trunk/src/emu/netlist/analog/nld_solver.c
| r30754 | r30755 | |
| 14 | 14 | #endif |
| 15 | 15 | |
| 16 | 16 | #define USE_PIVOT_SEARCH (0) |
| 17 | #define VECTALT 1 |
| 17 | 18 | |
| 18 | 19 | #define SOLVER_VERBOSE_OUT(x) do {} while (0) |
| 19 | 20 | //#define SOLVER_VERBOSE_OUT(x) printf x |
| r30754 | r30755 | |
| 22 | 23 | * the vectorizations this enables pretty expensive |
| 23 | 24 | */ |
| 24 | 25 | |
| 25 | | //#pragma GCC optimize "-ffast-math" |
| 26 | #if 0 |
| 27 | #pragma GCC optimize "-ffast-math" |
| 28 | #pragma GCC optimize "-fvariable-expansion-in-unroller" |
| 29 | #pragma GCC optimize "-funswitch-loops" |
| 30 | #endif |
| 26 | 31 | |
| 32 | |
| 33 | static vector_t *create_vector(const int size) |
| 34 | { |
| 35 | switch (size) |
| 36 | { |
| 37 | case 1: |
| 38 | return new vector_imp_t<1>(); |
| 39 | case 2: |
| 40 | return new vector_imp_t<2>(); |
| 41 | case 3: |
| 42 | return new vector_imp_t<3>(); |
| 43 | case 4: |
| 44 | return new vector_imp_t<4>(); |
| 45 | case 5: |
| 46 | return new vector_imp_t<5>(); |
| 47 | case 6: |
| 48 | return new vector_imp_t<6>(); |
| 49 | case 7: |
| 50 | return new vector_imp_t<7>(); |
| 51 | case 8: |
| 52 | return new vector_imp_t<8>(); |
| 53 | default: |
| 54 | return new vector_imp_t<0>(size); |
| 55 | } |
| 56 | } |
| 57 | |
| 58 | ATTR_COLD void terms_t::add(netlist_terminal_t *term, int net_other) |
| 59 | { |
| 60 | m_term.add(term); |
| 61 | m_net_other.add(net_other); |
| 62 | m_gt.add(0.0); |
| 63 | m_go.add(0.0); |
| 64 | m_Idr.add(0.0); |
| 65 | } |
| 66 | |
| 67 | ATTR_COLD void terms_t::set_pointers() |
| 68 | { |
| 69 | for (int i = 0; i < count(); i++) |
| 70 | { |
| 71 | m_term[i]->m_gt1 = &m_gt[i]; |
| 72 | m_term[i]->m_go1 = &m_go[i]; |
| 73 | m_term[i]->m_Idr1 = &m_Idr[i]; |
| 74 | } |
| 75 | |
| 76 | m_ops = create_vector(m_gt.count()); |
| 77 | } |
| 78 | |
| 27 | 79 | // ---------------------------------------------------------------------------------------- |
| 28 | 80 | // netlist_matrix_solver |
| 29 | 81 | // ---------------------------------------------------------------------------------------- |
| r30754 | r30755 | |
| 68 | 120 | switch (p->netdev().family()) |
| 69 | 121 | { |
| 70 | 122 | case netlist_device_t::CAPACITOR: |
| 71 | | if (!m_steps.contains(&p->netdev())) |
| 72 | | m_steps.add(&p->netdev()); |
| 123 | if (!m_step_devices.contains(&p->netdev())) |
| 124 | m_step_devices.add(&p->netdev()); |
| 73 | 125 | break; |
| 74 | 126 | case netlist_device_t::BJT_EB: |
| 75 | 127 | case netlist_device_t::DIODE: |
| 76 | 128 | //case netlist_device_t::VCVS: |
| 77 | 129 | case netlist_device_t::BJT_SWITCH: |
| 78 | 130 | NL_VERBOSE_OUT(("found BJT/Diode\n")); |
| 79 | | if (!m_dynamic.contains(&p->netdev())) |
| 80 | | m_dynamic.add(&p->netdev()); |
| 131 | if (!m_dynamic_devices.contains(&p->netdev())) |
| 132 | m_dynamic_devices.add(&p->netdev()); |
| 81 | 133 | break; |
| 82 | 134 | default: |
| 83 | 135 | break; |
| r30754 | r30755 | |
| 142 | 194 | #endif |
| 143 | 195 | double DD_n = (n->m_cur_Analog - n->m_last_Analog); |
