d5/dd1/cuda_2wale__nut__kernel_8h_source.html

#ifndef __COMMON_WALE_NUT_KERNEL_H__

#define __COMMON_WALE_NUT_KERNEL_H__

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#include <cmath>

#include <algorithm>

template< typename T>


__global__ void wale_nut_compute(const T * __restrict__ g11,

                                 const T * __restrict__ g12,

                                 const T * __restrict__ g13,

                                 const T * __restrict__ g21,

                                 const T * __restrict__ g22,

                                 const T * __restrict__ g23,

                                 const T * __restrict__ g31,

                                 const T * __restrict__ g32,

                                 const T * __restrict__ g33,

                                 const T * __restrict__ delta,

                                 T * __restrict__ nut,

                                 const T * __restrict__ mult,

                                 const T c,

                                 const T eps,

                                 const int n){


  const int idx = blockIdx.x * blockDim.x + threadIdx.x;

  const int str = blockDim.x * gridDim.x;


  T s11, s22, s33;

  T s12, s13, s23;

  T gsqr_11, gsqr_12, gsqr_13;

  T gsqr_21, gsqr_22, gsqr_23;

  T gsqr_31, gsqr_32, gsqr_33;

  T sd11, sd22, sd33;

  T sd12, sd13, sd23;

  T Sdij_Sdij, Sij_Sij, OP_wale;


  for (int i = idx; i < n; i += str) {


    const T g11_r = g11[i];

    const T g12_r = g12[i];

    const T g13_r = g13[i];

    const T g21_r = g21[i];

    const T g22_r = g22[i];

    const T g23_r = g23[i];

    const T g31_r = g31[i];

    const T g32_r = g32[i];

    const T g33_r = g33[i];

    const T delta_r = delta[i];


    s11 = g11_r;

    s22 = g22_r;

    s33 = g33_r;

    s12 = 0.5 * (g12_r + g21_r);

    s13 = 0.5 * (g13_r + g31_r);

    s23 = 0.5 * (g23_r + g32_r);


    gsqr_11 = g11_r * g11_r

            + g12_r * g21_r

            + g13_r * g31_r;

    gsqr_12 = g11_r * g12_r

            + g12_r * g22_r

            + g13_r * g32_r;

    gsqr_13 = g11_r * g13_r

            + g12_r * g23_r

            + g13_r * g33_r;

    gsqr_21 = g21_r * g11_r

            + g22_r * g21_r

            + g23_r * g31_r;

    gsqr_22 = g21_r * g12_r

            + g22_r * g22_r

            + g23_r * g32_r;

    gsqr_23 = g21_r * g13_r

            + g22_r * g23_r

            + g23_r * g33_r;

    gsqr_31 = g31_r * g11_r

            + g32_r * g21_r

            + g33_r * g31_r;

    gsqr_32 = g31_r * g12_r

            + g32_r * g22_r

            + g33_r * g32_r;

    gsqr_33 = g31_r * g13_r

            + g32_r * g23_r

            + g33_r * g33_r;


    sd11 = gsqr_11 - ( (gsqr_11 + gsqr_22 + gsqr_33) / 3.0);

    sd22 = gsqr_22 - ( (gsqr_11 + gsqr_22 + gsqr_33) / 3.0);

    sd33 = gsqr_33 - ( (gsqr_11 + gsqr_22 + gsqr_33) / 3.0);

    sd12 = 0.5 * (gsqr_12 + gsqr_21);

    sd13 = 0.5 * (gsqr_13 + gsqr_31);

    sd23 = 0.5 * (gsqr_23 + gsqr_32);


    Sdij_Sdij = sd11*sd11 + sd22*sd22 + sd33*sd33 +

         2.0 * (sd12*sd12 + sd13*sd13 + sd23*sd23);

    Sij_Sij = s11*s11 + s22*s22 + s33*s33 +

         2.0 * (s12*s12 + s13*s13 + s23*s23);

    OP_wale = sqrt(Sdij_Sdij*Sdij_Sdij*Sdij_Sdij) /

         max((sqrt(Sij_Sij*Sij_Sij*Sij_Sij*Sij_Sij*Sij_Sij)

            + sqrt(sqrt(Sdij_Sdij*Sdij_Sdij*Sdij_Sdij*Sdij_Sdij*Sdij_Sdij))),

            eps);


    nut[i] = c * c * delta_r * delta_r

             * OP_wale * mult[i];

  }

}


#endif // __COMMON_WALE_NUT_KERNEL_H__

ale_add_kinematics_kernel
__global__ void ale_add_kinematics_kernel(const int n, T *__restrict__ wx, T *__restrict__ wy, T *__restrict__ wz, const T *__restrict__ x_ref, const T *__restrict__ y_ref, const T *__restrict__ z_ref, const T *__restrict__ phi, const T *__restrict__ x, const T *__restrict__ y, const T *__restrict__ z, const kinematics_params_t kin_params)
Definition ale_kinematics_kernel.h:52

i
const int i
Definition ax_helm_full_kernel.h:95

wale_nut_compute
__global__ void wale_nut_compute(const T *__restrict__ g11, const T *__restrict__ g12, const T *__restrict__ g13, const T *__restrict__ g21, const T *__restrict__ g22, const T *__restrict__ g23, const T *__restrict__ g31, const T *__restrict__ g32, const T *__restrict__ g33, const T *__restrict__ delta, T *__restrict__ nut, const T *__restrict__ mult, const T c, const T eps, const int n)
Definition wale_nut_kernel.h:43

g23
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g23
Definition ax_helm_kernel.h:161

g22
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g22
Definition ax_helm_kernel.h:157

g13
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g13
Definition ax_helm_kernel.h:160

g12
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g12
Definition ax_helm_kernel.h:159

g33
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g33
Definition ax_helm_kernel.h:158

g11
__global__ void const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ const T *__restrict__ g11
Definition ax_helm_kernel.h:156

max
#define max(a, b)
Definition tensor.cu:40