM4,XMM7)
    1545:       SSE_CMPNEQ_PS(XMM4,XMM0)

    1547:       SSE_COPY_PS(XMM5,XMM7)
    1548:       SSE_CMPNEQ_PS(XMM5,XMM1)

    1550:       SSE_COPY_PS(XMM6,XMM7)
    1551:       SSE_CMPNEQ_PS(XMM6,XMM2)

    1553:       SSE_CMPNEQ_PS(XMM7,XMM3)

    1555:       /* Reduce the comparisons to one SSE register */
    1556:       SSE_OR_PS(XMM6,XMM7)
    1557:       SSE_OR_PS(XMM5,XMM4)
    1558:       SSE_OR_PS(XMM5,XMM6)
    1559:       SSE_INLINE_END_1;

    1561:       /* Reduce the one SSE register to an integer register for branching */
    1562:       /* Note: Since nonzero is an int, there is no INLINE block version of this call */
    1563:       MOVEMASK(nonzero,XMM5);

    1565:       /* If block is nonzero ... */
    1566:       if (nonzero) {
    1567:         pv = ba + 16*diag_offset[row];
    1568:         PREFETCH_L1(&pv[16]);
    1569:         pj = bj + diag_offset[row] + 1;

    1571:         /* Form Multiplier, one column at a time (Matrix-Matrix Product) */
    1572:         /* L_ij^(k+1) = L_ij^(k)*inv(L_jj^(k)) */
    1573:         /* but the diagonal was inverted already */
    1574:         /* and, L_ij^(k) is already loaded into registers XMM0-XMM3 columnwise */

    1576:         SSE_INLINE_BEGIN_2(pv,pc)
    1577:         /* Column 0, product is accumulated in XMM4 */
    1578:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_0,XMM4)
    1579:         SSE_SHUFFLE(XMM4,XMM4,0x00)
    1580:         SSE_MULT_PS(XMM4,XMM0)

    1582:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_1,XMM5)
    1583:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    1584:         SSE_MULT_PS(XMM5,XMM1)
    1585:         SSE_ADD_PS(XMM4,XMM5)

    1587:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_2,XMM6)
    1588:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1589:         SSE_MULT_PS(XMM6,XMM2)
    1590:         SSE_ADD_PS(XMM4,XMM6)

    1592:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_3,XMM7)
    1593:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1594:         SSE_MULT_PS(XMM7,XMM3)
    1595:         SSE_ADD_PS(XMM4,XMM7)

    1597:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM4)
    1598:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM4)

    1600:         /* Column 1, product is accumulated in XMM5 */
    1601:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_4,XMM5)
    1602:         SSE_SHUFFLE(XMM5,XMM5,0x00)
    1603:         SSE_MULT_PS(XMM5,XMM0)

    1605:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_5,XMM6)
    1606:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1607:         SSE_MULT_PS(XMM6,XMM1)
    1608:         SSE_ADD_PS(XMM5,XMM6)

    1610:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_6,XMM7)
    1611:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1612:         SSE_MULT_PS(XMM7,XMM2)
    1613:         SSE_ADD_PS(XMM5,XMM7)

    1615:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_7,XMM6)
    1616:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1617:         SSE_MULT_PS(XMM6,XMM3)
    1618:         SSE_ADD_PS(XMM5,XMM6)

    1620:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM5)
    1621:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM5)

    1623:         SSE_PREFETCH_L1(SSE_ARG_1,FLOAT_24)

    1625:         /* Column 2, product is accumulated in XMM6 */
    1626:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_8,XMM6)
    1627:         SSE_SHUFFLE(XMM6,XMM6,0x00)
    1628:         SSE_MULT_PS(XMM6,XMM0)

    1630:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_9,XMM7)
    1631:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1632:         SSE_MULT_PS(XMM7,XMM1)
    1633:         SSE_ADD_PS(XMM6,XMM7)

    1635:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_10,XMM7)
    1636:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1637:         SSE_MULT_PS(XMM7,XMM2)
    1638:         SSE_ADD_PS(XMM6,XMM7)

    1640:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_11,XMM7)
    1641:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1642:         SSE_MULT_PS(XMM7,XMM3)
    1643:         SSE_ADD_PS(XMM6,XMM7)

    1645:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM6)
    1646:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    1648:         /* Note: For the last column, we no longer need to preserve XMM0->XMM3 */
    1649:         /* Column 3, product is accumulated in XMM0 */
    1650:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_12,XMM7)
    1651:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1652:         SSE_MULT_PS(XMM0,XMM7)

    1654:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_13,XMM7)
    1655:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1656:         SSE_MULT_PS(XMM1,XMM7)
    1657:         SSE_ADD_PS(XMM0,XMM1)

