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Init_gpu.cu
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Init_gpu.cu
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void CUDA_CHECK(cudaError CUDerr)
{
if (cudaSuccess != CUDerr) {
fprintf(stderr, "Cuda error in file '%s' in line %i : %s.\n", \
__FILE__, __LINE__, cudaGetErrorString(CUDerr));
exit(EXIT_FAILURE);
}
}
template <class T> void Allocate1GPU(int nx, int ny, T *&zb_g)
{
CUDA_CHECK(cudaMalloc((void **)&zb_g, nx*ny * sizeof(T)));
}
template <class T> void Allocate4GPU(int nx, int ny, T *&zs_g, T *&hh_g, T *&uu_g, T *&vv_g)
{
CUDA_CHECK(cudaMalloc((void **)&zs_g, nx*ny * sizeof(T)));
CUDA_CHECK(cudaMalloc((void **)&hh_g, nx*ny * sizeof(T)));
CUDA_CHECK(cudaMalloc((void **)&uu_g, nx*ny * sizeof(T)));
CUDA_CHECK(cudaMalloc((void **)&vv_g, nx*ny * sizeof(T)));
}
void checkGradGPU(Param XParam)
{
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
gradientGPUXYBUQ << <gridDim, blockDim, 0 >> >((float)XParam.theta, (float)XParam.delta, leftblk_g, rightblk_g, topblk_g, botblk_g, hh_g, dhdx_g, dhdy_g);
CUDA_CHECK(cudaDeviceSynchronize());
gradient(XParam.nblk, XParam.blksize, (float)XParam.theta, (float)XParam.delta, leftblk, rightblk, topblk, botblk, hh, dhdx, dhdy);
CUDA_CHECK(cudaMemcpy(dummy, dhdx_g, XParam.nblk*XParam.blksize * sizeof(float), cudaMemcpyDeviceToHost));
float mdiff = maxdiff(XParam.nblk*XParam.blksize, dhdx, dummy);
float maxerr = 1e-11f;//1e-7f
if (mdiff > maxerr)
{
printf("High error in dhdx: %f\n", mdiff);
}
}
int AllocMemGPU(Param XParam)
{
//function to allocate the memory on the GPU
// Also prepare textures
// Pointers are Global !
//Need to add a sucess check for each call to malloc
int nblk = XParam.nblk;
int blksize = XParam.blksize;
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
Allocate1GPU(nblk, blksize, zb_gd);
Allocate4GPU(nblk, blksize, zs_gd, hh_gd, uu_gd, vv_gd);
Allocate4GPU(nblk, blksize, zso_gd, hho_gd, uuo_gd, vvo_gd);
Allocate4GPU(nblk, blksize, dzsdx_gd, dhdx_gd, dudx_gd, dvdx_gd);
Allocate4GPU(nblk, blksize, dzsdy_gd, dhdy_gd, dudy_gd, dvdy_gd);
Allocate4GPU(nblk, blksize, Su_gd, Sv_gd, Fhu_gd, Fhv_gd);
Allocate4GPU(nblk, blksize, Fqux_gd, Fquy_gd, Fqvx_gd, Fqvy_gd);
Allocate4GPU(nblk, blksize, dh_gd, dhu_gd, dhv_gd, dtmax_gd);
Allocate1GPU(nblk, blksize, cf_gd);
Allocate1GPU(nblk, 1, blockxo_gd);
Allocate1GPU(nblk, 1, blockyo_gd);
arrmin_d = (double *)malloc(nblk* blksize * sizeof(double));
CUDA_CHECK(cudaMalloc((void **)&arrmin_gd, nblk* blksize * sizeof(double)));
CUDA_CHECK(cudaMalloc((void **)&arrmax_gd, nblk* blksize * sizeof(double)));
if (XParam.outhhmax == 1)
{
Allocate1GPU(nblk, blksize, hhmax_gd);
}
if (XParam.outzsmax == 1)
{
Allocate1GPU(nblk, blksize, zsmax_gd);
}
if (XParam.outuumax == 1)
{
Allocate1GPU(nblk, blksize, uumax_gd);
}
if (XParam.outvvmax == 1)
{
Allocate1GPU(nblk, blksize, vvmax_gd);
}
if (XParam.outhhmean == 1)
{
Allocate1GPU(nblk, blksize, hhmean_gd);
}
if (XParam.outzsmean == 1)
{
Allocate1GPU(nblk, blksize, zsmean_gd);
}
if (XParam.outuumean == 1)
{
Allocate1GPU(nblk, blksize, uumean_gd);
}
if (XParam.outvvmean == 1)
{
Allocate1GPU(nblk, blksize, vvmean_gd);
}
if (XParam.outvort == 1)
{
Allocate1GPU(nblk, blksize, vort_gd);
}
if (XParam.TSnodesout.size() > 0)
{
// Allocate mmemory to store TSoutput in between writing to disk
int nTS = 1; // Nb of points
int nvts = 1; // NB of variables hh, zs, uu, vv
int nstore = 2048; //store up to 2048 pts
TSstore_d = (double *)malloc(nTS*nvts*nstore * sizeof(double));
CUDA_CHECK(cudaMalloc((void **)&TSstore_gd, nTS*nvts*nstore * sizeof(double)));
//Cpu part done differently because there are no latency issue (i.e. none that I care about)
}
}
else
{
Allocate1GPU(nblk, blksize, zb_g);
Allocate4GPU(nblk, blksize, zs_g, hh_g, uu_g, vv_g);
Allocate4GPU(nblk, blksize, zso_g, hho_g, uuo_g, vvo_g);
Allocate4GPU(nblk, blksize, dzsdx_g, dhdx_g, dudx_g, dvdx_g);
Allocate4GPU(nblk, blksize, dzsdy_g, dhdy_g, dudy_g, dvdy_g);
Allocate4GPU(nblk, blksize, Su_g, Sv_g, Fhu_g, Fhv_g);
Allocate4GPU(nblk, blksize, Fqux_g, Fquy_g, Fqvx_g, Fqvy_g);