| 144 | 196 | |
| 145 | | if (fabs(DD_n) < 2.0 * m_params.m_accuracy) |
| 146 | | DD_n = 0.0; |
| 147 | | else |
| 148 | | DD_n = copysign(fabs(DD_n) - 2.0 * m_params.m_accuracy, DD_n) / hn; |
| 149 | | |
| 150 | | double h_n_m_1 = n->m_h_n_m_1; |
| 151 | | // limit last timestep in equation. |
| 152 | | //if (h_n_m_1 > 3 * hn) |
| 153 | | // h_n_m_1 = 3 * hn; |
| 154 | | |
| 155 | | double DD2 = (DD_n - n->m_DD_n_m_1) / (hn + h_n_m_1); |
| 197 | double DD2 = (DD_n / hn - n->m_DD_n_m_1 / n->m_h_n_m_1) / (hn + n->m_h_n_m_1); |
| 156 | 198 | double new_net_timestep; |
| 157 | 199 | |
| 200 | n->m_h_n_m_1 = hn; |
| 158 | 201 | n->m_DD_n_m_1 = DD_n; |
| 159 | | n->m_h_n_m_1 = hn; |
| 160 | 202 | if (fabs(DD2) > 1e-50) // avoid div-by-zero |
| 161 | 203 | new_net_timestep = sqrt(m_params.m_lte / fabs(0.5*DD2)); |
| 162 | 204 | else |
| 163 | | { |
| 164 | 205 | new_net_timestep = m_params.m_max_timestep; |
| 165 | 206 | |
| 166 | | //if (hn > 0.0 && new_net_timestep > 100.0 * hn) |
| 167 | | // new_net_timestep = 100.0 * hn; |
| 168 | | } |
| 169 | | //if (N()==2) |
| 170 | | // printf("%s: k %d ts %e DD2 %e\n", name().cstr(), k, new_net_timestep, DD2); |
| 171 | | |
| 172 | 207 | if (new_net_timestep < new_solver_timestep) |
| 173 | 208 | new_solver_timestep = new_net_timestep; |
| 174 | 209 | } |
| r30754 | r30755 | |
| 205 | 240 | ATTR_HOT void netlist_matrix_solver_t::update_dynamic() |
| 206 | 241 | { |
| 207 | 242 | /* update all non-linear devices */ |
| 208 | | for (netlist_core_device_t * const *p = m_dynamic.first(); p != NULL; p = m_dynamic.next(p)) |
| 243 | for (netlist_core_device_t * const *p = m_dynamic_devices.first(); p != NULL; p = m_dynamic_devices.next(p)) |
| 209 | 244 | switch ((*p)->family()) |
| 210 | 245 | { |
| 211 | 246 | case netlist_device_t::DIODE: |
| r30754 | r30755 | |
| 248 | 283 | ATTR_HOT void netlist_matrix_solver_t::step(const netlist_time delta) |
| 249 | 284 | { |
| 250 | 285 | const double dd = delta.as_double(); |
| 251 | | for (int k=0; k < m_steps.count(); k++) |
| 252 | | m_steps[k]->step_time(dd); |
| 286 | for (int k=0; k < m_step_devices.count(); k++) |
| 287 | m_step_devices[k]->step_time(dd); |
| 253 | 288 | } |
| 254 | 289 | |
| 255 | 290 | ATTR_HOT double netlist_matrix_solver_t::solve() |
| r30754 | r30755 | |
| 265 | 300 | NL_VERBOSE_OUT(("Step!\n")); |
| 266 | 301 | /* update all terminals for new time step */ |
| 267 | 302 | m_last_step = now; |
| 268 | | //printf("usecs: %f\n", delta.as_double()*1000000.0); |
| 269 | 303 | step(delta); |
| 270 | 304 | |
| 271 | 305 | if (is_dynamic()) |
| r30754 | r30755 | |
| 297 | 331 | return next_time_step; |
| 298 | 332 | } |
| 299 | 333 | |
| 334 | __attribute__ ((noinline)) static double tx(double * ATTR_ALIGN t , const int &N) |
| 335 | { |
| 336 | double tmp=0.0; |
| 337 | for (int k = 0; k<N; k++) |
| 338 | tmp += t[k] ; |
| 339 | return tmp; |
| 340 | } |
| 341 | |
| 342 | void ttt() |
| 343 | { |
| 344 | //typedef int tt ; |
| 345 | static double *t = (double *) malloc(128*8); |
| 346 | for (int k = 0; k<128; k++) |
| 347 | t[k] = k; |
