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Wave_gpu.cu
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//////////////////////////////////////////////////////////////////////////////////
//XBeach_GPU //
//Copyright (C) 2013 Bosserelle //
// //
//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. //
// //
//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/>. //
//////////////////////////////////////////////////////////////////////////////////
// includes, system
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "XBeachGPU.h"
using DECNUM = float;
//global variables
DECNUM Trep, Trepold, Trepnew;
DECNUM * St, *Stnew, *Stold;
double * Stfile;
double * eebnd;
double * qbnd;
double * qfile;
double * Tpfile;
int nwbndstep = 0;
//int wavebndtype;
int nstep = 0;
//int breakmod = 1;
DECNUM * hh;//=ones(20,40).*10; //Depth+SL
DECNUM * zb, *qbndold, *qbndnew;
DECNUM * qbndold_g, *qbndnew_g;
DECNUM * umeanbnd_g;
DECNUM * vmeanbnd_g;
DECNUM * umeanbnd;
DECNUM * hh_g, *uu_g, *vv_g, *zs_g, *zb_g, *hhold_g;
DECNUM *uuold_g, *vvold_g, *zsold_g, *qx_g, *qy_g;
DECNUM * ueu_g, *vev_g;
DECNUM * vmageu_g, *vmagev_g;
DECNUM * uu;
DECNUM *vv;
DECNUM *zs;
DECNUM *dummy;
DECNUM *xadvec_g, *yadvec_g, *thetaadvec_g;
DECNUM *hum_g, *hu_g;
DECNUM *hvm_g, *hv_g;
int *wetu_g, *wetv_g;
DECNUM *ududx_g, *vdudy_g;
DECNUM *udvdx_g, *vdvdy_g;
DECNUM *vu_g, *uv_g;
//DECNUM nuh, nuhfac;
DECNUM *nuh_g;
DECNUM * viscu_g, *viscv_g;
DECNUM uumin = 0.0f;
//int nx, ny;
//DECNUM dt, eps;
DECNUM *arrmin, *arrmax;
DECNUM *arrmin_g, *arrmax_g;
//DECNUM dx,grdalpha;
double totaltime;
int nwstp;//nb of hd step between wave step and next step for calculating waves and
DECNUM wdt;// wave model time step
DECNUM wavbndtime;
DECNUM slbndtime;
DECNUM windtime;
int SLstepinbnd, WNDstepinbnd, WAVstepinbnd;
//DECNUM Cd; //Wind drag
DECNUM fp, hm0gew, mainang, rt, scoeff, gam;
int nwavbnd, nwavfile;
DECNUM dtwavbnd;
int roller;
//DECNUM wci;
DECNUM *wci_g;
//DECNUM gammax, hwci, gammaa, n, alpha, beta, t1;
//DECNUM fw, fw2;
DECNUM *fwm_g;//Wave dissipation factor map
DECNUM phi = (1.0f + sqrt(5.0f)) / 2;
DECNUM aphi = 1 / (phi + 1);
DECNUM bphi = phi / (phi + 1);
DECNUM twopi = 8 * atan(1.0f);
DECNUM g = 9.81f;
DECNUM rho = 1025.0f;
DECNUM zo;
//DECNUM cf, cf2;//friction
DECNUM *cfm, *cfm_g; //friction map
//DECNUM lat; //lattitude
//DECNUM fc; //coriolis
int ntheta;
DECNUM thetamin, thetamax;
DECNUM *theta;//=(0:100)*((pi)/100)+t1;see below
DECNUM *theta_g;
DECNUM * cgx, *cgy, *cx, *cy, *ctheta, *cxsth, *sxnth;//
DECNUM * cgx_g, *cgy_g, *cx_g, *cy_g, *ctheta_g, *cxsth_g, *sxnth_g, *eect_g;//
int var2plot = 2;// 1: wave height 2: eta 3: u 4: v
int colorindx;
DECNUM dang;
DECNUM dtheta;
DECNUM * ee;//=zeros(nx+1,ny+1,ntheta);
DECNUM * dd;
DECNUM * wete;
DECNUM * ee_g, *St_g;
DECNUM * tm_g;
DECNUM * rr;//;rr=zeros(nx+1,ny+1,ntheta);
DECNUM * drr;//=zeros(nx+1,ny+1,ntheta);
DECNUM * usd;//=zeros(nx+1,ny+1);
DECNUM * D;//=zeros(nx+1,ny+1);
DECNUM * D_g;
DECNUM * E, *H;
DECNUM * E_g, *H_g;
DECNUM * drr_g, *rr_g;