Allocate4GPU(nblk, blksize, dh_g, dhu_g, dhv_g, dtmax_g);
Allocate1GPU(nblk, blksize, cf_g);
Allocate1GPU(nblk, 1, blockxo_g);
Allocate1GPU(nblk, 1, blockyo_g);
arrmin = (float *)malloc(nblk*blksize * sizeof(float));
CUDA_CHECK(cudaMalloc((void **)&arrmin_g, nblk*blksize * sizeof(float)));
CUDA_CHECK(cudaMalloc((void **)&arrmax_g, nblk*blksize * sizeof(float)));
if (XParam.outhhmax == 1)
{
CUDA_CHECK(cudaMalloc((void **)&hhmax_g, nblk*blksize * sizeof(float)));
}
if (XParam.outzsmax == 1)
{
CUDA_CHECK(cudaMalloc((void **)&zsmax_g, nblk*blksize * sizeof(float)));
}
if (XParam.outuumax == 1)
{
CUDA_CHECK(cudaMalloc((void **)&uumax_g, nblk*blksize * sizeof(float)));
}
if (XParam.outvvmax == 1)
{
CUDA_CHECK(cudaMalloc((void **)&vvmax_g, nblk*blksize * sizeof(float)));
}
if (XParam.outhhmean == 1)
{
CUDA_CHECK(cudaMalloc((void **)&hhmean_g, nblk*blksize * sizeof(float)));
}
if (XParam.outzsmean == 1)
{
CUDA_CHECK(cudaMalloc((void **)&zsmean_g, nblk*blksize * sizeof(float)));
}
if (XParam.outuumean == 1)
{
CUDA_CHECK(cudaMalloc((void **)&uumean_g, nblk*blksize * sizeof(float)));
}
if (XParam.outvvmean == 1)
{
CUDA_CHECK(cudaMalloc((void **)&vvmean_g, nblk*blksize * sizeof(float)));
}
if (XParam.outvort == 1)
{
CUDA_CHECK(cudaMalloc((void **)&vort_g, nblk*blksize * sizeof(float)));
}
if (XParam.TSnodesout.size() > 0)
{
// Allocate mmemory to store TSoutput in between writing to disk
int nTS = 1; // Nb of points
int nvts = 1; // NB of variables hh, zs, uu, vv
int nstore = 2048; //store up to 2048 pts
TSstore = (float *)malloc(nTS*nvts*nstore * sizeof(float));
CUDA_CHECK(cudaMalloc((void **)&TSstore_g, nTS*nvts*nstore * sizeof(float)));
//Cpu part done differently because there are no latency issue (i.e. none that I care about)
}
}
Allocate4GPU(nblk, 1, leftblk_g, rightblk_g, topblk_g, botblk_g);
return 1;
}
int allocTexMem(bndparam bnd, cudaArray * &WLS, cudaArray * &Uvel, cudaArray * &Vvel, cudaChannelFormatDesc &CFDbndzs, cudaChannelFormatDesc &CFDbnduu, cudaChannelFormatDesc &CFDbndvv, texture<float, 2, cudaReadModeElementType> &TexZs, texture<float, 2, cudaReadModeElementType> &TexU, texture<float, 2, cudaReadModeElementType> &TexV)
{
int nbndtimes = (int)bnd.data.size();
int nbndvec = (int)bnd.data[0].wlevs.size();
CUDA_CHECK(cudaMallocArray(&WLS, &CFDbndzs, nbndtimes, nbndvec));
float * lWLS;
lWLS = (float *)malloc(nbndtimes * nbndvec * sizeof(float));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
lWLS[ibndt + ibndv*nbndtimes] = bnd.data[ibndt].wlevs[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(WLS, 0, 0, lWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
TexZs.addressMode[0] = cudaAddressModeClamp;
TexZs.addressMode[1] = cudaAddressModeClamp;
TexZs.filterMode = cudaFilterModeLinear;
TexZs.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(TexZs, WLS, CFDbndzs));
// In case of Nesting U and V are also prescribed
// If uu information is available in the boundary we can assume it is a nesting type of bnd
int nbndvecuu = (int)bnd.data[0].uuvel.size();
if (nbndvecuu == nbndvec)
{
CUDA_CHECK(cudaMallocArray(&Uvel, &CFDbnduu, nbndtimes, nbndvec));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
lWLS[ibndt + ibndv * nbndtimes] =bnd.data[ibndt].uuvel[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(Uvel, 0, 0, lWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
TexU.addressMode[0] = cudaAddressModeClamp;
TexU.addressMode[1] = cudaAddressModeClamp;
TexU.filterMode = cudaFilterModeLinear;
TexU.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(TexU, Uvel, CFDbnduu));
}
//V velocity side
int nbndvecvv = (int)bnd.data[0].vvvel.size();
if (nbndvecvv == nbndvec)
{
CUDA_CHECK(cudaMallocArray(&Vvel, &CFDbndvv, nbndtimes, nbndvec));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
lWLS[ibndt + ibndv * nbndtimes] = bnd.data[ibndt].vvvel[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(Vvel, 0, 0, lWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
TexV.addressMode[0] = cudaAddressModeClamp;
TexV.addressMode[1] = cudaAddressModeClamp;