| 348 | double tmp; |
| 349 | tmp = tx(t, 16); |
| 350 | printf("t[0] %p %f\n", &t[0], t[0]); |
| 351 | printf("t[1] %p %f\n", &t[1], t[1]); |
| 352 | printf("%f\n", tmp); |
| 353 | free(t); |
| 354 | |
| 355 | } |
| 356 | |
| 300 | 357 | template <int m_N, int _storage_N> |
| 301 | 358 | void netlist_matrix_solver_gauss_seidel_t<m_N, _storage_N>::log_stats() |
| 302 | 359 | { |
| 303 | | #if 0 |
| 360 | #if 1 |
| 304 | 361 | printf("==============================================\n"); |
| 305 | 362 | printf("Solver %s\n", this->name().cstr()); |
| 306 | 363 | printf(" ==> %d nets\n", this->N()); //, (*(*groups[i].first())->m_core_terms.first())->name().cstr()); |
| r30754 | r30755 | |
| 312 | 369 | this->m_gs_fail, |
| 313 | 370 | 100.0 * (double) this->m_gs_fail / (double) this->m_calculations, |
| 314 | 371 | (double) this->m_gs_total / (double) this->m_calculations); |
| 372 | ttt(); |
| 373 | |
| 315 | 374 | #endif |
| 316 | 375 | } |
| 317 | 376 | |
| r30754 | r30755 | |
| 387 | 446 | double akk = 0.0; |
| 388 | 447 | { |
| 389 | 448 | const int terms_count = m_terms[k].count(); |
| 390 | | //const netlist_terminal_t * const *terms = m_terms[k].terms(); |
| 391 | | const int *net_other = m_terms[k].net_other(); |
| 392 | 449 | const double *gt = m_terms[k].gt(); |
| 393 | | const double *go = m_terms[k].go(); |
| 394 | 450 | const double *Idr = m_terms[k].Idr(); |
| 451 | #if VECTALT |
| 395 | 452 | |
| 396 | 453 | for (int i = 0; i < terms_count; i++) |
| 397 | 454 | { |
| r30754 | r30755 | |
| 399 | 456 | |
| 400 | 457 | rhsk = rhsk + Idr[i]; |
| 401 | 458 | akk = akk + gt[i]; |
| 402 | | m_A[k][net_other[i]] += -go[i]; |
| 459 | //m_A[k][net_other[i]] += -go[i]; |
| 403 | 460 | } |
| 461 | #else |
| 462 | m_terms[k].ops()->sum2(Idr, gt, rhsk, akk); |
| 463 | // rhsk += sum(m_terms[k].Idr(), terms_count); |
| 464 | // akk += sum(m_terms[k].gt(), terms_count); |
| 465 | #endif |
| 404 | 466 | } |
| 405 | 467 | { |
| 406 | 468 | const int rails_count = m_rails[k].count(); |
| 407 | 469 | const netlist_terminal_t * const *rails = m_rails[k].terms(); |
| 408 | 470 | const double *gt = m_rails[k].gt(); |
| 409 | | const double *go = m_rails[k].go(); |
| 410 | 471 | const double *Idr = m_rails[k].Idr(); |
| 472 | #if VECTALT |
| 411 | 473 | |
| 412 | 474 | for (int i = 0; i < rails_count; i++) |
| 413 | 475 | { |
| 414 | 476 | rhsk = rhsk + Idr[i]; |
| 415 | 477 | akk = akk + gt[i]; |
| 478 | } |
| 479 | #else |
| 480 | m_rails[k].ops()->sum2(Idr, gt, rhsk, akk); |
| 481 | //rhsk += sum(m_rails[k].Idr(), rails_count); |
| 482 | //akk += sum(m_rails[k].gt(), rails_count); |
| 483 | #endif |
| 484 | const double *go = m_rails[k].go(); |
| 485 | for (int i = 0; i < rails_count; i++) |
| 486 | { |
| 416 | 487 | rhsk = rhsk + go[i] * rails[i]->m_otherterm->net().as_analog().Q_Analog(); |
| 417 | 488 | } |
| 418 | 489 | } |
| 419 | | m_RHS[k] = rhsk; |
| 420 | | m_A[k][k] += akk; |
| 490 | /* |
| 491 | * Matrix preconditioning with 1.0 / Akk |
| 492 | * |
| 493 | * will save a number of calculations during elimination |
| 494 | * |
| 495 | */ |