    1659:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_14,XMM1)
    1660:         SSE_SHUFFLE(XMM1,XMM1,0x00)
    1661:         SSE_MULT_PS(XMM1,XMM2)
    1662:         SSE_ADD_PS(XMM0,XMM1)

    1664:         SSE_LOAD_SS(SSE_ARG_1,FLOAT_15,XMM7)
    1665:         SSE_SHUFFLE(XMM7,XMM7,0x00)
    1666:         SSE_MULT_PS(XMM3,XMM7)
    1667:         SSE_ADD_PS(XMM0,XMM3)

    1669:         SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM0)
    1670:         SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)

    1672:         /* Simplify Bookkeeping -- Completely Unnecessary Instructions */
    1673:         /* This is code to be maintained and read by humans afterall. */
    1674:         /* Copy Multiplier Col 3 into XMM3 */
    1675:         SSE_COPY_PS(XMM3,XMM0)
    1676:         /* Copy Multiplier Col 2 into XMM2 */
    1677:         SSE_COPY_PS(XMM2,XMM6)
    1678:         /* Copy Multiplier Col 1 into XMM1 */
    1679:         SSE_COPY_PS(XMM1,XMM5)
    1680:         /* Copy Multiplier Col 0 into XMM0 */
    1681:         SSE_COPY_PS(XMM0,XMM4)
    1682:         SSE_INLINE_END_2;

    1684:         /* Update the row: */
    1685:         nz  = bi[row+1] - diag_offset[row] - 1;
    1686:         pv += 16;
    1687:         for (j=0; j<nz; j++) {
    1688:           PREFETCH_L1(&pv[16]);
    1689:           x = rtmp + 16*((unsigned int)pj[j]);
    1690: /*            x = rtmp + 4*pj[j]; */

    1692:           /* X:=X-M*PV, One column at a time */
    1693:           /* Note: M is already loaded columnwise into registers XMM0-XMM3 */
    1694:           SSE_INLINE_BEGIN_2(x,pv)
    1695:           /* Load First Column of X*/
    1696:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    1697:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    1699:           /* Matrix-Vector Product: */
    1700:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_0,XMM5)
    1701:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1702:           SSE_MULT_PS(XMM5,XMM0)
    1703:           SSE_SUB_PS(XMM4,XMM5)

    1705:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_1,XMM6)
    1706:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1707:           SSE_MULT_PS(XMM6,XMM1)
    1708:           SSE_SUB_PS(XMM4,XMM6)

    1710:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_2,XMM7)
    1711:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1712:           SSE_MULT_PS(XMM7,XMM2)
    1713:           SSE_SUB_PS(XMM4,XMM7)

    1715:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_3,XMM5)
    1716:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1717:           SSE_MULT_PS(XMM5,XMM3)
    1718:           SSE_SUB_PS(XMM4,XMM5)

    1720:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_0,XMM4)
    1721:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_2,XMM4)

    1723:           /* Second Column */
    1724:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    1725:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    1727:           /* Matrix-Vector Product: */
    1728:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_4,XMM6)
    1729:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1730:           SSE_MULT_PS(XMM6,XMM0)
    1731:           SSE_SUB_PS(XMM5,XMM6)

    1733:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_5,XMM7)
    1734:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1735:           SSE_MULT_PS(XMM7,XMM1)
    1736:           SSE_SUB_PS(XMM5,XMM7)

    1738:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_6,XMM4)
    1739:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    1740:           SSE_MULT_PS(XMM4,XMM2)
    1741:           SSE_SUB_PS(XMM5,XMM4)

    1743:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_7,XMM6)
    1744:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1745:           SSE_MULT_PS(XMM6,XMM3)
    1746:           SSE_SUB_PS(XMM5,XMM6)

    1748:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_4,XMM5)
    1749:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_6,XMM5)

    1751:           SSE_PREFETCH_L1(SSE_ARG_2,FLOAT_24)

    1753:           /* Third Column */
    1754:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    1755:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    1757:           /* Matrix-Vector Product: */
    1758:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_8,XMM7)
    1759:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1760:           SSE_MULT_PS(XMM7,XMM0)
    1761:           SSE_SUB_PS(XMM6,XMM7)

    1763:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_9,XMM4)
    1764:           SSE_SHUFFLE(XMM4,XMM4,0x00)
    1765:           SSE_MULT_PS(XMM4,XMM1)
    1766:           SSE_SUB_PS(XMM6,XMM4)

    1768:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_10,XMM5)
    1769:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1770:           SSE_MULT_PS(XMM5,XMM2)
    1771:           SSE_SUB_PS(XMM6,XMM5)

