SO3_trans::SO3_trans(const Config & configSettings):Data(configSettings)
{
workspace_cx =(fftw_complex**)malloc(sizeof(fftw_complex*)*NUM_THREADS);
workspace_cx2=(fftw_complex**)malloc(sizeof(fftw_complex*)*NUM_THREADS);
workspace_re = (double **)malloc(sizeof(double*)*NUM_THREADS);
for(int i = 0; i<NUM_THREADS; i++)
{
workspace_cx[i] = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * n3);
workspace_cx2[i] = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * n3);
workspace_re[i] = (double *)malloc(sizeof(double)*(24*bw + 2*bw*bw));
}
wignerSpace = ((bw*bw)*(2+3*bw+bw*bw))/3 ;
wigners = (double *)malloc(sizeof(double) * wignerSpace);
wignersTrans = (double *)malloc(sizeof(double) * wignerSpace);
weights = (double *) malloc(sizeof(double) * (2*bw));
genWigAll( bw, wigners, workspace_re[0] );
genWigAllTrans( bw, wignersTrans, workspace_re[0]);
makeweights2( bw, weights );
{
int na[2], inembed[2], onembed[2];
int rank, howmany, istride, idist, ostride, odist;
howmany = n*n;
idist = n;
odist = n;
rank = 2 ;
inembed[0] = n;
inembed[1] = n*n;
onembed[0] = n;
onembed[1] = n*n;
istride = 1;
ostride = 1;
na[0] = 1;
na[1] = n;
p1 = fftw_plan_many_dft( rank, na, howmany,
workspace_cx2[0], inembed,
istride, idist,
workspace_cx[0], onembed,
ostride, odist,
FFTW_BACKWARD, FFTW_MEASURE );
//FFTW_BACKWARD, FFTW_PATIENT);
p2 = fftw_plan_many_dft( rank, na, howmany,
workspace_cx[0], inembed,
istride, idist,
workspace_cx2[0], onembed,
ostride, odist,
FFTW_FORWARD, FFTW_MEASURE );
//FFTW_FORWARD, FFTW_PATIENT);
}
}
PetscErrorCode MatApply_USFFT_Private(Mat A, fftw_plan *plan, int direction, Vec x,Vec y)
{
#if 0
PetscErrorCode ierr;
PetscScalar *r_array, *y_array;
Mat_USFFT* = (Mat_USFFT*)(A->data);
#endif
PetscFunctionBegin;
#if 0
/* resample x to usfft->resample */
ierr = MatResample_USFFT_Private(A, x);CHKERRQ(ierr);
/* NB: for now we use outdim for both x and y; this will change once a full USFFT is implemented */
ierr = VecGetArray(usfft->resample,&r_array);CHKERRQ(ierr);
ierr = VecGetArray(y,&y_array);CHKERRQ(ierr);
if (!*plan) { /* create a plan then execute it*/
if (usfft->dof == 1) {
#if defined(PETSC_DEBUG_USFFT)
ierr = PetscPrintf(PetscObjectComm((PetscObject)A), "direction = %d, usfft->ndim = %d\n", direction, usfft->ndim);CHKERRQ(ierr);
for (int ii = 0; ii < usfft->ndim; ++ii) {
ierr = PetscPrintf(PetscObjectComm((PetscObject)A), "usfft->outdim[%d] = %d\n", ii, usfft->outdim[ii]);CHKERRQ(ierr);
}
#endif
switch (usfft->dim) {
case 1:
*plan = fftw_plan_dft_1d(usfft->outdim[0],(fftw_complex*)x_array,(fftw_complex*)y_array,direction,usfft->p_flag);
break;
case 2:
*plan = fftw_plan_dft_2d(usfft->outdim[0],usfft->outdim[1],(fftw_complex*)x_array,(fftw_complex*)y_array,direction,usfft->p_flag);
break;
case 3:
*plan = fftw_plan_dft_3d(usfft->outdim[0],usfft->outdim[1],usfft->outdim[2],(fftw_complex*)x_array,(fftw_complex*)y_array,direction,usfft->p_flag);
break;
default:
*plan = fftw_plan_dft(usfft->ndim,usfft->outdim,(fftw_complex*)x_array,(fftw_complex*)y_array,direction,usfft->p_flag);
break;
}
fftw_execute(*plan);
} /* if (dof == 1) */
else { /* if (dof > 1) */
*plan = fftw_plan_many_dft(/*rank*/usfft->ndim, /*n*/usfft->outdim, /*howmany*/usfft->dof,
(fftw_complex*)x_array, /*nembed*/usfft->outdim, /*stride*/usfft->dof, /*dist*/1,
(fftw_complex*)y_array, /*nembed*/usfft->outdim, /*stride*/usfft->dof, /*dist*/1,
/*sign*/direction, /*flags*/usfft->p_flag);
fftw_execute(*plan);
} /* if (dof > 1) */
} /* if (!*plan) */
else { /* if (*plan) */
/* use existing plan */
fftw_execute_dft(*plan,(fftw_complex*)x_array,(fftw_complex*)y_array);
}
ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr);
ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr);
#endif
PetscFunctionReturn(0);
} /* MatApply_USFFT_Private() */
void make_fftw_plans(int size, ft_data *ftd){
int ncmp;
int rank, howmany, istride, idist, ostride, odist;
int n[1], inembed[1], onembed[1];
int nxfm;
unsigned flags;
int dir;
double dtime = start_timing();
flags = FFTW_ESTIMATE; /* Could try FFTW_MEASURE */
rank = 1;
/* Number of complex values in a 4D site datum */
ncmp = size/sizeof(complex);
idist = odist = 1;
for(dir = 0; dir < NDIM; dir++)
if(layout[dir] != NULL){
nxfm = layout[dir]->nxfm;
/* The FT dimension */
n[0] = inembed[0] = onembed[0] = nxfm;
/* Number of contiguous complex values per 1D coordinate being
transformed */
howmany = (sites_on_node*ncmp)/nxfm;
ostride = istride = howmany;
fwd_plan[dir] =
fftw_plan_many_dft(rank, n, howmany,
ftd->data, inembed, istride, idist,
ftd->tmp, onembed, ostride, odist,
FFTW_FORWARD, flags);
bck_plan[dir] =
fftw_plan_many_dft(rank, n, howmany,
ftd->data, inembed, istride, idist,
ftd->tmp, onembed, ostride, odist,
FFTW_BACKWARD, flags);
}
print_timing(dtime, "make FFTW plans");
}
void ifft(int N, double *in, int stride) {
int i;
fftw_plan p;
p = fftw_plan_many_dft(1,&N, 1, (fftw_complex *)in, NULL, stride, 0, (fftw_complex *)in, NULL, stride, 0, FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_execute(p);
fftw_destroy_plan(p);
for (i=0; i<N; i++) {
in[i*2*stride] /= N+0.0;
in[i*2*stride+1] /= N+0.0;
}
}
THREADABLE_FUNCTION_6ARG(fft4d, complex*,out, complex*,in, int*,ext_dirs, int,ncpp, double,sign, int,normalize)
{
GET_THREAD_ID();
//first of all put in to out
if(out!=in) vector_copy(out,in);
//list all dirs
int dirs[NDIM],ndirs=0;
for(int mu=0;mu<NDIM;mu++) if(ext_dirs[mu]) dirs[ndirs++]=mu;
verbosity_lv2_master_printf("Going to FFT: %d dimensions in total\n",ndirs);
if(ndirs)
{
//allocate buffer
complex *buf=nissa_malloc("buf",max_locd_size*ncpp,complex);
//allocate plans
fftw_plan *plans=nissa_malloc("plans",ndirs,fftw_plan);
if(IS_MASTER_THREAD)
for(int idir=0;idir<ndirs;idir++)
plans[idir]=fftw_plan_many_dft(1,glb_size+dirs[idir],ncpp,buf,NULL,ncpp,1,buf,NULL,ncpp,1,sign,FFTW_ESTIMATE);
THREAD_BARRIER();
//transpose each dir in turn and take fft
for(int idir=0;idir<ndirs;idir++)
{
int mu=dirs[idir];
verbosity_lv2_master_printf("FFT-ing dimension %d/%d=%d\n",idir+1,ndirs,mu);
remap_lx_vector_to_locd(buf,out,ncpp*sizeof(complex),mu);
//makes all the fourier transform
NISSA_PARALLEL_LOOP(ioff,0,locd_perp_size_per_dir[mu])
fftw_execute_dft(plans[idir],buf+ioff*glb_size[mu]*ncpp,buf+ioff*glb_size[mu]*ncpp);
THREAD_BARRIER();
remap_locd_vector_to_lx(out,buf,ncpp*sizeof(complex),mu);
}
//destroy plans
if(IS_MASTER_THREAD) for(int idir=0;idir<ndirs;idir++) fftw_destroy_plan(plans[idir]);
//put normaliisation
if(normalize)
{
double norm=glb_size[dirs[0]];
for(int idir=1;idir<ndirs;idir++) norm*=glb_size[idir];
double_vector_prod_double((double*)out,(double*)out,1/norm,2*ncpp*loc_vol);
}
nissa_free(buf);
nissa_free(plans);
}
}
void eigencoeffs(T *x, uint_t n, const double *tapers, const double *lambda, uint_t K, bool remove_mean, uint_t N, fftw_complex *Jkx){
T mx=tmath::mean<T>(x,n); //computes standard mean
double tmp; //temporary variable
T wmx; //weighted mean
const int nsize=N;
// Remove weighted averages, reducing bias from non-centred data
//(forces eigenspectra to have zero DC component)
for ( uint_t ii=0; ii<K; ii++){
if (remove_mean==true){
tmp=tmath::sum<double>(&tapers[ii*n],n);
//tmp should be near zero for odd tapers (but due to round-off may not be exactly zero)
if ( tmath::abs<double>(tmp) > ZERO_TOL ){
wmx=tmath::dot_mult<T,double>(x,&tapers[ii*n],n);
wmx=wmx/tmp;
}
else {
// for odd DPSS sequences, the weighted average is zero
// However, we remove the regular mean for good measure
wmx=mx;
}
}
else {
wmx=0;
}
for (uint_t jj=0; jj<n; jj++){
Jkx[ii*N+jj]=x[jj]-wmx; //prepares for in-place FFT
}
}
//Window the data
for ( uint_t ii=0; ii<K; ii++){
tmath::pw_mult<fftw_complex,double>(&Jkx[ii*N], &tapers[ii*n], n, &Jkx[ii*N] );
//zero-pad rest of array
for (uint_t jj=n; jj<N; jj++){
Jkx[ii*N+jj]=0;
}
}
// COMPUTE EIGENSPECTRA
// computes all K ffts in one step
fftw_load(); //potentially load fftw3
fftw_plan px = fftw_plan_many_dft(1, &nsize, K , Jkx, NULL, 1, N, Jkx, NULL, 1, N, FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(px);
fftw_destroy_plan(px);
}
bool do_ifft_1d_c2r(int M, int N, float* out, float* in)
{
/*
if (num_threads>1) {
fftw_init_threads();
fftw_plan_with_nthreads(num_threads);
}
*/
int MN = M * N;
fftw_complex* in2 = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * MN);
fftw_complex* out2 = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * MN);
for (int ii = 0; ii < MN; ii++) {
in2[ii][0] = in[ii * 2];
in2[ii][1] = in[ii * 2 + 1];
}
fftw_plan p;
int rank = 1;
int n[] = { N };
int howmany = M;
int* inembed = n;
int istride = M;
int idist = 1;
int* onembed = n;
int ostride = M;
int odist = 1;
int sign = FFTW_BACKWARD;
unsigned flags = FFTW_ESTIMATE;
#pragma omp critical
p = fftw_plan_many_dft(rank, n, howmany, in2, inembed, istride, idist, out2, onembed, ostride, odist, sign, flags);
//p=fftw_plan_dft_1d(N,in2,out2,FFTW_BACKWARD,FFTW_ESTIMATE);
fftw_execute(p);
for (int ii = 0; ii < MN; ii++) {
out[ii] = out2[ii][0];
}
fftw_free(in2);
fftw_free(out2);
/*
if (num_threads>1) {
fftw_cleanup_threads();
}
*/
#pragma omp critical
fftw_destroy_plan(p);
return true;
}
/**
* fft makes an 1D-ftt for every knot through
* all layers
*/
static void fft(int N,int M,int Z, fftw_complex *mem)
{
fftw_plan plan;
plan = fftw_plan_many_dft(1, &Z, N*N,
mem, NULL,
N*N, 1,
mem, NULL,
N*N,1 ,
FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(plan); /* execute the fft */
fftw_destroy_plan(plan);
}
fftw_plan spinor_fftw_plan2d(spinor *spinor_in,spinor *spinor_out,int dim0,int dim1,int howmany_wospin,unsigned int forward,int fftw_flags){
/* int index_s = gsi(get_index(it, ix, iy, iz, T, L)); */
/* double *xi_ = xi + index_s; */
int Dim1[2];
/* cerr << "Trying to create a plan for T=" << T << " L=" << L ; */
/* cerr.flush(); */
int rank=2;
int stride=12*howmany_wospin;
int dist=1;
int howmany=12*howmany_wospin;
fftw_plan plan;
Dim1[0]=dim0;
Dim1[1]=dim1;
if(fftw_flags==-1){fftw_flags=FFTW_ESTIMATE;}
if(forward){
plan=fftw_plan_many_dft(rank, Dim1, howmany, (fftw_complex*)spinor_in, NULL, stride, dist,
(fftw_complex*)spinor_out,NULL,stride,dist,
FFTW_FORWARD,fftw_flags);
} else {
plan=fftw_plan_many_dft(rank, Dim1, howmany, (fftw_complex*)spinor_in, NULL, stride, dist,
(fftw_complex*)spinor_out,NULL,stride,dist,
