/**
* Distribute the tunecache from node 0 to all other nodes.
*/
static void broadcastTuneCache()
{
#ifdef MULTI_GPU
std::stringstream serialized;
size_t size;
if (comm_rank() == 0) {
serializeTuneCache(serialized);
size = serialized.str().length();
}
comm_broadcast(&size, sizeof(size_t));
if (size > 0) {
if (comm_rank() == 0) {
comm_broadcast(const_cast<char *>(serialized.str().c_str()), size);
} else {
char *serstr = new char[size+1];
comm_broadcast(serstr, size);
serstr[size] ='\0'; // null-terminate
serialized.str(serstr);
deserializeTuneCache(serialized);
delete[] serstr;
}
}
#endif
}
void comm_init(int ndim, const int *dims, QudaCommsMap rank_from_coords, void *map_data)
{
if ( QMP_is_initialized() != QMP_TRUE ) {
errorQuda("QMP has not been initialized");
}
int grid_size = 1;
for (int i = 0; i < ndim; i++) {
grid_size *= dims[i];
}
if (grid_size != QMP_get_number_of_nodes()) {
errorQuda("Communication grid size declared via initCommsGridQuda() does not match"
" total number of QMP nodes (%d != %d)", grid_size, QMP_get_number_of_nodes());
}
Topology *topo = comm_create_topology(ndim, dims, rank_from_coords, map_data);
comm_set_default_topology(topo);
// determine which GPU this process will use (FIXME: adopt the scheme in comm_mpi.cpp)
int device_count;
cudaGetDeviceCount(&device_count);
if (device_count == 0) {
errorQuda("No CUDA devices found");
}
gpuid = (comm_rank() % device_count);
}
/*
* Read tunecache from disk.
*/
void loadTuneCache(QudaVerbosity verbosity)
{
char *path;
struct stat pstat;
std::string cache_path, line, token;
std::ifstream cache_file;
std::stringstream ls;
path = getenv("QUDA_RESOURCE_PATH");
if (!path) {
warningQuda("Environment variable QUDA_RESOURCE_PATH is not set.");
warningQuda("Caching of tuned parameters will be disabled.");
return;
} else if (stat(path, &pstat) || !S_ISDIR(pstat.st_mode)) {
warningQuda("The path \"%s\" specified by QUDA_RESOURCE_PATH does not exist or is not a directory.", path);
warningQuda("Caching of tuned parameters will be disabled.");
return;
} else {
resource_path = path;
}
#ifdef MULTI_GPU
if (comm_rank() == 0) {
#endif
cache_path = resource_path;
cache_path += "/tunecache.tsv";
cache_file.open(cache_path.c_str());
if (cache_file) {
if (!cache_file.good()) errorQuda("Bad format in %s", cache_path.c_str());
getline(cache_file, line);
ls.str(line);
ls >> token;
if (token.compare("tunecache")) errorQuda("Bad format in %s", cache_path.c_str());
ls >> token;
if (token.compare(quda_version)) errorQuda("Cache file %s does not match current QUDA version", cache_path.c_str());
ls >> token;
if (token.compare(quda_hash)) warningQuda("Cache file %s does not match current QUDA build", cache_path.c_str());
if (!cache_file.good()) errorQuda("Bad format in %s", cache_path.c_str());
getline(cache_file, line); // eat the blank line
if (!cache_file.good()) errorQuda("Bad format in %s", cache_path.c_str());
getline(cache_file, line); // eat the description line
deserializeTuneCache(cache_file);
cache_file.close();
initial_cache_size = tunecache.size();
if (verbosity >= QUDA_SUMMARIZE) {
printfQuda("Loaded %d sets of cached parameters from %s\n", static_cast<int>(initial_cache_size), cache_path.c_str());
}
} else {
/**
* Declare a message handle for sending to a node displaced in (x,y,z,t) according to "displacement"