    1773:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_11,XMM7)
    1774:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1775:           SSE_MULT_PS(XMM7,XMM3)
    1776:           SSE_SUB_PS(XMM6,XMM7)

    1778:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_8,XMM6)
    1779:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_10,XMM6)

    1781:           /* Fourth Column */
    1782:           SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    1783:           SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM4)

    1785:           /* Matrix-Vector Product: */
    1786:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_12,XMM5)
    1787:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1788:           SSE_MULT_PS(XMM5,XMM0)
    1789:           SSE_SUB_PS(XMM4,XMM5)

    1791:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_13,XMM6)
    1792:           SSE_SHUFFLE(XMM6,XMM6,0x00)
    1793:           SSE_MULT_PS(XMM6,XMM1)
    1794:           SSE_SUB_PS(XMM4,XMM6)

    1796:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_14,XMM7)
    1797:           SSE_SHUFFLE(XMM7,XMM7,0x00)
    1798:           SSE_MULT_PS(XMM7,XMM2)
    1799:           SSE_SUB_PS(XMM4,XMM7)

    1801:           SSE_LOAD_SS(SSE_ARG_2,FLOAT_15,XMM5)
    1802:           SSE_SHUFFLE(XMM5,XMM5,0x00)
    1803:           SSE_MULT_PS(XMM5,XMM3)
    1804:           SSE_SUB_PS(XMM4,XMM5)

    1806:           SSE_STOREL_PS(SSE_ARG_1,FLOAT_12,XMM4)
    1807:           SSE_STOREH_PS(SSE_ARG_1,FLOAT_14,XMM4)
    1808:           SSE_INLINE_END_2;
    1809:           pv += 16;
    1810:         }
    1811:         PetscLogFlops(128.0*nz+112.0);
    1812:       }
    1813:       row = (unsigned int)(*bjtmp++);
    1814: /*        row = (*bjtmp++)/4; */
    1815: /*        bjtmp++; */
    1816:     }
    1817:     /* finished row so stick it into b->a */
    1818:     pv = ba + 16*bi[i];
    1819:     pj = bj + bi[i];
    1820:     nz = bi[i+1] - bi[i];

    1822:     /* Copy x block back into pv block */
    1823:     for (j=0; j<nz; j++) {
    1824:       x = rtmp+16*((unsigned int)pj[j]);
    1825: /*        x  = rtmp+4*pj[j]; */

    1827:       SSE_INLINE_BEGIN_2(x,pv)
    1828:       /* Note: on future SSE architectures, STORE might be more efficient than STOREL/H */
    1829:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_0,XMM1)
    1830:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_0,XMM1)

    1832:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_2,XMM2)
    1833:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_2,XMM2)

    1835:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_4,XMM3)
    1836:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_4,XMM3)

    1838:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_6,XMM4)
    1839:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_6,XMM4)

    1841:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_8,XMM5)
    1842:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_8,XMM5)

    1844:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_10,XMM6)
    1845:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_10,XMM6)

    1847:       SSE_LOADL_PS(SSE_ARG_1,FLOAT_12,XMM7)
    1848:       SSE_STOREL_PS(SSE_ARG_2,FLOAT_12,XMM7)

    1850:       SSE_LOADH_PS(SSE_ARG_1,FLOAT_14,XMM0)
    1851:       SSE_STOREH_PS(SSE_ARG_2,FLOAT_14,XMM0)
    1852:       SSE_INLINE_END_2;
    1853:       pv += 16;
    1854:     }
    1855:     /* invert diagonal block */
    1856:     w = ba + 16*diag_offset[i];
    1857:     if (pivotinblocks) {
    1858:       PetscKernel_A_gets_inverse_A_4(w,shift,allowzeropivot,,&zeropivotdetected);
    1859:       if (zeropivotdetected) C->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT;
    1860:     } else {
    1861:       PetscKernel_A_gets_inverse_A_4_nopivot(w);
    1862:     }
    1863: /*      PetscKernel_A_gets_inverse_A_4_SSE(w); */
    1864:     /* Note: Using Kramer's rule, flop count below might be infairly high or low? */
    1865:   }

    1867:   PetscFree(rtmp);

    1869:   C->ops->solve          = MatSolve_SeqBAIJ_4_NaturalOrdering_SSE;
    1870:   C->ops->solvetranspose = MatSolveTranspose_SeqBAIJ_4_NaturalOrdering_SSE;
    1871:   C->assembled           = PETSC_TRUE;

    1873:   PetscLogFlops(1.333333333333*bs*bs2*b->mbs);
    1874:   /* Flop Count from inverting diagonal blocks */
    1875:   SSE_SCOPE_END;
    1876:   return 0;
    1877: }

    1879: #endif