FFTW_BACKWARD,fftw_flags);
}
/* if(plan!=NULL) cerr << " [OK]"<< endl; */
/* else cerr << " [FAIL]"<< endl; */
/* cerr.flush(); */
return plan;
}
Fourier::Fourier(int n)
{
const char* fname = "void Fourier::Initialize()";
VRB.Debug(fname, "Allocating memory and creating plans for FFTW.");
batch_size = n;
#ifdef USE_SINGLE
b = (fftComplex*) fftwf_malloc(batch_size*GJP.Vol()*sizeof(fftComplex));
#endif
#ifdef USE_DOUBLE
b = (fftComplex*) fftw_malloc(batch_size*GJP.Vol()*sizeof(fftComplex));
#endif
#ifdef USE_LONG_DOUBLE
b = (fftComplex*) fftwl_malloc(batch_size*GJP.Vol()*sizeof(fftComplex));
#endif
// Below needs to be adjusted for batch ffts; double check in place
int vol = GJP.Vol();
int dims[3] = { GJP.Xsites(), GJP.Ysites(), GJP.Zsites() };
#ifdef USE_SINGLE
p1 = fftwf_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_BACKWARD, FFTW_EXHAUSTIVE);
p2 = fftwf_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_FORWARD, FFTW_EXHAUSTIVE);
#endif
#ifdef USE_DOUBLE
p1 = fftw_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_BACKWARD, FFTW_EXHAUSTIVE);
p2 = fftw_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_FORWARD, FFTW_EXHAUSTIVE);
#endif
#ifdef USE_LONG_DOUBLE
p1 = fftwl_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_BACKWARD, FFTW_EXHAUSTIVE);
p2 = fftwl_plan_many_dft(3, dims, batch_size, b, NULL, 1, vol, b, NULL, 1, vol, FFTW_FORWARD, FFTW_EXHAUSTIVE);
#endif
}
int main(int argc, char **argv)
{
fftw_complex *mem;
fftw_plan plan;
int N,M,Z;
if (argc <= 6) {
printf("usage: ./reconstruct_data_gridding FILENAME N M Z ITER WEIGHTS\n");
return 1;
}
N=atoi(argv[2]);
M=atoi(argv[3]);
Z=atoi(argv[4]);
/* Allocate memory to hold every slice in memory after the
2D-infft */
mem = (fftw_complex*) nfft_malloc(sizeof(fftw_complex) * atoi(argv[2]) * atoi(argv[2]) * atoi(argv[4]));
/* Create plan for the 1d-ifft */
plan = fftw_plan_many_dft(1, &Z, N*N,
mem, NULL,
N*N, 1,
mem, NULL,
N*N,1 ,
FFTW_BACKWARD, FFTW_MEASURE);
/* execute the 2d-nfft's */
reconstruct(argv[1],atoi(argv[2]),atoi(argv[3]),atoi(argv[4]),atoi(argv[6]),mem);
/* execute the 1d-fft's */
fftw_execute(plan);
/* write the memory back in files */
print(N,M,Z, mem);
/* free memory */
nfft_free(mem);
return 1;
}
FFT_DATA *_fwd(cow_dfield *f, double *fx, int start, int stride)
{
FFT_DATA *Fk = NULL;
FFT_DATA *Fx = NULL;
if (cow_mpirunning()) {
#if (COW_MPI)
int nbuf;
long long ntot = cow_domain_getnumglobalzones(f->domain, COW_ALL_DIMS);
struct fft_plan_3d *plan = call_fft_plan_3d(f->domain, &nbuf);
Fx = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
Fk = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
for (int n=0; n<nbuf; ++n) {
Fx[n][0] = fx[stride * n + start] / ntot;
Fx[n][1] = 0.0;
}
fft_3d(Fx, Fk, FFT_FWD, plan);
free(Fx);
fft_3d_destroy_plan(plan);
#endif // COW_MPI
}
else {
int nbuf = cow_domain_getnumlocalzonesinterior(f->domain, COW_ALL_DIMS);
long long ntot = cow_domain_getnumglobalzones(f->domain, COW_ALL_DIMS);
Fx = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
Fk = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
for (int n=0; n<nbuf; ++n) {
Fx[n][0] = fx[stride * n + start] / ntot;
Fx[n][1] = 0.0;
}
int *N = f->domain->L_nint;
fftw_plan plan = fftw_plan_many_dft(3, N, 1,
Fx, NULL, 1, 0,
Fk, NULL, 1, 0,
FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(plan);
fftw_destroy_plan(plan);
free(Fx);
}
return Fk;
}
double *_rev(cow_domain *d, FFT_DATA *Fk)
{
FFT_DATA *Fx = NULL;
double *fx = NULL;
if (cow_mpirunning()) {
#if (COW_MPI)
int nbuf;
long long ntot = cow_domain_getnumglobalzones(d, COW_ALL_DIMS);
struct fft_plan_3d *plan = call_fft_plan_3d(d, &nbuf);
fx = (double*) malloc(nbuf * sizeof(double));
Fx = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
fft_3d(Fk, Fx, FFT_REV, plan);
for (int n=0; n<nbuf; ++n) {
fx[n] = Fx[n][0] / ntot;
}
free(Fx);
fft_3d_destroy_plan(plan);
#endif // COW_MPI
}
else {
int nbuf = cow_domain_getnumlocalzonesinterior(d, COW_ALL_DIMS);
long long ntot = cow_domain_getnumglobalzones(d, COW_ALL_DIMS);
fx = (double*) malloc(nbuf * sizeof(double));
Fx = (FFT_DATA*) malloc(nbuf * sizeof(FFT_DATA));
int *N = d->L_nint;
fftw_plan plan = fftw_plan_many_dft(3, N, 1,
Fk, NULL, 1, 0,
Fx, NULL, 1, 0,
FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_execute(plan);
for (int n=0; n<nbuf; ++n) {
fx[n] = Fx[n][0] / ntot;
}
free(Fx);
fftw_destroy_plan(plan);
}
return fx;
}
fftw_plan nl_createplan (lua_State *L,
nl_Matrix *m, int inverse, unsigned flags, lua_Number *scale) {
fftw_plan plan;
int i;
nl_Buffer *dim = nl_getbuffer(L, m->ndims);
for (i = 0; i < m->ndims; i++) /* reverse dims */
dim->data.bint[i] = m->dim[m->ndims - 1 - i];
*scale = 1.0 / m->size;
if (m->iscomplex) { /* fft plan? */
/* in-place, howmany == 1, dist ignored, nembed == n */
plan = fftw_plan_many_dft(m->ndims, (const int *) dim->data.bint, 1,
(fftw_complex *) m->data, NULL, m->stride, 0,
(fftw_complex *) m->data, NULL, m->stride, 0,
inverse ? FFTW_BACKWARD : FFTW_FORWARD, flags);
}
else { /* fct plan? */
nl_Buffer *kind = nl_getbuffer(L, m->ndims);
if (inverse) {
for (i = 0; i < m->ndims; i++) {
kind->data.bint[i] = FFTW_REDFT01;
*scale *= 0.5;
}
}
else {
for (i = 0; i < m->ndims; i++)
kind->data.bint[i] = FFTW_REDFT10;
}
/* in-place, howmany == 1, dist ignored, nembed == n */
plan = fftw_plan_many_r2r(m->ndims, (const int *) dim->data.bint, 1,
m->data, NULL, m->stride, 0,
m->data, NULL, m->stride, 0,
(const fftw_r2r_kind *) kind->data.bint, flags);
nl_freebuffer(kind);
}
nl_freebuffer(dim);
return plan;
}
/**
* @brief Complex DFT and inverse DFT calculation wrapper
*
* Compute the DFT or inverse DFT of the complex matrix X of size (nvar x nobs)
* into the complex matrix Y of size (nvar x nobs) depending on the sign of sign
* parameter.
*
* @param[out] Y Output matrix of complex numbers (double[2]) of size (nvar x nobs)
* @param[in] X Input matrix of complex numbers (double[2]) of size (nvar x nobs) [can be the same as Y]
* @param[in] nvar Number of variables (rows) within X and Y
* @param[in] nobs Number of observations (columns) within X and Y
* @param[in] sign If -1 computes the DFT, if 1 computes the inverse DFT of X
*
* @return Pointer to Y or NULL if DFT fails
*/
double *_fft(double *Y, const double *X, const unsigned long nvar, const unsigned long nobs, int sign) {
const int n = nvar;
unsigned long i,nelem;
fftw_plan plan = fftw_plan_many_dft(1, // [int rank] Rank 1 DFT
&n, // [const int *n] Number of variables within input array
nobs, // [int howmany] Number of observations (number of DFT to perform)
(fftw_complex *) X, // [fftw_complex *in] Input array is X (it is cast to non-const but will not be modified since FFTW_DESTROY_INPUT is not set)
NULL, // [const int *inembed] Distance between each rank in input array (Not used since rank=1)
1, // [int istride] Distance between successive variables in input array (in unit of fftw_complex)
nvar, // [int idist] Distance between 2 observations in input array (in unit of fftw_complex)
(fftw_complex *) Y, // [fftw_complex *out] Output array is Y
NULL, // [const int *onembed] Distance between each rank in output array (Not used since rank=1)
1, // [int ostride] Distance between successive variables in output array (in unit of fftw_complex)
nvar, // [int odist] Distance between 2 observations in output array (in unit of fftw_complex)
sign, // sign of the exponent in the formula that defines the Fourier transform (-1 or +1)
FFTW_ESTIMATE); // [unsigned flags] Quickly choose a plan without performing full benchmarks (maybe sub-optimal but take less time)
// If plan building fails, quit
if(!plan)
return NULL;
// Execute FFTW plan
fftw_execute(plan);
// If we compute the inverse transform (sign == 1), normalize result by nvar (FFTW compute unnormalized transform)
if(sign == 1) {
nelem = 2 * nvar * nobs;
for(i = 0; i < nelem; i++)
Y[i] /= nvar;
}
// Destroy FFTW plan
fftw_destroy_plan(plan);
return Y;
}
int main(int argc, char *argv[])
{
int ret = EXIT_FAILURE;
// Set up the PRNG
dsfmt_t *dsfmt = malloc(sizeof(dsfmt_t));
if(dsfmt == NULL) {
fprintf(stdout, "unable to allocate PRNG\n");
goto skip_deallocate_prng;
}
dsfmt_init_gen_rand(dsfmt, SEED);
// Set up the source values
double *src = fftw_malloc(N*VL*sizeof(double));
if(src == NULL) {
fprintf(stdout, "unable to allocate source vector\n");
goto skip_deallocate_src;
}
for(unsigned int i = 0; i < N*VL; ++i) {
src[i] = dsfmt_genrand_open_close(dsfmt);
}
// Allocate the FFT destination array
double complex *fft = fftw_malloc(N*VL*sizeof(double complex));
if(fft == NULL) {
fprintf(stdout, "unable to allocate fft vector\n");
goto skip_deallocate_fft;
}
// Execute the forward FFT
fftw_plan fwd_plan = fftw_plan_many_dft_r2c(1, &N, VL,
src, NULL, VL, 1, fft, NULL, VL, 1, FFTW_ESTIMATE);
if(fwd_plan == NULL) {
fprintf(stdout, "unable to allocate fft forward plan\n");
goto skip_deallocate_fwd_plan;
}
fftw_execute(fwd_plan);
// Fill in the rest of the destination values using the Hermitian property.
fft_r2c_1d_vec_finish(fft, N, VL);
// Allocate the reverse FFT destination array
double complex *dst = fftw_malloc(N*VL*sizeof(double complex));
if(dst == NULL) {
fprintf(stdout, "unable to allocate dst vector\n");
goto skip_deallocate_dst;
}
// Perform the reverse FFT
fftw_plan rev_plan = fftw_plan_many_dft(1, &N, VL, fft, NULL, VL, 1,
dst, NULL, VL, 1, FFTW_BACKWARD, FFTW_ESTIMATE);
if(rev_plan == NULL) {
fprintf(stdout, "unable to allocate fft reverse plan\n");
goto skip_deallocate_rev_plan;
}
fftw_execute(rev_plan);
// Compare the two vectors by sup norm
double norm = 0.0;
for(unsigned int i = 0; i < N*VL; ++i) {
// Divide the resulting by N, because FFTW computes the un-normalized DFT:
// the forward followed by reverse transform scales the data by N.
norm = fmax(norm, cabs(dst[i]/N - src[i]));
}
if(norm <= 1e-6) {
ret = EXIT_SUCCESS;
}
fftw_destroy_plan(rev_plan);
skip_deallocate_rev_plan:
fftw_free(dst);
skip_deallocate_dst:
fftw_destroy_plan(fwd_plan);
skip_deallocate_fwd_plan:
fftw_free(fft);
skip_deallocate_fft:
fftw_free(src);
skip_deallocate_src:
free(dsfmt);
skip_deallocate_prng:
// Keep valgrind happy by having fftw clean up its internal structures. This
// helps ensure we aren't leaking memory.
