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heliosk.cu
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heliosk.cu
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#include "define.h" //must be on top for Windows compilation
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <thrust/sort.h>
#include <thrust/device_ptr.h>
#include "host.h"
#include "ISO.h"
#include "voigt.h"
#include "resample.h"
/*
// runs with biliniar interpolation
// texDescr.filterMode = cudaFilterModeLinear;
__global__ void Voigt_texture_kernel(cudaTextureObject_t K2dtex, float *K_d, int Nx, int Ny, int Nxtex, int Nytex, size_t pitch){
int idx = blockIdx.x * blockDim.x + threadIdx.x;
int idy = blockIdx.y * blockDim.y + threadIdx.y;
if(idx < Nx && idy < Ny){
float x = idx * Nxtex / float(Nx);
float y = idy * Nytex / float(Ny);
//float x = idx / float(Nx);
//float y = idy / float(Ny);
float K = tex2D <float> (K2dtex, x + 0.5f , y + 0.5f);
float *row = (float *)(((char *)K_d)+(idy*pitch));
row[idx] = K;
//if(idy == 0) printf("%d %d %f %f %f\n", idx, idy, x * 10.0f, y * 10.0f, K);
}
}
// runs with manual biliniar interpolation
// texDescr.filterMode = cudaFilterModePoint;
__global__ void Voigt_textureb_kernel(cudaTextureObject_t K2dtex, float *K_d, int Nx, int Ny, int Nxtex, int Nytex, size_t pitch){
int idx = blockIdx.x * blockDim.x + threadIdx.x;
int idy = blockIdx.y * blockDim.y + threadIdx.y;
if(idx < Nx && idy < Ny){
float x = idx * Nxtex / float(Nx);
float y = idy * Nytex / float(Ny);
float K00 = tex2D <float> (K2dtex, x, y);
float K10 = tex2D <float> (K2dtex, x + 1.0f, y);
float K01 = tex2D <float> (K2dtex, x, y + 1.0f);
float K11 = tex2D <float> (K2dtex, x + 1.0f, y + 1.0f);
float xx = (idx % (Nx / Nxtex)) * Nxtex / float(Nx);
float yy = (idy % (Ny / Nytex)) * Nytex / float(Ny);
float K = (1.0f - xx) * ( 1.0f - yy) * K00 + xx * (1.0f - yy) * K10 + (1.0f - xx) * yy * K01 + xx * yy * K11;
float *row = (float *)(((char *)K_d)+(idy*pitch));
row[idx] = K;
//if(idy == 0) printf("%d %d %f %f | %f %f | %f %f %f %f %f\n", idx, idy, x * 10.0f / Nx, y * 10.0f / Ny, xx, yy, K00, K10, K01, K11, K);
}
}
// runs with manual biliniar interpolation
// texDescr.filterMode = cudaFilterModePoint;
__global__ void Voigt_b_kernel(float *K2d_d, float *K_d, int Nx, int Ny, int Nxtex, int Nytex, size_t pitch){
int idx = blockIdx.x * blockDim.x + threadIdx.x;
int idy = blockIdx.y * blockDim.y + threadIdx.y;
if(idx < Nx && idy < Ny){
int x = floor(idx * Nxtex / float(Nx));
int y = floor(idy * Nytex / float(Ny));
float *row1 = (float *)(((char *)K_d)+(y*pitch)) + x;
float K00 = *row1;
float *row2 = (float *)(((char *)K_d)+(y*pitch)) + x + 1;
float K10 = *row2;
float *row3 = (float *)(((char *)K_d)+((y + 1)*pitch)) + x;
float K01 = *row3;
float *row4 = (float *)(((char *)K_d)+((y + 1)*pitch)) + x + 1;
float K11 = *row4;
float xx = (idx % (Nx / Nxtex)) * Nxtex / float(Nx);
float yy = (idy % (Ny / Nytex)) * Nytex / float(Ny);
float K = (1.0f - xx) * ( 1.0f - yy) * K00 + xx * (1.0f - yy) * K10 + (1.0f - xx) * yy * K01 + xx * yy * K11;
float *row = (float *)(((char *)K_d)+(idy*pitch));
row[idx] = K;
//if(idy == 0) printf("%d %d %f %f | %f %f | %f %f %f %f %f\n", idx, idy, x * 10.0f / Nx, y * 10.0f / Ny, xx, yy, K00, K10, K01, K11, K);
}
}
//https://stackoverflow.com/questions/34622717/bicubic-interpolation-in-c
__device__ float cubic_hermite(float A, float B, float C, float D, float t){
float a = -A / 2.0f + (3.0f * B) / 2.0f - (3.0f * C) / 2.0f + D / 2.0f;
float b = A - (5.0f * B) / 2.0f + 2.0f * C - D / 2.0f;
float c = -A / 2.0f + C / 2.0f;
float d = B;
float tt = t * t;
return a * t* tt + b * tt + c * t + d;
}