TexV.filterMode = cudaFilterModeLinear;
TexV.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(TexV, Vvel, CFDbndvv));
}
///BEWARE
/// The cases above is not dealing with weird situation where nbndvecvv != nbndvec != nbndvecuu
free(lWLS);
return 1;
}
int AllocMemGPUBND(Param XParam)
{
// Allocate textures and bind arrays for boundary interpolation
Allocate1GPU(XParam.leftbnd.nblk, 1, bndleftblk_g);
Allocate1GPU(XParam.rightbnd.nblk, 1, bndrightblk_g);
Allocate1GPU(XParam.topbnd.nblk, 1, bndtopblk_g);
Allocate1GPU(XParam.botbnd.nblk, 1, bndbotblk_g);
if (XParam.leftbnd.on)
{
allocTexMem(XParam.leftbnd, leftWLS_gp, leftUvel_gp, leftVvel_gp, channelDescleftbndzs, channelDescleftbnduu, channelDescleftbndvv, texLZsBND, texLUBND, texLVBND);
/*
//leftWLbnd = readWLfile(XParam.leftbndfile);
//Flatten bnd to copy to cuda array
int nbndtimes = (int)XParam.leftbnd.data.size();
int nbndvec = (int)XParam.leftbnd.data[0].wlevs.size();
CUDA_CHECK(cudaMallocArray(&leftWLS_gp, &channelDescleftbndzs, nbndtimes, nbndvec));
// This below was float by default and probably should remain float as long as fetched floats are readily converted to double as needed
float * leftWLS;
leftWLS = (float *)malloc(nbndtimes * nbndvec * sizeof(float));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
leftWLS[ibndt + ibndv*nbndtimes] = XParam.leftbnd.data[ibndt].wlevs[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(leftWLS_gp, 0, 0, leftWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
texLZsBND.addressMode[0] = cudaAddressModeClamp;
texLZsBND.addressMode[1] = cudaAddressModeClamp;
texLZsBND.filterMode = cudaFilterModeLinear;
texLZsBND.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(texLZsBND, leftWLS_gp, channelDescleftbndzs));
// In case of Nesting U and V are also prescribed
// If uu information is available in the boundary we can assume it is a nesting type of bnd
int nbndvecuu = (int)XParam.leftbnd.data[0].uuvel.size();
if (nbndvecuu == nbndvec)
{
CUDA_CHECK(cudaMallocArray(&leftUvel_gp, &channelDescleftbnduu, nbndtimes, nbndvec));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
leftWLS[ibndt + ibndv*nbndtimes] = XParam.leftbnd.data[ibndt].uuvel[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(leftUvel_gp, 0, 0, leftWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
texLUBND.addressMode[0] = cudaAddressModeClamp;
texLUBND.addressMode[1] = cudaAddressModeClamp;
texLUBND.filterMode = cudaFilterModeLinear;
texLUBND.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(texLUBND, leftUvel_gp, channelDescleftbnduu));
}
//V velocity side
int nbndvecvv = (int)XParam.leftbnd.data[0].vvvel.size();
if (nbndvecvv == nbndvec )
{
CUDA_CHECK(cudaMallocArray(&leftVvel_gp, &channelDescleftbndvv, nbndtimes, nbndvec));
for (int ibndv = 0; ibndv < nbndvec; ibndv++)
{
for (int ibndt = 0; ibndt < nbndtimes; ibndt++)
{
//
leftWLS[ibndt + ibndv*nbndtimes] = XParam.leftbnd.data[ibndt].vvvel[ibndv];
}
}
CUDA_CHECK(cudaMemcpyToArray(leftVvel_gp, 0, 0, leftWLS, nbndtimes * nbndvec * sizeof(float), cudaMemcpyHostToDevice));
texLVBND.addressMode[0] = cudaAddressModeClamp;
texLVBND.addressMode[1] = cudaAddressModeClamp;
texLVBND.filterMode = cudaFilterModeLinear;
texLVBND.normalized = false;
CUDA_CHECK(cudaBindTextureToArray(texLVBND, leftVvel_gp, channelDescleftbndvv));
}
///BEWARE
/// The cases above is not dealing with weird situation where nbndvecvv != nbndvec != nbndvecuu
free(leftWLS);
*/
}
if (XParam.rightbnd.on)
{
allocTexMem(XParam.rightbnd, rightWLS_gp, rightUvel_gp, rightVvel_gp, channelDescrightbndzs, channelDescrightbnduu, channelDescrightbndvv, texRZsBND, texRUBND, texRVBND);
}
if (XParam.topbnd.on)
{
allocTexMem(XParam.topbnd, topWLS_gp, topUvel_gp, topVvel_gp, channelDesctopbndzs, channelDesctopbnduu, channelDesctopbndvv, texTZsBND, texTUBND, texTVBND);
}
if (XParam.botbnd.on)
{
allocTexMem(XParam.botbnd, botWLS_gp, botUvel_gp, botVvel_gp, channelDescbotbndzs, channelDescbotbnduu, channelDescbotbndvv, texBZsBND, texBUBND, texBVBND);
}
return 1;
}
void LeftFlowBnd(Param XParam)
{
//
//int nx = XParam.nx;
//int ny = XParam.ny;