fftw_cleanup();
return ret;
}
void fft_3d(FFT_DATA *in, FFT_DATA *out, int flag, struct fft_plan_3d *plan)
{
int i,total,length,num;
double norm;
FFT_DATA *data,*copy;
/* pre-remap to prepare for 1st FFTs if needed
copy = loc for remap result */
if (plan->pre_plan) {
if (plan->pre_target == 0)
copy = out;
else
copy = plan->copy;
remap_3d((double *) in, (double *) copy, (double *) plan->scratch,
plan->pre_plan);
data = copy;
}
else
data = in;
// ---------------------------------------------------------------------------
// 1d FFTs along mid axis
// ---------------------------------------------------------------------------
total = plan->total1;
length = plan->length1;
{
int sign = flag == +1 ? FFTW_FORWARD : FFTW_BACKWARD;
int N = length;
fftw_plan fftplan = fftw_plan_many_dft(1, &N, total/length,
data, NULL,
1, length,
data, NULL,
1, length,
sign, FFTW_ESTIMATE);
fftw_execute(fftplan);
fftw_destroy_plan(fftplan);
}
/* 1st mid-remap to prepare for 2nd FFTs
copy = loc for remap result */
if (plan->mid1_target == 0)
copy = out;
else
copy = plan->copy;
remap_3d((double *) data, (double *) copy, (double *) plan->scratch,
plan->mid1_plan);
data = copy;
// ---------------------------------------------------------------------------
// 1d FFTs along mid axis
// ---------------------------------------------------------------------------
total = plan->total2;
length = plan->length2;
{
int sign = flag == +1 ? FFTW_FORWARD : FFTW_BACKWARD;
int N = length;
fftw_plan fftplan = fftw_plan_many_dft(1, &N, total/length,
data, NULL,
1, length,
data, NULL,
1, length,
sign, FFTW_ESTIMATE);
fftw_execute(fftplan);
fftw_destroy_plan(fftplan);
}
/* 2nd mid-remap to prepare for 3rd FFTs
copy = loc for remap result */
if (plan->mid2_target == 0)
copy = out;
else
copy = plan->copy;
remap_3d((double *) data, (double *) copy, (double *) plan->scratch,
plan->mid2_plan);
data = copy;
// ---------------------------------------------------------------------------
// 1d FFTs along slow axis
// ---------------------------------------------------------------------------
total = plan->total3;
length = plan->length3;
{
int sign = flag == +1 ? FFTW_FORWARD : FFTW_BACKWARD;
int N = length;
fftw_plan fftplan = fftw_plan_many_dft(1, &N, total/length,
data, NULL,
1, length,
data, NULL,
1, length,
sign, FFTW_ESTIMATE);
fftw_execute(fftplan);
fftw_destroy_plan(fftplan);
}
/* post-remap to put data in output format if needed
destination is always out */
if (plan->post_plan)
remap_3d((double *) data, (double *) out, (double *) plan->scratch,
plan->post_plan);
/* scaling if required */
if (flag == -1 && plan->scaled) {
norm = plan->norm;
num = plan->normnum;
for (i = 0; i < num; i++) {
out[i][0] *= norm;
out[i][1] *= norm;
}
}
}
int dfft_init(double **data,
int *local_mesh_dim, int *local_mesh_margin,
int* global_mesh_dim, double *global_mesh_off,
int *ks_pnum)
{
int i,j;
/* helpers */
int mult[3];
int n_grid[4][3]; /* The four node grids. */
int my_pos[4][3]; /* The position of this_node in the node grids. */
int *n_id[4]; /* linear node identity lists for the node grids. */
int *n_pos[4]; /* positions of nodes in the node grids. */
/* FFTW WISDOM stuff. */
char wisdom_file_name[255];
FILE *wisdom_file;
int wisdom_status;
FFT_TRACE(fprintf(stderr,"%d: dipolar dfft_init():\n",this_node));
dfft.max_comm_size=0; dfft.max_mesh_size=0;
for(i=0;i<4;i++) {
n_id[i] = (int *) malloc(1*n_nodes*sizeof(int));
n_pos[i] = (int *) malloc(3*n_nodes*sizeof(int));
}
/* === node grids === */
/* real space node grid (n_grid[0]) */
for(i=0;i<3;i++) {
n_grid[0][i] = node_grid[i];
my_pos[0][i] = node_pos[i];
}
for(i=0;i<n_nodes;i++) {
map_node_array(i,&(n_pos[0][3*i+0]));
n_id[0][get_linear_index( n_pos[0][3*i+0],n_pos[0][3*i+1],n_pos[0][3*i+2], n_grid[0])] = i;
}
/* FFT node grids (n_grid[1 - 3]) */
calc_2d_grid(n_nodes,n_grid[1]);
/* resort n_grid[1] dimensions if necessary */
dfft.plan[1].row_dir = map_3don2d_grid(n_grid[0], n_grid[1], mult);
dfft.plan[0].n_permute = 0;
for(i=1;i<4;i++) dfft.plan[i].n_permute = (dfft.plan[1].row_dir+i)%3;
for(i=0;i<3;i++) {
n_grid[2][i] = n_grid[1][(i+1)%3];
n_grid[3][i] = n_grid[1][(i+2)%3];
}
dfft.plan[2].row_dir = (dfft.plan[1].row_dir-1)%3;
dfft.plan[3].row_dir = (dfft.plan[1].row_dir-2)%3;
/* === communication groups === */
/* copy local mesh off real space charge assignment grid */
for(i=0;i<3;i++) dfft.plan[0].new_mesh[i] = local_mesh_dim[i];
for(i=1; i<4;i++) {
dfft.plan[i].g_size=fft_find_comm_groups(n_grid[i-1], n_grid[i], n_id[i-1], n_id[i],
dfft.plan[i].group, n_pos[i], my_pos[i]);
if(dfft.plan[i].g_size==-1) {
/* try permutation */
j = n_grid[i][(dfft.plan[i].row_dir+1)%3];
n_grid[i][(dfft.plan[i].row_dir+1)%3] = n_grid[i][(dfft.plan[i].row_dir+2)%3];
n_grid[i][(dfft.plan[i].row_dir+2)%3] = j;
dfft.plan[i].g_size=fft_find_comm_groups(n_grid[i-1], n_grid[i], n_id[i-1], n_id[i],
dfft.plan[i].group, n_pos[i], my_pos[i]);
if(dfft.plan[i].g_size==-1) {
fprintf(stderr,"%d: dipolar INTERNAL ERROR: fft_find_comm_groups error\n", this_node);
errexit();
}
}
dfft.plan[i].send_block = (int *)realloc(dfft.plan[i].send_block, 6*dfft.plan[i].g_size*sizeof(int));
dfft.plan[i].send_size = (int *)realloc(dfft.plan[i].send_size, 1*dfft.plan[i].g_size*sizeof(int));
dfft.plan[i].recv_block = (int *)realloc(dfft.plan[i].recv_block, 6*dfft.plan[i].g_size*sizeof(int));
dfft.plan[i].recv_size = (int *)realloc(dfft.plan[i].recv_size, 1*dfft.plan[i].g_size*sizeof(int));
dfft.plan[i].new_size = fft_calc_local_mesh(my_pos[i], n_grid[i], global_mesh_dim,
global_mesh_off, dfft.plan[i].new_mesh,
dfft.plan[i].start);
permute_ifield(dfft.plan[i].new_mesh,3,-(dfft.plan[i].n_permute));
permute_ifield(dfft.plan[i].start,3,-(dfft.plan[i].n_permute));
dfft.plan[i].n_ffts = dfft.plan[i].new_mesh[0]*dfft.plan[i].new_mesh[1];
/* === send/recv block specifications === */
for(j=0; j<dfft.plan[i].g_size; j++) {
int k, node;
/* send block: this_node to comm-group-node i (identity: node) */
node = dfft.plan[i].group[j];
dfft.plan[i].send_size[j]
= fft_calc_send_block(my_pos[i-1], n_grid[i-1], &(n_pos[i][3*node]), n_grid[i],
global_mesh_dim, global_mesh_off, &(dfft.plan[i].send_block[6*j]));
permute_ifield(&(dfft.plan[i].send_block[6*j]),3,-(dfft.plan[i-1].n_permute));
permute_ifield(&(dfft.plan[i].send_block[6*j+3]),3,-(dfft.plan[i-1].n_permute));
if(dfft.plan[i].send_size[j] > dfft.max_comm_size)
dfft.max_comm_size = dfft.plan[i].send_size[j];
/* First plan send blocks have to be adjusted, since the CA grid
may have an additional margin outside the actual domain of the
node */
if(i==1) {
for(k=0;k<3;k++)
dfft.plan[1].send_block[6*j+k ] += local_mesh_margin[2*k];
}
/* recv block: this_node from comm-group-node i (identity: node) */
dfft.plan[i].recv_size[j]
= fft_calc_send_block(my_pos[i], n_grid[i], &(n_pos[i-1][3*node]), n_grid[i-1],
global_mesh_dim, global_mesh_off,&(dfft.plan[i].recv_block[6*j]));
permute_ifield(&(dfft.plan[i].recv_block[6*j]),3,-(dfft.plan[i].n_permute));
permute_ifield(&(dfft.plan[i].recv_block[6*j+3]),3,-(dfft.plan[i].n_permute));
if(dfft.plan[i].recv_size[j] > dfft.max_comm_size)
dfft.max_comm_size = dfft.plan[i].recv_size[j];
}
for(j=0;j<3;j++) dfft.plan[i].old_mesh[j] = dfft.plan[i-1].new_mesh[j];
if(i==1)
dfft.plan[i].element = 1;
else {
dfft.plan[i].element = 2;
for(j=0; j<dfft.plan[i].g_size; j++) {
dfft.plan[i].send_size[j] *= 2;
dfft.plan[i].recv_size[j] *= 2;
}
}
/* DEBUG */
for(j=0;j<n_nodes;j++) {
/* MPI_Barrier(comm_cart); */
if(j==this_node) FFT_TRACE(fft_print_fft_plan(dfft.plan[i]));
}
}
/* Factor 2 for complex fields */
dfft.max_comm_size *= 2;
dfft.max_mesh_size = (local_mesh_dim[0]*local_mesh_dim[1]*local_mesh_dim[2]);
for(i=1;i<4;i++)
if(2*dfft.plan[i].new_size > dfft.max_mesh_size) dfft.max_mesh_size = 2*dfft.plan[i].new_size;
FFT_TRACE(fprintf(stderr,"%d: dfft.max_comm_size = %d, dfft.max_mesh_size = %d\n",
this_node,dfft.max_comm_size,dfft.max_mesh_size));
/* === pack function === */
for(i=1;i<4;i++) {
dfft.plan[i].pack_function = fft_pack_block_permute2;
FFT_TRACE(fprintf(stderr,"%d: forw plan[%d] permute 2 \n",this_node,i));
}
(*ks_pnum)=6;
if(dfft.plan[1].row_dir==2) {
dfft.plan[1].pack_function = fft_pack_block;
FFT_TRACE(fprintf(stderr,"%d: forw plan[%d] permute 0 \n",this_node,1));
(*ks_pnum)=4;
}
else if(dfft.plan[1].row_dir==1) {
dfft.plan[1].pack_function = fft_pack_block_permute1;
FFT_TRACE(fprintf(stderr,"%d: forw plan[%d] permute 1 \n",this_node,1));
(*ks_pnum)=5;
}
/* Factor 2 for complex numbers */
dfft.send_buf = (double *)realloc(dfft.send_buf, dfft.max_comm_size*sizeof(double));
dfft.recv_buf = (double *)realloc(dfft.recv_buf, dfft.max_comm_size*sizeof(double));
(*data) = (double *)realloc((*data), dfft.max_mesh_size*sizeof(double));
dfft.data_buf = (double *)realloc(dfft.data_buf, dfft.max_mesh_size*sizeof(double));
if(!(*data) || !dfft.data_buf || !dfft.recv_buf || !dfft.send_buf) {
fprintf(stderr,"%d: Could not allocate FFT data arays\n",this_node);
errexit();
}
fftw_complex *c_data = (fftw_complex *) (*data);
/* === FFT Routines (Using FFTW / RFFTW package)=== */
for(i=1;i<4;i++) {
dfft.plan[i].dir = FFTW_FORWARD;
/* FFT plan creation.
