mirror of
https://github.com/smyalygames/FiniteVolumeGPU_HIP.git
synced 2025-05-18 14:34:12 +02:00
216 lines
8.1 KiB
Plaintext
216 lines
8.1 KiB
Plaintext
/*
|
|
This OpenCL kernel implements the second order HLL flux
|
|
|
|
Copyright (C) 2016 SINTEF ICT
|
|
|
|
This program is free software: you can redistribute it and/or modify
|
|
it under the terms of the GNU General Public License as published by
|
|
the Free Software Foundation, either version 3 of the License, or
|
|
(at your option) any later version.
|
|
|
|
This program is distributed in the hope that it will be useful,
|
|
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
GNU General Public License for more details.
|
|
|
|
You should have received a copy of the GNU General Public License
|
|
along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
*/
|
|
|
|
|
|
#include "common.h"
|
|
#include "SWECommon.h"
|
|
#include "limiters.h"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
/**
|
|
* Computes the flux along the x axis for all faces
|
|
*/
|
|
__device__
|
|
void computeFluxF(float Q[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
float Qx[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
float F[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
const float g_, const float dx_, const float dt_) {
|
|
for (int j=threadIdx.y; j<BLOCK_HEIGHT+4; j+=BLOCK_HEIGHT) {
|
|
for (int i=threadIdx.x+1; i<BLOCK_WIDTH+2; i+=BLOCK_WIDTH) {
|
|
// Reconstruct point values of Q at the left and right hand side
|
|
// of the cell for both the left (i) and right (i+1) cell
|
|
const float3 Q_rl = make_float3(Q[0][j][i+1] - 0.5f*Qx[0][j][i+1],
|
|
Q[1][j][i+1] - 0.5f*Qx[1][j][i+1],
|
|
Q[2][j][i+1] - 0.5f*Qx[2][j][i+1]);
|
|
const float3 Q_rr = make_float3(Q[0][j][i+1] + 0.5f*Qx[0][j][i+1],
|
|
Q[1][j][i+1] + 0.5f*Qx[1][j][i+1],
|
|
Q[2][j][i+1] + 0.5f*Qx[2][j][i+1]);
|
|
|
|
const float3 Q_ll = make_float3(Q[0][j][i] - 0.5f*Qx[0][j][i],
|
|
Q[1][j][i] - 0.5f*Qx[1][j][i],
|
|
Q[2][j][i] - 0.5f*Qx[2][j][i]);
|
|
const float3 Q_lr = make_float3(Q[0][j][i] + 0.5f*Qx[0][j][i],
|
|
Q[1][j][i] + 0.5f*Qx[1][j][i],
|
|
Q[2][j][i] + 0.5f*Qx[2][j][i]);
|
|
|
|
//Evolve half a timestep (predictor step)
|
|
const float3 Q_r_bar = Q_rl + dt_/(2.0f*dx_) * (F_func(Q_rl, g_) - F_func(Q_rr, g_));
|
|
const float3 Q_l_bar = Q_lr + dt_/(2.0f*dx_) * (F_func(Q_ll, g_) - F_func(Q_lr, g_));
|
|
|
|
// Compute flux based on prediction
|
|
const float3 flux = HLL_flux(Q_l_bar, Q_r_bar, g_);
|
|
|
|
//Write to shared memory
|
|
F[0][j][i] = flux.x;
|
|
F[1][j][i] = flux.y;
|
|
F[2][j][i] = flux.z;
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/**
|
|
* Computes the flux along the x axis for all faces
|
|
*/
|
|
__device__
|
|
void computeFluxG(float Q[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
float Qy[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
float G[3][BLOCK_HEIGHT+4][BLOCK_WIDTH+4],
|
|
const float g_, const float dy_, const float dt_) {
|
|
for (int j=threadIdx.y+1; j<BLOCK_HEIGHT+2; j+=BLOCK_HEIGHT) {
|
|
for (int i=threadIdx.x; i<BLOCK_WIDTH+4; i+=BLOCK_WIDTH) {
|
|
// Reconstruct point values of Q at the left and right hand side
|
|
// of the cell for both the left (i) and right (i+1) cell
|
|
//NOte that hu and hv are swapped ("transposing" the domain)!