DECNUM * DR_g, *R_g;
DECNUM * DR, *R;
DECNUM * Sxx_g, *Syy_g, *Sxy_g, *Fx_g, *Fy_g;
DECNUM /** Sxx,* Syy,* Sxy,*/* Fx, *Fy;
DECNUM * thetamean;
DECNUM * thetamean_g;
DECNUM * urms_g;
DECNUM * ust_g;
DECNUM omega;// = 2*pi/Trep;
//DECNUM D50, D90, rhosed;
DECNUM * kturb_g, *rolthick_g, *dzsdt_g;
DECNUM * Ceq_g, *ceqsg_g, *ceqbg_g, *Tsg_g, *facero_g;
DECNUM * C, *Cc_g, *stdep, *stdep_g;
DECNUM * Sus_g, *Svs_g, *Sub_g, *Svb_g;
//DECNUM morfac, por;
DECNUM * ero_g, *depo_g;
DECNUM *dzb, *dzb_g, *ddzb_g;
DECNUM * Sout_g;
int * indSub_g, *indSvb_g;
//DECNUM sus = 1.0f;
//DECNUM bed = 1.0f;
//DECNUM facsk, facas;
DECNUM * zsbnd;
DECNUM rtsl;
DECNUM zsbndnew, zsbndold;
DECNUM windu, windv;
FILE * fwav;
FILE * Tsout;
//FILE * fXq,* fXE;
//char tsoutfile[256];
int iout, jout;
//int imodel; //1: Wave only; 2: Current Only; 3: Wave + current; 4: Wave + current + Sediment transport
int nstepout = 0;//nb of step between outputs. 0= no output
int istepout = 0;//
//double outputtimestep;
double nextoutputtime;
int nstepplot = 0;//nb of step between plots. 0= no plotting
int istepplot = 1;
int displayon = 0;
//double endtime;
//DECNUM wws;
//DECNUM drydzmax;
//DECNUM wetdzmax;
DECNUM maxslpchg;
DECNUM Hplotmax;
DECNUM * sigm, *thet, *costhet, *sinthet;
DECNUM * sigm_g, *thet_g, *costhet_g, *sinthet_g;
DECNUM * ueu, *vev, *urms;
DECNUM * ua_g;
DECNUM *k, *c, *kh, *cg, *sinh2kh;
DECNUM *k_g, *c_g, *kh_g, *cg_g, *sinh2kh_g;
DECNUM * dhdx, *dhdy, *dudx, *dudy, *dvdx, *dvdy;
DECNUM * dhdx_g, *dhdy_g, *dudx_g, *dudy_g, *dvdx_g, *dvdy_g;
DECNUM *dzsdx_g, *dzsdy_g;
DECNUM *zeros;
DECNUM * Hmean_g, *uumean_g, *vvmean_g, *hhmean_g, *zsmean_g, *Cmean_g,*zsmax_g;
DECNUM *dtflow_g;
DECNUM *Hmean, *uumean, *vvmean, *hhmean, *zsmean, *Cmean, *zsmax;
int startflowstep;
//int usesmago;
// Particle stuff
int npart;
//double sedstart; // Warm up time in seconds before starting sediment transport simulation
int wxstep = 1;
//char wavebndfile[256];
//#include "read_input.cpp"
#include "Wave_kernel.cu"
#include "Flow_kernel.cu"
#include "Sediment_kernel.cu"
#include "Wavestep.cu"
template <class T> const T& min(const T& a, const T& b) {
return !(b < a) ? a : b; // or: return !comp(b,a)?a:b; for version (2)
}
/*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);
}
}*/
// Main loop that actually runs the model
void mainloopGPU(XBGPUParam Param, std::vector<SLBnd> slbnd, std::vector<WindBnd> wndbnd, std::vector<Wavebndparam> wavebndparam)
{
double dt = Param.dt;
int nx, ny;
nx = Param.nx;
ny = Param.ny;
//Warning hard wired stuff here
std::vector<Pointout> zsout;
std::vector< std::vector< Pointout > > zsAllout;
Pointout stepread;
FILE * fsSLTS;
if (!Param.TSoutfile.empty())
{
for (int o=0; o < Param.TSoutfile.size(); o++)
{
//Overwrite existing files
fsSLTS = fopen(Param.TSoutfile[o].c_str(), "w");
fclose(fsSLTS);
// Add empty row for each output point
zsAllout.push_back(std::vector<Pointout>());
}
}
//Map a link between the variable s a string and the variable pointer
// This may need to be stored somewhere else??