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
dim3 gridDimLBND(XParam.leftbnd.nblk, 1, 1);
if (XParam.leftbnd.on)
{
int SLstepinbnd = 1;
// Do this for all the corners
//Needs limiter in case WLbnd is empty
double difft = XParam.leftbnd.data[SLstepinbnd].time - XParam.totaltime;
while (difft < 0.0)
{
SLstepinbnd++;
difft = XParam.leftbnd.data[SLstepinbnd].time - XParam.totaltime;
}
if (XParam.GPUDEVICE >= 0)
{
//leftdirichlet(int nx, int ny, int nybnd, float g, float itime, float *zs, float *zb, float *hh, float *uu, float *vv)
double itime = SLstepinbnd - 1.0 + (XParam.totaltime - XParam.leftbnd.data[SLstepinbnd - 1].time) / (XParam.leftbnd.data[SLstepinbnd].time - XParam.leftbnd.data[SLstepinbnd - 1].time);
if (XParam.leftbnd.type == 2 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
dirichlet << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.xmax, XParam.yo, XParam.ymax, itime, bndleftblk_g, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.leftbnd.type == 2)
{
dirichlet << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.xmax, (float)XParam.yo, (float)XParam.ymax, (float)itime, bndleftblk_g, rightblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
//leftdirichlet << <gridDimLBND, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.ymax, (float)itime, rightblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
if (XParam.leftbnd.type == 3 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1D << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndleftblk_g,rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.leftbnd.type == 3)
{
ABS1D << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndleftblk_g, rightblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
if (XParam.leftbnd.type == 4 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1DNEST << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndleftblk_g, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.leftbnd.type == 4)
{
ABS1DNEST << <gridDimLBND, blockDim, 0 >> > (-1, 0, (int)XParam.leftbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndleftblk_g, rightblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
std::vector<double> zsbndleft;
for (int n = 0; n < XParam.leftbnd.data[SLstepinbnd].wlevs.size(); n++)
{
zsbndleft.push_back(interptime(XParam.leftbnd.data[SLstepinbnd].wlevs[n], XParam.leftbnd.data[SLstepinbnd - 1].wlevs[n], XParam.leftbnd.data[SLstepinbnd].time - XParam.leftbnd.data[SLstepinbnd - 1].time, XParam.totaltime - XParam.leftbnd.data[SLstepinbnd - 1].time));
}
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
leftdirichletCPUD(XParam.nblk, XParam.blksize, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndleft, blockxo_d, blockyo_d, zs_d, zb_d, hh_d, uu_d, vv_d);
}
else
{
//void leftdirichletCPU(int nblk, int blksize, float xo,float yo, float g, float dx, std::vector<double> zsbndvec, float * blockxo,float * blockyo, float *zs, float *zb, float *hh, float *uu, float *vv)
//leftdirichletCPU(nx, ny, (float)XParam.g, zsbndleft, zs, zb, hh, uu, vv);
leftdirichletCPU(XParam.nblk, XParam.blksize, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndleft, blockxo, blockyo, zs, zb, hh, uu, vv);
}
}
}
if (XParam.leftbnd.type == 0)
{
if (XParam.GPUDEVICE >= 0)
{
//
//dim3 blockDim(16, 16, 1);
//dim3 gridDim(XParam.nblk, 1, 1);
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
noslipbnd << <gridDimLBND, blockDim, 0 >> >(-1, 0, bndleftblk_g, rightblk_g, zs_gd, hh_gd, uu_gd);
//noslipbndLeft << <gridDim, blockDim, 0 >> > (XParam.xo, XParam.eps, rightblk_g, blockxo_gd, zb_gd, zs_gd, hh_gd, uu_gd, vv_gd);
}
else
{
noslipbnd << <gridDimLBND, blockDim, 0 >> >(-1, 0, bndleftblk_g, rightblk_g, zs_g, hh_g, uu_g);
//noslipbndLeft << <gridDim, blockDim, 0 >> > ((float)XParam.xo, (float)XParam.eps, rightblk_g, blockxo_g, zb_g, zs_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
noslipbndLCPU(XParam);
}
}
//else neumann bnd (is already built in the solver)
}
void RightFlowBnd(Param XParam)
{
//
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
dim3 gridDimRBND(XParam.rightbnd.nblk, 1, 1);
