arch,sim: Convert clone to GuestABI and define a cloneBackwardsFunc.
[gem5.git] / src / sim / linear_solver.cc
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37
38 #include "sim/linear_solver.hh"
39
40 std::vector <double>
41 LinearSystem::solve() const
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 }