std::map<std::string, DECNUM *> OutputVarMapCPU;
std::map<std::string, DECNUM *> OutputVarMapGPU;
std::map<std::string, int> OutputVarMaplen;
OutputVarMapCPU["zb"] = zb;
OutputVarMapGPU["zb"] = zb_g;
if (Param.morphology == 1)
{
OutputVarMaplen["zb"] = nx*ny;
}
else
{
OutputVarMaplen["zb"] = 0;
}
OutputVarMapCPU["uu"] = uu;
OutputVarMapGPU["uu"] = uu_g;
OutputVarMaplen["uu"] = nx*ny;
OutputVarMapCPU["vv"] = vv;
OutputVarMapGPU["vv"] = vv_g;
OutputVarMaplen["vv"] = nx*ny;
OutputVarMapCPU["zs"] = zs;
OutputVarMapGPU["zs"] = zs_g;
OutputVarMaplen["zs"] = nx*ny;
OutputVarMapCPU["hh"] = hh;
OutputVarMapGPU["hh"] = hh_g;
OutputVarMaplen["hh"] = nx*ny;
OutputVarMapCPU["H"] = H;
OutputVarMapGPU["H"] = H_g;
OutputVarMaplen["H"] = nx*ny;
OutputVarMapCPU["thetamean"] = thetamean;
OutputVarMapGPU["thetamean"] = thetamean_g;
OutputVarMaplen["thetamean"] = nx*ny;
OutputVarMapCPU["ee"] = ee;
OutputVarMapGPU["ee"] = ee_g;
OutputVarMaplen["ee"] = nx*ny*Param.ntheta;
OutputVarMapCPU["rr"] = rr;
OutputVarMapGPU["rr"] = rr_g;
OutputVarMaplen["rr"] = nx*ny*Param.ntheta;
OutputVarMapCPU["cfm"] = cfm;
OutputVarMapGPU["cfm"] = cfm_g;
OutputVarMaplen["cfm"] = nx*ny;
OutputVarMapCPU["dzb"] = dzb;
OutputVarMapGPU["dzb"] = dzb_g;
OutputVarMaplen["dzb"] = nx*ny;
OutputVarMapCPU["stdep"] = stdep;
OutputVarMapGPU["stdep"] = stdep_g;
OutputVarMaplen["stdep"] = nx*ny;
OutputVarMapCPU["Fx"] = Fx;
OutputVarMapGPU["Fx"] = Fx_g;
OutputVarMaplen["Fx"] = nx*ny;
OutputVarMapCPU["Fy"] = Fy;
OutputVarMapGPU["Fy"] = Fy_g;
OutputVarMaplen["Fy"] = nx*ny;
OutputVarMapCPU["cgx"] = cgx;
OutputVarMapGPU["cgx"] = cgx_g;
OutputVarMaplen["cgx"] = nx*ny*Param.ntheta;
OutputVarMapCPU["cgy"] = cgy;
OutputVarMapGPU["cgy"] = cgy_g;
OutputVarMaplen["cgy"] = nx*ny*Param.ntheta;
OutputVarMapCPU["cx"] = cx;
OutputVarMapGPU["cx"] = cx_g;
OutputVarMaplen["cx"] = nx*ny*Param.ntheta;
OutputVarMapCPU["cy"] = cy;
OutputVarMapGPU["cy"] = cy_g;
OutputVarMaplen["cy"] = nx*ny*Param.ntheta;
OutputVarMapCPU["ctheta"] = ctheta;
OutputVarMapGPU["ctheta"] = ctheta_g;
OutputVarMaplen["ctheta"] = nx*ny*Param.ntheta;
OutputVarMapCPU["D"] = D;
OutputVarMapGPU["D"] = D_g;
OutputVarMaplen["D"] = nx*ny;
OutputVarMapCPU["E"] = E;
OutputVarMapGPU["E"] = E_g;
OutputVarMaplen["E"] = nx*ny;
OutputVarMapCPU["urms"] = urms;
OutputVarMapGPU["urms"] = urms_g;
OutputVarMaplen["urms"] = nx*ny;
OutputVarMapCPU["ueu"] = ueu;
OutputVarMapGPU["ueu"] = ueu_g;
OutputVarMaplen["ueu"] = nx*ny;
OutputVarMapCPU["vev"] = vev;
OutputVarMapGPU["vev"] = vev_g;
OutputVarMaplen["vev"] = nx*ny;
OutputVarMapCPU["hhmean"] = hhmean;
OutputVarMapGPU["hhmean"] = hhmean_g;
OutputVarMaplen["hhmean"] = nx*ny;
OutputVarMapCPU["uumean"] = uumean;
OutputVarMapGPU["uumean"] = uumean_g;
OutputVarMaplen["uumean"] = nx*ny;
OutputVarMapCPU["vvmean"] = vvmean;
OutputVarMapGPU["vvmean"] = vvmean_g;
OutputVarMaplen["vvmean"] = nx*ny;
OutputVarMapCPU["zsmean"] = zsmean;
OutputVarMapGPU["zsmean"] = zsmean_g;
OutputVarMaplen["zsmean"] = nx*ny;
OutputVarMapCPU["zsmax"] = zsmax;
OutputVarMapGPU["zsmax"] = zsmax_g;
OutputVarMaplen["zsmax"] = nx*ny;
OutputVarMapCPU["Hmean"] = Hmean;