if (XParam.rightbnd.on)
{
int SLstepinbnd = 1;
// Do this for all the corners
//Needs limiter in case WLbnd is empty
double difft = XParam.rightbnd.data[SLstepinbnd].time - XParam.totaltime;
while (difft < 0.0)
{
SLstepinbnd++;
difft = XParam.rightbnd.data[SLstepinbnd].time - XParam.totaltime;
}
if (XParam.GPUDEVICE >= 0)
{
//leftdirichlet(int nx, int ny, int nybnd, float g, float itime, float *zs, float *zb, float *hh, float *uu, float *vv)
double itime = SLstepinbnd - 1.0 + (XParam.totaltime - XParam.rightbnd.data[SLstepinbnd - 1].time) / (XParam.rightbnd.data[SLstepinbnd].time - XParam.rightbnd.data[SLstepinbnd - 1].time);
if (XParam.rightbnd.type == 2 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
dirichlet << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.xmax, XParam.yo, XParam.ymax, itime, bndrightblk_g, leftblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
//rightdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.rightbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xmax, XParam.ymax, itime, leftblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.rightbnd.type == 2)
{
dirichlet << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.xmax, (float)XParam.yo, (float)XParam.ymax, (float)itime, bndrightblk_g, leftblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
//rightdirichlet << <gridDim, blockDim, 0 >> > ((int)XParam.rightbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xmax, (float)XParam.ymax, (float)itime, leftblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
else if (XParam.rightbnd.type == 3 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1D << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndrightblk_g, leftblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.rightbnd.type == 3)
{
ABS1D << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndrightblk_g, leftblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
if (XParam.rightbnd.type == 4 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1DNEST << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndrightblk_g, leftblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.rightbnd.type == 4)
{
ABS1DNEST << <gridDimRBND, blockDim, 0 >> > (1, 0, (int)XParam.rightbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndrightblk_g, leftblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
std::vector<double> zsbndright;
for (int n = 0; n < XParam.rightbnd.data[SLstepinbnd].wlevs.size(); n++)
{
zsbndright.push_back(interptime(XParam.rightbnd.data[SLstepinbnd].wlevs[n], XParam.rightbnd.data[SLstepinbnd - 1].wlevs[n], XParam.rightbnd.data[SLstepinbnd].time - XParam.rightbnd.data[SLstepinbnd - 1].time, XParam.totaltime - XParam.rightbnd.data[SLstepinbnd - 1].time));
}
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
rightdirichletCPUD(XParam.nblk, XParam.blksize, XParam.nx, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndright, blockxo_d, blockyo_d, zs_d, zb_d, hh_d, uu_d, vv_d);
}
else
{
//rightdirichletCPU(nx, ny, (float)XParam.g, zsbndright, zs, zb, hh, uu, vv);
rightdirichletCPU(XParam.nblk, XParam.blksize, XParam.nx, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndright, blockxo, blockyo, zs, zb, hh, uu, vv);
}
}
}
if (XParam.rightbnd.type == 0)
{
if (XParam.GPUDEVICE >= 0)
{
//
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
noslipbnd << <gridDimRBND, blockDim, 0 >> >(1, 0, bndrightblk_g, leftblk_g, zs_gd, hh_gd, uu_gd);
//noslipbndRight << <gridDim, blockDim, 0 >> > (XParam.dx, XParam.xmax, XParam.eps, leftblk_g, blockxo_gd, zb_gd, zs_gd, hh_gd, uu_gd, vv_gd);
}
else
{
noslipbnd << <gridDimRBND, blockDim, 0 >> >(1, 0, bndrightblk_g, leftblk_g, zs_g, hh_g, uu_g);
//noslipbndRight << <gridDim, blockDim, 0 >> > ((float)XParam.dx, (float)XParam.xmax, (float)XParam.eps, leftblk_g, blockxo_g, zb_g, zs_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
noslipbndRCPU(XParam);
}
}
//else neumann bnd (is already built in the algorithm)
}
void TopFlowBnd(Param XParam)
{
//
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