// runs with manual biliniar interpolation
// texDescr.filterMode = cudaFilterModePoint;
__global__ void Voigt_bicubic_kernel(cudaTextureObject_t K2dtex, float *K_d, int Nx, int Ny, int Nxtex, int Nytex, size_t pitch){
int idx = blockIdx.x * blockDim.x + threadIdx.x;
int idy = blockIdx.y * blockDim.y + threadIdx.y;
if(idx > 0 && idy > 0 && idx < Nx - 1&& idy < Ny - 1){
float x = idx * Nxtex / float(Nx);
float y = idy * Nytex / float(Ny);
float K00 = tex2D <float> (K2dtex, x - 1.0f, y - 1.0f);
float K10 = tex2D <float> (K2dtex, x , y - 1.0f);
float K20 = tex2D <float> (K2dtex, x + 1.0f, y - 1.0f);
float K30 = tex2D <float> (K2dtex, x + 2.0f, y - 1.0f);
float K01 = tex2D <float> (K2dtex, x - 1.0f, y);
float K11 = tex2D <float> (K2dtex, x , y);
float K21 = tex2D <float> (K2dtex, x + 1.0f, y);
float K31 = tex2D <float> (K2dtex, x + 2.0f, y);
float K02 = tex2D <float> (K2dtex, x - 1.0f, y + 1.0f);
float K12 = tex2D <float> (K2dtex, x , y + 1.0f);
float K22 = tex2D <float> (K2dtex, x + 1.0f, y + 1.0f);
float K32 = tex2D <float> (K2dtex, x + 2.0f, y + 1.0f);
float K03 = tex2D <float> (K2dtex, x - 1.0f, y + 2.0f);
float K13 = tex2D <float> (K2dtex, x , y + 2.0f);
float K23 = tex2D <float> (K2dtex, x + 1.0f, y + 2.0f);
float K33 = tex2D <float> (K2dtex, x + 2.0f, y + 2.0f);
float xx = (idx % (Nx / Nxtex)) * Nxtex / float(Nx);
float yy = (idy % (Ny / Nytex)) * Nytex / float(Ny);
float K0 = cubic_hermite(K00, K10, K20, K30, xx);
float K1 = cubic_hermite(K01, K11, K21, K31, xx);
float K2 = cubic_hermite(K02, K12, K22, K32, xx);
float K3 = cubic_hermite(K03, K13, K23, K33, xx);
float K = cubic_hermite(K0, K1, K2, K3, yy);
if(idx == 15 && idy == 15) printf("%d %d %g %g %g %g %g %g %g\n", idx, idy, x, y, K00, K10, K20, K30, K0, K);
float *row = (float *)(((char *)K_d)+(idy*pitch));
row[idx] = K;
//if(idy == 0) printf("%d %d %f %f | %f %f | %f %f %f %f %f\n", idx, idy, x * 10.0f / Nx, y * 10.0f / Ny, xx, yy, K00, K10, K01, K11, K);
}
}
*/
int main(int argc, char*argv[]){
cudaError_t error;
int er;
int devCount = 0;
cudaGetDeviceCount(&devCount);
if(devCount == 0){
printf("Error: No valid cuda device!\n");
return 0;
}
if(devCount == 1) printf("There is %d CUDA Device\n", devCount);
else printf("There are %d CUDA Devices\n", devCount);
/*
{
double xMax = 10.0;
double yMax = 10.0;
int Nx = 1000;
int Ny = 1000;
int Nxtex = Nx + 1;
int Nytex = Ny + 1;
int Nxtexf = Nx / 10 + 1;
int Nytexf = Ny / 10 + 1;
double *K2d_h, *K2d_d;
size_t pitch;
//with pitch, the 2d memory is extendend in one dimension to set memory alignment, pitch is the new Nxtex
K2d_h = (double*)malloc( Nxtex * Nytex * sizeof(double));
cudaMallocPitch((void **) &K2d_d, &pitch, Nxtex * sizeof(double), Nytex);
//printf("%d %d %lu\n", Nxtex, Nytex, pitch);
{
double a = (double)(M_PI * sqrt(-1.0 / log(def_TOLF * 0.5)));
double b = (double)(1.0 / sqrt(M_PI));
double c = (double)(2.0 * a / M_PI);
Voigt_2d_kernel <<< dim3((Nxtex + 31) / 32, (Nytex + 31) / 32), dim3(32, 32, 1) >>> (a, b, c, K2d_d, Nxtex, Nytex, pitch, xMax, xMax);
cudaMemcpy2D(K2d_h, Nxtex * sizeof(double), K2d_d, pitch, Nxtex * sizeof(double), Nytex, cudaMemcpyDeviceToHost);
}
// / *
for(int i = 0; i < Nxtex - 1; ++i){
for(int j = 0; j < Nytex - 1; ++j){
//x and y arrays from 0.1 to 2000
double x = exp(-2.3 + i * xMax / double(Nxtex - 1));
double y = exp(-2.3 + j * yMax / double(Nytex - 1));
//if( x < xMax && y < yMax){
printf("%g %g %.15g\n", x, y, K2d_h[j * Nxtex + i]);
//}
}
}
// * /
return 0;
}
/ *
float *K2df_h, *K2df_d;
size_t pitchf;
//with pitchf, the 2d memory is extendend in one dimension to set memory alignment, pitchf is the new Nxtexf
K2df_h = (float*)malloc( Nxtexf * Nytexf * sizeof(float));