Attention: destroys contents of c_data/data and c_data_buf/data_buf. */
wisdom_status = FFTW_FAILURE;
sprintf(wisdom_file_name,"dfftw3_1d_wisdom_forw_n%d.file",
dfft.plan[i].new_mesh[2]);
if( (wisdom_file=fopen(wisdom_file_name,"r"))!=NULL ) {
wisdom_status = fftw_import_wisdom_from_file(wisdom_file);
fclose(wisdom_file);
}
if(dfft.init_tag==1) fftw_destroy_plan(dfft.plan[i].our_fftw_plan);
//printf("dfft.plan[%d].n_ffts=%d\n",i,dfft.plan[i].n_ffts);
dfft.plan[i].our_fftw_plan =
fftw_plan_many_dft(1,&dfft.plan[i].new_mesh[2],dfft.plan[i].n_ffts,
c_data,NULL,1,dfft.plan[i].new_mesh[2],
c_data,NULL,1,dfft.plan[i].new_mesh[2],
dfft.plan[i].dir,FFTW_PATIENT);
if( wisdom_status == FFTW_FAILURE &&
(wisdom_file=fopen(wisdom_file_name,"w"))!=NULL ) {
fftw_export_wisdom_to_file(wisdom_file);
fclose(wisdom_file);
}
dfft.plan[i].fft_function = fftw_execute;
}
/* === The BACK Direction === */
/* this is needed because slightly different functions are used */
for(i=1;i<4;i++) {
dfft.back[i].dir = FFTW_BACKWARD;
wisdom_status = FFTW_FAILURE;
sprintf(wisdom_file_name,"dfftw3_1d_wisdom_back_n%d.file",
dfft.plan[i].new_mesh[2]);
if( (wisdom_file=fopen(wisdom_file_name,"r"))!=NULL ) {
wisdom_status = fftw_import_wisdom_from_file(wisdom_file);
fclose(wisdom_file);
}
if(dfft.init_tag==1) fftw_destroy_plan(dfft.back[i].our_fftw_plan);
dfft.back[i].our_fftw_plan =
fftw_plan_many_dft(1,&dfft.plan[i].new_mesh[2],dfft.plan[i].n_ffts,
c_data,NULL,1,dfft.plan[i].new_mesh[2],
c_data,NULL,1,dfft.plan[i].new_mesh[2],
dfft.back[i].dir,FFTW_PATIENT);
if( wisdom_status == FFTW_FAILURE &&
(wisdom_file=fopen(wisdom_file_name,"w"))!=NULL ) {
fftw_export_wisdom_to_file(wisdom_file);
fclose(wisdom_file);
}
dfft.back[i].fft_function = fftw_execute;
dfft.back[i].pack_function = fft_pack_block_permute1;
FFT_TRACE(fprintf(stderr,"%d: back plan[%d] permute 1 \n",this_node,i));
}
if(dfft.plan[1].row_dir==2) {
dfft.back[1].pack_function = fft_pack_block;
FFT_TRACE(fprintf(stderr,"%d: back plan[%d] permute 0 \n",this_node,1));
}
else if(dfft.plan[1].row_dir==1) {
dfft.back[1].pack_function = fft_pack_block_permute2;
FFT_TRACE(fprintf(stderr,"%d: back plan[%d] permute 2 \n",this_node,1));
}
dfft.init_tag=1;
/* free(data); */
for(i=0;i<4;i++) { free(n_id[i]); free(n_pos[i]); }
return dfft.max_mesh_size;
}
Array<T> fftconvolve(Array<T> const& signal, Array<T> const& filter,
const bool expand, ConvolveBatchKind kind)
{
const af::dim4 sd = signal.dims();
const af::dim4 fd = filter.dims();
dim_t fftScale = 1;
af::dim4 packed_dims;
int fft_dims[baseDim];
af::dim4 sig_tmp_dims, sig_tmp_strides;
af::dim4 filter_tmp_dims, filter_tmp_strides;
// Pack both signal and filter on same memory array, this will ensure
// better use of batched cuFFT capabilities
for (dim_t k = 0; k < 4; k++) {
if (k < baseDim)
packed_dims[k] = nextpow2((unsigned)(sd[k] + fd[k] - 1));
else if (k == baseDim)
packed_dims[k] = sd[k] + fd[k];
else
packed_dims[k] = 1;
if (k < baseDim) {
fft_dims[baseDim-k-1] = (k == 0) ? packed_dims[k] / 2 : packed_dims[k];
fftScale *= fft_dims[baseDim-k-1];
}
}
Array<convT> packed = createEmptyArray<convT>(packed_dims);
convT *packed_ptr = packed.get();
const af::dim4 packed_strides = packed.strides();
sig_tmp_dims[0] = filter_tmp_dims[0] = packed_dims[0];
sig_tmp_strides[0] = filter_tmp_strides[0] = 1;
for (dim_t k = 1; k < 4; k++) {
if (k < baseDim) {
sig_tmp_dims[k] = packed_dims[k];
filter_tmp_dims[k] = packed_dims[k];
}
else {
sig_tmp_dims[k] = sd[k];
filter_tmp_dims[k] = fd[k];
}
sig_tmp_strides[k] = sig_tmp_strides[k - 1] * sig_tmp_dims[k - 1];
filter_tmp_strides[k] = filter_tmp_strides[k - 1] * filter_tmp_dims[k - 1];
}
// Calculate memory offsets for packed signal and filter
convT *sig_tmp_ptr = packed_ptr;
convT *filter_tmp_ptr = packed_ptr + sig_tmp_strides[3] * sig_tmp_dims[3];
// Number of packed complex elements in dimension 0
dim_t sig_half_d0 = divup(sd[0], 2);
// Pack signal in a complex matrix where first dimension is half the input
// (allows faster FFT computation) and pad array to a power of 2 with 0s
packData<convT, T>(sig_tmp_ptr, sig_tmp_dims, sig_tmp_strides, signal);
// Pad filter array with 0s
padArray<convT, T>(filter_tmp_ptr, filter_tmp_dims, filter_tmp_strides, filter);
// Compute forward FFT
if (isDouble) {
fftw_plan plan = fftw_plan_many_dft(baseDim,
fft_dims,
packed_dims[baseDim],
(fftw_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
(fftw_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
FFTW_FORWARD,
FFTW_ESTIMATE);
fftw_execute(plan);
fftw_destroy_plan(plan);
}
else {
fftwf_plan plan = fftwf_plan_many_dft(baseDim,
fft_dims,
packed_dims[baseDim],
(fftwf_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
(fftwf_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
FFTW_FORWARD,
FFTW_ESTIMATE);
fftwf_execute(plan);
fftwf_destroy_plan(plan);
}
// Multiply filter and signal FFT arrays
if (kind == ONE2MANY)
complexMultiply<convT>(filter_tmp_ptr, filter_tmp_dims, filter_tmp_strides,
sig_tmp_ptr, sig_tmp_dims, sig_tmp_strides,
filter_tmp_ptr, filter_tmp_dims, filter_tmp_strides,
kind);
else
complexMultiply<convT>(sig_tmp_ptr, sig_tmp_dims, sig_tmp_strides,
sig_tmp_ptr, sig_tmp_dims, sig_tmp_strides,
filter_tmp_ptr, filter_tmp_dims, filter_tmp_strides,
kind);
// Compute inverse FFT
if (isDouble) {
fftw_plan plan = fftw_plan_many_dft(baseDim,
fft_dims,
packed_dims[baseDim],
(fftw_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
(fftw_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
FFTW_BACKWARD,
FFTW_ESTIMATE);
fftw_execute(plan);
fftw_destroy_plan(plan);
}
else {
fftwf_plan plan = fftwf_plan_many_dft(baseDim,
fft_dims,
packed_dims[baseDim],
(fftwf_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
(fftwf_complex*)packed.get(),
NULL,
packed_strides[0],
packed_strides[baseDim] / 2,
FFTW_BACKWARD,
FFTW_ESTIMATE);
fftwf_execute(plan);
fftwf_destroy_plan(plan);
}
// Compute output dimensions
dim4 oDims(1);
if (expand) {
for(dim_t d=0; d<4; ++d) {
if (kind==ONE2ONE || kind==ONE2MANY) {
oDims[d] = sd[d]+fd[d]-1;
} else {
oDims[d] = (d<baseDim ? sd[d]+fd[d]-1 : sd[d]);
}
}
} else {
oDims = sd;
if (kind==ONE2MANY) {
for (dim_t i=baseDim; i<4; ++i)
oDims[i] = fd[i];
}
}
Array<T> out = createEmptyArray<T>(oDims);
T* out_ptr = out.get();
const af::dim4 out_dims = out.dims();
const af::dim4 out_strides = out.strides();
const af::dim4 filter_dims = filter.dims();
// Reorder the output
if (kind == ONE2MANY) {
reorderOutput<T, convT, roundOut>
(out_ptr, out_dims, out_strides,
filter_tmp_ptr, filter_tmp_dims, filter_tmp_strides,
filter_dims, sig_half_d0, baseDim, fftScale, expand);
}
else {
reorderOutput<T, convT, roundOut>
(out_ptr, out_dims, out_strides,
sig_tmp_ptr, sig_tmp_dims, sig_tmp_strides,
filter_dims, sig_half_d0, baseDim, fftScale, expand);
}
return out;
}
void fft(int N, double *in, int stride) {
fftw_plan p;
p = fftw_plan_many_dft(1,&N, 1, (fftw_complex *)in, NULL, stride, 0, (fftw_complex *)in, NULL, stride, 0, FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(p);
fftw_destroy_plan(p);
}
void init_gfft() {
// This will init the plans needed by gfft
// Transform of NY/NPROC arrays of (logical) size [NX, NZ]
// The physical size is [NX, NZ+2]
// We use in-place transforms
int i;
double complex *wi1, *whi1;
double *wir1, *whir1;
const int n_size2D[2] = {NX, NZ};
const int n_size1D[1] = {NY_COMPLEX};
wi1 = (double complex *) fftw_malloc( sizeof(double complex) * NTOTAL_COMPLEX);
if (wi1 == NULL) ERROR_HANDLER( ERROR_CRITICAL, "No memory for wi1 allocation");
whi1 = (double complex *) fftw_malloc( sizeof(double complex) * NX*(NY/2+1));
if (whi1 == NULL) ERROR_HANDLER( ERROR_CRITICAL, "No memory for wi1 allocation");
wir1 = (double *) wi1;
whir1= (double *) whi1;
for(i = 0 ; i < NTOTAL_COMPLEX; i++) {
wi1[i]=1.0;
}
#ifdef _OPENMP
fftw_plan_with_nthreads( nthreads );
#endif
r2c_2d = fftw_plan_many_dft_r2c(2, n_size2D, NY / NPROC, wir1, NULL, 1, (NZ+2)*NX,
wi1, NULL, 1, (NZ+2)*NX/2, FFT_PLANNING);
if (r2c_2d == NULL) ERROR_HANDLER( ERROR_CRITICAL, "FFTW R2C_2D plan creation failed");
c2r_2d = fftw_plan_many_dft_c2r(2, n_size2D, NY / NPROC, wi1, NULL, 1, (NZ+2)*NX/2,
wir1, NULL, 1, (NZ+2)*NX , FFT_PLANNING);
if (c2r_2d == NULL) ERROR_HANDLER( ERROR_CRITICAL, "FFTW C2R_2D plan creation failed");
r2cfft_2Dslice = fftw_plan_dft_r2c_2d(NX,NY,wrh3,wh3,FFT_PLANNING); //,whir1,whi1
if (r2cfft_2Dslice == NULL) ERROR_HANDLER( ERROR_CRITICAL, "FFTW r2c slice plan creation failed");
// 1D transforms: This are actually c2c transforms, but are used for global 3D transforms.