dim3 gridDimTBND(XParam.topbnd.nblk, 1, 1);
if (XParam.topbnd.on)
{
int SLstepinbnd = 1;
// Do this for all the corners
//Needs limiter in case WLbnd is empty
double difft = XParam.topbnd.data[SLstepinbnd].time - XParam.totaltime;
while (difft < 0.0)
{
SLstepinbnd++;
difft = XParam.topbnd.data[SLstepinbnd].time - XParam.totaltime;
}
if (XParam.GPUDEVICE >= 0)
{
//leftdirichlet(int nx, int ny, int nybnd, float g, float itime, float *zs, float *zb, float *hh, float *uu, float *vv)
double itime = SLstepinbnd - 1.0 + (XParam.totaltime - XParam.topbnd.data[SLstepinbnd - 1].time) / (XParam.topbnd.data[SLstepinbnd].time - XParam.topbnd.data[SLstepinbnd - 1].time);
if (XParam.topbnd.type == 2 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
dirichlet << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.xmax, XParam.yo, XParam.ymax, itime, bndtopblk_g, botblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, vv_gd, uu_gd);
//topdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.topbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xmax, XParam.ymax, itime, botblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.topbnd.type == 2)
{
dirichlet << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.xmax, (float)XParam.yo, (float)XParam.ymax, (float)itime, bndtopblk_g, botblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
//topdirichlet << <gridDim, blockDim, 0 >> > ((int)XParam.topbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xmax, (float)XParam.ymax, (float)itime, botblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
else if (XParam.topbnd.type == 3 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1D << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndtopblk_g, botblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.topbnd.type == 3)
{
ABS1D << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndtopblk_g, botblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
}
if (XParam.topbnd.type == 4 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1DNEST << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndtopblk_g, botblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, vv_gd, uu_gd);
}
else if (XParam.topbnd.type == 4)
{
ABS1DNEST << <gridDimTBND, blockDim, 0 >> > (0, 1, (int)XParam.topbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndtopblk_g, botblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
std::vector<double> zsbndtop;
for (int n = 0; n < XParam.topbnd.data[SLstepinbnd].wlevs.size(); n++)
{
zsbndtop.push_back(interptime(XParam.topbnd.data[SLstepinbnd].wlevs[n], XParam.topbnd.data[SLstepinbnd - 1].wlevs[n], XParam.topbnd.data[SLstepinbnd].time - XParam.topbnd.data[SLstepinbnd - 1].time, XParam.totaltime - XParam.topbnd.data[SLstepinbnd - 1].time));
}
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
topdirichletCPUD(XParam.nblk, XParam.blksize, XParam.ny, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndtop, blockxo_d, blockyo_d, zs_d, zb_d, hh_d, uu_d, vv_d);
}
else
{
//topdirichletCPU(nx, ny, (float)XParam.g, zsbndtop, zs, zb, hh, uu, vv);
topdirichletCPU(XParam.nblk, XParam.blksize, XParam.ny, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndtop, blockxo, blockyo, zs, zb, hh, uu, vv);
}
}
}
if (XParam.topbnd.type == 0)
{
if (XParam.GPUDEVICE >= 0)
{
//
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
noslipbnd << <gridDimTBND, blockDim, 0 >> >(0, 1, bndtopblk_g, botblk_g, zs_gd, hh_gd, vv_gd);
//noslipbndTop << <gridDim, blockDim, 0 >> > (XParam.dx, XParam.ymax, XParam.eps, botblk_g, blockyo_gd, zb_gd, zs_gd, hh_gd, uu_gd, vv_gd);
}
else
{
noslipbnd << <gridDimTBND, blockDim, 0 >> >(0, 1, bndtopblk_g, botblk_g, zs_g, hh_g, vv_g);
//noslipbndTop << <gridDim, blockDim, 0 >> > ((float)XParam.dx, (float)XParam.ymax, (float)XParam.eps, botblk_g, blockyo_g, zb_g, zs_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
noslipbndTCPU(XParam);
}
}
//else neumann bnd (is already built in the algorithm)
}
void BotFlowBnd(Param XParam)
{
//
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
dim3 gridDimBBND(XParam.botbnd.nblk, 1, 1);
