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dbie.cu
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// Revised to use the Boole's Rule for Numerical Integration
// -----20 Mar 2014 (S.Yu)
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <stdlib.h>
#include <time.h>
#include<cuda_runtime.h>
#include<cuda_runtime_api.h>
#define N 20
int iter;
int ix,iy,iz;
float dvb0,jo0,ff0,Lf0,Ld0;
float bo0=1.0,alpha;
float bxo[10],byo[10],bzo[10];
float *b3x, *b3y, *b3z;
float zratio=8.0;
float Bratio = 6.04965/zratio/zratio;
// float Bratio2 = Bratio*Bratio/9/zratio;
// float *j3x, *j3y, *j3z;
float bxo_lam0[N],byo_lam0[N],bzo_lam0[N],bxo_spl_y2_0[N],byo_spl_y2_0[N],bzo_spl_y2_0[N];
float lamx[N],lamy[N],lamz[N];
float jo[3];
float ro[3];
float p[3];
float per[3];
int icovg;
int *gival;
float rsize=(600.0);
float *gbxyz;
float *gpux, *gpuy, *gpuptn_lam;
float *resultbxyz;
float *sumxyz;
float dx, dy, dz, dxdy,zo_dxdy;
#define THREAD_NUM 256
#define BLOCK_NUM 64
//#define ndx 192 //-----------For square mesh nd*nd with Rsize the same for x- and y-axis. Otherwise should be Nx*Ny. by YYH 1-Aug 2013-------
//#define ndy 192
//#define ndz 64
//#define datasize_xy 36864 //192x192
#define ndx 600 //-----------For square mesh nd*nd with Rsize the same for x- and y-axis. Otherwise should be Nx*Ny. by YYH 1-Aug 2013-------
#define ndy 600
#define ndz 100
#define datasize_xy 360000 //ndx * ndy
#define pi4 12.566370614359172
#define pi2 6.283185307179586
//--------------perxyz------------------------------------------------------------------------------
__global__ static void kernel2(float *bxyz, float *x, float *y, float *gpuptn_lam, float *resultbxyz, int *gival)
{
__shared__ float shared[3][THREAD_NUM];
const int tid=threadIdx.x;
const int bid=blockIdx.x;
int offset,gival_i;
float xx,yy,zz2,r,rr;
zz2=gpuptn_lam[2];
shared[0][tid]=0;
shared[1][tid]=0;
shared[2][tid]=0;
for(int i=bid*THREAD_NUM+tid;i<datasize_xy;i=i+THREAD_NUM*BLOCK_NUM)
{
gival_i=gival[i];
xx=x[gival_i%ndx]-gpuptn_lam[0];
yy=y[gival_i/ndx]-gpuptn_lam[1];
rr=xx*xx+yy*yy+zz2;
r=sqrtf(rr);
shared[0][tid]=shared[0][tid]+1.0/r*abs(bxyz[gival_i]);
shared[1][tid]=shared[1][tid]+1.0/r*abs(bxyz[gival_i+datasize_xy]);
shared[2][tid]=shared[2][tid]+1.0/r*abs(bxyz[gival_i+2*datasize_xy]);
}
__syncthreads();
offset = THREAD_NUM / 2;
while(offset > 0) {
if(tid < offset)
{
shared[0][tid] += shared[0][tid + offset];
shared[1][tid] += shared[1][tid + offset];
shared[2][tid] += shared[2][tid + offset];
}
offset >>= 1;
__syncthreads();
}
if(tid==0)
{
resultbxyz[bid]=shared[0][0];
resultbxyz[bid+BLOCK_NUM]=shared[1][0];
resultbxyz[bid+2*BLOCK_NUM]=shared[2][0];
}
}
__global__ static void kernel3(float *bxyz, float *x, float *y, float *gpuptn_lam, float *resultbxyz, int *gival)
{
__shared__ float shared[3][THREAD_NUM];
const int tid=threadIdx.x;
