FiniteVolumeGPU/GPUSimulators/cuda/SWE2D_WAF.cu

/*
This OpenCL kernel implements the Kurganov-Petrova numerical scheme 
for the shallow water equations, described in 
A. Kurganov & Guergana Petrova
A Second-Order Well-Balanced Positivity Preserving Central-Upwind
Scheme for the Saint-Venant System Communications in Mathematical
Sciences, 5 (2007), 133-160. 

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"



/**
  * Computes the flux along the x axis for all faces
  */
__device__
void computeFluxF(float Q[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) {
            // Q at interface from the right and left
            const float3 Ql2 = make_float3(Q[0][j][i-1], Q[1][j][i-1], Q[2][j][i-1]);
            const float3 Ql1 = make_float3(Q[0][j][i  ], Q[1][j][i  ], Q[2][j][i  ]);
            const float3 Qr1 = make_float3(Q[0][j][i+1], Q[1][j][i+1], Q[2][j][i+1]);
            const float3 Qr2 = make_float3(Q[0][j][i+2], Q[1][j][i+2], Q[2][j][i+2]);

            // Computed flux
            const float3 flux = WAF_1D_flux(Ql2, Ql1, Qr1, Qr2, g_, dx_, dt_);
            F[0][j][i] = flux.x;
            F[1][j][i] = flux.y;
            F[2][j][i] = flux.z;
        }
    }
}








/**
  * Computes the flux along the y axis for all faces
  */
__device__
void computeFluxG(float Q[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) {
            // Q at interface from the right and left
            // Note that we swap hu and hv
            const float3 Ql2 = make_float3(Q[0][j-1][i], Q[2][j-1][i], Q[1][j-1][i]);
            const float3 Ql1 = make_float3(Q[0][j  ][i], Q[2][j  ][i], Q[1][j  ][i]);
            const float3 Qr1 = make_float3(Q[0][j+1][i], Q[2][j+1][i], Q[1][j+1][i]);
            const float3 Qr2 = make_float3(Q[0][j+2][i], Q[2][j+2][i], Q[1][j+2][i]);
            
            // Computed flux
            // Note that we swap back
            const float3 flux = WAF_1D_flux(Ql2, Ql1, Qr1, Qr2, g_, dy_, dt_);
            G[0][j][i] = flux.x;
            G[1][j][i] = flux.z;
            G[2][j][i] = flux.y;
        }
    }
}














extern "C" {
__global__ void WAFKernel(
        int nx_, int ny_,
        float dx_, float dy_, float dt_,
        float g_, 
        
        int step_order_,
        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_) {   
            
    const unsigned int w = BLOCK_WIDTH;
    const unsigned int h = BLOCK_HEIGHT;
    const unsigned int gc = 2;
    const unsigned int vars = 3;
         
    //Shared memory variables
    __shared__ float Q[3][h+4][w+4];
    __shared__ float F[3][h+4][w+4];
    
    
    
    //Read into shared memory Q from global memory
    readBlock<w, h, gc,  1,  1>( h0_ptr_,  h0_pitch_, Q[0], nx_, ny_, boundary_conditions_);
    readBlock<w, h, gc, -1,  1>(hu0_ptr_, hu0_pitch_, Q[1], nx_, ny_, boundary_conditions_);
    readBlock<w, h, gc,  1, -1>(hv0_ptr_, hv0_pitch_, Q[2], nx_, ny_, boundary_conditions_);
    __syncthreads();
    
    
    
    //Step 0 => evolve x first, then y
    if (getStep(step_order_) == 0) {
        //Compute fluxes along the x axis and evolve
        computeFluxF(Q, F, g_, dx_, dt_);
        __syncthreads();
        evolveF<w, h, gc, vars>(Q, F, dx_, dt_);
        __syncthreads();
        
        //Compute fluxes along the y axis and evolve
        computeFluxG(Q, F, g_, dy_, dt_);
        __syncthreads();
        evolveG<w, h, gc, vars>(Q, F, dy_, dt_);
        __syncthreads();
    }
    //Step 1 => evolve y first, then x
    else {
        //Compute fluxes along the y axis and evolve
        computeFluxG(Q, F, g_, dy_, dt_);
        __syncthreads();
        evolveG<w, h, gc, vars>(Q, F, dy_, dt_);
        __syncthreads();
        
        //Compute fluxes along the x axis and evolve
        computeFluxF(Q, F, g_, dx_, dt_);
        __syncthreads();
        evolveF<w, h, gc, vars>(Q, F, dx_, dt_);
        __syncthreads();
    }


    
    // Write to main memory for all internal cells
    const int step = getStep(step_order_);
    const int order = getOrder(step_order_);
    writeBlock<w, h, gc>( h1_ptr_,  h1_pitch_, Q[0], nx_, ny_, step, order);
    writeBlock<w, h, gc>(hu1_ptr_, hu1_pitch_, Q[1], nx_, ny_, step, order);
    writeBlock<w, h, gc>(hv1_ptr_, hv1_pitch_, Q[2], nx_, ny_, step, order);
}

} // extern "C"