| 496 | akk = 1.0 / akk; |
| 497 | m_RHS[k] = rhsk * akk; |
| 498 | m_A[k][k] += 1.0; |
| 499 | { |
| 500 | const int terms_count = m_terms[k].count(); |
| 501 | //const netlist_terminal_t * const *terms = m_terms[k].terms(); |
| 502 | const int *net_other = m_terms[k].net_other(); |
| 503 | const double *go = m_terms[k].go(); |
| 504 | |
| 505 | for (int i = 0; i < terms_count; i++) |
| 506 | { |
| 507 | m_A[k][net_other[i]] += -go[i] * akk; |
| 508 | } |
| 509 | } |
| 421 | 510 | } |
| 422 | 511 | } |
| 423 | 512 | |
| r30754 | r30755 | |
| 466 | 555 | |
| 467 | 556 | for (int j = i + 1; j < kN; j++) |
| 468 | 557 | { |
| 469 | | const double f1 = m_A[j][i] * f; |
| 558 | const double f1 = - m_A[j][i] * f; |
| 470 | 559 | if (f1 != 0.0) |
| 471 | 560 | { |
| 472 | 561 | for (int k = i + 1; k < kN; k++) |
| 473 | | m_A[j][k] -= m_A[i][k] * f1; |
| 474 | | m_RHS[j] -= m_RHS[i] * f1; |
| 562 | m_A[j][k] += m_A[i][k] * f1; |
| 563 | m_RHS[j] += m_RHS[i] * f1; |
| 475 | 564 | } |
| 476 | 565 | } |
| 477 | 566 | } |
| r30754 | r30755 | |
| 480 | 569 | { |
| 481 | 570 | //__builtin_prefetch(&m_A[j-1][j], 0); |
| 482 | 571 | double tmp = 0; |
| 483 | | for (int k = j + 1; k < kN; k++) |
| 572 | |
| 573 | for (int k = j + 1; k < kN; k++) |
| 484 | 574 | tmp += m_A[j][k] * x[k]; |
| 485 | | x[j] = (m_RHS[j] - tmp) / m_A[j][j]; |
| 575 | |
| 576 | x[j] = (m_RHS[j] - tmp) / m_A[j][j]; |
| 486 | 577 | } |
| 487 | 578 | #if 0 |
| 488 | 579 | printf("Solution:\n"); |
| r30754 | r30755 | |
| 627 | 718 | // netlist_matrix_solver - Gauss - Seidel |
| 628 | 719 | // ---------------------------------------------------------------------------------------- |
| 629 | 720 | |
| 630 | | template<int _N> |
| 631 | | static inline const double sum(const double *v) |
| 632 | | { |
| 633 | | double tmp = 0.0; |
| 634 | | for (int i=0; i < _N; i++) |
| 635 | | tmp += v[i]; |
| 636 | | return tmp; |
| 637 | | } |
| 638 | | |
| 639 | | template<int _N> |
| 640 | | static inline const double sumabs(const double *v) |
| 641 | | { |
| 642 | | double tmp = 0.0; |
| 643 | | for (int i=0; i < _N; i++) |
| 644 | | tmp += fabs(v[i]); |
| 645 | | return tmp; |
| 646 | | } |
| 647 | | |
| 648 | 721 | template <int m_N, int _storage_N> |
| 649 | 722 | ATTR_HOT int netlist_matrix_solver_gauss_seidel_t<m_N, _storage_N>::vsolve_non_dynamic() |
| 650 | 723 | { |
| r30754 | r30755 | |
| 713 | 786 | #else |
| 714 | 787 | const int iN = this->N(); |
| 715 | 788 | bool resched = false; |
| 716 | | |
| 717 | 789 | int resched_cnt = 0; |
| 718 | | ATTR_UNUSED netlist_net_t *last_resched_net = NULL; |
| 719 | 790 | |
| 720 | 791 | /* over-relaxation not really works on these matrices */ |
| 721 | 792 | //const double w = 1.0; //2.0 / (1.0 + sin(3.14159 / (m_nets.count()+1))); |
| r30754 | r30755 | |
| 741 | 812 | const netlist_terminal_t * const * rails = this->m_rails[k].terms(); |
| 742 | 813 | //const int * othernet = this->m_rails[k].m_othernet; |
| 743 | 814 | const int rail_count = this->m_rails[k].count(); |
| 744 | | const double *gt = this->m_rails[k].gt(); |