if (XParam.botbnd.on)
{
int SLstepinbnd = 1;
// Do this for all the corners
//Needs limiter in case WLbnd is empty
double difft = XParam.botbnd.data[SLstepinbnd].time - XParam.totaltime;
while (difft < 0.0)
{
SLstepinbnd++;
difft = XParam.botbnd.data[SLstepinbnd].time - XParam.totaltime;
}
if (XParam.GPUDEVICE >= 0)
{
//leftdirichlet(int nx, int ny, int nybnd, float g, float itime, float *zs, float *zb, float *hh, float *uu, float *vv)
double itime = SLstepinbnd - 1.0 + (XParam.totaltime - XParam.botbnd.data[SLstepinbnd - 1].time) / (XParam.botbnd.data[SLstepinbnd].time - XParam.botbnd.data[SLstepinbnd - 1].time);
if (XParam.botbnd.type == 2 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
dirichlet << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.xmax, XParam.yo, XParam.ymax, itime, bndbotblk_g, topblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, vv_gd, uu_gd);
//botdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.botbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xmax, XParam.yo, itime, topblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
}
else if (XParam.botbnd.type == 2)
{
dirichlet << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.xmax, (float)XParam.yo, (float)XParam.ymax, (float)itime, bndbotblk_g, topblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
//botdirichlet << <gridDim, blockDim, 0 >> > ((int)XParam.botbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xmax, (float)XParam.yo, (float)itime, topblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, uu_g, vv_g);
}
else if (XParam.botbnd.type == 3 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1D << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndbotblk_g, topblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, vv_gd, uu_gd);
}
else if (XParam.botbnd.type == 3)
{
ABS1D << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndbotblk_g, topblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
}
if (XParam.botbnd.type == 4 && (XParam.doubleprecision == 1 || XParam.spherical == 1))
{
//leftdirichletD << <gridDim, blockDim, 0 >> > ((int)XParam.leftbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.ymax, itime, rightblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, uu_gd, vv_gd);
ABS1DNEST << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), XParam.g, XParam.dx, XParam.xo, XParam.yo, XParam.xmax, XParam.ymax, itime, bndbotblk_g, topblk_g, blockxo_gd, blockyo_gd, zs_gd, zb_gd, hh_gd, vv_gd, uu_gd);
}
else if (XParam.botbnd.type == 4)
{
ABS1DNEST << <gridDimBBND, blockDim, 0 >> > (0, -1, (int)XParam.botbnd.data[0].wlevs.size(), (float)XParam.g, (float)XParam.dx, (float)XParam.xo, (float)XParam.yo, (float)XParam.xmax, (float)XParam.ymax, (float)itime, bndbotblk_g, topblk_g, blockxo_g, blockyo_g, zs_g, zb_g, hh_g, vv_g, uu_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
std::vector<double> zsbndbot;
for (int n = 0; n < XParam.botbnd.data[SLstepinbnd].wlevs.size(); n++)
{
zsbndbot.push_back(interptime(XParam.botbnd.data[SLstepinbnd].wlevs[n], XParam.botbnd.data[SLstepinbnd - 1].wlevs[n], XParam.botbnd.data[SLstepinbnd].time - XParam.botbnd.data[SLstepinbnd - 1].time, XParam.totaltime - XParam.botbnd.data[SLstepinbnd - 1].time));
}
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
botdirichletCPUD(XParam.nblk, XParam.blksize, XParam.ny, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndbot, blockxo_d, blockyo_d, zs_d, zb_d, hh_d, uu_d, vv_d);
}
else
{
//botdirichletCPU(nx, ny, (float)XParam.g, zsbndbot, zs, zb, hh, uu, vv);
botdirichletCPU(XParam.nblk, XParam.blksize, XParam.ny, XParam.xo, XParam.yo, XParam.g, XParam.dx, zsbndbot, blockxo, blockyo, zs, zb, hh, uu, vv);
}
}
}
if (XParam.botbnd.type == 0)
{
if (XParam.GPUDEVICE >= 0)
{
//
if (XParam.doubleprecision == 1 || XParam.spherical == 1)
{
noslipbnd << <gridDimBBND, blockDim, 0 >> >(0, -1, bndbotblk_g, topblk_g, zs_gd, hh_gd, vv_gd);
//noslipbndBot << <gridDim, blockDim, 0 >> > (XParam.yo, XParam.eps, topblk_g, blockyo_gd, zb_gd, zs_gd, hh_gd, uu_gd, vv_gd);
}
else
{