cudaMallocPitch((void **) &K2df_d, &pitchf, Nxtexf * sizeof(float), Nytexf);
//printf("%d %d %lu\n", Nxtexf, Nytexf, pitchf);
{
float a = (float)(M_PI * sqrt(-1.0f / log(def_TOLF * 0.5f)));
float b = (float)(1.0f / sqrt(M_PI));
float c = (float)(2.0f * a / M_PI);
Voigt_2df_kernel <<< dim3((Nxtexf + 31) / 32, (Nytexf + 31) / 32), dim3(32, 32, 1) >>> (a, b, c, K2df_d, Nxtexf, Nytexf, pitchf, xMax, xMax);
cudaMemcpy2D(K2df_h, Nxtexf * sizeof(float), K2df_d, pitchf, Nxtexf * sizeof(float), Nytexf, cudaMemcpyDeviceToHost);
}
/ *
for(int i = 0; i < Nxtexf - 1; ++i){
for(int j = 0; j < Nytexf -1; ++j){
float x = i * xMax / float(Nxtexf - 1);
float y = j * yMax / float(Nytexf - 1);
if( x < xMax && y < yMax){
printf("%g %g %.15g\n", x, y, K2df_h[j * Nxtexf + i]);
}
}
}
return 0;
* /
//https://stackoverflow.com/questions/41749024/edit-cuda-texture-object
cudaTextureObject_t K2dtex;
cudaResourceDesc resDescr;
memset(&resDescr, 0, sizeof(cudaResourceDesc));
resDescr.resType = cudaResourceTypePitch2D;
resDescr.res.pitch2D.desc = cudaCreateChannelDesc<float>();
resDescr.res.pitch2D.devPtr = K2df_d;
resDescr.res.pitch2D.height = Nytexf;
resDescr.res.pitch2D.pitchInBytes = pitchf;
resDescr.res.pitch2D.width = Nxtexf;
cudaTextureDesc texDescr;
memset(&texDescr, 0, sizeof(cudaTextureDesc));
texDescr.normalizedCoords = 0;
//texDescr.filterMode = cudaFilterModeLinear;
texDescr.filterMode = cudaFilterModePoint;
texDescr.addressMode[0] = cudaAddressModeClamp;
texDescr.addressMode[1] = cudaAddressModeClamp;
texDescr.addressMode[2] = cudaAddressModeClamp;
texDescr.readMode = cudaReadModeElementType;
cudaCreateTextureObject(&K2dtex, &resDescr, &texDescr, NULL);
float *K_h, *K_d;
K_h = (float*)malloc( Nx * Ny * sizeof(float));
//with pitch, the 2d memory is extendend in one dimension to set memory alignment, pitch is the new Nx
cudaMallocPitch((void **) &K_d, &pitch, Nx * sizeof(float), Ny);
for(int t = 0; t < 1; ++t){
//Voigt_texture_kernel <<< dim3((Nx + 31) / 32, (Ny + 31) / 32), dim3(32, 32, 1) >>> (K2dtex, K_d, Nx, Ny, Nxtexf - 1, Nytexf - 1, pitch);
//Voigt_textureb_kernel <<< dim3((Nx + 31) / 32, (Ny + 31) / 32), dim3(32, 32, 1) >>> (K2dtex, K_d, Nx, Ny, Nxtexf -1, Nytexf - 1, pitch);
//Voigt_b_kernel <<< dim3((Nx + 31) / 32, (Ny + 31) / 32), dim3(32, 32, 1) >>> (K2d_d, K_d, Nx, Ny, Nxtex - 1, Nytex - 1, pitch);
Voigt_bicubic_kernel <<< dim3((Nx + 31) / 32, (Ny + 31) / 32), dim3(32, 32, 1) >>> (K2dtex, K_d, Nx, Ny, Nxtexf - 1, Nytexf - 1, pitch);
}
cudaMemcpy2D(K_h, Nx * sizeof(float), K_d, pitch, Nx * sizeof(float), Ny, cudaMemcpyDeviceToHost);
cudaDeviceSynchronize();
for(int i = 0; i < Nx; ++i){
for(int j = 0; j < Ny; ++j){
double x = i * xMax / double(Nx);
double y = j * yMax / double(Ny);
if( x < xMax && y < yMax){
double diff = fabs(K2d_h[j * Nxtex + i] - K_h[j * Nx + i]);
if(diff > 5.0e-7){
printf("%g %g %.15g %.15g %.15g\n", x, y, K2d_h[j * Nxtex + i], K_h[j * Nx + i], diff);
}
}
}
}
return 0;
}
*/
char qFilename[15][160]; //for maximal 15 isotopologues
char paramFilename[160];
sprintf(paramFilename, "%s", "param.dat");
//Read prameters
Param param;
sprintf(param.PFilename, "%s", "-");
sprintf(param.SpeciesFilename, "%s", "-");
sprintf(param.edges, "%s", "-");
sprintf(param.bins, "%s", "-");
sprintf(param.ciaSystem, "%s", "-");
sprintf(param.subLorentzianFilename, "%s", "-");
param.dev = 0;
param.useIndividualBins = 0;
param.useOutputEdges = 0;
param.nedges = 0;
param.nP = 1;
param.usePFile = 0;
param.useIndividualX = 0;
param.useCia = 0;
param.path[0] = 0;
param.pathK[0] = 0;
param.nSpecies = 1;
param.useSpeciesFile = 0;
param.useSubLorentzian = 0;
param.T = 0.0;