| 815 | double *gt = this->m_rails[k].gt(); |
| 745 | 816 | const double *go = this->m_rails[k].go(); |
| 746 | 817 | const double *Idr = this->m_rails[k].Idr(); |
| 747 | | |
| 818 | #if VECTALT |
| 748 | 819 | for (int i = 0; i < rail_count; i++) |
| 749 | 820 | { |
| 750 | | RHS_t += go[i] * rails[i]->m_otherterm->net().as_analog().Q_Analog(); |
| 751 | 821 | gtot_t += gt[i]; |
| 752 | 822 | gabs_t += fabs(go[i]); |
| 753 | 823 | RHS_t += Idr[i]; |
| 754 | | // this may point to a rail net ... |
| 824 | RHS_t += go[i] * rails[i]->m_otherterm->net().as_analog().Q_Analog(); |
| 755 | 825 | } |
| 826 | #else |
| 827 | this->m_rails[k].ops()->sum2a(gt, Idr, go, gtot_t, RHS_t, gabs_t); |
| 828 | |
| 829 | for (int i = 0; i < rail_count; i++) |
| 830 | RHS_t += go[i] * rails[i]->m_otherterm->net().as_analog().Q_Analog(); |
| 831 | #endif |
| 756 | 832 | } |
| 757 | 833 | { |
| 758 | 834 | const int term_count = this->m_terms[k].count(); |
| 759 | 835 | const double *gt = this->m_terms[k].gt(); |
| 760 | 836 | const double *go = this->m_terms[k].go(); |
| 761 | 837 | const double *Idr = this->m_terms[k].Idr(); |
| 762 | | |
| 838 | #if VECTALT |
| 763 | 839 | for (int i = 0; i < term_count; i++) |
| 764 | 840 | { |
| 765 | 841 | gtot_t += gt[i]; |
| 766 | 842 | gabs_t += fabs(go[i]); |
| 767 | 843 | RHS_t += Idr[i]; |
| 768 | 844 | } |
| 845 | #else |
| 846 | this->m_terms[k].ops()->sum2a(gt, Idr, go, gtot_t, RHS_t, gabs_t); |
| 847 | #endif |
| 769 | 848 | } |
| 770 | | gabs_t *= 1.0; |
| 771 | | if (gabs_t > gtot_t) |
| 849 | RHS[k] = RHS_t; |
| 850 | |
| 851 | gabs_t *= 0.9; // avoid rounding issues |
| 852 | if (gabs_t <= gtot_t) |
| 772 | 853 | { |
| 773 | | w[k] = 1.0 / (gtot_t + gabs_t); |
| 774 | | one_m_w[k] = 1.0 - 1.0 * gtot_t / (gtot_t + gabs_t); |
| 854 | const double ws = 1.0; |
| 855 | w[k] = ws / gtot_t; |
| 856 | one_m_w[k] = 1.0 - ws; |
| 775 | 857 | } |
| 776 | 858 | else |
| 777 | 859 | { |
| 778 | | const double ws = 1.0; |
| 779 | | w[k] = ws / gtot_t; |
| 780 | | one_m_w[k] = 1.0 - ws; |
| 860 | w[k] = 1.0 / (gtot_t + gabs_t); |
| 861 | one_m_w[k] = 1.0 - 1.0 * gtot_t / (gtot_t + gabs_t); |
| 781 | 862 | } |
| 782 | 863 | |
| 783 | | RHS[k] = RHS_t; |
| 784 | 864 | } |
| 785 | 865 | |
| 786 | 866 | do { |
| r30754 | r30755 | |
| 815 | 895 | } while (resched && (resched_cnt < this->m_params.m_gs_loops)); |
| 816 | 896 | |
| 817 | 897 | for (int k = 0; k < iN; k++) |
| 818 | | { |
| 819 | 898 | this->m_nets[k]->m_new_Analog = this->m_nets[k]->m_cur_Analog = new_V[k]; |
| 820 | | } |
| 821 | 899 | |
| 900 | this->m_gs_total += resched_cnt; |
| 822 | 901 | |
| 823 | | this->m_gs_total += resched_cnt; |
| 824 | 902 | if (resched) |
| 825 | 903 | { |
| 826 | 904 | //this->netlist().warning("Falling back to direct solver .. Consider increasing RESCHED_LOOPS"); |
| r30754 | r30755 | |
| 832 | 910 | else { |
| 833 | 911 | this->m_calculations++; |
| 834 | 912 | |
| 835 | | //for (int k = 0; k < this->N(); k++) |
| 836 | | // this->m_nets[k]->m_cur_Analog = this->m_nets[k]->m_new_Analog; |
| 837 | | |
| 838 | 913 | return resched_cnt; |
