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Got unpreconditioned conjugate gradient to run and converge on a random (uniform random,

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not even SU(3) for now) gauge field. Convergence history is correctly indepdendent of decomposition
on 1,2,4,8,16 mpi tasks.
Found a couple of simd bugs which required fixed and enhanced the Grid_simd.cc test suite.
Implemented the Mdag, M, MdagM, Meooe Mooee schur type stuff in the wilson dop.
This commit is contained in:
Peter Boyle
2015-05-19 13:57:35 +01:00
parent 6f387b4916
commit a6e1ea216d
33 changed files with 566 additions and 316 deletions
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13
lib/algorithms/LinearOperator.h
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@ -7,8 +7,8 @@ namespace Grid {
// LinearOperators Take a something and return a something.
/////////////////////////////////////////////////////////////////////////////////////////////
//
// Hopefully linearity is satisfied and the AdjOp is indeed the Hermitian conjugate (transpose if real):
//
// Hopefully linearity is satisfied and the AdjOp is indeed the Hermitian conjugateugate (transpose if real):
//SBase
// i) F(a x + b y) = aF(x) + b F(y).
// ii) <x|Op|y> = <y|AdjOp|x>^\ast
//
@ -25,12 +25,13 @@ namespace Grid {
/////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class HermitianOperatorBase : public LinearOperatorBase<Field> {
public:
virtual RealD OpAndNorm(const Field &in, Field &out);
virtual void OpAndNorm(const Field &in, Field &out,double &n1,double &n2);
void AdjOp(const Field &in, Field &out) {
Op(in,out);
};
void Op(const Field &in, Field &out) {
OpAndNorm(in,out);
double n1,n2;
OpAndNorm(in,out,n1,n2);
};
};
@ -80,8 +81,8 @@ namespace Grid {
Matrix &_Mat;
public:
HermitianOperator(Matrix &Mat): _Mat(Mat) {};
RealD OpAndNorm(const Field &in, Field &out){
return _Mat.MdagM(in,out);
void OpAndNorm(const Field &in, Field &out,double &n1,double &n2){
return _Mat.MdagM(in,out,n1,n2);
}
};