OutputVarMapGPU["Hmean"] = Hmean_g;
OutputVarMaplen["Hmean"] = nx*ny;
OutputVarMapCPU["Cmean"] = Cmean;
OutputVarMapGPU["Cmean"] = Cmean_g;
OutputVarMaplen["Cmean"] = nx*ny;
OutputVarMapCPU["sigm"] = sigm;
OutputVarMapGPU["sigm"] = sigm_g;
OutputVarMaplen["sigm"] = nx*ny;
OutputVarMapCPU["k"] = k;
OutputVarMapGPU["k"] = k_g;
OutputVarMaplen["k"] = nx*ny;
OutputVarMapCPU["c"] = c;
OutputVarMapGPU["c"] = c_g;
OutputVarMaplen["c"] = nx*ny;
OutputVarMapCPU["kh"] = kh;
OutputVarMapGPU["kh"] = kh_g;
OutputVarMaplen["kh"] = nx*ny;
OutputVarMapCPU["cg"] = cg;
OutputVarMapGPU["cg"] = cg_g;
OutputVarMaplen["cg"] = nx*ny;
OutputVarMapCPU["sinh2kh"] = sinh2kh;
OutputVarMapGPU["sinh2kh"] = sinh2kh_g;
OutputVarMaplen["sinh2kh"] = nx*ny;
OutputVarMapCPU["dhdx"] = dhdx;
OutputVarMapGPU["dhdx"] = dhdx_g;
OutputVarMaplen["dhdx"] = nx*ny;
OutputVarMapCPU["dhdy"] = dhdy;
OutputVarMapGPU["dhdy"] = dhdy_g;
OutputVarMaplen["dhdy"] = nx*ny;
OutputVarMapCPU["dudx"] = dudx;
OutputVarMapGPU["dudx"] = dudx_g;
OutputVarMaplen["dudx"] = nx*ny;
OutputVarMapCPU["dudy"] = dudy;
OutputVarMapGPU["dudy"] = dudy_g;
OutputVarMaplen["dudy"] = nx*ny;
OutputVarMapCPU["dvdx"] = dvdx;
OutputVarMapGPU["dvdx"] = dvdx_g;
OutputVarMaplen["dvdx"] = nx*ny;
OutputVarMapCPU["dvdy"] = dvdy;
OutputVarMapGPU["dvdy"] = dvdy_g;
OutputVarMaplen["dvdy"] = nx*ny;
OutputVarMapCPU["C"] = C;
OutputVarMapGPU["C"] = Cc_g;
OutputVarMaplen["C"] = nx*ny;
OutputVarMapCPU["R"] = R;
OutputVarMapGPU["R"] = R_g;
OutputVarMaplen["R"] = nx*ny;
OutputVarMapCPU["DR"] = DR;
OutputVarMapGPU["DR"] = DR_g;
OutputVarMaplen["DR"] = nx*ny;
///////////////////////////////////////////////////////
// Warning the variable bellow were never allocted on the CPU
// This could lead to errors if asynchroneous meme copy is to be implemented for output
OutputVarMapCPU["wci"] = dummy;
OutputVarMapGPU["wci"] = wci_g;
OutputVarMaplen["wci"] = nx*ny;
OutputVarMapCPU["vmageu"] = dummy;
OutputVarMapGPU["vmageu"] = vmageu_g;
OutputVarMaplen["vmageu"] = nx*ny;
OutputVarMapCPU["vmagev"] = dummy;
OutputVarMapGPU["vmagev"] = vmagev_g;
OutputVarMaplen["vmagev"] = nx*ny;
OutputVarMapCPU["dzsdx"] = dummy;
OutputVarMapGPU["dzsdx"] = dzsdx_g;
OutputVarMaplen["dzsdx"] = nx*ny;
OutputVarMapCPU["dzsdy"] = dummy;
OutputVarMapGPU["dzsdy"] = dzsdy_g;
OutputVarMaplen["dzsdy"] = nx*ny;
OutputVarMapCPU["dzsdt"] = dummy;
OutputVarMapGPU["dzsdt"] = dzsdt_g;
OutputVarMaplen["dzsdt"] = nx*ny;
OutputVarMapCPU["fwm"] = dummy;
OutputVarMapGPU["fwm"] = fwm_g;
OutputVarMaplen["fwm"] = nx*ny;
OutputVarMapCPU["hu"] = dummy;
OutputVarMapGPU["hu"] = hu_g;
OutputVarMaplen["hu"] = nx*ny;
OutputVarMapCPU["hv"] = dummy;
OutputVarMapGPU["hv"] = hv_g;
OutputVarMaplen["hv"] = nx*ny;
OutputVarMapCPU["hum"] = dummy;
OutputVarMapGPU["hum"] = hum_g;
OutputVarMaplen["hum"] = nx*ny;
OutputVarMapCPU["hvm"] = dummy;
OutputVarMapGPU["hvm"] = hvm_g;
OutputVarMaplen["hvm"] = nx*ny;
OutputVarMapCPU["uv"] = dummy;
OutputVarMapGPU["uv"] = uv_g;
OutputVarMaplen["uv"] = nx*ny;
OutputVarMapCPU["vu"] = dummy;
OutputVarMapGPU["vu"] = vu_g;
OutputVarMaplen["vu"] = nx*ny;
//OutputVarMapCPU["wetu"] = dummy;