// We will transform forward and backward an array of logical size [NX/NPROC, NY, (NZ+2)/2] along the 2nd dimension
// We will do NZ_COMPLEX transforms along Y. Will need a loop on NX/NPROC
// We use &w1[NZ_COMPLEX] so that alignement check is done properly (see SIMD in fftw Documentation)
#ifdef _OPENMP
fftw_plan_with_nthreads( 1 );
#endif
r2c_1d = fftw_plan_many_dft(1, n_size1D, NZ_COMPLEX, &wi1[NZ_COMPLEX], NULL, NZ_COMPLEX, 1,
&wi1[NZ_COMPLEX], NULL, NZ_COMPLEX, 1, FFTW_FORWARD, FFT_PLANNING);
if (r2c_1d == NULL) ERROR_HANDLER( ERROR_CRITICAL, "FFTW R2C_1D plan creation failed");
c2r_1d = fftw_plan_many_dft(1, n_size1D, NZ_COMPLEX, &wi1[NZ_COMPLEX], NULL, NZ_COMPLEX, 1,
&wi1[NZ_COMPLEX], NULL, NZ_COMPLEX, 1, FFTW_BACKWARD, FFT_PLANNING);
if (c2r_1d == NULL) ERROR_HANDLER( ERROR_CRITICAL, "FFTW C2R_1D plan creation failed");
// init transpose routines
init_transpose();
// Let's see which method is faster (with our without threads)
fftw_free(wi1); fftw_free(whi1);
fft_timer=0.0;
return;
}
//squares the symbol by autoconvolving the fourier coefficients
//size of input FQ: nx*nz*k, size of outpout FQ2:nx*nz*(2k-1)
void Qsquare(complex const *FQ,complex *FQ2,int nx,int nz,int k){
complex *FQ1;
FQ1 = (complex *) calloc((2*k-1)*nx*nz,sizeof(complex));
int m,n,l;
// printf(" k = %d \n",k);
for (l=0;l<k;l++)
{//printf("l= %d\n",l);
for (m=0;m<nx;m++)
{
for(n=0;n<nz;n++)
{//printf("%d ",l+(k)*(m*nz+n));
FQ1[l+(2*k-1)*(m*nz+n)] = FQ[l+k*(m*nz+n)]; //printf("set \n");
}
}
}
// printf("padded array set in Qsquare \n");
int rank =1;
int *dims;
dims = (int*) malloc(rank*sizeof(int));
dims[0]=(2*k-1); //dims[1]=nz; dims[2]=2*k-1;
int howmany = nx*nz;
//inembed=onembed=dims
int istride = 1;
int ostride = 1;
int idist = (2*k-1);
int odist = idist;
// printf("variables set ...\n");
/*
clock_t start,end;
double elapsed;
start=clock();
*/
fftw_plan plan_forward,plan_backward;
plan_forward = fftw_plan_many_dft(rank,dims,howmany,FQ1,NULL,istride,idist,FQ1,NULL,ostride,odist,FFTW_FORWARD,FFTW_ESTIMATE);
plan_backward = fftw_plan_many_dft(rank,dims,howmany,FQ1,NULL,istride,idist,FQ2,NULL,ostride,odist,FFTW_BACKWARD,FFTW_ESTIMATE);
fftw_execute(plan_forward);
//printf("plan executed \n");
for (l=0;l<2*k-1;l++)
{//printf("l= %d\n",l);
for (m=0;m<nx;m++)
{
for(n=0;n<nz;n++)
{//printf("%d ",l+(k)*(m*nz+n));
FQ1[l+(2*k-1)*(m*nz+n)] = FQ1[l+(2*k-1)*(m*nz+n)]*FQ1[l+(2*k-1)*(m*nz+n)]/(2*k-1); //printf("set \n");
}
}
}
/*
end=clock();
elapsed = ((double)(end-start))/CLOCKS_PER_SEC;
printf(" time taken to set up plans in Qsquare: %lf \n",elapsed);
*/
fftw_execute(plan_backward);
//cleaning
fftw_destroy_plan(plan_forward);
fftw_destroy_plan(plan_backward);
free(FQ1);
}
void dgt_fac(ltfat_complex *f, ltfat_complex *gf, const int L, const int W,
const int R, const int a, const int M, ltfat_complex *cout, int dotime)
{
/* --------- initial declarations -------------- */
int b, N, c, d, p, q, h_a, h_m;
double *gbase, *fbase, *cbase;
int l, k, r, s, u, w, rw, nm, mm, km;
int ld2a, ld1b, ld3b;
int ld4c, ld5c;
int rem;
fftw_plan p_before, p_after, p_veryend;
double *ff, *cf, *ffp, *sbuf, *fp, *cfp;
double scalconst;
double st0, st1, st6, st7;
/* ----------- calculation of parameters and plans -------- */
if (dotime)
{
st0=ltfat_time();
}
b=L/M;
N=L/a;
c=gcd(a, M,&h_a, &h_m);
p=a/c;
q=M/c;
d=b/p;
h_a=-h_a;
/* Scaling constant needed because of FFTWs normalization. */
scalconst=1.0/((double)d*sqrt((double)M));
ff = (double*)ltfat_malloc(2*d*p*q*W*sizeof(double));
cf = (double*)ltfat_malloc(2*d*q*q*W*R*sizeof(double));
sbuf = (double*)ltfat_malloc(2*d*sizeof(double));
/* Create plans. In-place. */
p_before = fftw_plan_dft_1d(d, (ltfat_complex*)sbuf, (ltfat_complex*)sbuf,
FFTW_FORWARD, FFTW_MEASURE);
p_after = fftw_plan_dft_1d(d, (ltfat_complex*)sbuf, (ltfat_complex*)sbuf,
FFTW_BACKWARD, FFTW_MEASURE);
/* Create plan. In-place. */
p_veryend = fftw_plan_many_dft(1, &M, N*R*W,
cout, NULL,
1, M,
cout, NULL,
1, M,
FFTW_FORWARD, FFTW_OPTITYPE);
if (dotime)
{
st1=ltfat_time();
printf("DGT_FAC_7: Planning phase %f\n",st1-st0);
}
/* Leading dimensions of the 4dim array. */
ld2a=2*p*q*W;
/* Leading dimensions of cf */
ld1b=q*R;
ld3b=2*q*R*q*W;
/* --------- main loop begins here ------------------- */
for (r=0;r<c;r++)
{
/* ---------- compute signal factorization ----------- */
ffp=ff;
fp=(double*)f+2*r;
if (p==1)
/* Integer oversampling case */
{
for (w=0;w<W;w++)
{
for (l=0;l<q;l++)
{
for (s=0;s<d;s++)
{
rem = 2*((s*M+l*a)%L);
sbuf[2*s] = fp[rem];
sbuf[2*s+1] = fp[rem+1];
}
fftw_execute(p_before);
for (s=0;s<d;s++)
{
ffp[s*ld2a] = sbuf[2*s]*scalconst;
ffp[s*ld2a+1] = sbuf[2*s+1]*scalconst;
}
ffp+=2;
}
fp+=2*L;
}
fp-=2*L*W;
}
else
{
/* rational sampling case */
for (w=0;w<W;w++)
{
for (l=0;l<q;l++)
{
for (k=0;k<p;k++)
{
for (s=0;s<d;s++)
{
rem = 2*positiverem(k*M+s*p*M-l*h_a*a, L);
sbuf[2*s] = fp[rem];
sbuf[2*s+1] = fp[rem+1];
}
fftw_execute(p_before);
for (s=0;s<d;s++)
{
ffp[s*ld2a] = sbuf[2*s]*scalconst;
ffp[s*ld2a+1] = sbuf[2*s+1]*scalconst;
}
ffp+=2;
}
}
fp+=2*L;
}
fp-=2*L*W;
}
/* ----------- compute matrix multiplication ----------- */
/* Do the matmul */
if (p==1)
{
/* Integer oversampling case */
/* Rational oversampling case */
for (s=0;s<d;s++)
{
gbase=(double*)gf+2*(r+s*c)*q*R;
fbase=ff+2*s*q*W;
cbase=cf+2*s*q*q*W*R;
for (nm=0;nm<q*W;nm++)
{
for (mm=0;mm<q*R;mm++)
{
cbase[0]=gbase[0]*fbase[0]+gbase[1]*fbase[1];
cbase[1]=gbase[0]*fbase[1]-gbase[1]*fbase[0];
gbase+=2;
cbase+=2;
}
gbase-=2*q*R;
fbase+=2;
}
cbase-=2*q*R*q*W;
}
}
else
{
/* Rational oversampling case */
for (s=0;s<d;s++)
{
gbase=(double*)gf+2*(r+s*c)*p*q*R;
fbase=ff+2*s*p*q*W;
cbase=cf+2*s*q*q*W*R;
for (nm=0;nm<q*W;nm++)
{
for (mm=0;mm<q*R;mm++)
{
cbase[0]=0.0;
cbase[1]=0.0;
for (km=0;km<p;km++)
{
cbase[0]+=gbase[0]*fbase[0]+gbase[1]*fbase[1];
cbase[1]+=gbase[0]*fbase[1]-gbase[1]*fbase[0];
gbase+=2;
fbase+=2;
}
fbase-=2*p;
cbase+=2;
}
gbase-=2*q*R*p;
fbase+=2*p;
}
cbase-=2*q*R*q*W;
fbase-=2*p*q*W;
}
}
/* ------- compute inverse coefficient factorization ------- */
cfp=cf;
ld4c=M*N;
ld5c=M*N*R;
/* Cover both integer and rational sampling case */
for (w=0;w<W;w++)
{
/* Complete inverse fac of coefficients */
for (l=0;l<q;l++)
{
for (rw=0;rw<R;rw++)
{
for (u=0;u<q;u++)
{
for (s=0;s<d;s++)
{
sbuf[2*s] = cfp[s*ld3b];
sbuf[2*s+1] = cfp[s*ld3b+1];
}
cfp+=2;
/* Do inverse fft of length d */
fftw_execute(p_after);
for (s=0;s<d;s++)
{
rem= r+l*c+positiverem(u+s*q-l*h_a,N)*M+rw*ld4c+w*ld5c;
cout[rem][0]=sbuf[2*s];
cout[rem][1]=sbuf[2*s+1];
}
}
}
}
}
/* ----------- Main loop ends here ------------------------ */
}
if (dotime)
{
st6=ltfat_time();
printf("DGT_FAC_7: Main loop done %f\n",st6-st1);
}
/* FFT to modulate the coefficients. */
fftw_execute(p_veryend);
if (dotime)
{
st7=ltfat_time();
printf("DGT_FAC_7: Final FFT %f\n",st7-st6);
printf("DGT_FAC_7: Total time %f\n",st7-st0);
}
/* ----------- Clean up ----------------- */
fftw_destroy_plan(p_before);
fftw_destroy_plan(p_after);
fftw_destroy_plan(p_veryend);
ltfat_free(sbuf);
ltfat_free(ff);
ltfat_free(cf);
}
// This is an operator that applies (A - shift*B) on a vector using the FFT
void SPB::BandSolver_Ez::OpForw(size_t n, const complex_t &shift, const complex_t *x, complex_t *y) const{
const int Ngrid = res[0]*res[1];
complex_t *t = (complex_t*)fftw_malloc(sizeof(complex_t)*n);
// Data layout: Hx, Hy, Ez, divH
fftw_plan plan_forward = fftw_plan_many_dft(
2/*rank*/, res, 4 /*howmany*/,
(fftw_complex*)t, NULL/*inembed*/,
1/*istride*/, Ngrid/*idist*/,
(fftw_complex*)t, NULL/*onembed*/,
1/*ostride*/, Ngrid/*odist*/,
FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_plan plan_backward = fftw_plan_many_dft(
2/*rank*/, res, 4 /*howmany*/,
(fftw_complex*)t, NULL/*inembed*/,
1/*istride*/, Ngrid/*idist*/,
(fftw_complex*)t, NULL/*onembed*/,
1/*ostride*/, Ngrid/*odist*/,
FFTW_FORWARD, FFTW_ESTIMATE);
const double kshiftsign = 1.0;
RNP::TBLAS::Copy(n, x,1, t,1);
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
double phase = kshiftsign*2*M_PI*(last_k[0]*((double)i)/res[0] + last_k[1]*((double)j)/res[1]);
t[HX_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
t[HY_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
t[EZ_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
t[DIVH_OFF+IDX(i,j)] *= complex_t(cos(phase), sin(phase));
}
}
fftw_execute(plan_forward);
for(int i = 0; i < res[0]; ++i){
const int fi = (i > res[0]/2 ? i-res[0] : i);
for(int j = 0; j < res[1]; ++j){
const int fj = (j > res[1]/2 ? j-res[1] : j);
double kpG[2] = {
(L.Lk[0]*(last_k[0]+fi) + L.Lk[2]*(last_k[1]+fj)),
(L.Lk[1]*(last_k[0]+fi) + L.Lk[3]*(last_k[1]+fj))
};
kpG[0] *= 2*M_PI;
kpG[1] *= 2*M_PI;
const double klen2 = kpG[0]*kpG[0] + kpG[1]*kpG[1];
const double klen = sqrt(klen2);
if(klen < std::numeric_limits<double>::epsilon() * L.CharacteristicKLength()){ continue; }
// [ -q mu k x k 0 0 ] [ H ] [ H ]
// [ -k x -q eps 0 0 -i wp ] [ E ] = [ E ]
// [ k. 0 0 0 0 ] [dvH] = [dvH]
// [ 0 0 0 -q eta i w0 ] [ P ] [ P ]
// [ 0 i wp 0 -i w0 eta -q eta ] [ V ] [ V ]
// given
/*
// Forward and backward differences
#define FDIFF(VEC,D) ((std::exp(complex_t(0,-(VEC)[D]/res[D]))-1.) * (double)res[D])
#define BDIFF(VEC,D) ((1.-std::exp(complex_t(0,(VEC)[D]/res[D]))) * (double)res[D])
static const complex_t I(0.,1.);
y[HX_OFF + IDX(i,j)] = -I*FDIFF(kpG,1)*t[EZ_OFF + IDX(i,j)] + I*BDIFF(kpG,0)*t[DIVH_OFF+IDX(i,j)];
y[HX_OFF + IDX(i,j)] /= ((double)Ngrid);
y[HY_OFF + IDX(i,j)] = I*FDIFF(kpG,0)*t[EZ_OFF + IDX(i,j)] + I*BDIFF(kpG,1)*t[DIVH_OFF+IDX(i,j)];
y[HY_OFF + IDX(i,j)] /= ((double)Ngrid);
y[EZ_OFF + IDX(i,j)] = -I*BDIFF(kpG,1)*t[HX_OFF + IDX(i,j)] + I*BDIFF(kpG,0)*t[HY_OFF + IDX(i,j)];
y[EZ_OFF + IDX(i,j)] /= ((double)Ngrid);
y[DIVH_OFF+IDX(i,j)] = I*FDIFF(kpG,0)*t[HX_OFF + IDX(i,j)] + I*FDIFF(kpG,1)*t[HY_OFF + IDX(i,j)];
y[DIVH_OFF+IDX(i,j)] /= ((double)Ngrid);
y[HX_OFF + IDX(i,j)] -= shift*t[HX_OFF + IDX(i,j)]/((double)Ngrid);
y[HY_OFF + IDX(i,j)] -= shift*t[HY_OFF + IDX(i,j)]/((double)Ngrid);
y[EZ_OFF + IDX(i,j)] -= shift*t[EZ_OFF + IDX(i,j)]/((double)Ngrid);
*/
static const complex_t I(0.,1.);
const size_t n_res = 0;
const size_t nh = 4+2*n_res;
complex_t *A = new complex_t[nh*nh+2*nh];
complex_t *b = A+nh*nh;
complex_t *c = b+nh;