| 839 | 914 | } |
| 840 | 915 | #endif |
| r30754 | r30755 | |
| 1010 | 1085 | |
| 1011 | 1086 | switch (net_count) |
| 1012 | 1087 | { |
| 1088 | #if 1 |
| 1013 | 1089 | case 1: |
| 1014 | 1090 | ms = create_solver<1,1>(gs_threshold, use_specific); |
| 1015 | 1091 | break; |
| r30754 | r30755 | |
| 1034 | 1110 | case 8: |
| 1035 | 1111 | ms = create_solver<8,8>(gs_threshold, use_specific); |
| 1036 | 1112 | break; |
| 1113 | case 12: |
| 1114 | ms = create_solver<12,12>(gs_threshold, use_specific); |
| 1115 | break; |
| 1116 | #endif |
| 1037 | 1117 | default: |
| 1038 | 1118 | if (net_count <= 16) |
| 1039 | 1119 | { |
trunk/src/emu/netlist/analog/nld_solver.h
| r30754 | r30755 | |
| 40 | 40 | netlist_time m_nt_sync_delay; |
| 41 | 41 | }; |
| 42 | 42 | |
| 43 | | class ATTR_ALIGNED(64) netlist_matrix_solver_t : public netlist_device_t |
| 43 | class vector_t |
| 44 | 44 | { |
| 45 | 45 | public: |
| 46 | |
| 47 | vector_t(int size) |
| 48 | : m_dim(size) |
| 49 | { |
| 50 | } |
| 51 | |
| 52 | virtual ~vector_t() {} |
| 53 | |
| 54 | ATTR_ALIGNED(64) double * RESTRICT m_V; |
| 55 | |
| 56 | virtual const double sum(const double * v) = 0; |
| 57 | virtual void sum2(const double * v1, const double * v2, double &s1, double &s2) = 0; |
| 58 | virtual void sum2a(const double * v1, const double * v2, const double * v3abs, double &s1, double &s2, double &s3abs) = 0; |
| 59 | |
| 60 | virtual const double sumabs(const double * v) = 0; |
| 61 | |
| 62 | protected: |
| 63 | int m_dim; |
| 64 | |
| 65 | private: |
| 66 | |
| 67 | }; |
| 68 | |
| 69 | template <int m_N> |
| 70 | class vector_imp_t : public vector_t |
| 71 | { |
| 72 | public: |
| 73 | |
| 74 | vector_imp_t() |
| 75 | : vector_t(m_N) |
| 76 | { |
| 77 | } |
| 78 | |
| 79 | vector_imp_t(int size) |
| 80 | : vector_t(size) |
| 81 | { |
| 82 | assert(m_N == 0); |
| 83 | } |
| 84 | |
| 85 | virtual ~vector_imp_t() {} |
| 86 | |
| 87 | ATTR_HOT inline const int N() const { if (m_N == 0) return m_dim; else return m_N; } |
| 88 | |
| 89 | const double sum(const double * v) |
| 90 | { |
| 91 | const double * RESTRICT vl = v; |
| 92 | double tmp = 0.0; |
| 93 | for (int i=0; i < N(); i++) |
| 94 | tmp += vl[i]; |
| 95 | return tmp; |
| 96 | } |
| 97 | |
| 98 | void sum2(const double * v1, const double * v2, double &s1, double &s2) |
| 99 | { |
| 100 | const double * RESTRICT v1l = v1; |
| 101 | const double * RESTRICT v2l = v2; |
| 102 | for (int i=0; i < N(); i++) |
| 103 | { |
| 104 | s1 += v1l[i]; |
| 105 | s2 += v2l[i]; |
| 106 | } |
| 107 | } |
| 108 | |
| 109 | void sum2a(const double * v1, const double * v2, const double * v3abs, double &s1, double &s2, double &s3abs) |
| 110 | { |
| 111 | const double * RESTRICT v1l = v1; |
| 112 | const double * RESTRICT v2l = v2; |
| 113 | const double * RESTRICT v3l = v3abs; |
| 114 | for (int i=0; i < N(); i++) |
| 115 | { |
| 116 | s1 += v1l[i]; |
| 117 | s2 += v2l[i]; |
| 118 | s3abs += fabs(v3l[i]); |
| 119 | } |
| 120 | } |
| 121 | |
| 122 | const double sumabs(const double * v) |
| 123 | { |
| 124 | const double * RESTRICT vl = v; |