//OutputVarMapGPU["wetu"] = wetu_g;
//OutputVarMaplen["wetu"] = nx*ny;
//OutputVarMapCPU["wetv"] = dummy;
//OutputVarMapGPU["wetv"] = wetv_g;
//OutputVarMaplen["wetv"] = nx*ny;
OutputVarMapCPU["ududx"] = dummy;
OutputVarMapGPU["ududx"] = ududx_g;
OutputVarMaplen["ududx"] = nx*ny;
OutputVarMapCPU["vdvdy"] = dummy;
OutputVarMapGPU["vdvdy"] = vdvdy_g;
OutputVarMaplen["vdvdy"] = nx*ny;
OutputVarMapCPU["udvdx"] = dummy;
OutputVarMapGPU["udvdx"] = udvdx_g;
OutputVarMaplen["udvdx"] = nx*ny;
OutputVarMapCPU["vdudy"] = dummy;
OutputVarMapGPU["vdudy"] = ududx_g;
OutputVarMaplen["vdudy"] = nx*ny;
OutputVarMapCPU["ust"] = dummy;
OutputVarMapGPU["ust"] = ust_g;
OutputVarMaplen["ust"] = nx*ny;
OutputVarMapCPU["kturb"] = dummy;
OutputVarMapGPU["kturb"] = kturb_g;
OutputVarMaplen["kturb"] = nx*ny;
OutputVarMapCPU["rolthick"] = dummy;
OutputVarMapGPU["rolthick"] = rolthick_g;
OutputVarMaplen["rolthick"] = nx*ny;
OutputVarMapCPU["ceqsg"] = dummy;
OutputVarMapGPU["ceqsg"] = ceqsg_g;
OutputVarMaplen["ceqsg"] = nx*ny;
//< or <= ? crashes with <= if the boundary limit is == to endtime
while (totaltime < Param.endtime)
{
//std::cout << totaltime << " "<< Param.endtime << std::endl;
dim3 blockDim(16, 16, 1);// This means that the grid has to be 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 blockDimLine(32, 1, 1);
dim3 gridDimLine(ceil((nx*ny*1.0f) / blockDimLine.x), 1, 1);
nstep++;
wdt = dt; // previous timestep
//Calculate timestep
FLOWDT << <gridDim, blockDim, 0 >> >(nx, ny, Param.dx, Param.CFL, dtflow_g, hh_g);
CUDA_CHECK(cudaDeviceSynchronize());
minmaxKernel << <gridDimLine, blockDimLine, 0 >> >(nx*ny, arrmax_g, arrmin_g, dtflow_g);
//CUT_CHECK_ERROR("UpdateZom execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
finalminmaxKernel << <1, blockDimLine, 0 >> >(arrmax_g, arrmin_g);
CUDA_CHECK(cudaDeviceSynchronize());
//CUDA_CHECK(cudaMemcpy(arrmax, arrmax_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
CUDA_CHECK(cudaMemcpy(arrmin, arrmin_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
dt = arrmin[0] * 0.5; // Not sure why this is but it is in the original XBeach!!
// Sanity check here if hh contains a NaN or inf then the model crashed??
if (dt == 0.0 || std::isinf(dt) || std::isnan(dt))
{
printf("Model crashed! Exciting now\n");
write_text_to_log_file("Model crashed!. Exiting.");
exit(1);
}
//printf("swave=%d\n", Param.swave);
if ((Param.swave == 1 ) && totaltime>0.0)
{
double dtwave;
// Make sure the CFL condition for flow do not violate CFL condition for Waves
WAVEDT << <gridDim, blockDim, 0 >> >(nx, ny, Param.ntheta, Param.CFL, Param.dtheta, dtflow_g, ctheta_g);
CUDA_CHECK(cudaDeviceSynchronize());
minmaxKernel << <gridDimLine, blockDimLine, 0 >> >(nx*ny, arrmax_g, arrmin_g, dtflow_g);
//CUT_CHECK_ERROR("UpdateZom execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
finalminmaxKernel << <1, blockDimLine, 0 >> >(arrmax_g, arrmin_g);
CUDA_CHECK(cudaDeviceSynchronize());
//CUDA_CHECK(cudaMemcpy(arrmax, arrmax_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
CUDA_CHECK(cudaMemcpy(arrmin, arrmin_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