param.P = 0.0;
param.mParamFilename[0] = 0;
param.dataBase = 0;
param.numin = 0.0;
param.numax = 0.0;
param.dnu = 0.0;
param.Nxb = 0;
param.cutMode = 0;
param.cut = 0.0;
param.doResampling = 0;
param.nC = 0;
param.doTransmission = 0;
param.nTr = 0;
param.dTr = 0.0;
param.doStoreFullK = 0;
param.doStoreK = 0;
param.nbins = 0;
param.kmin = 0.0;
param.qalphaL = def_qALPHA_L;
param.gammaF = def_gammaF;
param.doMean = 0;
param.units = 0;
param.replaceFiles = 0;
param.profile = def_PROFILE;
param.doTuning = def_doTuning;
param.removePlinth = def_removePlinth;
er = read_parameters(param, paramFilename, argc, argv);
if(er == 0){
return 0;
}
if(param.dev >= devCount || param.dev < 0){
printf("Error: Device Number is not allowed\n");
return 0;
}
char filemode[16];
if(param.replaceFiles == 0){
sprintf(filemode, "a");
}
else{
sprintf(filemode, "w");
}
FILE *InfoFile;
char InfoFilename[300];
sprintf(InfoFilename, "Info_%s.dat", param.name);
InfoFile = fopen(InfoFilename, filemode);
int runtimeVersion;
int driverVersion;
cudaRuntimeGetVersion(&runtimeVersion);
cudaDriverGetVersion(&driverVersion);
cudaSetDevice(param.dev);
cudaDeviceProp devProp;
for(int i = 0; i < 2; ++i){
FILE *infofile;
if(i == 0) infofile = InfoFile;
if(i == 1) infofile = stdout;
for(int j = 0; j < devCount; ++j){
cudaGetDeviceProperties(&devProp, j);
fprintf(infofile,"Name:%s, Major:%d, Minor:%d, Max threads per Block:%d, Max x dim:%d\n, #Multiprocessors:%d, Clock Rate:%d, Memory Clock Rate:%d, Global Memory:%lu, Shared memory per block: %lu\n",
devProp.name, devProp.major, devProp.minor, devProp.maxThreadsPerBlock, devProp.maxThreadsDim[0],
devProp.multiProcessorCount, devProp.clockRate, devProp.memoryClockRate, (long unsigned int)(devProp.totalGlobalMem), (long unsigned int)(devProp.sharedMemPerBlock));
}
}
if(param.Nxb != 0){
param.useIndividualX = 1;
}
if(param.removePlinth == 1 && param.profile == 4){
printf("Error, remove plinth is not supported for profile 4\n");
return 0;
}
subLorentzianConstantCopy(param.useSubLorentzian);
//If the bin file is used, store the boundaries of the bins
double *binBoundaries_h, *binBoundaries_d;
binBoundaries_h = (double*)malloc((param.nbins + 1) * sizeof(double));
cudaMalloc((void **) &binBoundaries_d, (param.nbins + 1) * sizeof(double));
if(param.useIndividualBins == 1){
er = readBinFile(param, binBoundaries_h);
if(er == 0) return 0;
param.numin = binBoundaries_h[0];
param.numax = binBoundaries_h[param.nbins];
if(param.doResampling > 0){
printf("Error: The resampling function is not supported for the bin-file option\n");
return 0;
}
if(param.doTransmission > 0){
printf("Error: The transmission function is not supported for the bin-file option\n");
return 0;
}
}
else{
for(int i = 0; i < param.nbins; ++i){
binBoundaries_h[i] = param.numin + i * (param.numax - param.numin) / ((double)(param.nbins));
}
binBoundaries_h[param.nbins] = param.numax;
}
cudaMemcpy(binBoundaries_d, binBoundaries_h, (param.nbins + 1) * sizeof(double), cudaMemcpyHostToDevice);
//for(int i = 0; i < param.nbins + 1; ++i){
// printf("binboundaries %d %g\n", i, binBoundaries_h[i]);
//}
int Nx;
if(param.useIndividualX == 0){
Nx = (int)((param.numax - param.numin) / param.dnu + 0.5); //+ 0.5 to round correctly between double and int
if((param.numax - param.numin) / param.dnu + 0.5 >= 2147483647){
printf("Error: Nx too large, integer overflow. %d %g\n", Nx, (param.numax - param.numin) / param.dnu);
return 0;
}
printf("%g %g %g %g\n", param.numax, param.numin, param.dnu, (param.numax - param.numin) / param.dnu + 0.5);
param.Nxb = Nx / param.nbins;
if(Nx % param.nbins != 0){