memset(A, 0, sizeof(complex_t)*nh*nh);
A[0+2*nh] = -I*FDIFF(kpG,1);
A[0+3*nh] = I*BDIFF(kpG,0);
A[1+2*nh] = I*FDIFF(kpG,0);
A[1+3*nh] = I*BDIFF(kpG,1);
A[2+0*nh] = -I*BDIFF(kpG,1);
A[2+1*nh] = I*BDIFF(kpG,0);
A[3+0*nh] = I*FDIFF(kpG,0);
A[3+1*nh] = I*FDIFF(kpG,1);
A[0+0*nh] = -shift;
A[1+1*nh] = -shift;
A[2+2*nh] = -shift;
b[0] = t[HX_OFF + IDX(i,j)];
b[1] = t[HY_OFF + IDX(i,j)];
b[2] = t[EZ_OFF + IDX(i,j)];
b[3] = t[DIVH_OFF+IDX(i,j)];
RNP::TBLAS::MultMV<'N'>(nh,nh, 1.,A,nh, b,1, 0.,c,1);
y[HX_OFF + IDX(i,j)] = c[0] / ((double)Ngrid);
y[HY_OFF + IDX(i,j)] = c[1] / ((double)Ngrid);
y[EZ_OFF + IDX(i,j)] = c[2] / ((double)Ngrid);
y[DIVH_OFF+IDX(i,j)] = c[3] / ((double)Ngrid);
delete [] A;
}
}
RNP::TBLAS::Copy(n, y,1, t,1);
fftw_execute(plan_backward);
fftw_destroy_plan(plan_forward);
fftw_destroy_plan(plan_backward);
RNP::TBLAS::Copy(n, t,1, y,1);
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
double phase = -kshiftsign*2*M_PI*(last_k[0]*((double)i)/res[0] + last_k[1]*((double)j)/res[1]);
y[HX_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[HY_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[EZ_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[DIVH_OFF+IDX(i,j)] *= complex_t(cos(phase), sin(phase));
/*
y[HX_OFF + IDX(i,j)] -= shift*x[HX_OFF + IDX(i,j)];
y[HY_OFF + IDX(i,j)] -= shift*x[HY_OFF + IDX(i,j)];
y[EZ_OFF + IDX(i,j)] -= shift*x[EZ_OFF + IDX(i,j)];*/
}
}
fftw_free(t);
}
int SPB::BandSolver_Ez::SolveK(const double *k){
SPB_VERB(1, "Solving k-point (%.14g, %.14g)\n", k[0], k[1]);
ClearSolution();
last_k[0] = k[0];
last_k[1] = k[1];
// Prepare the indexing
const size_t Ngrid = res[0] * res[1];
if(impl->structure_changed_since_last_solve){
free(impl->ind);
impl->ind = (int*)malloc(sizeof(int) * 2*Ngrid);
fftw_free(impl->eps_z_fft);
impl->eps_z_fft = (complex_t*)fftw_malloc(sizeof(complex_t)*Ngrid);
size_t next_index = 0;
for(int i = 0; i < res[0]; ++i){
const double fi = ((double)i/(double)res[0]) - 0.5;
for(int j = 0; j < res[1]; ++j){
const double fj = ((double)j/(double)res[1]) - 0.5;
impl->ind[2*IDX(i,j)+0] = 4*Ngrid+next_index;
// get material of this cell (simple pointwise check)
int tag, num_poles;
//if(2 == dim){
double p[2] = {
L.Lr[0]*fi + L.Lr[2]*fj,
L.Lr[1]*fi + L.Lr[3]*fj
};
if(!shapeset.QueryPt(p, &tag)){
tag = -1;
}
/*}else{
double p[3] = {
L.Lr[0]*fi + L.Lr[3]*fj + L.Lr[6]*fk,
L.Lr[1]*fi + L.Lr[4]*fj + L.Lr[7]*fk,
L.Lr[2]*fi + L.Lr[5]*fj + L.Lr[8]*fk
};
if(ShapeSet3_query_pt(shapeset.d3, p, NULL, &tag)){
}else{
tag = -1;
}
}*/
if(-1 == tag){
num_poles = 0;
impl->eps_z_fft[IDX(i,j)] = 1.;
}else{
num_poles = material[tag].poles.size();
impl->eps_z_fft[IDX(i,j)] = material[tag].eps_inf.value[8];
std::cout << i << "\t" << j << "\t" << impl->eps_z_fft[IDX(i,j)] << "\t" << num_poles << std::endl;
}
impl->ind[2*IDX(i,j)+1] = tag;
// update next index
next_index += 2*num_poles;
}
}
//impl->N = 4*Ngrid + 3*zero_constraint + next_index;
impl->N = 4*Ngrid + next_index;
/*
switch(pol){
case 1:
// Hx,Hy,Ez, divH
N = (3+1)*Ngrid + 3*zero_constraint + next_index;
break;
case 2:
// Hz,Ex,Ey (Hz is already div-free)
N = (3+0)*Ngrid + 3*zero_constraint + next_index;
break;
default:
// Hx,Hy,Hz,Ex,Ey,Ez, divH
N = (6+1)*Ngrid + 6*zero_constraint + next_index;
break;
}*/
fftw_plan plan_eps = fftw_plan_many_dft(
2/*rank*/, res, 1 /*howmany*/,
(fftw_complex*)impl->eps_z_fft, NULL/*inembed*/,
1/*istride*/, Ngrid/*idist*/,
(fftw_complex*)impl->eps_z_fft, NULL/*onembed*/,
1/*ostride*/, Ngrid/*odist*/,
FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_execute(plan_eps);
fftw_destroy_plan(plan_eps);
impl->structure_changed_since_last_solve = false;
}
sparse_t::entry_map_t Amap;
sparse_t::entry_map_t Bmap;
{
const double Lrl[2] = {
hypot(L.Lr[0], L.Lr[1]),
hypot(L.Lr[2], L.Lr[3])
};
const double idr[2] = {
(double)res[0] / Lrl[0],
(double)res[1] / Lrl[1]
};
const complex_t Bloch[2] = {
complex_t(cos(k[0]*2*M_PI), sin(k[0]*2*M_PI)),
complex_t(cos(k[1]*2*M_PI), sin(k[1]*2*M_PI))
};
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
size_t row, col;
complex_t coeff;
const int curmat = impl->ind[2*IDX(i,j)+1];
complex_t eps_z(1.);
if(curmat >= 0){
eps_z = material[curmat].eps_inf.value[8];
}
#define ASET(ROW,COL,COEFF) Amap[sparse_t::index_t((ROW),(COL))] = (COEFF)
#define BSET(ROW,COL,COEFF) Bmap[sparse_t::index_t((ROW),(COL))] = (COEFF)
// divH ~ dx Hx + dy Hy + dz Hz
// E ~ -i wp V
// V ~ +i wp E - i G V - i w0 P
// P ~ +i w0 V
//for(size_t idbg=0;idbg<ne+nh+1;++idbg){
//ASET(row0+idbg,row0+idbg,1); // for debugging
//}
// Hx ~ -i dy Ez
// Hy ~ +i dx Ez
// Ez ~ -i dy Hx + i dx Hy
// Hx = complex_t(0,-idr[1]) * (Ez[i,j+1,k] - Ez[i,j,k])
row = HX_OFF + IDX(i,j);
coeff = complex_t(0,-idr[1]);
col = EZ_OFF + IDX(i,j); // Ez
ASET(row,col, -coeff);
if(j+1 == res[1]){
col = EZ_OFF + IDX(i,0); // Ez
ASET(row,col, coeff/Bloch[1]);
}else{
col = EZ_OFF + IDX(i,j+1); // Ez
ASET(row,col, coeff);
}
BSET(row,row, 1);
// Hy = complex_t(0, idr[0]) * (Ez[i+1,j,k] - Ez[i,j,k])
row = HY_OFF + IDX(i,j);
coeff = complex_t(0, idr[0]);
col = EZ_OFF + IDX(i,j); // Ez
ASET(row,col, -coeff);
if(i+1 == res[0]){
col = EZ_OFF + IDX(0,j); // Ez
ASET(row,col, coeff/Bloch[0]);
}else{
col = EZ_OFF + IDX(i+1,j); // Ez
ASET(row,col, coeff);
}
BSET(row,row, 1);
// divH = idr[0] * (Hx[i+1,j,k] - Hx[i,j,k])
// + idr[1] * (Hy[i,j+1,k] - Hx[i,j,k])
row = DIVH_OFF + IDX(i,j);
coeff = complex_t(0,idr[0]);
col = HX_OFF + IDX(i,j); // Hx
ASET(row,col, -coeff);
ASET(col,row, -std::conj(coeff));
if(i+1 == res[0]){
col = HX_OFF + IDX(0,j); // Hx
ASET(row,col, coeff/Bloch[0]);
ASET(col,row, std::conj(coeff/Bloch[0]));
}else{
col = HX_OFF + IDX(i+1,j); // Hx
ASET(row,col, coeff);
ASET(col,row, std::conj(coeff));
}
coeff = complex_t(0,idr[1]);
col = HY_OFF + IDX(i,j); // Hy
ASET(row,col, -coeff);
ASET(col,row, -std::conj(coeff));
if(j+1 == res[1]){
col = HY_OFF + IDX(i,0); // Hy
ASET(row,col, coeff/Bloch[1]);
ASET(col,row, std::conj(coeff/Bloch[1]));
}else{
col = HY_OFF + IDX(i,j+1); // Hy
ASET(row,col, coeff);
ASET(col,row, std::conj(coeff));
}
BSET(row,row, 0);
// Ez = complex_t(0,-idr[1]) * (Hx[i,j,k] - Hx[i,j-1,k])
// + complex_t(0, idr[0]) * (Hy[i,j,k] - Hy[i-1,j,k])
row = EZ_OFF + IDX(i,j);
coeff = complex_t(0,-idr[1]);
col = HX_OFF + IDX(i,j); // Hx
ASET(row,col, coeff);
if(0 == j){
col = HX_OFF + IDX(i,res[1]-1); // Hx
ASET(row,col, -coeff*Bloch[1]);
}else{
col = HX_OFF + IDX(i,j-1); // Hx
ASET(row,col, -coeff);
}
coeff = complex_t(0, idr[0]);
col = HY_OFF + IDX(i,j); // Hy
ASET(row,col, coeff);
if(0 == i){
col = HY_OFF + IDX(res[0]-1,j); // Hy
ASET(row,col, -coeff*Bloch[0]);
}else{
col = HY_OFF + IDX(i-1,j); // Hy
ASET(row,col, -coeff);
}
BSET(row,row, eps_z);
if(curmat >= 0){
const int row0 = impl->ind[2*IDX(i,j)+0];
const Material &m = material[curmat];
const size_t np = m.poles.size();
for(size_t p = 0; p < np; ++p){
row = row0 + 2*p + 0; // V_p
coeff = complex_t(0, m.poles[p].omega_p) * eps_z;
col = EZ_OFF + IDX(i,j); // E
ASET(row,col, coeff);
ASET(col,row, std::conj(coeff));
if(0 != m.poles[p].Gamma){
coeff = complex_t(0,-m.poles[p].Gamma) * eps_z;
ASET(row,row, coeff);
}
BSET(row,row, 1);
coeff = complex_t(0, -m.poles[p].omega_0) * eps_z;
col = row0 + 2*p + 1; // P
ASET(row,col, coeff);
ASET(col,row, std::conj(coeff));
BSET(col,col, 1);
}
}
/*
}else if(2 == pol){
// Hz ~ +i dy Ex - i dx Ey
// Ex ~ +i dy Hz
// Ey ~ -i dx Hz
}else{
// Hx ~ +i dz Ey - i dy Ez
// Hy ~ -i dz Ex + i dx Ez
// Hz ~ +i dy Ex - i dx Ey
// Ex ~ -i dz Hy + i dy Hz
// Ey ~ +i dz Hx - i dx Hz
// Ez ~ -i dy Hx + i dx Hy
}*/
}
}
}
impl->A = new sparse_t(impl->N,impl->N, Amap);
impl->B = new sparse_t(impl->N,impl->N, Bmap);
if(0){
std::cout << "A="; RNP::Sparse::PrintSparseMatrix(*(impl->A)) << ";" << std::endl;
std::cout << "B="; RNP::Sparse::PrintSparseMatrix(*(impl->B)) << ";" << std::endl;
exit(0);
}
/*
complex_t *tmp = new complex_t[4*Ngrid];
complex_t *tmp2 = new complex_t[16*Ngrid*Ngrid];
for(size_t i = 0; i < res[0]; ++i){
for(size_t j = 0; j < res[1]; ++j){
tmp[IDX(i,j)] = 0;
}
}
for(size_t i = 0; i < res[0]; ++i){
for(size_t j = 0; j < res[1]; ++j){
tmp[IDX(i,j)] = 1;
Precond(tmp, &tmp2[0+IDX(i,j)*Ngrid]);
tmp[IDX(i,j)] = 0;
}
}
delete [] tmp2;
delete [] tmp;
*/
return solver->Solve();
/*
{
const size_t n = 4*Ngrid;
complex_t *x = (complex_t*)fftw_malloc(sizeof(complex_t)*n);
complex_t *y = (complex_t*)fftw_malloc(sizeof(complex_t)*n);
complex_t *z = (complex_t*)fftw_malloc(sizeof(complex_t)*n);
const double theta = 0.6;
memset(x, 0, sizeof(complex_t)*n);
for(int i = 0; i < n; ++i){
x[i] = frand();
}
std::cout << "x = "; RNP::IO::PrintVector(n, x, 1) << std::endl;
Aop(x, y);
Bop(x, z);
RNP::TBLAS::Axpy(n, -theta, z,1, y,1);
// At this point y = A*x-theta*B*x
std::cout << "y = "; RNP::IO::PrintVector(n, y, 1) << std::endl;
Op(n, theta, y, z);
// At this point z should be the same as x
std::cout << "z = "; RNP::IO::PrintVector(n, z, 1) << std::endl;
RNP::TBLAS::Axpy(n, -1., x,1,z,1);
std::cout << "diff = "; RNP::IO::PrintVector(n, z, 1) << std::endl;
fftw_free(z);
fftw_free(y);
fftw_free(x);
}*/
/*
size_t n_wanted = 10;
size_t ncv = 2*n_wanted+1;
SPB::complex_t *w = new SPB::complex_t[n_wanted+ncv*4*Ngrid];
SPB::complex_t *v = w+n_wanted;
int nconv = RNP::IRA::ShiftInvert(
4*Ngrid, 0.0, &op_, &bv_,
n_wanted, ncv, &RNP::IRA::LargestMagnitude,
w, v, 4*Ngrid,
NULL,
NULL,
(void*)this,
(void*)this);
for(size_t i = 0; i < n_wanted;++i){
std::cout << w[i] << std::endl;
}
*/
}
bool internal_fftw(Mda &X, integer dim, integer do_inverse_transform) {
QTime time;
time.start();
int d1=(int)dim-1;
qint64 N=X.size();
if (!N) return false;
if ((d1>=X.dimCount())||(d1<0)) {
qWarning() << "Dimension out of range";
return false;
}
fftw_complex *in;
fftw_plan p;
in = (fftw_complex *)fftw_malloc(sizeof(fftw_complex) * N);
//out = (fftw_complex *)fftw_malloc(sizeof(fftw_complex) * N);
int n[MAX_MDA_DIMS];
qint32 j,k;
n[0]=X.size(d1);
int istride=1;
int idist=X.size(d1);
int howmany=N/idist;
if (do_inverse_transform) {
p = fftw_plan_many_dft(1, n, howmany,
in, NULL,istride, idist,
in, NULL,istride, idist,
FFTW_BACKWARD, FFTW_ESTIMATE);
}
else {
p = fftw_plan_many_dft(1, n, howmany,
in, NULL,istride, idist,
in, NULL,istride, idist,
FFTW_FORWARD, FFTW_ESTIMATE);
}