dtwave = arrmin[0]*0.5;
dt = min(dt, dtwave);
}
float diffdt = dt - wdt;
// prevent time step to change too quickly (less than 10%)
if (abs(diffdt) / wdt > 0.1)
{
dt = wdt*(1 + (diffdt) / abs(diffdt)*0.1);
}
//dt=0.18;
//dt = wdt;
double nextstop = min(nextoutputtime, Param.endtime);
//need to limit timestep so that it matches the exact output time or endtime
if (ceil((nextstop - totaltime) / dt)> 0.0)
{
dt = (nextstop - totaltime) / ceil((nextstop - totaltime) / dt);
}
//printf("Timestep: %f\n", dt);
Param.dt = dt;
totaltime = totaltime + dt; //total run time acheived until now in s
//std::cout << totaltime << std::endl;
if (Param.swave == 1 )
{
wavebnd(Param, wavebndparam); // Calculate the boundary condition for this step
}
if (Param.flow == 1)
{
flowbnd(Param, slbnd, wndbnd, wavebndparam);// Calculate the flow boundary for this step
}
if (Param.swave == 1 )
{
//printf("Here?");
wavestep(Param); // Calculate the wave action balance for this step
}
if (Param.flow == 1)
{
flowstep(Param);// solve the shallow water and continuity for this step
}
if (Param.sedtrans == 1 && totaltime >= Param.sedstart)
{
//Sediment step
sedimentstep(Param);//solve the sediment dispersion, and morphology
}
//add last value for avg calc
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, Hmean_g, H_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, uumean_g, uu_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, vvmean_g, vv_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, hhmean_g, hh_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, zsmean_g, zs_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
max_var << <gridDim, blockDim, 0 >> >(nx, ny, zsmax_g, zs_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
addavg_var << <gridDim, blockDim, 0 >> >(nx, ny, Cmean_g, Cc_g);
//CUT_CHECK_ERROR("Add avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
//////////////////////////////////////////
//BIG
//WARNING HERE -- NEED TO MAKE ASYNC to hide latency
/////////////////////////////////////////
if (!Param.TSnodesout.empty())
{
CUDA_CHECK(cudaMemcpy(zs, zs_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
CUDA_CHECK(cudaMemcpy(H, H_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
}
//after the transfert
if (!Param.TSnodesout.empty())
{
for (int o=0; o < Param.TSnodesout.size(); o++)
{
stepread.time = totaltime;
stepread.zs = zs[Param.TSnodesout[o].i + Param.TSnodesout[o].j*nx];
stepread.H = H[Param.TSnodesout[o].i + Param.TSnodesout[o].j*nx];
zsAllout[o].push_back(stepread);
}
}
if (nextoutputtime-totaltime <= dt*0.001 && Param.outputtimestep > 0)
{
istepout = istepout + nstepout;
//
nextoutputtime = nextoutputtime + Param.outputtimestep;
//Avg mean variables
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, Hmean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, uumean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, vvmean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, hhmean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, zsmean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