const int bid=blockIdx.x;
int offset,gival_i;
shared[0][tid]=0;
shared[1][tid]=0;
shared[2][tid]=0;
for(int i=bid*THREAD_NUM+tid;i<datasize_xy;i=i+THREAD_NUM*BLOCK_NUM)
{
gival_i=gival[i];
shared[0][tid]=shared[0][tid]+abs(bxyz[gival_i]);
shared[1][tid]=shared[1][tid]+abs(bxyz[gival_i+datasize_xy]);
shared[2][tid]=shared[2][tid]+abs(bxyz[gival_i+2*datasize_xy]);
}
__syncthreads();
offset = THREAD_NUM / 2;
while(offset > 0) {
if(tid < offset)
{
shared[0][tid] += shared[0][tid + offset];
shared[1][tid] += shared[1][tid + offset];
shared[2][tid] += shared[2][tid + offset];
}
offset >>= 1;
__syncthreads();
}
if(tid==0)
{
resultbxyz[bid]=shared[0][0];
resultbxyz[bid+BLOCK_NUM]=shared[1][0];
resultbxyz[bid+2*BLOCK_NUM]=shared[2][0];
}
}
void nlffbiept2()
{
float zz;
float perx1,pery1,perz1;
float perx2,pery2,perz2;
zz=ro[2]*ro[2];
float ptn_lamda[3]={ro[0],ro[1],zz};
perx1=0.0;
pery1=0.0;
perz1=0.0;
perx2=0.0;
pery2=0.0;
perz2=0.0;
cudaMemcpy(gpuptn_lam, ptn_lamda, sizeof(float)*3,cudaMemcpyHostToDevice);
kernel2<<<BLOCK_NUM, THREAD_NUM, 3*THREAD_NUM*sizeof(float)>>>(gbxyz, gpux, gpuy, gpuptn_lam, resultbxyz, gival);
cudaMemcpy(sumxyz, resultbxyz, sizeof(float)*BLOCK_NUM*3, cudaMemcpyDeviceToHost);
for(int i=0;i<BLOCK_NUM;i++)
{
perx1+=sumxyz[i]/100.0;
pery1+=sumxyz[i+BLOCK_NUM]/100.0;
perz1+=sumxyz[i+2*BLOCK_NUM]/100.0;
}
kernel3<<<BLOCK_NUM, THREAD_NUM, 3*THREAD_NUM*sizeof(float)>>>(gbxyz, gpux, gpuy, gpuptn_lam, resultbxyz, gival);
cudaMemcpy(sumxyz, resultbxyz, sizeof(float)*BLOCK_NUM*3, cudaMemcpyDeviceToHost);
for(int i=0;i<BLOCK_NUM;i++)
{
perx2+=sumxyz[i]/100.0;
pery2+=sumxyz[i+BLOCK_NUM]/100.0;
perz2+=sumxyz[i+2*BLOCK_NUM]/100.0;
}
per[0] = pi2*perx1/perx2;
per[1] = pi2*pery1/pery2;
per[2] = pi2*perz1/perz2;
}
__global__ static void kernel(float *bxyz, float *x, float *y, float *gpuptn_lam, float *resultbxyz, int *gival)
{
__shared__ float shared[3][THREAD_NUM];
const int tid=threadIdx.x;
const int bid=blockIdx.x;
int offset,gival_i;
float xx,yy,zz2,r,rr,wt_rrr,lrx,lry,lrz;
zz2=gpuptn_lam[2];
shared[0][tid]=0;
shared[1][tid]=0;
shared[2][tid]=0;
for(int i=bid*THREAD_NUM+tid;i<datasize_xy;i=i+THREAD_NUM*BLOCK_NUM)
{ gival_i=gival[i];
xx=x[gival_i%ndx]-gpuptn_lam[0];
yy=y[gival_i/ndx]-gpuptn_lam[1];
rr=xx*xx+yy*yy+zz2;
r=sqrtf(rr);
lrx=gpuptn_lam[3]*r;
lry=gpuptn_lam[3+1]*r;
lrz=gpuptn_lam[3+2]*r;
wt_rrr=1.0/r/rr;
shared[0][tid]=shared[0][tid]+(lrx*__sinf(lrx)+__cosf(lrx))*wt_rrr*bxyz[gival_i];
shared[1][tid]=shared[1][tid]+(lry*__sinf(lry)+__cosf(lry))*wt_rrr*bxyz[gival_i+datasize_xy];
shared[2][tid]=shared[2][tid]+(lrz*__sinf(lrz)+__cosf(lrz))*wt_rrr*bxyz[gival_i+2*datasize_xy];
// shared[0][tid]=shared[0][tid]+(lrx*__sinf(lrx)+__cosf(lrx))*wt_rrr;
// shared[1][tid]=shared[1][tid]+(lry*__sinf(lry)+__cosf(lry))*wt_rrr;
// shared[2][tid]=shared[2][tid]+(lrz*__sinf(lrz)+__cosf(lrz))*wt_rrr;
}