long factor1=1;
long factor2=1;
for (int dimind=0; dimind<d1; dimind++) {
factor1*=X.size(dimind);
}
for (int dimind=d1; dimind<X.dimCount(); dimind++) {
factor2*=X.size(dimind);
}
qint32 ind[MAX_MDA_DIMS];
bool done;
if (X.data_real) {
real *D=X.data_real;
long ct=0;
for (long j1=0; j1<factor1; j1++) {
for (long j2=0; j2<factor2; j2++) {
in[ct][0]=D[j1+factor1*j2];
in[ct][1]=0;
ct++;
}}
}
else if (X.data_complex) {
complex_struct *D=X.data_complex;
long ct=0;
for (long j1=0; j1<factor1; j1++) {
for (long j2=0; j2<factor2; j2++) {
in[ct][0]=D[j1+factor1*j2].re;
in[ct][1]=D[j1+factor1*j2].im;
ct++;
}}
}
else {
long ct=0;
for (long j1=0; j1<factor1; j1++) {
for (long j2=0; j2<factor2; j2++) {
in[ct][0]=X[j1+factor1*j2].re();
in[ct][1]=X[j1+factor1*j2].im();
ct++;
}}
}
//printf("fftw_execute...");
fftw_execute(p);
//printf("fftw_execute finished.");
if (X.dataType()!=MDA_TYPE_COMPLEX) {
//printf("Converting to complex...");
X.convertToComplex();
//printf("Done.");
}
if (X.data_complex) {
complex_struct *D=X.data_complex;
long ct=0;
for (long j2=0; j2<factor2; j2++) {
for (long j1=0; j1<factor1; j1++) {
D[ct].re=in[j2+factor2*j1][0];
D[ct].im=in[j2+factor2*j1][1];
ct++;
}}
}
else {
long ct=0;
for (long j2=0; j2<factor2; j2++) {
for (long j1=0; j1<factor1; j1++) {
X[ct]=Complex(in[j2+factor2*j1][0],in[j2+factor2*j1][1]);
ct++;
}}
}
fftw_destroy_plan(p);
fftw_free(in);
if (do_inverse_transform) {
real factor=1.0F/X.size(d1);
if (X.data_complex) {
complex_struct *D=X.data_complex;
for (j=0; j<X.size(); j++) {
D[j].re*=factor;
D[j].im*=factor;
}
}
else {
for (qint64 j=0; j<X.size(); j++)
X[j]=X[j]*factor;
}
}
return true;
}
struct fft_plan_3d *fft_3d_create_plan(
MPI_Comm comm, int nfast, int nmid, int nslow,
int in_ilo, int in_ihi, int in_jlo, int in_jhi,
int in_klo, int in_khi,
int out_ilo, int out_ihi, int out_jlo, int out_jhi,
int out_klo, int out_khi,
int scaled, int permute, int *nbuf)
{
struct fft_plan_3d *plan;
int me,nprocs;
int i,num,flag,remapflag,fftflag;
int first_ilo,first_ihi,first_jlo,first_jhi,first_klo,first_khi;
int second_ilo,second_ihi,second_jlo,second_jhi,second_klo,second_khi;
int third_ilo,third_ihi,third_jlo,third_jhi,third_klo,third_khi;
int out_size,first_size,second_size,third_size,copy_size,scratch_size;
int np1,np2,ip1,ip2;
int list[50];
/* query MPI info */
MPI_Comm_rank(comm,&me);
MPI_Comm_size(comm,&nprocs);
/* compute division of procs in 2 dimensions not on-processor */
bifactor(nprocs,&np1,&np2);
ip1 = me % np1;
ip2 = me/np1;
/* allocate memory for plan data struct */
plan = (struct fft_plan_3d *) malloc(sizeof(struct fft_plan_3d));
if (plan == NULL) return NULL;
/* remap from initial distribution to layout needed for 1st set of 1d FFTs
not needed if all procs own entire fast axis initially
first indices = distribution after 1st set of FFTs */
if (in_ilo == 0 && in_ihi == nfast-1)
flag = 0;
else
flag = 1;
MPI_Allreduce(&flag,&remapflag,1,MPI_INT,MPI_MAX,comm);
if (remapflag == 0) {
first_ilo = in_ilo;
first_ihi = in_ihi;
first_jlo = in_jlo;
first_jhi = in_jhi;
first_klo = in_klo;
first_khi = in_khi;
plan->pre_plan = NULL;
}
else {
first_ilo = 0;
first_ihi = nfast - 1;
first_jlo = ip1*nmid/np1;
first_jhi = (ip1+1)*nmid/np1 - 1;
first_klo = ip2*nslow/np2;
first_khi = (ip2+1)*nslow/np2 - 1;
plan->pre_plan =
remap_3d_create_plan(comm,in_ilo,in_ihi,in_jlo,in_jhi,in_klo,in_khi,
first_ilo,first_ihi,first_jlo,first_jhi,
first_klo,first_khi,
FFT_PRECISION,0,0,2);
if (plan->pre_plan == NULL) return NULL;
}
/* 1d FFTs along fast axis */
plan->length1 = nfast;
plan->total1 = nfast * (first_jhi-first_jlo+1) * (first_khi-first_klo+1);
/* remap from 1st to 2nd FFT
choose which axis is split over np1 vs np2 to minimize communication
second indices = distribution after 2nd set of FFTs */
second_ilo = ip1*nfast/np1;
second_ihi = (ip1+1)*nfast/np1 - 1;
second_jlo = 0;
second_jhi = nmid - 1;
second_klo = ip2*nslow/np2;
second_khi = (ip2+1)*nslow/np2 - 1;
plan->mid1_plan =
remap_3d_create_plan(comm,
first_ilo,first_ihi,first_jlo,first_jhi,
first_klo,first_khi,
second_ilo,second_ihi,second_jlo,second_jhi,
second_klo,second_khi,
FFT_PRECISION,1,0,2);
if (plan->mid1_plan == NULL) return NULL;
/* 1d FFTs along mid axis */
plan->length2 = nmid;
plan->total2 = (second_ihi-second_ilo+1) * nmid * (second_khi-second_klo+1);
/* remap from 2nd to 3rd FFT
if final distribution is permute=2 with all procs owning entire slow axis
then this remapping goes directly to final distribution
third indices = distribution after 3rd set of FFTs */
if (permute == 2 && out_klo == 0 && out_khi == nslow-1)
flag = 0;
else
flag = 1;
MPI_Allreduce(&flag,&remapflag,1,MPI_INT,MPI_MAX,comm);
if (remapflag == 0) {
third_ilo = out_ilo;
third_ihi = out_ihi;
third_jlo = out_jlo;
third_jhi = out_jhi;
third_klo = out_klo;
third_khi = out_khi;
}
else {
third_ilo = ip1*nfast/np1;
third_ihi = (ip1+1)*nfast/np1 - 1;
third_jlo = ip2*nmid/np2;
third_jhi = (ip2+1)*nmid/np2 - 1;
third_klo = 0;
third_khi = nslow - 1;
}
plan->mid2_plan =
remap_3d_create_plan(comm,
second_jlo,second_jhi,second_klo,second_khi,
second_ilo,second_ihi,
third_jlo,third_jhi,third_klo,third_khi,
third_ilo,third_ihi,
FFT_PRECISION,1,0,2);
if (plan->mid2_plan == NULL) return NULL;
/* 1d FFTs along slow axis */
plan->length3 = nslow;
plan->total3 = (third_ihi-third_ilo+1) * (third_jhi-third_jlo+1) * nslow;
/* remap from 3rd FFT to final distribution
not needed if permute = 2 and third indices = out indices on all procs */
if (permute == 2 &&
out_ilo == third_ilo && out_ihi == third_ihi &&
out_jlo == third_jlo && out_jhi == third_jhi &&
out_klo == third_klo && out_khi == third_khi)
flag = 0;
else
flag = 1;
MPI_Allreduce(&flag,&remapflag,1,MPI_INT,MPI_MAX,comm);
if (remapflag == 0)
plan->post_plan = NULL;
else {
plan->post_plan =
remap_3d_create_plan(comm,
third_klo,third_khi,third_ilo,third_ihi,
third_jlo,third_jhi,
out_klo,out_khi,out_ilo,out_ihi,
out_jlo,out_jhi,
FFT_PRECISION,(permute+1)%3,0,2);
if (plan->post_plan == NULL) return NULL;
}
/* configure plan memory pointers and allocate work space
out_size = amount of memory given to FFT by user
first/second/third_size = amount of memory needed after pre,mid1,mid2 remaps
copy_size = amount needed internally for extra copy of data
scratch_size = amount needed internally for remap scratch space
for each remap:
use out space for result if big enough, else require copy buffer
accumulate largest required remap scratch space */
out_size = (out_ihi-out_ilo+1) * (out_jhi-out_jlo+1) * (out_khi-out_klo+1);
first_size = (first_ihi-first_ilo+1) * (first_jhi-first_jlo+1) *
(first_khi-first_klo+1);
second_size = (second_ihi-second_ilo+1) * (second_jhi-second_jlo+1) *
(second_khi-second_klo+1);
third_size = (third_ihi-third_ilo+1) * (third_jhi-third_jlo+1) *
(third_khi-third_klo+1);
copy_size = 0;
scratch_size = 0;
if (plan->pre_plan) {
if (first_size <= out_size)
plan->pre_target = 0;
else {
plan->pre_target = 1;
copy_size = MAX(copy_size,first_size);
}
scratch_size = MAX(scratch_size,first_size);
}
if (plan->mid1_plan) {
if (second_size <= out_size)
plan->mid1_target = 0;
else {
plan->mid1_target = 1;
copy_size = MAX(copy_size,second_size);
}
scratch_size = MAX(scratch_size,second_size);
}
if (plan->mid2_plan) {
if (third_size <= out_size)
plan->mid2_target = 0;
else {
plan->mid2_target = 1;
copy_size = MAX(copy_size,third_size);
}
scratch_size = MAX(scratch_size,third_size);
}
if (plan->post_plan)
scratch_size = MAX(scratch_size,out_size);
*nbuf = copy_size + scratch_size;
if (copy_size) {
plan->copy = (FFT_DATA *) malloc(copy_size*sizeof(FFT_DATA));
if (plan->copy == NULL) return NULL;
}
else plan->copy = NULL;
if (scratch_size) {
plan->scratch = (FFT_DATA *) malloc(scratch_size*sizeof(FFT_DATA));
if (plan->scratch == NULL) return NULL;
}
else plan->scratch = NULL;
/* system specific pre-computation of 1d FFT coeffs
and scaling normalization */
plan->plan_fast_forward =
fftw_plan_many_dft(1,&(plan->length1),plan->total1/plan->length1,
plan->scratch,NULL,1,plan->length1,plan->scratch,
NULL,1,plan->length1,FFTW_FORWARD,FFTW_ESTIMATE);
plan->plan_fast_backward =
fftw_plan_many_dft(1,&(plan->length1),plan->total1/plan->length1,
plan->scratch,NULL,1,plan->length1,plan->scratch,
NULL,1,plan->length1,FFTW_BACKWARD,FFTW_ESTIMATE);
if (plan->length2 == plan->length1) {
plan->plan_mid_forward = plan->plan_fast_forward;
plan->plan_mid_backward = plan->plan_fast_backward;
}
else {
plan->plan_mid_forward =
fftw_plan_many_dft(1,&(plan->length2),plan->total2/plan->length2,
plan->scratch,NULL,1,plan->length2,plan->scratch,
NULL,1,plan->length2,FFTW_FORWARD,FFTW_ESTIMATE);
plan->plan_mid_backward =
fftw_plan_many_dft(1,&(plan->length2),plan->total2/plan->length2,
plan->scratch,NULL,1,plan->length2,plan->scratch,
NULL,1,plan->length2,FFTW_BACKWARD,FFTW_ESTIMATE);
}
if (plan->length3 == plan->length1) {
plan->plan_slow_forward = plan->plan_fast_forward;
plan->plan_slow_backward = plan->plan_fast_backward;
}
else if (plan->length3 == plan->length2) {
plan->plan_slow_forward = plan->plan_mid_forward;
plan->plan_slow_backward = plan->plan_mid_backward;
}
else {
plan->plan_slow_forward =
fftw_plan_many_dft(1,&(plan->length3),plan->total3/plan->length3,
plan->scratch,NULL,1,plan->length3,plan->scratch,
NULL,1,plan->length3,FFTW_FORWARD,FFTW_ESTIMATE);
plan->plan_slow_backward =
fftw_plan_many_dft(1,&(plan->length3),plan->total3/plan->length3,
plan->scratch,NULL,1,plan->length3,plan->scratch,
NULL,1,plan->length3,FFTW_BACKWARD,FFTW_ESTIMATE);
}
if (scaled == 0)
plan->scaled = 0;
else {
plan->scaled = 1;
plan->norm = 1.0/(nfast*nmid*nslow);
plan->normnum = (out_ihi-out_ilo+1) * (out_jhi-out_jlo+1) *
(out_khi-out_klo+1);
}
return plan;
}
bool do_fft_1d_r2c(int M, int N, float* out, float* in)
{
/*
if (num_threads>1) {
fftw_init_threads();
fftw_plan_with_nthreads(num_threads);
}
*/
int MN = M * N;
fftw_complex* in2 = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * MN);
fftw_complex* out2 = (fftw_complex*)fftw_malloc(sizeof(fftw_complex) * MN);
for (int ii = 0; ii < MN; ii++) {
//in2[ii][0]=in[ii*2];
//in2[ii][1]=in[ii*2+1];
in2[ii][0] = in[ii];
in2[ii][1] = 0;
}
/*
* From FFTW docs:
* howmany is the number of transforms to compute.