divavg_var << <gridDim, blockDim, 0 >> >(nx, ny, nstep, Cmean_g);
//CUT_CHECK_ERROR("Div avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
//For each requested variables
if (!Param.outvars.empty())
{
writenctimestep(Param, totaltime);
for (int ivar = 0; ivar < Param.outvars.size(); ivar++)
{
if (OutputVarMaplen[Param.outvars[ivar]] > 0)
{
//Should be async
CUDA_CHECK(cudaMemcpy(OutputVarMapCPU[Param.outvars[ivar]], OutputVarMapGPU[Param.outvars[ivar]], OutputVarMaplen[Param.outvars[ivar]] * sizeof(DECNUM), cudaMemcpyDeviceToHost));
//Create definition for each variable and store it
writencvarstep(Param, Param.outvars[ivar], OutputVarMapCPU[Param.outvars[ivar]]);
}
}
}
// Download mean vars
//CUDA_CHECK(cudaMemcpy(Hmean, Hmean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(uumean, uumean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(vvmean, vvmean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(hhmean, hhmean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(zsmean, zsmean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(Cmean, Cmean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(H, H_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(uu, uu_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(vv, vv_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(zs, zs_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(Fx, Fx_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(Fy, Fy_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(thetamean, thetamean_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(D, D_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(urms, urms_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(ueu, ueu_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK(cudaMemcpy(vev, vev_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK( cudaMemcpy(C, ceqsg_g, nx*ny*sizeof(DECNUM ), cudaMemcpyDeviceToHost) );
//CUDA_CHECK(cudaMemcpy(C, hum_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//CUDA_CHECK( cudaMemcpy(C,k_g, nx*ny*sizeof(DECNUM ), cudaMemcpyDeviceToHost) );
//CUDA_CHECK( cudaMemcpy(ctheta,ee_g, nx*ny*Param.ntheta*sizeof(DECNUM ), cudaMemcpyDeviceToHost) );
//CUDA_CHECK(cudaMemcpy(hh, hh_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//if (Param.morphology == 1 )// If moprhology is on
//{
// CUDA_CHECK(cudaMemcpy(zb, zb_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
// CUDA_CHECK(cudaMemcpy(dzb, dzb_g, nx*ny*sizeof(DECNUM), cudaMemcpyDeviceToHost));
//}
//CUDA_CHECK( cudaMemcpy(xxp, xxp_g, npart*sizeof(DECNUM ), cudaMemcpyDeviceToHost) );
//CUDA_CHECK( cudaMemcpy(yyp, yyp_g, npart*sizeof(DECNUM ), cudaMemcpyDeviceToHost) );
printf("Writing output, totaltime:%f s, Mean dt=%f\n", totaltime, Param.outputtimestep/nstep);
write_text_to_log_file("Writing outputs, totaltime: " + std::to_string(totaltime) + ", Mean dt= " + std::to_string(Param.outputtimestep / nstep));
//writestep2nc(tsoutfile, nx, ny,/*npart,*/(float) totaltime, imodel,/*xxp,yyp,*/zb, zs, uu, vv, H, H, thetamean, D, urms, ueu, vev, C, dzb, Fx, Fy, hh, Hmean, uumean, vvmean, hhmean, zsmean, Cmean);