__syncthreads();
offset = THREAD_NUM / 2;
while(offset > 0) {
if(tid < offset)
{
shared[0][tid] += shared[0][tid + offset];
shared[1][tid] += shared[1][tid + offset];
shared[2][tid] += shared[2][tid + offset];
}
offset >>= 1;
__syncthreads();
}
if(tid==0)
{
resultbxyz[bid]=shared[0][0];
resultbxyz[bid+BLOCK_NUM]=shared[1][0];
resultbxyz[bid+2*BLOCK_NUM]=shared[2][0];
}
}
void nlffbiept(float lamx0,float lamy0,float lamz0)
{
float zz;
float bx0,by0,bz0;
zz=ro[2]*ro[2];
float ptn_lamda[6]={ro[0],ro[1],zz,lamx0,lamy0,lamz0};
cudaMemcpy(gpuptn_lam, ptn_lamda, sizeof(float)*(6),cudaMemcpyHostToDevice);
kernel<<<BLOCK_NUM, THREAD_NUM, 3*THREAD_NUM*sizeof(float)>>>(gbxyz, gpux, gpuy, gpuptn_lam, resultbxyz, gival);
cudaMemcpy(sumxyz, resultbxyz, sizeof(float)*BLOCK_NUM*3, cudaMemcpyDeviceToHost);
bx0=0.0;
by0=0.0;
bz0=0.0;
for(int i=0;i<BLOCK_NUM;i++)
{
bx0+=sumxyz[i];
by0+=sumxyz[i+BLOCK_NUM];
bz0+=sumxyz[i+2*BLOCK_NUM];
}
// zo_dxdy = ro[2]*dxdy/pi2;
zo_dxdy = ro[2]*dxdy/pi2*Bratio;
// printf("zo_dxdy:%f -- B:%f,%f,%f\n",zo_dxdy,bx0,by0,bz0);
bxo[0]=bx0*zo_dxdy;
byo[0]=by0*zo_dxdy;
bzo[0]=bz0*zo_dxdy;
}
/*
This code is based on the cubic spline interpolation code presented in:
Numerical Recipes in C: The Art of Scientific Computing
by
William H. Press,
Brian P. Flannery,
Saul A. Teukolsky, and
William T. Vetterling .
Copyright 1988 (and 1992 for the 2nd edition)
I am assuming zero-offset arrays instead of the unit-offset arrays
suggested by the authors. You may style me rebel or conformist
depending on your point of view.
Norman Kuring 31-Mar-1999
*/
#define MALLOC(ptr,typ,num) { \
(ptr) = (typ *)malloc((num) * sizeof(typ)); \
if((ptr) == NULL){ \
fprintf(stderr,"-E- %s line %d: Memory allocation failure.\n", \
__FILE__,__LINE__); \
exit(EXIT_FAILURE); \
} \
}
void
spline(
float x[],
float y[],
int n,
float yp1,
float ypn,
float y2[]
){
int i,k;
float p,qn,sig,un,*u;
MALLOC(u,float,n-1);
if(yp1 > 0.99e30)
y2[0] = u[0] = 0.0;
else{
y2[0] = -0.5;
u[0] = (3.0/(x[1]-x[0]))*((y[1]-y[0])/(x[1]-x[0])-yp1);
}
for(i = 1; i < n-1; i++){
sig = (x[i] - x[i-1])/(x[i+1] - x[i-1]);
p = sig*y2[i-1] + 2.0;
y2[i] = (sig - 1.0)/p;
u[i] = (y[i+1] - y[i])/(x[i+1] - x[i]) - (y[i] - y[i-1])/(x[i] - x[i-1]);
u[i] = (6.0*u[i]/(x[i+1] - x[i-1]) - sig*u[i-1])/p;
}
if(ypn > 0.99e30)
qn = un = 0.0;
else{
qn = 0.5;
un = (3.0/(x[n-1] - x[n-2]))*(ypn - (y[n-1] - y[n-2])/(x[n-1] - x[n-2]));
}
y2[n-1] = (un - qn*u[n-2])/(qn*y2[n-2] + 1.0);
for(k = n-2; k >= 0; k--){
y2[k] = y2[k]*y2[k+1] + u[k];
}
free(u);
}
void
splint(
float xa[],
float ya[],
float y2a[],
int n,
float x,
float *y
){
int klo,khi,k;
float h,b,a;
static int pklo=0,pkhi=1;
/*
Based on the assumption that sequential calls to this function are made
with closely-spaced, steadily-increasing values of x, I first try using
the same values of klo and khi as were used in the previous invocation.