| 125 | double tmp = 0.0; |
| 126 | for (int i=0; i < N(); i++) |
| 127 | tmp += fabs(vl[i]); |
| 128 | return tmp; |
| 129 | } |
| 130 | |
| 131 | private: |
| 132 | }; |
| 133 | |
| 134 | class ATTR_ALIGNED(64) terms_t |
| 135 | { |
| 136 | public: |
| 137 | ATTR_COLD terms_t() {} |
| 138 | |
| 139 | ATTR_COLD void clear() |
| 140 | { |
| 141 | m_term.clear(); |
| 142 | m_net_other.clear(); |
| 143 | m_gt.clear(); |
| 144 | } |
| 145 | |
| 146 | ATTR_COLD void add(netlist_terminal_t *term, int net_other); |
| 147 | |
| 148 | ATTR_HOT inline int count() { return m_term.count(); } |
| 149 | |
| 150 | ATTR_HOT inline netlist_terminal_t **terms() { return m_term; } |
| 151 | ATTR_HOT inline int *net_other() { return m_net_other; } |
| 152 | ATTR_HOT inline double *gt() { return m_gt; } |
| 153 | ATTR_HOT inline double *go() { return m_go; } |
| 154 | ATTR_HOT inline double *Idr() { return m_Idr; } |
| 155 | ATTR_HOT vector_t *ops() { return m_ops; } |
| 156 | |
| 157 | ATTR_COLD void set_pointers(); |
| 158 | |
| 159 | private: |
| 160 | plinearlist_t<netlist_terminal_t *> m_term; |
| 161 | plinearlist_t<int> m_net_other; |
| 162 | plinearlist_t<double> m_gt; |
| 163 | plinearlist_t<double> m_go; |
| 164 | plinearlist_t<double> m_Idr; |
| 165 | vector_t * m_ops; |
| 166 | }; |
| 167 | |
| 168 | class netlist_matrix_solver_t : public netlist_device_t |
| 169 | { |
| 170 | public: |
| 46 | 171 | typedef plinearlist_t<netlist_matrix_solver_t *> list_t; |
| 47 | 172 | typedef netlist_core_device_t::list_t dev_list_t; |
| 48 | 173 | |
| r30754 | r30755 | |
| 53 | 178 | |
| 54 | 179 | ATTR_HOT double solve(); |
| 55 | 180 | |
| 56 | | ATTR_HOT inline bool is_dynamic() { return m_dynamic.count() > 0; } |
| 57 | | ATTR_HOT inline bool is_timestep() { return m_steps.count() > 0; } |
| 181 | ATTR_HOT inline bool is_dynamic() { return m_dynamic_devices.count() > 0; } |
| 182 | ATTR_HOT inline bool is_timestep() { return m_step_devices.count() > 0; } |
| 58 | 183 | |
| 59 | 184 | ATTR_HOT void update_forced(); |
| 60 | 185 | |
| r30754 | r30755 | |
| 70 | 195 | |
| 71 | 196 | protected: |
| 72 | 197 | |
| 73 | | class ATTR_ALIGNED(64) terms_t{ |
| 74 | | |
| 75 | | public: |
| 76 | | terms_t() {} |
| 77 | | |
| 78 | | void clear() |
| 79 | | { |
| 80 | | m_term.clear(); |
| 81 | | m_net_other.clear(); |
| 82 | | m_gt.clear(); |
| 83 | | } |
| 84 | | |
| 85 | | void add(netlist_terminal_t *term, int net_other) |
| 86 | | { |
| 87 | | m_term.add(term); |
| 88 | | m_net_other.add(net_other); |
| 89 | | m_gt.add(0.0); |
| 90 | | m_go.add(0.0); |
| 91 | | m_Idr.add(0.0); |
| 92 | | } |
| 93 | | |
| 94 | | inline int count() { return m_term.count(); } |
| 95 | | |
| 96 | | inline netlist_terminal_t **terms() { return m_term; } |
| 97 | | inline int *net_other() { return m_net_other; } |
| 98 | | inline double *gt() { return m_gt; } |
| 99 | | inline double *go() { return m_go; } |
| 100 | | inline double *Idr() { return m_Idr; } |
| 101 | | |
| 102 | | void set_pointers() |
| 103 | | { |
| 104 | | for (int i = 0; i < count(); i++) |
| 105 | | { |