printf("Error: range cannot be divided evenly in bins. %d %d %g\n", Nx, param.nbins, Nx / ((double)(param.nbins)));
return 0;
}
}
else{
Nx = param.nbins * param.Nxb;
if(param.nbins * param.Nxb >= 2147483647){
printf("Error: Nx too large, integer overflow. %d %g\n", Nx, (double)(param.nbins) * (double)(param.Nxb));
return 0;
}
if(param.doResampling > 0){
printf("Error: The resampling function is not supported for unequal spacing option\n");
return 0;
}
if(param.doTransmission > 0){
printf("Error: The transmission function is not supported for unequal spacing option\n");
return 0;
}
}
if(param.useSubLorentzian == 1){
subLorentzianB(param.T);
param.useIndividualX = 1;
//this is needed because of the nu/nu0 factor
}
//If the output edges file is used store the edges
double *outputEdges_h;
if(param.useOutputEdges == 1){
outputEdges_h = (double*)malloc((param.nedges + 1) * sizeof(double));
er = readEdgesFile(param, outputEdges_h);
if(er == 0) return 0;
}
else{
outputEdges_h = NULL;
}
//Allocate P array
double *P_h;
P_h = (double*)malloc((param.nP) * sizeof(double));
P_h[0] = param.P;
if(param.usePFile == 1){
er = readPFile(param, P_h);
if(er == 0) return 0;
}
//Allocate Species array
double *SpeciesA_h; //abundance
char **SpeciesN_h;
SpeciesA_h = (double*)malloc(param.nSpecies * sizeof(double));
SpeciesN_h = (char**)malloc(param.nSpecies * sizeof(char*));
for(int i = 0; i < param.nSpecies; ++i){
SpeciesN_h[i] = (char*)malloc(160 * sizeof(char));
}
if(param.useSpeciesFile == 1){
er = readSpeciesFile(param, SpeciesN_h, SpeciesA_h);
if(er == 0) return 0;
}
double time[9];
double timeT[3];
for(int i = 0; i < 9; ++i){
time[i] = 0.0;
}
for(int i = 0; i < 3; ++i){
timeT[i] = 0.0;
}
//Allocate Molecule properties
for(int i = 0; i < 2; ++i){
FILE *infofile;
if(i == 0) infofile = InfoFile;
if(i == 1) infofile = stdout;
fprintf(infofile, "\nVersion: %g\n", VERSION);
fprintf(infofile, "Using device %d\n\n", param.dev);
fprintf(infofile, "Runtime Version %d\n", runtimeVersion);
fprintf(infofile, "Driver Version %d\n", driverVersion);
fprintf(infofile, "GIT Describe: %s\n", GIT_DESCRIBE);
fprintf(infofile, "Build Date: %s\n", BUILD_DATE);
fprintf(infofile, "Build Path: %s\n", BUILD_PATH);
fprintf(infofile, "Build System: %s\n", BUILD_SYSTEM);
fprintf(infofile, "Build Compute Capability: SM=%s\n", BUILD_SM);
fprintf(infofile, "\n");
if(param.Nxb < param.nC && i == 0){
printf("Number of points per bin smaller than the number of Chebyshev coefficients: Changed nC to %d\n", param.Nxb);
fprintf(infofile, "Number of points per bin smaller than the number of Chebyshev coefficients: Changed nC to %d\n", param.Nxb);
param.nC = param.Nxb;
}
fprintf(infofile, "name = %s\n", param.name);
fprintf(infofile, "T = %g\n", param.T);
if(param.usePFile == 0){
fprintf(infofile, "P = %g\n", P_h[0]);
}
else{
fprintf(infofile, "P in file: %s\n", param.PFilename);
fprintf(infofile, "Number of P values: %d\n", param.nP);
}
if(param.useSpeciesFile > 0){
fprintf(infofile, "Species in file: %s\n", param.SpeciesFilename);
fprintf(infofile, "Number of Species: %d\n", param.nSpecies);
}
if(param.useSubLorentzian > 0){
fprintf(infofile, "sub-Lorentzian file: %s\n", param.subLorentzianFilename);
}
fprintf(infofile, "cia System = %s\n", param.ciaSystem);
fprintf(infofile, "pathToData = %s\n", param.path);
fprintf(infofile, "numin = %g\n", param.numin);
fprintf(infofile, "numax = %g\n", param.numax);
fprintf(infofile, "dnu = %g\n", param.dnu);
fprintf(infofile, "Nnu per bin = %d\n", param.Nxb);
fprintf(infofile, "Number of points: %d\n", Nx);
fprintf(infofile, "cutMode = %d\n", param.cutMode);
fprintf(infofile, "cut = %g\n", param.cut);
fprintf(infofile, "doResampling = %d\n", param.doResampling);
