d1/daa/hip_2smagorinsky__nut__kernel_8h_source.html

#ifndef __COMMON_SMAGORINSKY_NUT_KERNEL_H__

#define __COMMON_SMAGORINSKY_NUT_KERNEL_H__

/*

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   * Redistributions in binary form must reproduce the above

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     with the distribution.


   * Neither the name of the authors nor the names of its

     contributors may be used to endorse or promote products derived

     from this software without specific prior written permission.


 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS

 "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT

 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS

 FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE

 COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,

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 BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;

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*/


#include <cmath>

#include <algorithm>

template< typename T>


__global__ void smagorinsky_nut_compute(const T * __restrict__ s11,

                                      const T * __restrict__ s22,

                                      const T * __restrict__ s33,

                                      const T * __restrict__ s12,

                                      const T * __restrict__ s13,

                                      const T * __restrict__ s23,

                                      const T * __restrict__ delta,

                                      T * __restrict__ nut,

                                      const T * __restrict__ mult,

                                      const T c_s,

                                      const int n){


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

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


  T s_abs;


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


    const T s11_r = s11[i];

    const T s22_r = s22[i];

    const T s33_r = s33[i];

    const T s12_r = s12[i];

    const T s13_r = s13[i];

    const T s23_r = s23[i];

    const T delta_r = delta[i];


    s_abs = sqrt(2.0 * (s11_r * s11_r +

                        s22_r * s22_r +

                        s33_r * s33_r) +

                 4.0 * (s12_r * s12_r +

                        s13_r * s13_r +

                        s23_r * s23_r));


    nut[i] = c_s * c_s * delta_r * delta_r * s_abs * mult[i];

  }

}


#endif // __COMMON_SMAGORINSKY_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

smagorinsky_nut_compute
__global__ void smagorinsky_nut_compute(const T *__restrict__ s11, const T *__restrict__ s22, const T *__restrict__ s33, const T *__restrict__ s12, const T *__restrict__ s13, const T *__restrict__ s23, const T *__restrict__ delta, T *__restrict__ nut, const T *__restrict__ mult, const T c_s, const int n)
Definition smagorinsky_nut_kernel.h:43