|
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p1 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=1.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p1 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=1 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p1 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=1 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p1 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=1.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p1 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=1 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p1 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=1 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p1 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=1.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p2 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=2.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p2 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=2 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p2 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=2 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p2 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=2.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p2 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=2 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p2 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=2 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p2 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=2.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p3 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=3.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p3 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=3 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p3 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=3 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p3 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=3.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p3 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=3 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p3 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=3 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p3 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=3.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p4 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=4.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p4 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=4 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p4 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=4 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p4 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=4.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p4 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=4 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p4 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=4 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p4 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=4.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p5 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=5.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p5 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=5 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p5 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=5 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p5 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=5.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p5 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=5 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p5 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=5 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p5 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=5.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p6 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=6.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p6 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=6 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p6 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=6 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p6 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=6.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p6 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=6 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p6 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=6 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p6 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=6.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p7 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=7.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p7 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=7 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p7 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=7 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p7 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=7.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p7 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=7 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p7 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=7 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p7 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=7.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p8 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=8.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p8 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=8 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p8 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=8 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p8 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=8.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p8 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=8 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p8 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=8 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p8 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=8.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p9 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=9.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p9 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=9 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p9 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=9 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p9 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=9.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p9 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=9 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p9 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=9 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p9 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=9.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p10 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=10.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p10 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=10 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p10 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=10 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p10 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=10.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p10 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=10 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p10 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=10 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p10 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=10.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p11 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=11.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p11 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=11 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p11 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=11 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p11 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=11.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p11 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=11 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p11 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=11 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p11 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=11.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p12 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=12.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p12 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=12 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p12 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=12 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p12 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=12.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p12 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=12 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p12 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=12 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p12 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=12.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p13 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=13.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p13 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=13 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p13 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=13 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p13 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=13.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p13 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=13 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p13 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=13 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p13 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=13.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p14 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=14.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p14 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=14 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p14 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=14 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p14 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=14.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p14 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=14 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p14 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=14 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p14 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=14.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirx_p15 (mat_x, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x direction (first dimension of vec_in) with p=15.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_diry_p15 (mat_y_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the y direction (second dimension of vec_in) with p=15 For a matrix-vector multiplication (vec_out = Mat_y vec_in), the passed variable of Mat_y should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_dirz_p15 (mat_z_tr, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the z direction (third dimension of vec_in) with p=15 For a matrix-vector multiplication (vec_out = Mat_z vec_in), the passed variable of Mat_z should be transposed.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_lift_hexahedral_p15 (lift, vec_in, vec_out) |
| | Calculate a matrix-vector multiplication associated with Lift operations with hexahedral element of p=15.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_gradlike_dirxyz_p15 (mat, mat_tr, vec_in, vec_in_, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=15 For a matrix-vector multiplication (vec_d_out = Mat_d vec_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_divlike_dirxyz_p15 (mat, mat_tr, vec_in_x, vec_in_y, vec_in_z, vec_out_x, vec_out_y, vec_out_z) |
| | Calculate a matrix-vector multiplication associated with mathematical operations in the x, y, and z direction (third dimension of vec_in) with p=15 For a matrix-vector multiplication (vec_d_out = Mat_d vec_d_in where d=x,y,z), the passed variables of Mat_y and Mat_z should be transposed. Note that we assume that vec_in_ has same data as vec_in, but are reshaped via the call of this subroutine.
|
| |
| subroutine, public | scale_element_operation_tensorprod3d_kernel::element_operation_kernel_matvec_modalfilter_p15 (mat_h1d, mat_h1d_tr, mat_v1d_tr, vec_in, vec_work, vec_out) |
| | Calculate a matrix-vector multiplication associated with 3D modal filtering with p=15.
|
| |