fprintf(infofile, "nC = %d\n", param.nC);
fprintf(infofile, "doTransmission = %d\n", param.doTransmission);
fprintf(infofile, "nTr = %d\n", param.nTr);
fprintf(infofile, "dTr = %g\n", param.dTr);
fprintf(infofile, "doStoreFullK = %d\n", param.doStoreFullK);
fprintf(infofile, "pathToK = %s\n", param.pathK);
fprintf(infofile, "dostoreK = %d\n", param.doStoreK);
fprintf(infofile, "nbins = %d\n", param.nbins);
if(param.useIndividualBins == 1){
fprintf(infofile, "use Individual bins: %s\n", param.bins);
}
fprintf(infofile, "kmin = %g\n", param.kmin);
fprintf(infofile, "qalphaL = %g\n", param.qalphaL);
fprintf(infofile, "gammaF = %g\n", param.gammaF);
fprintf(infofile, "doMean = %d\n", param.doMean);
fprintf(infofile, "Units = %d\n", param.units);
fprintf(infofile, "Replace files = %d\n", param.replaceFiles);
fprintf(infofile, "profile = %d\n", param.profile);
fprintf(infofile, "doTuning = %d\n", param.doTuning);
fprintf(infofile, "def_TOL = %g\n", def_TOL);
fprintf(infofile, "def_TOLf = %g\n", def_TOLF);
fprintf(infofile, "def_nthmax = %d\n", def_nthmax);
fprintf(infofile, "def_nlmax = %d\n", def_nlmax);
fprintf(infofile, "def_maxlines = %lld\n", def_maxlines);
fprintf(infofile, "def_maxfiles = %d\n", def_maxfiles);
fprintf(infofile, "def_NmaxSample = %d\n", def_NmaxSample);
if(param.useOutputEdges == 1){
fprintf(infofile, "use output edges: %s\n", param.edges);
}
fprintf(infofile, "\n");
}
fclose(InfoFile);
cudaEvent_t tt1; //start time
cudaEvent_t tt2; //end time
cudaEventCreate(&tt1);
cudaEventCreate(&tt2);
cudaEvent_t ReadStart, ReadStop;
cudaEventCreate(&ReadStart);
cudaEventCreate(&ReadStop);
cudaEvent_t KStart, KStop;
cudaEventCreate(&KStart);
cudaEventCreate(&KStop);
cudaEvent_t LineStart, LineStop;
cudaEventCreate(&LineStart);
cudaEventCreate(&LineStop);
cudaEvent_t TuneStart, TuneStop;
cudaEventCreate(&TuneStart);
cudaEventCreate(&TuneStop);
cudaEvent_t iiLimitsEvent;
cudaEventCreate(&iiLimitsEvent);
cudaEvent_t AEvent;
cudaEventCreate(&AEvent);
cudaEvent_t ALEvent;
cudaEventCreate(&ALEvent);
cudaEvent_t AREvent;
cudaEventCreate(&AREvent);
cudaEvent_t BEvent;
cudaEventCreate(&BEvent);
float milliseconds;
cudaStream_t VStream[def_KSn];
for(int i = 0; i < def_KSn; ++i){
cudaStreamCreate(&VStream[i]);
}
cudaStream_t CStream[def_rBs];
for(int i = 0; i < def_rBs; ++i){
cudaStreamCreate(&CStream[i]);
}
cudaStream_t tuneStream[2];
for(int i = 0; i < 2; ++i){
cudaStreamCreate(&tuneStream[i]);
}
cudaStream_t nuLimitsStream[5];
for(int i = 0; i < 5; ++i){
cudaStreamCreate(&nuLimitsStream[i]);
}
// ************************************************************
//calculate mean mass before starting the opacity calculation
//needed to set kmin
// ************************************************************
double meanMass = 0.0;
for(int iSpecies = 0; iSpecies < param.nSpecies; ++iSpecies){
double Sscale = 1.0;
if(param.nSpecies > 1){
sprintf(param.mParamFilename, "%s", SpeciesN_h[iSpecies]);
Sscale = SpeciesA_h[iSpecies];
}
Molecule m;
if(param.useCia == 0){
int er = Init(m, param, qFilename);
if(er == 0) return 0;
}
//compute the mean mass
for(int i = 0; i < m.nISO; ++i){
//incldue here mixture abundances
meanMass += m.ISO[i].Ab * m.ISO[i].m * Sscale; //mean Molar Mass (g)
}
}
printf("mean mass %g\n", meanMass);
//needed here already to get the cia.mass1. Initialize it again later in the main species loop
ciaSystem cia;
if(param.useCia == 1){
Molecule m;
er = InitCia(m, cia, param);
if(er == 0) return 0;
}
double unitScale = 1.0;
if(param.units == 1){
unitScale = 1.0 / def_NA * meanMass;
if(param.useCia == 1){
unitScale = 1.0 / def_NA * cia.mass1;
}
param.kmin /= unitScale;