|
|
const float3 Q_rl = make_float3(Q[0][j+1][i] - 0.5f*Qy[0][j+1][i],
|
|
Q[2][j+1][i] - 0.5f*Qy[2][j+1][i],
|
|
Q[1][j+1][i] - 0.5f*Qy[1][j+1][i]);
|
|
const float3 Q_rr = make_float3(Q[0][j+1][i] + 0.5f*Qy[0][j+1][i],
|
|
Q[2][j+1][i] + 0.5f*Qy[2][j+1][i],
|
|
Q[1][j+1][i] + 0.5f*Qy[1][j+1][i]);
|
|
|
|
const float3 Q_ll = make_float3(Q[0][j][i] - 0.5f*Qy[0][j][i],
|
|
Q[2][j][i] - 0.5f*Qy[2][j][i],
|
|
Q[1][j][i] - 0.5f*Qy[1][j][i]);
|
|
const float3 Q_lr = make_float3(Q[0][j][i] + 0.5f*Qy[0][j][i],
|
|
Q[2][j][i] + 0.5f*Qy[2][j][i],
|
|
Q[1][j][i] + 0.5f*Qy[1][j][i]);
|
|
|
|
//Evolve half a timestep (predictor step)
|
|
const float3 Q_r_bar = Q_rl + dt_/(2.0f*dy_) * (F_func(Q_rl, g_) - F_func(Q_rr, g_));
|
|
const float3 Q_l_bar = Q_lr + dt_/(2.0f*dy_) * (F_func(Q_ll, g_) - F_func(Q_lr, g_));
|
|
|
|
// Compute flux based on prediction
|
|
const float3 flux = HLL_flux(Q_l_bar, Q_r_bar, g_);
|
|
|
|
//Write to shared memory
|
|
//Note that we here swap hu and hv back to the original
|
|
G[0][j][i] = flux.x;
|
|
G[1][j][i] = flux.z;
|
|
G[2][j][i] = flux.y;
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
extern "C" {
|
|
__global__ void HLL2Kernel(
|
|
int nx_, int ny_,
|
|
float dx_, float dy_, float dt_,
|
|
float g_,
|
|
|
|
float theta_,
|
|
|
|
int step_,
|
|
int boundary_conditions_,
|
|
|
|
//Input h^n
|
|
float* h0_ptr_, int h0_pitch_,
|
|
float* hu0_ptr_, int hu0_pitch_,
|
|
float* hv0_ptr_, int hv0_pitch_,
|
|
|
|
//Output h^{n+1}
|
|
float* h1_ptr_, int h1_pitch_,
|
|
float* hu1_ptr_, int hu1_pitch_,
|
|
float* hv1_ptr_, int hv1_pitch_,
|
|
|
|
//Output CFL
|
|
float* cfl_) {
|
|
|
|
const unsigned int w = BLOCK_WIDTH;
|
|
const unsigned int h = BLOCK_HEIGHT;
|
|
const unsigned int gc_x = 2;
|
|
const unsigned int gc_y = 2;
|
|
const unsigned int vars = 3;
|
|
|
|
//Shared memory variables
|
|
__shared__ float Q[3][h+4][w+4];
|
|
__shared__ float Qx[3][h+4][w+4];
|
|
__shared__ float F[3][h+4][w+4];
|
|
|
|
//Read into shared memory
|
|
readBlock<w, h, gc_x, gc_y, 1, 1>( h0_ptr_, h0_pitch_, Q[0], nx_, ny_, boundary_conditions_);
|
|
readBlock<w, h, gc_x, gc_y, -1, 1>(hu0_ptr_, hu0_pitch_, Q[1], nx_, ny_, boundary_conditions_);
|
|
readBlock<w, h, gc_x, gc_y, 1, -1>(hv0_ptr_, hv0_pitch_, Q[2], nx_, ny_, boundary_conditions_);
|
|
|
|
//Step 0 => evolve x first, then y
|
|
if (step_ == 0) {
|
|
//Compute fluxes along the x axis and evolve
|
|
minmodSlopeX<w, h, gc_x, gc_y, vars>(Q, Qx, theta_);
|
|
__syncthreads();
|
|
computeFluxF(Q, Qx, F, g_, dx_, dt_);
|
|
__syncthreads();
|
|
evolveF<w, h, gc_x, gc_y, vars>(Q, F, dx_, dt_);
|
|
__syncthreads();
|
|
|
|
//Compute fluxes along the y axis and evolve
|
|
minmodSlopeY<w, h, gc_x, gc_y, vars>(Q, Qx, theta_);
|
|
__syncthreads();
|
|
computeFluxG(Q, Qx, F, g_, dy_, dt_);
|
|
__syncthreads();
|
|
evolveG<w, h, gc_x, gc_y, vars>(Q, F, dy_, dt_);
|
|
__syncthreads();
|
|
}
|
|
//Step 1 => evolve y first, then x
|
|
else {
|
|
//Compute fluxes along the y axis and evolve
|
|
minmodSlopeY<w, h, gc_x, gc_y, vars>(Q, Qx, theta_);
|
|
__syncthreads();
|
|
computeFluxG(Q, Qx, F, g_, dy_, dt_);
|
|
__syncthreads();
|
|
evolveG<w, h, gc_x, gc_y, vars>(Q, F, dy_, dt_);
|
|
__syncthreads();
|
|
|
|
//Compute fluxes along the x axis and evolve
|
|
minmodSlopeX<w, h, gc_x, gc_y, vars>(Q, Qx, theta_);
|
|
__syncthreads();
|
|
computeFluxF(Q, Qx, F, g_, dx_, dt_);
|
|
__syncthreads();
|
|
evolveF<w, h, gc_x, gc_y, vars>(Q, F, dx_, dt_);
|
|
__syncthreads();
|
|
}
|
|
|
|
|
|
|
|
|
|
// Write to main memory for all internal cells
|
|
writeBlock<w, h, gc_x, gc_y>( h1_ptr_, h1_pitch_, Q[0], nx_, ny_, 0, 1);
|
|
writeBlock<w, h, gc_x, gc_y>(hu1_ptr_, hu1_pitch_, Q[1], nx_, ny_, 0, 1);
|
|
writeBlock<w, h, gc_x, gc_y>(hv1_ptr_, hv1_pitch_, Q[2], nx_, ny_, 0, 1);
|
|
|
|
//Compute the CFL for this block
|
|
if (cfl_ != NULL) {
|
|
writeCfl<w, h, gc_x, gc_y, vars>(Q, F[0], nx_, ny_, dx_, dy_, g_, cfl_);
|
|
}
|
|
}
|
|
|
|
} // extern "C" |