* The resulting plan computes howmany transforms,
* where the input of the k-th transform is at
* location in+k*idist (in C pointer arithmetic),
* and its output is at location out+k*odist.
* Plans obtained in this way can often be faster
* than calling FFTW multiple times for the individual
* transforms. The basic fftw_plan_dft interface corresponds
* to howmany=1 (in which case the dist parameters are ignored).
*
* Each of the howmany transforms has rank rank
* and size n, as in the basic interface.
* In addition, the advanced interface allows the
* input and output arrays of each transform to be
* row-major subarrays of larger rank-rank arrays,
* described by inembed and onembed parameters,
* respectively. {i,o}nembed must be arrays of length
* rank, and n should be elementwise less than or equal
* to {i,o}nembed. Passing NULL for an nembed parameter
* is equivalent to passing n (i.e. same physical and
* logical dimensions, as in the basic interface.)
*
* The stride parameters indicate that the j-th element
* of the input or output arrays is located at j*istride
* or j*ostride, respectively. (For a multi-dimensional array,
* j is the ordinary row-major index.) When combined with
* the k-th transform in a howmany loop, from above, this
* means that the (j,k)-th element is at j*stride+k*dist.
* (The basic fftw_plan_dft interface corresponds to a stride
* of 1.)
*/
fftw_plan p;
int rank = 1;
int n[] = { N };
int howmany = M;
int* inembed = n;
int istride = M;
int idist = 1;
int* onembed = n;
int ostride = M;
int odist = 1;
int sign = FFTW_FORWARD;
unsigned flags = FFTW_ESTIMATE;
#pragma omp critical
p = fftw_plan_many_dft(rank, n, howmany, in2, inembed, istride, idist, out2, onembed, ostride, odist, sign, flags);
//p=fftw_plan_dft_1d(N,in2,out2,FFTW_FORWARD,FFTW_ESTIMATE);
fftw_execute(p);
for (int ii = 0; ii < MN; ii++) {
out[ii * 2] = out2[ii][0];
out[ii * 2 + 1] = out2[ii][1];
}
fftw_free(in2);
fftw_free(out2);
/*
if (num_threads>1) {
fftw_cleanup_threads();
}
*/
#pragma omp critical
fftw_destroy_plan(p);
return true;
}
void SPB::BandSolver_Ez::ShiftInv(const complex_t &shift, const complex_t *x, complex_t *y) const{
const int Ngrid = res[0]*res[1];
size_t n = 4*Ngrid;
RNP::TBLAS::Copy(n, x,1, y,1);
// Invert V and P fields
// For zero shift, the main E/H field block matrix inverse is unchanged
// v = inv(D) h
// u = inv(C - W^H inv(D) W) (g - W^H v)
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
const int tag = impl->ind[2*IDX(i,j)+1];
if(tag < 0){ continue; }
const int row0 = impl->ind[2*IDX(i,j)+0];
const Material &mat = material[tag];
const int np = mat.poles.size();
for(int p = 0; p < np; ++p){
const LorentzPole &pole = mat.poles[p];
const complex_t iwp = complex_t(0,pole.omega_p) * mat.eps_inf.value[8];
const complex_t i_w0 = complex_t(0,1./pole.omega_0) / mat.eps_inf.value[8];
const complex_t iG_w0w0 = i_w0 * pole.Gamma / pole.omega_0;
y[row0 + 2*p + 0] = -i_w0 * x[row0 + 2*p + 1];
y[row0 + 2*p + 1] = i_w0 * x[row0 + 2*p + 0] + iG_w0w0 * x[row0 + 2*p + 1];
y[EZ_OFF + IDX(i,j)] += iwp * y[row0 + 2*p + 0];
}
}
}
// Data layout: divH, Ez, Hx, Hy
fftw_plan plan_forward = fftw_plan_many_dft(
2/*rank*/, res, 4 /*howmany*/,
(fftw_complex*)y, NULL/*inembed*/,
1/*istride*/, Ngrid/*idist*/,
(fftw_complex*)y, NULL/*onembed*/,
1/*ostride*/, Ngrid/*odist*/,
FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_plan plan_backward = fftw_plan_many_dft(
2/*rank*/, res, 4 /*howmany*/,
(fftw_complex*)y, NULL/*inembed*/,
1/*istride*/, Ngrid/*idist*/,
(fftw_complex*)y, NULL/*onembed*/,
1/*ostride*/, Ngrid/*odist*/,
FFTW_FORWARD, FFTW_ESTIMATE);
const double kshiftsign = 1.0;
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
double phase = kshiftsign*2*M_PI*(last_k[0]*(double)i/res[0] + last_k[1]*(double)j/res[1]);
y[HX_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[HY_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[EZ_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[DIVH_OFF+IDX(i,j)] *= complex_t(cos(phase), sin(phase));
}
}
fftw_execute(plan_forward);
complex_t A[4*4], b[4];
size_t ipiv[4];
for(int i = 0; i < res[0]; ++i){
const int fi = (i > res[0]/2 ? i-res[0] : i);
for(int j = 0; j < res[1]; ++j){
const int fj = (j > res[1]/2 ? j-res[1] : j);
double kpG[2] = {
(L.Lk[0]*(last_k[0]+fi) + L.Lk[2]*(last_k[1]+fj)),
(L.Lk[1]*(last_k[0]+fi) + L.Lk[3]*(last_k[1]+fj))
};
kpG[0] *= 2*M_PI;
kpG[1] *= 2*M_PI;
const double klen2 = kpG[0]*kpG[0] + kpG[1]*kpG[1];
const double klen = sqrt(klen2);
// At the Gamma point, project out the constant basis vector
if(klen < std::numeric_limits<double>::epsilon() * L.CharacteristicKLength()){
y[DIVH_OFF+IDX(i,j)] = 0;
y[EZ_OFF + IDX(i,j)] = 0;
y[HX_OFF + IDX(i,j)] = 0;
y[HY_OFF + IDX(i,j)] = 0;
continue;
}
// [ 0 0 k. 0 0 ] [dvH] = [dvH]
// [ 0 -q eps -k x 0 -i wp ] [ E ] = [ E ]
// [ k k x -q mu 0 0 ] [ H ] [ H ]
// [ 0 0 0 -q eta i w0 ] [ P ] [ P ]
// [ 0 i wp 0 -i w0 eta -q eta ] [ V ] [ V ]
// given
memset(A, 0, sizeof(complex_t)*4*4);
// Forward and backward differences
#define FDIFF(VEC,D) ((std::exp(complex_t(0,-(VEC)[D]/res[D]))-1.) * (double)res[D])
#define BDIFF(VEC,D) ((1.-std::exp(complex_t(0,(VEC)[D]/res[D]))) * (double)res[D])
static const complex_t I(0.,1.);
A[2+1*4] = -I*FDIFF(kpG,1);
A[2+0*4] = I*BDIFF(kpG,0);
A[3+1*4] = I*FDIFF(kpG,0);
A[3+0*4] = I*BDIFF(kpG,1);
A[1+2*4] = -I*BDIFF(kpG,1);
A[1+3*4] = I*BDIFF(kpG,0);
A[0+2*4] = I*FDIFF(kpG,0);
A[0+3*4] = I*FDIFF(kpG,1);
b[0] = y[DIVH_OFF+IDX(i,j)];
b[1] = y[EZ_OFF + IDX(i,j)];
b[2] = y[HX_OFF + IDX(i,j)];
b[3] = y[HY_OFF + IDX(i,j)];
RNP::LinearSolve<'N'>(4,1, A,4, b,4);
y[DIVH_OFF+IDX(i,j)] = b[0] / ((double)Ngrid);
y[EZ_OFF + IDX(i,j)] = b[1] / ((double)Ngrid);
y[HX_OFF + IDX(i,j)] = b[2] / ((double)Ngrid);
y[HY_OFF + IDX(i,j)] = b[3] / ((double)Ngrid);
}
}
fftw_execute(plan_backward);
fftw_destroy_plan(plan_forward);
fftw_destroy_plan(plan_backward);
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
double phase = -kshiftsign*2*M_PI*(last_k[0]*(double)i/res[0] + last_k[1]*(double)j/res[1]);
y[DIVH_OFF+IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[EZ_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[HX_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
y[HY_OFF + IDX(i,j)] *= complex_t(cos(phase), sin(phase));
}
}
// v += inv(D) W u
for(int i = 0; i < res[0]; ++i){
for(int j = 0; j < res[1]; ++j){
const int tag = impl->ind[2*IDX(i,j)+1];
if(tag < 0){ continue; }
const int row0 = impl->ind[2*IDX(i,j)+0];
const Material &mat = material[tag];
const int np = mat.poles.size();
for(int p = 0; p < np; ++p){
const LorentzPole &pole = mat.poles[p];
y[row0 + 2*p + 0] -= (pole.omega_p/pole.omega_0) * y[EZ_OFF + IDX(i,j)];
}
}
}
}
/* \brief Create FFT Plan
*
*/
void CFFTScalar::CreatePlan(int nSign, bool* bDimTrans)
{
//If plan already exists, destroy it for the new one
if(_bPlanSet)
fftw_destroy_plan(_plan);
//Set default values for rank and how many
_nRank=0;
for (int i=0;i<3;i++) _nN[i]=1;
_nHowMany=1;
_nInembed=NULL;
_nOnembed=NULL;
_nIstride=1;
_nIdist=1;
_nOstride=1;
_nOdist=1;
//determine how many ffts to perform and size of ffts
_nHowMany=_myGrid.GetTotal();
int myN{0};
for(int i=_myGrid.GetDim()-1;i>=0;i--)
{
if(bDimTrans[i])
{
_nHowMany/=_myGrid.GetSize(i);
_nN[myN]=_myGrid.GetSize(i);
myN++;
_nIdist*=_myGrid.GetSize(i);
_nRank++;
}
/*else
{
_nIstride*=_myGrid.GetSize(i);
}*/
}
_nOdist=_nIdist;
_nOstride=_nIstride;
//from manual
_nInembed=_nN;
_nOnembed=_nN;
/*
std::cout<<"_nRank " << _nRank<< "\n";
std::cout<<"_nN " << _nN[0]<< "\n";
std::cout<<"_nN " << _nN[1]<< "\n";
std::cout<<"_nN " << _nN[2]<< "\n";
std::cout<<"_nHowMany " << _nHowMany<< "\n";
std::cout<<"_nIstride " << _nIstride<< "\n";
std::cout<<"_nIdist " << _nIdist<< "\n";
*/
//setup the plan
_plan=fftw_plan_many_dft(_nRank,
_nN,
_nHowMany,
_dVal,
_nInembed,
_nIstride,
_nIdist,
_dVal,
_nOnembed,
_nOstride,
_nOdist,
nSign,
FFTW_ESTIMATE);
_bPlanSet=true;
}