If that interval is no longer correct, I do a binary search for the
correct interval.
*/
if(xa[pklo] <= x && xa[pkhi] > x){
klo = pklo;
khi = pkhi;
}
else{
klo = 0;
khi = n - 1;
while(khi - klo > 1){
k = (khi + klo) >> 1;
if(xa[k] > x) khi = k;
else klo = k;
}
}
h = xa[khi] - xa[klo];
if(h == 0){
fprintf(stderr,"-E- %s line %d: Bad xa input to function splint()\n",
__FILE__,__LINE__);
exit(EXIT_FAILURE);
}
a = (xa[khi] - x)/h;
b = (x - xa[klo])/h;
*y = a*ya[klo] + b*ya[khi] +
((a*a*a - a)*y2a[klo] + (b*b*b - b)*y2a[khi])*(h*h)/6.0;
}
float min(const float *arr, size_t length) {
// returns the minimum value of array
size_t i;
float minimum = arr[0];
for (i = 1; i < length; ++i) {
if (minimum > arr[i]) {
minimum = arr[i];
}
}
return minimum;
}
float max(const float *arr, size_t length) {
// returns the minimum value of array
size_t i;
float maximum = arr[0];
for (i = 1; i < length; ++i) {
if (maximum < arr[i]) {
maximum = arr[i];
}
}
return maximum;
}
//-----------objf-----------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------
int Bsuffix_x()
{
return ( (ix>0 && ix<ndx-1) ? ( ix ) : ((ix==0) ? (ix+1) :((ix==ndx-1) ? (ix-1) :(0))) );
}
int Bsuffix_y()
{
return ( (iy>0 && iy<ndy-1) ? ( iy ) : ((iy==0) ? (iy+1) :((iy==ndy-1) ? (iy-1) :(0))) );
}
float objf(float p[])
{
float z;
int i;
float btx,bty,btz;
float bb0x,bb1x,bb2x,bb3x,bb4x;//,bb5x;
float bb0y,bb1y,bb2y,bb3y,bb4y;//,bb5y;
float bb0z,bb1z,bb2z,bb3z,bb4z;//,bb5z;
float bm0x, bm0y, bm0z;
float bm1x, bm1y, bm1z;
float bm2x, bm2y, bm2z;
float bm3x, bm3y, bm3z;
float bm4x, bm4y, bm4z;
float dSx, dSy, dSz;
float rotx, roty, rotz;
float rotm, cpx, cpy, cpz;
float bo0;
float ff0;
if (p[0]>=0.0 && p[0]<=per[0] &&
p[1]>=0.0 && p[1]<=per[1] &&
p[2]>=0.0 && p[2]<=per[2])
{
splint(lamx, bxo_lam0, bxo_spl_y2_0, N, p[0], &z); bxo[0] = z;
splint(lamy, byo_lam0, byo_spl_y2_0, N, p[1], &z); byo[0] = z;
splint(lamz, bzo_lam0, bzo_spl_y2_0, N, p[2], &z); bzo[0] = z;
i=Bsuffix_x()+ndx*Bsuffix_y()+datasize_xy*(iz-1);
// if(iz==1){
btx=bxo[0];
bty=byo[0];
btz=bzo[0];
bb0x=b3x[i];
bb0y=b3y[i];
bb0z=b3z[i];
bb1x=b3x[i-ndx];
bb1y=b3y[i-ndx];
bb1z=b3z[i-ndx];
bb2x=b3x[i+ndx];
bb2y=b3y[i+ndx];
bb2z=b3z[i+ndx];
bb3x=b3x[i-1];
bb3y=b3y[i-1];
bb3z=b3z[i-1];
bb4x=b3x[i+1];
bb4y=b3y[i+1];
bb4z=b3z[i+1];
bm1x=(btx+bb1x)/2.0;
bm1y=(bty+bb1y)/2.0;
bm1z=(btz+bb1z)/2.0;
bm2x=(btx+bb2x)/2.0;
bm2y=(bty+bb2y)/2.0;
bm2z=(btz+bb2z)/2.0;
bm3x=(btx+bb3x)/2.0;
bm3y=(bty+bb3y)/2.0;
bm3z=(btz+bb3z)/2.0;
bm4x=(btx+bb4x)/2.0;