printf("kmin %g\n", param.kmin);
}
// ************************************************************
// ****************************************************************************
// Allocate and initialize K and x arrays
// ****************************************************************************
double *K_h, *K_d;
double *KS_d; //used in multiple y blocks
double *x_h, *x_d;
int *binKey_d;
int *binIndex_h, *binIndex_d;
K_h = (double*)malloc(Nx * sizeof(double));
x_h = (double*)malloc(Nx * sizeof(double));
binIndex_h = (int*)malloc((param.nbins + 2) * sizeof(int));
cudaMalloc((void **) &K_d, param.nP * Nx * sizeof(double));
cudaMalloc((void **) &KS_d, def_KSn * Nx * sizeof(double));
cudaMalloc((void **) &x_d, Nx * sizeof(double));
cudaMalloc((void **) &binKey_d, Nx * sizeof(int));
cudaMalloc((void **) &binIndex_d, (param.nbins + 2) * sizeof(int));
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("K alloc error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
for(int k = 0; k < param.nP * Nx; k += def_nthmax){
int Nk = min(def_nthmax, param.nP * Nx - k);
InitialK_kernel <<< (Nk + 511) / 512, 512 >>> (K_d, param.nP * Nx, param.kmin, k);
}
for(int k = 0; k < def_KSn * Nx; k += def_nthmax){
int Nk = min(def_nthmax, def_KSn * Nx - k);
//kmin must be here always zero, because the different streams are added later to K_d
InitialK_kernel <<< (Nk + 511) / 512, 512 >>> (KS_d, def_KSn * Nx, 0.0, k);
}
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("bin1 error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
for(int k = 0; k < Nx; k += def_nthmax){
int Nk = min(def_nthmax, Nx - k);
setX_kernel <<< (Nk + 511) / 512, 512 >>> (x_d, Nx, param.numin, param.dnu, param.Nxb, param.useIndividualX, binBoundaries_d, k);
}
cudaMemcpy(x_h, x_d, Nx * sizeof(double), cudaMemcpyDeviceToHost);
for(int k = 0; k < Nx; k += def_nthmax){
int Nk = min(def_nthmax, Nx - k);
binKey_kernel <<< (Nk + 511) / 512, 512 >>> (binKey_d, Nx, param.Nxb, binBoundaries_d, param.nbins, param.numax, x_d, param.useIndividualX, k);
}
for(int k = 0; k < Nx; k += def_nthmax){
int Nk = min(def_nthmax, Nx - k);
binIndex_kernel <<< (Nk + 511) / 512, 512 >>> (binKey_d, binIndex_d, Nx, param.nbins, k);
}
cudaMemcpy(binIndex_h, binIndex_d, (param.nbins + 2) * sizeof(int), cudaMemcpyDeviceToHost);
/*
int *binKey_h; //only needed to check the key
binKey_h = (int*)malloc(Nx * sizeof(int));
cudaMemcpy(binKey_h, binKey_d, Nx * sizeof(int), cudaMemcpyDeviceToHost);
for(int i = 0; i < Nx; ++i){
int bin = binKey_h[i];
printf("%d %.10g %d %d %d\n", i, x_h[i], bin, binIndex_h[bin], binIndex_h[bin + 1]);
}
*/
// ****************************************************************************
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("K and x alloc error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
//start species loop here
for(int iSpecies = 0; iSpecies < param.nSpecies; ++iSpecies){
double Sscale = 1.0; //Abundance scale for mixtures
if(param.nSpecies > 1){
sprintf(param.mParamFilename, "%s", SpeciesN_h[iSpecies]);
Sscale = SpeciesA_h[iSpecies];
}
Molecule m;
m.id=0;
m.NL[0] = 0;
m.nISO = 0;
m.defaultL = 0.0;
m.defaultn = 0.0;
//Initialize the Isotopologue properties for ISO.h
if(param.useCia == 0){
int er = Init(m, param, qFilename);
if(er == 0) return 0;
}
//print species dependent information
InfoFile = fopen(InfoFilename, "a");
for(int i = 0; i < 2; ++i){
FILE *infofile;
if(i == 0) infofile = InfoFile;
if(i == 1) infofile = stdout;
fprintf(infofile, "Species Name = %s\n", m.mName);
fprintf(infofile, "dataBase = %d\n", param.dataBase);
fprintf(infofile, "Molecule Number = %d\n", m.id);