//writestep2nc(Param,(float)totaltime, zb, zs, uu, vv, H, H, thetamean, D, urms, ueu, vev, C, dzb, Fx, Fy, hh, Hmean, uumean, vvmean, hhmean, zsmean, Cmean);
// Write a sigle timeseries in the file
if (!Param.TSoutfile.empty())
{
for (int o=0; o < Param.TSoutfile.size(); o++)
{
//Overwrite existing files
fsSLTS = fopen(Param.TSoutfile[o].c_str(), "a");
for (int n = 0; n < zsAllout[o].size(); n++)
{
fprintf(fsSLTS, "%f\t%.4f\t%.4f\n", zsAllout[o][n].time, zsAllout[o][n].zs, zsAllout[o][n].H);
}
fclose(fsSLTS);
//reset zsout
zsAllout[o].clear();
//zsAllout.push_back(std::vector<SLBnd>());
}
}
//write3dvarnc(nx,ny,Param.ntheta,totaltime,ctheta);
//outfile[],nx,ny,npart,totaltime,xxp,yyp,zs,uu, vv, H,Tp,Dp, D,Urms,ueu,vev)
//fprintf(Tsout,"%f\t%f\t%f\t%f\t%f\t%f\n",totaltime,hh[iout+jout*nx],zs[iout+jout*nx],uu[iout+jout*nx],vv[iout+jout*nx],H[iout+jout*nx]);
//Clear avg vars
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, Hmean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, uumean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, vvmean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, hhmean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, zsmean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, zsmax_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
resetavg_var << <gridDim, blockDim, 0 >> >(nx, ny, Cmean_g);
//CUT_CHECK_ERROR("Reset avg execution failed\n");
CUDA_CHECK(cudaDeviceSynchronize());
nstep = 0;
}
}
}
void mainloopCPU(XBGPUParam Param, std::vector<SLBnd> slbnd, std::vector<WindBnd> wndbnd, std::vector<Wavebndparam> wavebndparam)
{
printf("Computing CPU mode\n");
int nx, ny;
nx = Param.nx;
ny = Param.ny;
while (totaltime <= Param.endtime)
{
nstep++;
wdt = Param.dt; // Sometinmes in stationary wave run one can have a larger wdt (wave time step)
totaltime = totaltime + Param.dt; //total run time acheived until now in s
if (Param.swave == 1 )
{
wavebnd(Param,wavebndparam); // Calculate the boundary condition for this step
}
if (Param.flow == 1)
{
flowbnd(Param, slbnd, wndbnd, wavebndparam);// Calculate the flow boundary for this step
}
if (Param.swave == 1)
{
wavestepCPU(Param); // Calculate the wave action ballance for this step
}
if (Param.flow == 1)
{
//flowstepCPU();// solve the shallow water and continuity for this step
}
if (Param.morphology == 1 && totaltime >= Param.sedstart)
{
//Sediment step
//sedimentstepCPU();//solve the sediment dispersion, and morphology
}
//add last value for avg calc
addavg_varCPU(nx, ny, Hmean_g, H_g);
addavg_varCPU(nx, ny, uumean_g, uu_g);
addavg_varCPU(nx, ny, vvmean_g, vv_g);
addavg_varCPU(nx, ny, hhmean_g, hh_g);
addavg_varCPU(nx, ny, zsmean_g, zs_g);
addavg_varCPU(nx, ny, Cmean_g, Cc_g);
if (nstep == istepout && nstepout > 0)
{
istepout = istepout + nstepout;
//Avg mean variables
divavg_varCPU(nx, ny, nstepout, Hmean_g);
divavg_varCPU(nx, ny, nstepout, uumean_g);
divavg_varCPU(nx, ny, nstepout, vvmean_g);
divavg_varCPU(nx, ny, nstepout, hhmean_g);
divavg_varCPU(nx, ny, nstepout, zsmean_g);
divavg_varCPU(nx, ny, nstepout, Cmean_g);
printf("Writing output, totaltime:%d s\n", totaltime);