bm4y=(bty+bb4y)/2.0;
bm4z=(btz+bb4z)/2.0;
// bm0x=(bb0x+btx+bm1x+bm2x+bm3x+bm4x)/6.0;
// bm0y=(bb0y+bty+bm1y+bm2y+bm3y+bm4y)/6.0;
// bm0z=(bb0z+btz+bm1z+bm2z+bm3z+bm4z)/6.0;
bm0x=(bb0x+btx)/2.0;
bm0y=(bb0y+bty)/2.0;
bm0z=(bb0z+btz)/2.0;
dSx = dx*dz;
rotx = ((-bm1y)*dx-(bm1z)*dz + bb0y*2*dx + (-bm2y)*dx+(bm2z)*dz)/dSx;
// rotx = (bm2z-bm1z-bty+bb0y)/dx;
dSy = dx*dz;
roty = ((bm4x)*dx-(bm4z)*dz + (-bb0x)*2*dx + (bm3x)*dx+(bm3z)*dz)/dSy;
// roty = (btx-bb0x-bm4z+bm3z)/dx;
dSz = dx*dx;
// rotz = (bm4y-bm3y-bm2x+bm1x)/dx;
rotz= (bm1x+bm4y-bm2x-bm3y)*dx/dSz;
dvb0 = fabs(((bm4x-bm3x) + (bm2y-bm1y))/dx + (btz-bb0z)/dz);
// printf("delta:%f,%f,%f -- B:%f,%f,%f\n",dx,dy,dz,bxo[0],byo[0],bzo[0]);
// }
// else
// {
// btx=bxo[0];
// bty=byo[0];
// btz=bzo[0];
// bb0x=b3x[i];
// bb0y=b3y[i];
// bb0z=b3z[i];
// bb1x=b3x[i-ndx];
// bb1y=b3y[i-ndx];
// bb1z=b3z[i-ndx];
// bb2x=b3x[i+ndx];
// bb2y=b3y[i+ndx];
// bb2z=b3z[i+ndx];
// bb3x=b3x[i-1];
// bb3y=b3y[i-1];
// bb3z=b3z[i-1];
// bb4x=b3x[i+1];
// bb4y=b3y[i+1];
// bb4z=b3z[i+1];
// bb5x=b3x[i-datasize_xy];
// bb5y=b3y[i-datasize_xy];
// bb5z=b3z[i-datasize_xy];
// bm0x=bb0x;
// bm0y=bb0y;
// bm0z=bb0z;
// rotx = (bb2z-bb1z-bty+bb5y)/2.0/dx;
// roty = (btx-bb5x-bb4z+bb3z)/2.0/dx;
// rotz = (bb4y-bb3y-bb2x+bb1x)/2.0/dx;
// dvb0 = fabs(((bb4x-bb3x) + (bb2y-bb1y) + (btz-bb5z))/2.0/dx);
// }
jo[0] = rotx;
jo[1] = roty;
jo[2] = rotz;
bo0=sqrtf(bm0x*bm0x+bm0y*bm0y+bm0z*bm0z);
rotm=sqrtf(rotx*rotx+roty*roty+rotz*rotz);
cpx=roty*bm0z-rotz*bm0y;
cpy=rotz*bm0x-rotx*bm0z;
cpz=rotx*bm0y-roty*bm0x;
Lf0 = sqrtf(cpx*cpx+cpy*cpy+cpz*cpz)/(bo0*rotm);
Ld0 = dvb0*dx/bo0;
ff0 = Lf0 + Ld0;
// printf("lam:%f,%f,%f -- B:%f,%f,%f\n",p[0],p[1],p[2],bxo[0],byo[0],bzo[0]);
}
else
{
ff0=10.0;
}
return(ff0);
}
//-----------------flesim------------------------------------------------------------------
float flesim(float p[],float fx,float ft0,float step,int it,int imos)
{
int n,i,j;
float a[7][7]={{0}};
float ff[7]={0.0};
float ft=0.0000001,temp;
float alpha,beta,gama;
int k1,k2,k3,k4,dead=0;
float difer;
float d1,d2,s;
float ffk2,ffk3,ffk4,ffi;
float fl,fh,fs;
int ih,il,l;
float fx1,p0[3]={0.0};
n=3;//the dimension of x
if(it==1) ft=ft0;
iter=0;
alpha=1.0;
beta=0.2;
gama=2.5;
k1=n+1;
k2=n+2;
k3=n+3;
k4=n+4;
//-----------Form initial simplex-------------
d1=step/(n*sqrt(2.0))*(sqrt((float)n+1)+n-1.0);
d2=step/(n*sqrt(2.0))*(sqrt((float)n+1)-1.0);
for(j=0;j<=n-1;j++)
{
a[0][j]=p[j];
}
for(i=1;i<=k1-1;i++)
{
for(j=0;j<=n-1;j++)
