Macros to encapsulate fermion twisting in the dirac operator. More...

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Macros
#define	_declare_vtmp(s)

#define	_vtmp(s)

#define	_suNf_theta_T_multiply(r, u, s)
	Multiply spinor s with matrix u and save the result in spinor s.

#define	_suNf_theta_T_multiply_gpu(r, u, s)

#define	_suNf_theta_T_inverse_multiply(r, u, s)
	Multiply spinor s with the inverse of matrix u and save the result in spinor s.

#define	_suNf_theta_T_inverse_multiply_gpu(r, u, s)

#define	_suNf_theta_X_multiply(r, u, s)
	Multiply spinor s with matrix u and save the result in spinor s.

#define	_suNf_theta_X_multiply_gpu(r, u, s)

#define	_suNf_theta_X_inverse_multiply(r, u, s)
	Multiply spinor s with the inverse of matrix u and save the result in spinor s.

#define	_suNf_theta_X_inverse_multiply_gpu(r, u, s)

#define	_suNf_theta_Y_multiply(r, u, s)
	Multiply spinor s with matrix u and save the result in spinor s.

#define	_suNf_theta_Y_multiply_gpu(r, u, s)

#define	_suNf_theta_Y_inverse_multiply(r, u, s)
	Multiply spinor s with the inverse of matrix u and save the result in spinor s.

#define	_suNf_theta_Y_inverse_multiply_gpu(r, u, s)

#define	_suNf_theta_Z_multiply(r, u, s)
	Multiply spinor s with matrix u and save the result in spinor s.

#define	_suNf_theta_Z_multiply_gpu(r, u, s)

#define	_suNf_theta_Z_inverse_multiply(r, u, s)
	Multiply spinor s with the inverse of matrix u and save the result in spinor s.

#define	_suNf_theta_Z_inverse_multiply_gpu(r, u, s)

Detailed Description

Macros to encapsulate fermion twisting in the dirac operator.

Macro Definition Documentation

◆ _declare_vtmp

#define _declare_vtmp ( s )

Value:

register suNf_vector vtmp; \

register suNf_vector_flt vtmp_flt

◆ _suNf_theta_T_inverse_multiply

#define _suNf_theta_T_inverse_multiply	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

Multiply spinor s with the inverse of matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, its inverse will be applied to s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_T_inverse_multiply_gpu

#define _suNf_theta_T_inverse_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

◆ _suNf_theta_T_multiply

#define _suNf_theta_T_multiply	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

Multiply spinor s with matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, acts on spinor s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_T_multiply_gpu

#define _suNf_theta_T_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

◆ _suNf_theta_X_inverse_multiply

#define _suNf_theta_X_inverse_multiply	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

Multiply spinor s with the inverse of matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, its inverse will be applied to s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_X_inverse_multiply_gpu

#define _suNf_theta_X_inverse_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

◆ _suNf_theta_X_multiply

#define _suNf_theta_X_multiply	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

Multiply spinor s with matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, acts on spinor s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_X_multiply_gpu

#define _suNf_theta_X_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

◆ _suNf_theta_Y_inverse_multiply

#define _suNf_theta_Y_inverse_multiply	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

Multiply spinor s with the inverse of matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, its inverse will be applied to s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_Y_inverse_multiply_gpu

#define _suNf_theta_Y_inverse_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

◆ _suNf_theta_Y_multiply

#define _suNf_theta_Y_multiply	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

Multiply spinor s with matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, acts on spinor s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_Y_multiply_gpu

#define _suNf_theta_Y_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

◆ _suNf_theta_Z_inverse_multiply

#define _suNf_theta_Z_inverse_multiply	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

Multiply spinor s with the inverse of matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, its inverse will be applied to s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_Z_inverse_multiply_gpu

#define _suNf_theta_Z_inverse_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_inverse_multiply((r), (u), (s))

◆ _suNf_theta_Z_multiply

#define _suNf_theta_Z_multiply	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

Multiply spinor s with matrix u and save the result in spinor s.

Parameters

s	input spinor, to be multiplied by matrix
u	input matrix, acts on spinor s
r	output spinor that contains the result of the operation.

◆ _suNf_theta_Z_multiply_gpu

#define _suNf_theta_Z_multiply_gpu	(	r,
		u,
		s )

Value:

_suNf_multiply((r), (u), (s))

◆ _vtmp

#define _vtmp ( s )

Value:

_Generic((s), suNf_vector: vtmp, suNf_vector_flt: vtmp_flt)