noslipbnd << <gridDimBBND, blockDim, 0 >> >(0, -1, bndbotblk_g, topblk_g, zs_g, hh_g, vv_g);
//noslipbndBot << <gridDim, blockDim, 0 >> > ((float)XParam.yo, (float)XParam.eps, topblk_g, blockyo_g, zb_g, zs_g, hh_g, uu_g, vv_g);
}
CUDA_CHECK(cudaDeviceSynchronize());
}
else
{
noslipbndBCPU(XParam);
}
}
//else neumann bnd (is already built in the algorithm)
}
double FlowGPU(Param XParam, double nextoutputtime)
{
int nx = XParam.nx;
int ny = XParam.ny;
const int num_streams = 2;
cudaStream_t streams[num_streams];
for (int i = 0; i < num_streams; i++)
{
CUDA_CHECK(cudaStreamCreate(&streams[i]));
}
//dim3 blockDim(16, 16, 1);// The grid has a better ocupancy when the size is a factor of 16 on both x and y
//dim3 gridDim(ceil((nx*1.0f) / blockDim.x), ceil((ny*1.0f) / blockDim.y), 1);
dim3 blockDim(16, 16, 1);
dim3 gridDim(XParam.nblk, 1, 1);
dtmax = (float)(1.0 / epsilon);
//float dtmaxtmp = dtmax;
resetdtmax << <gridDim, blockDim, 0, streams[0] >> > (dtmax_g);
//CUDA_CHECK(cudaDeviceSynchronize());
//update step 1
gradientGPUXYBUQSM << <gridDim, blockDim, 0, streams[0] >> >((float)XParam.theta, (float)XParam.delta, leftblk_g, rightblk_g, topblk_g, botblk_g, hh_g, dhdx_g, dhdy_g);
//CUDA_CHECK(cudaDeviceSynchronize());
gradientGPUXYBUQSM << <gridDim, blockDim, 0, streams[1] >> >((float)XParam.theta, (float)XParam.delta, leftblk_g, rightblk_g, topblk_g, botblk_g, zs_g, dzsdx_g, dzsdy_g);
//CUDA_CHECK(cudaDeviceSynchronize());
gradientGPUXYBUQSM << <gridDim, blockDim, 0, streams[0] >> >((float)XParam.theta, (float)XParam.delta, leftblk_g, rightblk_g, topblk_g, botblk_g, uu_g, dudx_g, dudy_g);
//CUDA_CHECK(cudaDeviceSynchronize());
gradientGPUXYBUQSM << <gridDim, blockDim, 0, streams[1] >> >((float)XParam.theta, (float)XParam.delta, leftblk_g, rightblk_g, topblk_g, botblk_g, vv_g, dvdx_g, dvdy_g);
CUDA_CHECK(cudaDeviceSynchronize());
//CUDA_CHECK(cudaStreamSynchronize(streams[0]));
//normal cartesian case
updateKurgX << <gridDim, blockDim, 0, streams[0] >> > ((float)XParam.delta, (float)XParam.g, (float)XParam.eps, (float)XParam.CFL, leftblk_g, hh_g, zs_g, uu_g, vv_g, dzsdx_g, dhdx_g, dudx_g, dvdx_g, Fhu_g, Fqux_g, Fqvx_g, Su_g, dtmax_g);
//CUDA_CHECK(cudaDeviceSynchronize());
//CUDA_CHECK(cudaStreamSynchronize(streams[1]));
updateKurgY << <gridDim, blockDim, 0, streams[1] >> > ((float)XParam.delta, (float)XParam.g, (float)XParam.eps, (float)XParam.CFL, botblk_g, hh_g, zs_g, uu_g, vv_g, dzsdy_g, dhdy_g, dudy_g, dvdy_g, Fhv_g, Fqvy_g, Fquy_g, Sv_g, dtmax_g);
CUDA_CHECK(cudaDeviceSynchronize());
//GPU Harris reduction #3. 8.3x reduction #0 Note #7 if a lot faster
// This was successfully tested with a range of grid size
//reducemax3 << <gridDimLine, blockDimLine, 64*sizeof(float) >> >(dtmax_g, arrmax_g, nx*ny)
int s = XParam.nblk*XParam.blksize;
int maxThreads = 256;
int threads = (s < maxThreads * 2) ? nextPow2((s + 1) / 2) : maxThreads;
int blocks = (s + (threads * 2 - 1)) / (threads * 2);
int smemSize = (threads <= 32) ? 2 * threads * sizeof(float) : threads * sizeof(float);
dim3 blockDimLine(threads, 1, 1);
dim3 gridDimLine(blocks, 1, 1);
float mindtmaxB;
reducemin3 << <gridDimLine, blockDimLine, smemSize >> > (dtmax_g, arrmax_g, s);
CUDA_CHECK(cudaDeviceSynchronize());
s = gridDimLine.x;
while (s > 1)//cpuFinalThreshold
{
threads = (s < maxThreads * 2) ? nextPow2((s + 1) / 2) : maxThreads;
blocks = (s + (threads * 2 - 1)) / (threads * 2);
smemSize = (threads <= 32) ? 2 * threads * sizeof(float) : threads * sizeof(float);
dim3 blockDimLineS(threads, 1, 1);
dim3 gridDimLineS(blocks, 1, 1);
CUDA_CHECK(cudaMemcpy(dtmax_g, arrmax_g, s * sizeof(float), cudaMemcpyDeviceToDevice));
reducemin3 << <gridDimLineS, blockDimLineS, smemSize >> > (dtmax_g, arrmax_g, s);
CUDA_CHECK(cudaDeviceSynchronize());
s = (s + (threads * 2 - 1)) / (threads * 2);
}
CUDA_CHECK(cudaMemcpy(dummy, arrmax_g, 32 * sizeof(float), cudaMemcpyDeviceToHost));
mindtmaxB = dummy[0];
//32 seem safe here bu I wonder why it is not 1 for the largers arrays...
/*
for (int i = 0; i < 32; i++)
{
mindtmaxB = min(dummy[i], mindtmaxB);
printf("dt=%f\n", dummy[i]);
}