{
a[i][j]=d2+p[j];
}
l=i-1;
a[i][l]=d1-d2+p[l]; // revised by sijie 2015-01-14
}
for(i=0;i<=k1-1;i++)
{
for(j=0;j<=n-1;j++)
{
p[j]=((a[i][j] < per[j]) ? a[i][j]:per[j]);
// p[j]=a[i][j];
}
ffi=objf(p);
ff[i]=ffi;
// printf("simplex vertex is ,v=%d,:f(x)=%f,x=%f,%f,%f\n",i,ff[i],p[0],p[1],p[2]);
}
iteration:
if(iter<imos)
{
iter=iter+1;
fh=ff[0];
ih=0;
fl=ff[0];
il=0;
for(i=1;i<=k1-1;i++)
{
//-------------determine max point on simplex's vertices-------------
if(ff[i]>=fh)
{
fh=ff[i];
ih=i;
}
//-------------determine min point on simplex's vertices-------------
if(ff[i]<=fl)
{
fl=ff[i];
il=i;
}
}
//------------------calculate simplex's center excluding max point---------
for(j=0;j<=n-1;j++)
{
s=0.0;
for(i=0;i<=k1-1;i++)
{
s=s+a[i][j];
}
a[k2-1][j]=1./n*(s-a[ih][j]);
//----------------mapping of max-point through center----------------
a[k3-1][j]=(1.+alpha)*a[k2-1][j]-alpha*a[ih][j];
p[j]=((a[k3-1][j] < per[j]) ? a[k3-1][j]:per[j]);
// p[j]=a[k3-1][j];
}
ffk3=objf(p);
ff[k3-1]=ffk3;
if(ff[k3-1]<fl)
{
goto Expansion;
}
//---------------------determine 2nd ,max point on simplex's vertices-------
if(ih==0)
{
fs=ff[1];
}
else
{
fs=ff[0];
}
for(i=0;i<=k1-1;i++)
{
if(i!=ih)
{
if(ff[i]>=fs)
{
fs=ff[i];
}
}
}
if(ff[k3-1]>fs)
{
goto loop54;
}
goto Replace_Xr;
Expansion://-----------If mapping has new min, then expanding simplex---------
for(j=0;j<=n-1;j++)
{
a[k4-1][j]=(1.-gama)*a[k2-1][j]+gama*a[k3-1][j];
p[j]=((a[k4-1][j] < per[j]) ? a[k4-1][j]:per[j]);
// p[j]=a[k4-1][j];
}
ffk4=objf(p);
ff[k4-1]=ffk4;
if(ff[k4-1]<fl)
{
goto Replace_Xnew;
}
goto Replace_Xr;
loop54:
if(ff[k3-1]<=fh)
{
for(j=0;j<=n-1;j++)
{
a[ih][j]=a[k3-1][j];
}
}
for(j=0;j<=n-1;j++)
{
a[k4-1][j]=beta*a[ih][j]+(1-beta)*a[k2-1][j];
p[j]=((a[k4-1][j] < per[j]) ? a[k4-1][j]:per[j]);
// p[j]=a[k4-1][j];
}
ffk4=objf(p);
ff[k4-1]=ffk4;
if(fh>ff[k4-1])
{
goto Replace_Xnew;
}
//---------------if mapping point larger than max, then contracting simplex----
for(j=0;j<=n-1;j++)
{
for(i=0;i<=k1-1;i++)
{
a[i][j]=0.5*(a[i][j]+a[il][j]);
}
}
for(i=0;i<=k1;i++)
{
for(j=0;j<=n-1;j++)
{
p[j]=((a[i][j] < per[j]) ? a[i][j]:per[j]);
// p[j]=a[i][j];
}
ffi=objf(p);
ff[i]=ffi;
}
goto iteration;
Replace_Xnew:
for(j=0;j<=n-1;j++)
{
a[ih][j]=a[k4-1][j];
}
ff[ih]=ff[k4-1];
goto Criteria;
Replace_Xr:
for(j=0;j<=n-1;j++)
{
a[ih][j]=a[k3-1][j];
}
ff[ih]=ff[k3-1];
Criteria:
for(j=0;j<=n-1;j++)
{
p[j]=((a[k2-1][j] < per[j]) ? a[k2-1][j]:per[j]);
// p[j]=a[k2-1][j];
}
ffk2=objf(p);
ff[k2-1]=ffk2;
difer=0.0;
