1 #include <../src/mat/impls/baij/seq/baij.h> 2 #include <petsc/private/kernels/blockinvert.h> 3 4 /* bs = 15 for PFLOTRAN. Block operations are done by accessing all the columns of the block at once */ 5 6 PetscErrorCode MatSolve_SeqBAIJ_15_NaturalOrdering_ver2(Mat A, Vec bb, Vec xx) { 7 Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; 8 const PetscInt n = a->mbs, *ai = a->i, *aj = a->j, *adiag = a->diag, *vi, bs = A->rmap->bs, bs2 = a->bs2; 9 PetscInt i, nz, idx, idt, m; 10 const MatScalar *aa = a->a, *v; 11 PetscScalar s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12, s13, s14, s15; 12 PetscScalar x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, x14, x15; 13 PetscScalar *x; 14 const PetscScalar *b; 15 16 PetscFunctionBegin; 17 PetscCall(VecGetArrayRead(bb, &b)); 18 PetscCall(VecGetArray(xx, &x)); 19 20 /* forward solve the lower triangular */ 21 idx = 0; 22 x[0] = b[idx]; 23 x[1] = b[1 + idx]; 24 x[2] = b[2 + idx]; 25 x[3] = b[3 + idx]; 26 x[4] = b[4 + idx]; 27 x[5] = b[5 + idx]; 28 x[6] = b[6 + idx]; 29 x[7] = b[7 + idx]; 30 x[8] = b[8 + idx]; 31 x[9] = b[9 + idx]; 32 x[10] = b[10 + idx]; 33 x[11] = b[11 + idx]; 34 x[12] = b[12 + idx]; 35 x[13] = b[13 + idx]; 36 x[14] = b[14 + idx]; 37 38 for (i = 1; i < n; i++) { 39 v = aa + bs2 * ai[i]; 40 vi = aj + ai[i]; 41 nz = ai[i + 1] - ai[i]; 42 idt = bs * i; 43 s1 = b[idt]; 44 s2 = b[1 + idt]; 45 s3 = b[2 + idt]; 46 s4 = b[3 + idt]; 47 s5 = b[4 + idt]; 48 s6 = b[5 + idt]; 49 s7 = b[6 + idt]; 50 s8 = b[7 + idt]; 51 s9 = b[8 + idt]; 52 s10 = b[9 + idt]; 53 s11 = b[10 + idt]; 54 s12 = b[11 + idt]; 55 s13 = b[12 + idt]; 56 s14 = b[13 + idt]; 57 s15 = b[14 + idt]; 58 for (m = 0; m < nz; m++) { 59 idx = bs * vi[m]; 60 x1 = x[idx]; 61 x2 = x[1 + idx]; 62 x3 = x[2 + idx]; 63 x4 = x[3 + idx]; 64 x5 = x[4 + idx]; 65 x6 = x[5 + idx]; 66 x7 = x[6 + idx]; 67 x8 = x[7 + idx]; 68 x9 = x[8 + idx]; 69 x10 = x[9 + idx]; 70 x11 = x[10 + idx]; 71 x12 = x[11 + idx]; 72 x13 = x[12 + idx]; 73 x14 = x[13 + idx]; 74 x15 = x[14 + idx]; 75 76 s1 -= v[0] * x1 + v[15] * x2 + v[30] * x3 + v[45] * x4 + v[60] * x5 + v[75] * x6 + v[90] * x7 + v[105] * x8 + v[120] * x9 + v[135] * x10 + v[150] * x11 + v[165] * x12 + v[180] * x13 + v[195] * x14 + v[210] * x15; 77 s2 -= v[1] * x1 + v[16] * x2 + v[31] * x3 + v[46] * x4 + v[61] * x5 + v[76] * x6 + v[91] * x7 + v[106] * x8 + v[121] * x9 + v[136] * x10 + v[151] * x11 + v[166] * x12 + v[181] * x13 + v[196] * x14 + v[211] * x15; 78 s3 -= v[2] * x1 + v[17] * x2 + v[32] * x3 + v[47] * x4 + v[62] * x5 + v[77] * x6 + v[92] * x7 + v[107] * x8 + v[122] * x9 + v[137] * x10 + v[152] * x11 + v[167] * x12 + v[182] * x13 + v[197] * x14 + v[212] * x15; 79 s4 -= v[3] * x1 + v[18] * x2 + v[33] * x3 + v[48] * x4 + v[63] * x5 + v[78] * x6 + v[93] * x7 + v[108] * x8 + v[123] * x9 + v[138] * x10 + v[153] * x11 + v[168] * x12 + v[183] * x13 + v[198] * x14 + v[213] * x15; 80 s5 -= v[4] * x1 + v[19] * x2 + v[34] * x3 + v[49] * x4 + v[64] * x5 + v[79] * x6 + v[94] * x7 + v[109] * x8 + v[124] * x9 + v[139] * x10 + v[154] * x11 + v[169] * x12 + v[184] * x13 + v[199] * x14 + v[214] * x15; 81 s6 -= v[5] * x1 + v[20] * x2 + v[35] * x3 + v[50] * x4 + v[65] * x5 + v[80] * x6 + v[95] * x7 + v[110] * x8 + v[125] * x9 + v[140] * x10 + v[155] * x11 + v[170] * x12 + v[185] * x13 + v[200] * x14 + v[215] * x15; 82 s7 -= v[6] * x1 + v[21] * x2 + v[36] * x3 + v[51] * x4 + v[66] * x5 + v[81] * x6 + v[96] * x7 + v[111] * x8 + v[126] * x9 + v[141] * x10 + v[156] * x11 + v[171] * x12 + v[186] * x13 + v[201] * x14 + v[216] * x15; 83 s8 -= v[7] * x1 + v[22] * x2 + v[37] * x3 + v[52] * x4 + v[67] * x5 + v[82] * x6 + v[97] * x7 + v[112] * x8 + v[127] * x9 + v[142] * x10 + v[157] * x11 + v[172] * x12 + v[187] * x13 + v[202] * x14 + v[217] * x15; 84 s9 -= v[8] * x1 + v[23] * x2 + v[38] * x3 + v[53] * x4 + v[68] * x5 + v[83] * x6 + v[98] * x7 + v[113] * x8 + v[128] * x9 + v[143] * x10 + v[158] * x11 + v[173] * x12 + v[188] * x13 + v[203] * x14 + v[218] * x15; 85 s10 -= v[9] * x1 + v[24] * x2 + v[39] * x3 + v[54] * x4 + v[69] * x5 + v[84] * x6 + v[99] * x7 + v[114] * x8 + v[129] * x9 + v[144] * x10 + v[159] * x11 + v[174] * x12 + v[189] * x13 + v[204] * x14 + v[219] * x15; 86 s11 -= v[10] * x1 + v[25] * x2 + v[40] * x3 + v[55] * x4 + v[70] * x5 + v[85] * x6 + v[100] * x7 + v[115] * x8 + v[130] * x9 + v[145] * x10 + v[160] * x11 + v[175] * x12 + v[190] * x13 + v[205] * x14 + v[220] * x15; 87 s12 -= v[11] * x1 + v[26] * x2 + v[41] * x3 + v[56] * x4 + v[71] * x5 + v[86] * x6 + v[101] * x7 + v[116] * x8 + v[131] * x9 + v[146] * x10 + v[161] * x11 + v[176] * x12 + v[191] * x13 + v[206] * x14 + v[221] * x15; 88 s13 -= v[12] * x1 + v[27] * x2 + v[42] * x3 + v[57] * x4 + v[72] * x5 + v[87] * x6 + v[102] * x7 + v[117] * x8 + v[132] * x9 + v[147] * x10 + v[162] * x11 + v[177] * x12 + v[192] * x13 + v[207] * x14 + v[222] * x15; 89 s14 -= v[13] * x1 + v[28] * x2 + v[43] * x3 + v[58] * x4 + v[73] * x5 + v[88] * x6 + v[103] * x7 + v[118] * x8 + v[133] * x9 + v[148] * x10 + v[163] * x11 + v[178] * x12 + v[193] * x13 + v[208] * x14 + v[223] * x15; 90 s15 -= v[14] * x1 + v[29] * x2 + v[44] * x3 + v[59] * x4 + v[74] * x5 + v[89] * x6 + v[104] * x7 + v[119] * x8 + v[134] * x9 + v[149] * x10 + v[164] * x11 + v[179] * x12 + v[194] * x13 + v[209] * x14 + v[224] * x15; 91 92 v += bs2; 93 } 94 x[idt] = s1; 95 x[1 + idt] = s2; 96 x[2 + idt] = s3; 97 x[3 + idt] = s4; 98 x[4 + idt] = s5; 99 x[5 + idt] = s6; 100 x[6 + idt] = s7; 101 x[7 + idt] = s8; 102 x[8 + idt] = s9; 103 x[9 + idt] = s10; 104 x[10 + idt] = s11; 105 x[11 + idt] = s12; 106 x[12 + idt] = s13; 107 x[13 + idt] = s14; 108 x[14 + idt] = s15; 109 } 110 /* backward solve the upper triangular */ 111 for (i = n - 1; i >= 0; i--) { 112 v = aa + bs2 * (adiag[i + 1] + 1); 113 vi = aj + adiag[i + 1] + 1; 114 nz = adiag[i] - adiag[i + 1] - 1; 115 idt = bs * i; 116 s1 = x[idt]; 117 s2 = x[1 + idt]; 118 s3 = x[2 + idt]; 119 s4 = x[3 + idt]; 120 s5 = x[4 + idt]; 121 s6 = x[5 + idt]; 122 s7 = x[6 + idt]; 123 s8 = x[7 + idt]; 124 s9 = x[8 + idt]; 125 s10 = x[9 + idt]; 126 s11 = x[10 + idt]; 127 s12 = x[11 + idt]; 128 s13 = x[12 + idt]; 129 s14 = x[13 + idt]; 130 s15 = x[14 + idt]; 131 132 for (m = 0; m < nz; m++) { 133 idx = bs * vi[m]; 134 x1 = x[idx]; 135 x2 = x[1 + idx]; 136 x3 = x[2 + idx]; 137 x4 = x[3 + idx]; 138 x5 = x[4 + idx]; 139 x6 = x[5 + idx]; 140 x7 = x[6 + idx]; 141 x8 = x[7 + idx]; 142 x9 = x[8 + idx]; 143 x10 = x[9 + idx]; 144 x11 = x[10 + idx]; 145 x12 = x[11 + idx]; 146 x13 = x[12 + idx]; 147 x14 = x[13 + idx]; 148 x15 = x[14 + idx]; 149 150 s1 -= v[0] * x1 + v[15] * x2 + v[30] * x3 + v[45] * x4 + v[60] * x5 + v[75] * x6 + v[90] * x7 + v[105] * x8 + v[120] * x9 + v[135] * x10 + v[150] * x11 + v[165] * x12 + v[180] * x13 + v[195] * x14 + v[210] * x15; 151 s2 -= v[1] * x1 + v[16] * x2 + v[31] * x3 + v[46] * x4 + v[61] * x5 + v[76] * x6 + v[91] * x7 + v[106] * x8 + v[121] * x9 + v[136] * x10 + v[151] * x11 + v[166] * x12 + v[181] * x13 + v[196] * x14 + v[211] * x15; 152 s3 -= v[2] * x1 + v[17] * x2 + v[32] * x3 + v[47] * x4 + v[62] * x5 + v[77] * x6 + v[92] * x7 + v[107] * x8 + v[122] * x9 + v[137] * x10 + v[152] * x11 + v[167] * x12 + v[182] * x13 + v[197] * x14 + v[212] * x15; 153 s4 -= v[3] * x1 + v[18] * x2 + v[33] * x3 + v[48] * x4 + v[63] * x5 + v[78] * x6 + v[93] * x7 + v[108] * x8 + v[123] * x9 + v[138] * x10 + v[153] * x11 + v[168] * x12 + v[183] * x13 + v[198] * x14 + v[213] * x15; 154 s5 -= v[4] * x1 + v[19] * x2 + v[34] * x3 + v[49] * x4 + v[64] * x5 + v[79] * x6 + v[94] * x7 + v[109] * x8 + v[124] * x9 + v[139] * x10 + v[154] * x11 + v[169] * x12 + v[184] * x13 + v[199] * x14 + v[214] * x15; 155 s6 -= v[5] * x1 + v[20] * x2 + v[35] * x3 + v[50] * x4 + v[65] * x5 + v[80] * x6 + v[95] * x7 + v[110] * x8 + v[125] * x9 + v[140] * x10 + v[155] * x11 + v[170] * x12 + v[185] * x13 + v[200] * x14 + v[215] * x15; 156 s7 -= v[6] * x1 + v[21] * x2 + v[36] * x3 + v[51] * x4 + v[66] * x5 + v[81] * x6 + v[96] * x7 + v[111] * x8 + v[126] * x9 + v[141] * x10 + v[156] * x11 + v[171] * x12 + v[186] * x13 + v[201] * x14 + v[216] * x15; 157 s8 -= v[7] * x1 + v[22] * x2 + v[37] * x3 + v[52] * x4 + v[67] * x5 + v[82] * x6 + v[97] * x7 + v[112] * x8 + v[127] * x9 + v[142] * x10 + v[157] * x11 + v[172] * x12 + v[187] * x13 + v[202] * x14 + v[217] * x15; 158 s9 -= v[8] * x1 + v[23] * x2 + v[38] * x3 + v[53] * x4 + v[68] * x5 + v[83] * x6 + v[98] * x7 + v[113] * x8 + v[128] * x9 + v[143] * x10 + v[158] * x11 + v[173] * x12 + v[188] * x13 + v[203] * x14 + v[218] * x15; 159 s10 -= v[9] * x1 + v[24] * x2 + v[39] * x3 + v[54] * x4 + v[69] * x5 + v[84] * x6 + v[99] * x7 + v[114] * x8 + v[129] * x9 + v[144] * x10 + v[159] * x11 + v[174] * x12 + v[189] * x13 + v[204] * x14 + v[219] * x15; 160 s11 -= v[10] * x1 + v[25] * x2 + v[40] * x3 + v[55] * x4 + v[70] * x5 + v[85] * x6 + v[100] * x7 + v[115] * x8 + v[130] * x9 + v[145] * x10 + v[160] * x11 + v[175] * x12 + v[190] * x13 + v[205] * x14 + v[220] * x15; 161 s12 -= v[11] * x1 + v[26] * x2 + v[41] * x3 + v[56] * x4 + v[71] * x5 + v[86] * x6 + v[101] * x7 + v[116] * x8 + v[131] * x9 + v[146] * x10 + v[161] * x11 + v[176] * x12 + v[191] * x13 + v[206] * x14 + v[221] * x15; 162 s13 -= v[12] * x1 + v[27] * x2 + v[42] * x3 + v[57] * x4 + v[72] * x5 + v[87] * x6 + v[102] * x7 + v[117] * x8 + v[132] * x9 + v[147] * x10 + v[162] * x11 + v[177] * x12 + v[192] * x13 + v[207] * x14 + v[222] * x15; 163 s14 -= v[13] * x1 + v[28] * x2 + v[43] * x3 + v[58] * x4 + v[73] * x5 + v[88] * x6 + v[103] * x7 + v[118] * x8 + v[133] * x9 + v[148] * x10 + v[163] * x11 + v[178] * x12 + v[193] * x13 + v[208] * x14 + v[223] * x15; 164 s15 -= v[14] * x1 + v[29] * x2 + v[44] * x3 + v[59] * x4 + v[74] * x5 + v[89] * x6 + v[104] * x7 + v[119] * x8 + v[134] * x9 + v[149] * x10 + v[164] * x11 + v[179] * x12 + v[194] * x13 + v[209] * x14 + v[224] * x15; 165 166 v += bs2; 167 } 168 169 x[idt] = v[0] * s1 + v[15] * s2 + v[30] * s3 + v[45] * s4 + v[60] * s5 + v[75] * s6 + v[90] * s7 + v[105] * s8 + v[120] * s9 + v[135] * s10 + v[150] * s11 + v[165] * s12 + v[180] * s13 + v[195] * s14 + v[210] * s15; 170 x[1 + idt] = v[1] * s1 + v[16] * s2 + v[31] * s3 + v[46] * s4 + v[61] * s5 + v[76] * s6 + v[91] * s7 + v[106] * s8 + v[121] * s9 + v[136] * s10 + v[151] * s11 + v[166] * s12 + v[181] * s13 + v[196] * s14 + v[211] * s15; 171 x[2 + idt] = v[2] * s1 + v[17] * s2 + v[32] * s3 + v[47] * s4 + v[62] * s5 + v[77] * s6 + v[92] * s7 + v[107] * s8 + v[122] * s9 + v[137] * s10 + v[152] * s11 + v[167] * s12 + v[182] * s13 + v[197] * s14 + v[212] * s15; 172 x[3 + idt] = v[3] * s1 + v[18] * s2 + v[33] * s3 + v[48] * s4 + v[63] * s5 + v[78] * s6 + v[93] * s7 + v[108] * s8 + v[123] * s9 + v[138] * s10 + v[153] * s11 + v[168] * s12 + v[183] * s13 + v[198] * s14 + v[213] * s15; 173 x[4 + idt] = v[4] * s1 + v[19] * s2 + v[34] * s3 + v[49] * s4 + v[64] * s5 + v[79] * s6 + v[94] * s7 + v[109] * s8 + v[124] * s9 + v[139] * s10 + v[154] * s11 + v[169] * s12 + v[184] * s13 + v[199] * s14 + v[214] * s15; 174 x[5 + idt] = v[5] * s1 + v[20] * s2 + v[35] * s3 + v[50] * s4 + v[65] * s5 + v[80] * s6 + v[95] * s7 + v[110] * s8 + v[125] * s9 + v[140] * s10 + v[155] * s11 + v[170] * s12 + v[185] * s13 + v[200] * s14 + v[215] * s15; 175 x[6 + idt] = v[6] * s1 + v[21] * s2 + v[36] * s3 + v[51] * s4 + v[66] * s5 + v[81] * s6 + v[96] * s7 + v[111] * s8 + v[126] * s9 + v[141] * s10 + v[156] * s11 + v[171] * s12 + v[186] * s13 + v[201] * s14 + v[216] * s15; 176 x[7 + idt] = v[7] * s1 + v[22] * s2 + v[37] * s3 + v[52] * s4 + v[67] * s5 + v[82] * s6 + v[97] * s7 + v[112] * s8 + v[127] * s9 + v[142] * s10 + v[157] * s11 + v[172] * s12 + v[187] * s13 + v[202] * s14 + v[217] * s15; 177 x[8 + idt] = v[8] * s1 + v[23] * s2 + v[38] * s3 + v[53] * s4 + v[68] * s5 + v[83] * s6 + v[98] * s7 + v[113] * s8 + v[128] * s9 + v[143] * s10 + v[158] * s11 + v[173] * s12 + v[188] * s13 + v[203] * s14 + v[218] * s15; 178 x[9 + idt] = v[9] * s1 + v[24] * s2 + v[39] * s3 + v[54] * s4 + v[69] * s5 + v[84] * s6 + v[99] * s7 + v[114] * s8 + v[129] * s9 + v[144] * s10 + v[159] * s11 + v[174] * s12 + v[189] * s13 + v[204] * s14 + v[219] * s15; 179 x[10 + idt] = v[10] * s1 + v[25] * s2 + v[40] * s3 + v[55] * s4 + v[70] * s5 + v[85] * s6 + v[100] * s7 + v[115] * s8 + v[130] * s9 + v[145] * s10 + v[160] * s11 + v[175] * s12 + v[190] * s13 + v[205] * s14 + v[220] * s15; 180 x[11 + idt] = v[11] * s1 + v[26] * s2 + v[41] * s3 + v[56] * s4 + v[71] * s5 + v[86] * s6 + v[101] * s7 + v[116] * s8 + v[131] * s9 + v[146] * s10 + v[161] * s11 + v[176] * s12 + v[191] * s13 + v[206] * s14 + v[221] * s15; 181 x[12 + idt] = v[12] * s1 + v[27] * s2 + v[42] * s3 + v[57] * s4 + v[72] * s5 + v[87] * s6 + v[102] * s7 + v[117] * s8 + v[132] * s9 + v[147] * s10 + v[162] * s11 + v[177] * s12 + v[192] * s13 + v[207] * s14 + v[222] * s15; 182 x[13 + idt] = v[13] * s1 + v[28] * s2 + v[43] * s3 + v[58] * s4 + v[73] * s5 + v[88] * s6 + v[103] * s7 + v[118] * s8 + v[133] * s9 + v[148] * s10 + v[163] * s11 + v[178] * s12 + v[193] * s13 + v[208] * s14 + v[223] * s15; 183 x[14 + idt] = v[14] * s1 + v[29] * s2 + v[44] * s3 + v[59] * s4 + v[74] * s5 + v[89] * s6 + v[104] * s7 + v[119] * s8 + v[134] * s9 + v[149] * s10 + v[164] * s11 + v[179] * s12 + v[194] * s13 + v[209] * s14 + v[224] * s15; 184 } 185 186 PetscCall(VecRestoreArrayRead(bb, &b)); 187 PetscCall(VecRestoreArray(xx, &x)); 188 PetscCall(PetscLogFlops(2.0 * bs2 * (a->nz) - bs * A->cmap->n)); 189 PetscFunctionReturn(0); 190 } 191 192 /* bs = 15 for PFLOTRAN. Block operations are done by accessing one column at at time */ 193 /* Default MatSolve for block size 15 */ 194 195 PetscErrorCode MatSolve_SeqBAIJ_15_NaturalOrdering_ver1(Mat A, Vec bb, Vec xx) { 196 Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; 197 const PetscInt n = a->mbs, *ai = a->i, *aj = a->j, *adiag = a->diag, *vi, bs = A->rmap->bs, bs2 = a->bs2; 198 PetscInt i, k, nz, idx, idt, m; 199 const MatScalar *aa = a->a, *v; 200 PetscScalar s[15]; 201 PetscScalar *x, xv; 202 const PetscScalar *b; 203 204 PetscFunctionBegin; 205 PetscCall(VecGetArrayRead(bb, &b)); 206 PetscCall(VecGetArray(xx, &x)); 207 208 /* forward solve the lower triangular */ 209 for (i = 0; i < n; i++) { 210 v = aa + bs2 * ai[i]; 211 vi = aj + ai[i]; 212 nz = ai[i + 1] - ai[i]; 213 idt = bs * i; 214 x[idt] = b[idt]; 215 x[1 + idt] = b[1 + idt]; 216 x[2 + idt] = b[2 + idt]; 217 x[3 + idt] = b[3 + idt]; 218 x[4 + idt] = b[4 + idt]; 219 x[5 + idt] = b[5 + idt]; 220 x[6 + idt] = b[6 + idt]; 221 x[7 + idt] = b[7 + idt]; 222 x[8 + idt] = b[8 + idt]; 223 x[9 + idt] = b[9 + idt]; 224 x[10 + idt] = b[10 + idt]; 225 x[11 + idt] = b[11 + idt]; 226 x[12 + idt] = b[12 + idt]; 227 x[13 + idt] = b[13 + idt]; 228 x[14 + idt] = b[14 + idt]; 229 for (m = 0; m < nz; m++) { 230 idx = bs * vi[m]; 231 for (k = 0; k < 15; k++) { 232 xv = x[k + idx]; 233 x[idt] -= v[0] * xv; 234 x[1 + idt] -= v[1] * xv; 235 x[2 + idt] -= v[2] * xv; 236 x[3 + idt] -= v[3] * xv; 237 x[4 + idt] -= v[4] * xv; 238 x[5 + idt] -= v[5] * xv; 239 x[6 + idt] -= v[6] * xv; 240 x[7 + idt] -= v[7] * xv; 241 x[8 + idt] -= v[8] * xv; 242 x[9 + idt] -= v[9] * xv; 243 x[10 + idt] -= v[10] * xv; 244 x[11 + idt] -= v[11] * xv; 245 x[12 + idt] -= v[12] * xv; 246 x[13 + idt] -= v[13] * xv; 247 x[14 + idt] -= v[14] * xv; 248 v += 15; 249 } 250 } 251 } 252 /* backward solve the upper triangular */ 253 for (i = n - 1; i >= 0; i--) { 254 v = aa + bs2 * (adiag[i + 1] + 1); 255 vi = aj + adiag[i + 1] + 1; 256 nz = adiag[i] - adiag[i + 1] - 1; 257 idt = bs * i; 258 s[0] = x[idt]; 259 s[1] = x[1 + idt]; 260 s[2] = x[2 + idt]; 261 s[3] = x[3 + idt]; 262 s[4] = x[4 + idt]; 263 s[5] = x[5 + idt]; 264 s[6] = x[6 + idt]; 265 s[7] = x[7 + idt]; 266 s[8] = x[8 + idt]; 267 s[9] = x[9 + idt]; 268 s[10] = x[10 + idt]; 269 s[11] = x[11 + idt]; 270 s[12] = x[12 + idt]; 271 s[13] = x[13 + idt]; 272 s[14] = x[14 + idt]; 273 274 for (m = 0; m < nz; m++) { 275 idx = bs * vi[m]; 276 for (k = 0; k < 15; k++) { 277 xv = x[k + idx]; 278 s[0] -= v[0] * xv; 279 s[1] -= v[1] * xv; 280 s[2] -= v[2] * xv; 281 s[3] -= v[3] * xv; 282 s[4] -= v[4] * xv; 283 s[5] -= v[5] * xv; 284 s[6] -= v[6] * xv; 285 s[7] -= v[7] * xv; 286 s[8] -= v[8] * xv; 287 s[9] -= v[9] * xv; 288 s[10] -= v[10] * xv; 289 s[11] -= v[11] * xv; 290 s[12] -= v[12] * xv; 291 s[13] -= v[13] * xv; 292 s[14] -= v[14] * xv; 293 v += 15; 294 } 295 } 296 PetscCall(PetscArrayzero(x + idt, bs)); 297 for (k = 0; k < 15; k++) { 298 x[idt] += v[0] * s[k]; 299 x[1 + idt] += v[1] * s[k]; 300 x[2 + idt] += v[2] * s[k]; 301 x[3 + idt] += v[3] * s[k]; 302 x[4 + idt] += v[4] * s[k]; 303 x[5 + idt] += v[5] * s[k]; 304 x[6 + idt] += v[6] * s[k]; 305 x[7 + idt] += v[7] * s[k]; 306 x[8 + idt] += v[8] * s[k]; 307 x[9 + idt] += v[9] * s[k]; 308 x[10 + idt] += v[10] * s[k]; 309 x[11 + idt] += v[11] * s[k]; 310 x[12 + idt] += v[12] * s[k]; 311 x[13 + idt] += v[13] * s[k]; 312 x[14 + idt] += v[14] * s[k]; 313 v += 15; 314 } 315 } 316 PetscCall(VecRestoreArrayRead(bb, &b)); 317 PetscCall(VecRestoreArray(xx, &x)); 318 PetscCall(PetscLogFlops(2.0 * bs2 * (a->nz) - bs * A->cmap->n)); 319 PetscFunctionReturn(0); 320 } 321