fprintf(infofile, "default L = %g\n", m.defaultL);
fprintf(infofile, "default n = %g\n", m.defaultn);
fprintf(infofile, "\n");
}
fclose(InfoFile);
//Read partition function
Partition part;
if(param.doStoreFullK >= 0){
er = readPartition(param, qFilename, part, param.T, m);
if(er == 0){
return 0;
}
}
else{
part.Q = NULL;
}
printf("mean mass %g, Sscale %g\n", meanMass, Sscale);
//Set cia System properties
ciaSystem cia;
if(param.useCia == 1){
er = InitCia(m, cia, param);
if(er == 0) return 0;
}
if(param.useCia == 1 && m.id != 0){
printf("Error, not allowed to use a cia system with a molecule\n");
return 0;
}
double *readBuffer_h, *readBuffer_d;
int readBufferSize = 8192;
int readBufferN = 0;
int readBufferCount = 0;
int rbvs = 0;
if(param.dataBase == 2){
//Exomol nu, S, El, A
//Kurucz Molecules
readBufferN = 4;
}
if(param.dataBase == 20){
//Exomol super lines nu, S
readBufferN = 2;
}
if(param.dataBase == 30){
//Kurucz Atoms nu, S, El, A, Gamma_nat
readBufferN = 5;
}
if(param.dataBase == 31){
//NIST Atoms
readBufferN = 5;
}
if(param.dataBase == 32){
//VALD Atoms
readBufferN = 5;
}
cudaHostAlloc((void **) &readBuffer_h, def_rBs * readBufferSize * readBufferN * sizeof(double), cudaHostAllocDefault);
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("Buffer host alloc error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
cudaMalloc((void **) &readBuffer_d, def_maxlines * readBufferN * sizeof(double));
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("Buffer device alloc error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
//printf("Allocate read Buffer %d %d %d %lld | %d %lld\n", def_rBs, readBufferSize, readBufferN, m.NLmax, def_rBs * readBufferSize * readBufferN, m.NLmax * readBufferN);
Line L;
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("Initial error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
//Allocate memory for Line properties
if(param.dataBase < 2 || param.dataBase == 3){
// 0 1 3
Alloc_Line(L, m, param);
}
else{
// 2 20 30 31 32
Alloc2_Line(L, m, param);
}
if(param.useCia == 1){
for(int iP = 0; iP < param.nP; ++iP){
int er = readCiaFile(param, cia, x_h, K_h, Nx, param.T, P_h[iP]);
cudaMemcpy(K_d + iP * Nx, K_h, Nx * sizeof(double), cudaMemcpyHostToDevice);
if(er == 0){
return 0;
}
}
}
cudaDeviceSynchronize();
error = cudaGetLastError();
if(error != 0){
printf("Line alloc error = %d = %s\n",error, cudaGetErrorString(error));
return 0;
}
if(m.id > 0 && param.doStoreFullK >= 0){
// **************************************
// Starting the loop around the datafiles
// **************************************
int fi0 = m.nFiles;
int fi1 = 0;
if(param.cut == 0.0) param.cut = 1.0e30;
if(param.cutMode == 0 && param.cut){
for(int fi = 0; fi < m.nFiles; ++fi){
if(m.fileLimit[fi] - param.cut <= param.numax) fi1 = fi + 1;
else break;
}
for(int fi = m.nFiles - 1; fi >= 0; --fi){
if(m.fileLimit[fi + 1] + param.cut >= param.numin) fi0 = fi;
else break;
}
}
else{
fi0 = 0;
fi1 = m.nFiles;
}
printf("File range %d to %d\n", fi0, fi1 - 1);
int fi;
FILE *dataFile;
char dataFilename[180];
timeT[0] += time[0];
time[0] = 0.0;
//Tuning parameters for Line Kernels
int ntAOld = 0;
int ntA = 0;
int ntALOld = 0;
int ntAL = 0;
int ntAROld = 0;
int ntAR = 0;
int ntBOld = 0;
int ntB = 0;
int ntCOld = 0;
int ntC = 0;
int nkA = 8;
int nkAL = 8;
int nkAR = 8;
int nkB = 4;
int nkC = 2;
double c1 = def_h * def_c / (def_kB * param.T);
double T1 = def_T0 / param.T;
for(fi = fi0; fi < fi1; ++fi){
timeT[1] += time[1];
timeT[2] += time[2];
time[1] = 0.0;
time[2] = 0.0;
int NL;
int NL1;
long long lPart;
// read the first block of files outside the loop
// the remaining reads are called at the end of the loop