for(i=0;i<=k1-1;i++) //obtain the sum of the square of ff[i]-ffk2
{
temp=ff[i]-ffk2;
difer+=temp*temp;
}
difer=1./n*sqrt(difer);
printf("difer=%f, Lf=%f, Ld = %f, fx=%f, lam=%f,%f,%f, bxyz=%f,%f,%f\n",difer,Lf0,Ld0,ffk2 ,p[0],p[1],p[2],bxo[0],byo[0],bzo[0]);
// printf("ff = %f,%f,%f,%f,%f,%f,%f\n",ff[0],ff[1],ff[2],ff[3],ff[4],ff[5],ff[6]);
icovg=-1;
fx=ffk2;
if((abs(p0[0]-p[0])<0.0000001) && abs(p0[1]-p[1])<0.0000001 && abs(p0[2]-p[2])<0.0000001)
{
dead++;
// printf("dead:%d\n",dead);
}
p0[0] = p[0];
p0[1] = p[1];
p0[2] = p[2];
if(dead > 5)
{
goto loop88;
}
if(difer>ft)
{
goto iteration; //modified with "fx<ft" instead of "difer<ft" on 19 Mar 2014
}
icovg=1;
if(fabs(Lf0)>0.5)
{
icovg=2;
}
if(fabs(Ld0)>0.2)
{
icovg=3;
}
goto loop88;
//----------------------------end iteration--------------------------
}
loop88:
// printf("ix,iy,iz=%d,%d,%d, iter=%d, icovg=%d, difer=%f, fx=%f,Lf0=%f,Ld0=%f, lam=%f,%f,%f, bxyz=%f,%f,%f\n",ix,iy,iz,iter,icovg,difer,ffk2,Lf0,Ld0,p[0],p[1],p[2],bxo[0],byo[0],bzo[0]);
fx1=fx;
return fx1;
}
//---------------------------------------------//
//-----------differential-----------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------
//Calculate dr/dl at ro by DBIE
// Input:
//---------------------------------------
// ro : array of 4:=> R[4]=[xo,yo,zo,alphai]
//---------------------------------------
// Output:
//---------------------------------------
// differentials [dx/dl,dy/dl,dz/dl] at ro
//---------------------------------------
// Revised to force alpha equal to alpha in the boundary
// 25 Mar 2014 (S.Yu)
// Revised to force magnetic field line turning smoothly
// 25 Mar 2014 (S.Yu)
//----------------------------------------------------------
void differential(float ro[])
{
int loop,i;
int imos=200, iter=1,lpmax=3;
float fx=0.0;
float ft0=0.000001;
float step;
float yp1,ypn;
loop=0,icovg=0;
nlffbiept2();
for(i=0;i<N;i++)
{
p[0] = per[0]*i/(N-1);
p[1] = per[1]*i/(N-1);
p[2] = per[2]*i/(N-1);
lamx[i] = p[0];
lamy[i] = p[1];
lamz[i] = p[2];
nlffbiept(p[0],p[1],p[2]);
bxo_lam0[i] = bxo[0];
byo_lam0[i] = byo[0];
bzo_lam0[i] = bzo[0];
// printf("lam=%f,%f,%f, bxyz=%f,%f,%f\n",p[0],p[1],p[2],bxo[0],byo[0],bzo[0]);
}
yp1 = 1.0e30;
ypn = 1.0e30;
spline(lamx, bxo_lam0, N, yp1, ypn, bxo_spl_y2_0);
spline(lamy, byo_lam0, N, yp1, ypn, byo_spl_y2_0);
spline(lamz, bzo_lam0, N, yp1, ypn, bzo_spl_y2_0);
while(icovg!=1&&loop<lpmax)
{
if(icovg==0)
{
p[0] = per[0]/2.0;
p[1] = per[1]/2.0;
p[2] = per[2]/2.0;
step = max(p,3);
