gem5  v20.1.0.0
linear_solver.cc
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37 
38 #include "sim/linear_solver.hh"
39 
42 {
43  // Solve using gauss elimination, not ideal for big matrices
44  std::vector < LinearEquation > smatrix = this->matrix;
45 
46  unsigned order = smatrix.size();
47  for (unsigned row = 0; row < order - 1; row++) {
48  // Look for a non-zero row, and swap
49  for (unsigned i = row; i < order; i++) {
50  if (smatrix[i][row] != 0.0f) {
51  if (i != row) {
52  LinearEquation tmp = smatrix[i];
53  smatrix[i] = smatrix[row];
54  smatrix[row] = tmp;
55  }
56  break;
57  }
58  }
59 
60  // Divide row by leading number to make it 1.0
61  smatrix[row] *= (1.0f / smatrix[row][row]);
62 
63  // Add it (properly scaled) to the rows below
64  for (unsigned i = row + 1; i < order; i++) {
65  LinearEquation t = smatrix[row];
66  t *= -1.0f * smatrix[i][row];
67  smatrix[i] = smatrix[i] + t;
68  }
69  }
70 
71  // smatrix is now a triangular matrix with diagonal being 1
72  // Just backproagate variable values from order-1 till 0
73  std::vector <double> ret(order, 0.0f);
74  for (int row = order - 1; row >= 0; row--) {
75  // Unknown value
76  ret[row] = -smatrix[row][smatrix[row].cnt()] / smatrix[row][row];
77  // Propagate variable in the cnt term
78  for (int i = row - 1; i >= 0; i--) {
79  smatrix[i][smatrix[i].cnt()] += ret[row] * smatrix[i][row];
80  smatrix[i][row] = 0.0f;
81  }
82  }
83 
84  return ret;
85 }
ArmISA::i
Bitfield< 7 > i
Definition: miscregs_types.hh:63
LinearEquation
This class describes a linear equation with constant coefficients.
Definition: linear_solver.hh:52
LinearSystem::solve
std::vector< double > solve() const
Definition: linear_solver.cc:41
std::vector< double >
linear_solver.hh
ArmISA::t
Bitfield< 5 > t
Definition: miscregs_types.hh:67
LinearSystem::matrix
std::vector< LinearEquation > matrix
Definition: linear_solver.hh:129
ArmISA::f
Bitfield< 6 > f
Definition: miscregs_types.hh:64

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