| 106 | | m_term[i]->m_gt1 = &m_gt[i]; |
| 107 | | m_term[i]->m_go1 = &m_go[i]; |
| 108 | | m_term[i]->m_Idr1 = &m_Idr[i]; |
| 109 | | } |
| 110 | | } |
| 111 | | |
| 112 | | private: |
| 113 | | plinearlist_t<netlist_terminal_t *> m_term; |
| 114 | | plinearlist_t<int> m_net_other; |
| 115 | | plinearlist_t<double> m_gt; |
| 116 | | plinearlist_t<double> m_go; |
| 117 | | plinearlist_t<double> m_Idr; |
| 118 | | |
| 119 | | }; |
| 120 | | |
| 121 | 198 | ATTR_COLD void setup(netlist_analog_net_t::list_t &nets); |
| 122 | 199 | |
| 123 | 200 | // return true if a reschedule is needed ... |
| 124 | 201 | ATTR_HOT virtual int vsolve_non_dynamic() = 0; |
| 125 | 202 | |
| 126 | 203 | ATTR_COLD virtual void add_term(int net_idx, netlist_terminal_t *term) = 0; |
| 127 | | int m_calculations; |
| 128 | 204 | |
| 129 | 205 | plinearlist_t<netlist_analog_net_t *> m_nets; |
| 130 | 206 | plinearlist_t<netlist_analog_output_t *> m_inps; |
| 131 | 207 | |
| 208 | int m_calculations; |
| 209 | |
| 132 | 210 | private: |
| 133 | 211 | |
| 134 | 212 | netlist_time m_last_step; |
| 135 | | dev_list_t m_steps; |
| 136 | | dev_list_t m_dynamic; |
| 213 | dev_list_t m_step_devices; |
| 214 | dev_list_t m_dynamic_devices; |
| 137 | 215 | |
| 138 | 216 | netlist_ttl_input_t m_fb_sync; |
| 139 | 217 | netlist_ttl_output_t m_Q_sync; |
| r30754 | r30755 | |
| 159 | 237 | netlist_matrix_solver_direct_t() |
| 160 | 238 | : netlist_matrix_solver_t() |
| 161 | 239 | , m_dim(0) |
| 162 | | {} |
| 240 | { |
| 241 | for (int k=0; k<_storage_N; k++) |
| 242 | m_A[k] = & m_A_phys[k][0]; |
| 243 | } |
| 163 | 244 | |
| 164 | 245 | virtual ~netlist_matrix_solver_direct_t() {} |
| 165 | 246 | |
| r30754 | r30755 | |
| 173 | 254 | |
| 174 | 255 | ATTR_HOT virtual int vsolve_non_dynamic(); |
| 175 | 256 | ATTR_HOT int solve_non_dynamic(); |
| 176 | | ATTR_HOT inline void build_LE(); |
| 177 | | ATTR_HOT inline void gauss_LE(double (* RESTRICT x)); |
| 178 | | ATTR_HOT inline double delta( |
| 179 | | const double (* RESTRICT V)); |
| 180 | | ATTR_HOT inline void store(const double (* RESTRICT V), const bool store_RHS); |
| 257 | ATTR_HOT void build_LE(); |
| 258 | ATTR_HOT void gauss_LE(double (* RESTRICT x)); |
| 259 | ATTR_HOT double delta(const double (* RESTRICT V)); |
| 260 | ATTR_HOT void store(const double (* RESTRICT V), const bool store_RHS); |
| 181 | 261 | |
| 182 | 262 | ATTR_HOT virtual double compute_next_timestep(const double); |
| 183 | 263 | |
| 184 | | ATTR_ALIGNED(64) double m_A[_storage_N][_storage_N]; |
| 264 | ATTR_ALIGNED(64) double * RESTRICT m_A[_storage_N]; |
| 185 | 265 | ATTR_ALIGNED(64) double m_RHS[_storage_N]; |
| 186 | 266 | ATTR_ALIGNED(64) double m_last_RHS[_storage_N]; // right hand side - contains currents |
| 187 | 267 | |
| 188 | 268 | terms_t m_terms[_storage_N]; |
| 189 | 269 | terms_t m_rails[_storage_N]; |
| 190 | | plinearlist_t<double> xx[_storage_N]; |
| 191 | 270 | |
| 192 | 271 | private: |
| 272 | ATTR_ALIGNED(64) double m_A_phys[_storage_N][((_storage_N + 7) / 8) * 8]; |
| 193 | 273 | |
| 194 | 274 | int m_dim; |
| 195 | 275 | }; |