// printf("step, perx, pery, perz: %f, %f, %f, %f\n",step,per[0],per[1],per[2]);
}
flesim(p,fx,ft0,step,iter,imos);
// printf("bx=%f,by=%f,bz=%f,jx=%f,jy=%f,jz=%f\n",bxo[0],byo[0],bzo[0],jo[0],jo[1],jo[2]);
loop++;
}
}
//---------------------------------------------//
/****************************************************/
/******* MAIN PROGRAM *****************************/
/****************************************************/
int main(int argc,char *argv[])
{
float space;
FILE *fp1;
float *x,*y;
int i;
int height_start, height_end;
int x_start,x_end,y_start,y_end;
char hh[10],mm[10],date[10];
int i1,i2,i3,i4,i5,i6,i7,i8;
int ix1,ix2,iy1,iy2;
//printf("The value of argc is %d\n\n", argc);
//设置main的输入参数，分别为x_start,x_end,y_start,y_end,height_start,height_end;
if(argc==10){
//如果argc的值是1，说明程序名后面没有命令行参数
//argv[0]的值是启动该程序的程序名
//argv[1] 为在DOS命令行中执行程序名后的第一个字符串;
//argv[2] 为执行程序名后的第二个字符串;
//...
//设置从第几个文件开始计算，算多少个文件。
strcpy(date, argv[1]);
strcpy(hh, argv[2]);
strcpy(mm, argv[3]);
x_start = atoi(argv[4]);
x_end = atoi(argv[5]);
y_start = atoi(argv[6]);
y_end = atoi(argv[7]);
height_start = atoi(argv[8]);
height_end = atoi(argv[9]);
}
else{
strcpy(date, "20110215");
strcpy(hh, "00");
strcpy(mm, "00");
x_start=50;
y_start=50;
x_end=50;
y_end=50;
height_start=1;
height_end=1;
}
printf("This calculation is start from layer %d to layer %d.\n", height_start, height_end);
printf("x_start = %d,x_end = %d.\n", x_start,x_end);
printf("y_start = %d,y_end = %d.\n\n", y_start,y_end);
int onx,ony,onxny,oi;
onx = x_end-x_start+1;
ony = y_end-y_start+1;
onxny = onx*ony;
int nxnynz = ndx*ndy*ndz;
//------------------------//
int *ival;
cudaMalloc((void**) &gival, sizeof(int)*datasize_xy);
ival=(int*) malloc(sizeof(int)*datasize_xy);
for(int i=0;i<datasize_xy-1;i++)
{
ival[i]=i;
}
cudaMemcpy(gival, ival, sizeof(int)*datasize_xy,cudaMemcpyHostToDevice);
cudaMalloc((void**) &gpuptn_lam, sizeof(float)*(6));
cudaMalloc((void**) &resultbxyz, sizeof(float)*BLOCK_NUM*3);
sumxyz=(float*) malloc(sizeof(float)*BLOCK_NUM*3);
for(i=0;i<=BLOCK_NUM*3-1;i++)
sumxyz[i]=0.0;
time_t start,stop,gputime;
time_t tim;
struct tm *at;
char now[80];
float *bxyz;
bxyz=(float*) malloc(sizeof(float)*datasize_xy*3);
x=(float*) malloc(sizeof(float)*ndx);
y=(float*) malloc(sizeof(float)*ndy);
cudaMalloc((void**) &gbxyz, sizeof(float)*datasize_xy*3);
//++++++++++++coordinates+++++++++++++++
cudaMalloc((void**) &gpux, sizeof(float)*ndx);
cudaMalloc((void**) &gpuy, sizeof(float)*ndy);
space=rsize/(ndx-1);