*/
MsgHandle *comm_declare_send_displaced(void *buffer, const int displacement[], size_t nbytes)
{
Topology *topo = comm_default_topology();
int rank = comm_rank_displaced(topo, displacement);
int tag = comm_rank();
MsgHandle *mh = (MsgHandle *)safe_malloc(sizeof(MsgHandle));
MPI_CHECK( MPI_Send_init(buffer, nbytes, MPI_BYTE, rank, tag, MPI_COMM_WORLD, &(mh->request)) );
return mh;
}
static void adapt_summary(struct mesh* m)
{
unsigned long total_elems = comm_add_ulong(mesh_count(m, mesh_dim(m)));
double minqual = comm_min_double(mesh_min_quality(m));
unsigned nedges = mesh_count(m, 1);
double* edge_sizes = mesh_measure_edges_for_adapt(m);
double min = comm_min_double(doubles_min(edge_sizes, nedges));
double max = comm_max_double(doubles_max(edge_sizes, nedges));
loop_free(edge_sizes);
if (comm_rank() == 0)
printf("%10lu elements, min quality %.0f%%, metric range %.2f - %.2f\n",
total_elems, minqual * 100.0, min, max);
}
void recursive_inertial_bisection(unsigned* n, point** o, rcopy** idx)
{
int osize;
int orank;
int size;
mpi* oldcomm;
osize = comm_size();
orank = comm_rank();
for (size = osize; size != 1; size /= 2) {
ASSERT(size % 2 == 0);
oldcomm = enter_groups(orank / size, orank % size);
inertial_bisection(n, o, idx);
exit_groups(oldcomm);
}
}
static void prepare_rib_input(mesh* m, unsigned* n, point** o, rcopy** idx)
{
ment e;
unsigned i;
*n = ment_count(m, mesh_elem(m));
*o = my_malloc(sizeof(point) * (*n));
*idx = my_malloc(sizeof(rcopy) * (*n));
i = 0;
for (e = ment_f(m, mesh_elem(m)); ment_ok(e); e = ment_n(m, e)) {
(*o)[i] = ment_centroid(m, e);
(*idx)[i].rank = comm_rank();
(*idx)[i].ri = e.i;
++i;
}
ASSERT(i == *n);
}
/**
* Declare a message handle for sending to a node displaced in (x,y,z,t) according to "displacement"
*/
MsgHandle *comm_declare_strided_send_displaced(void *buffer, const int displacement[],
size_t blksize, int nblocks, size_t stride)
{
Topology *topo = comm_default_topology();
int rank = comm_rank_displaced(topo, displacement);
int tag = comm_rank();
MsgHandle *mh = (MsgHandle *)safe_malloc(sizeof(MsgHandle));
// create a new strided MPI type
MPI_CHECK( MPI_Type_vector(nblocks, blksize, stride, MPI_BYTE, &(mh->datatype)) );
MPI_CHECK( MPI_Type_commit(&(mh->datatype)) );
MPI_CHECK( MPI_Send_init(buffer, 1, mh->datatype, rank, tag, MPI_COMM_WORLD, &(mh->request)) );
return mh;
}
Topology *comm_create_topology(int ndim, const int *dims, QudaCommsMap rank_from_coords, void *map_data)
{
if (ndim > QUDA_MAX_DIM) {
errorQuda("ndim exceeds QUDA_MAX_DIM");
}
Topology *topo = (Topology *) safe_malloc(sizeof(Topology));
topo->ndim = ndim;
int nodes = 1;
for (int i=0; i<ndim; i++) {
topo->dims[i] = dims[i];
nodes *= dims[i];
}
topo->ranks = (int *) safe_malloc(nodes*sizeof(int));
topo->coords = (int (*)[QUDA_MAX_DIM]) safe_malloc(nodes*sizeof(int[QUDA_MAX_DIM]));
int x[QUDA_MAX_DIM];
for (int i = 0; i < ndim; i++) {
x[i] = 0;
}
do {
int rank = rank_from_coords(x, map_data);
topo->ranks[index(ndim, dims, x)] = rank;
for (int i=0; i<ndim; i++) {
topo->coords[rank][i] = x[i];
}
} while (advance_coords(ndim, dims, x));
int my_rank = comm_rank();
topo->my_rank = my_rank;
for (int i = 0; i < ndim; i++) {
topo->my_coords[i] = topo->coords[my_rank][i];
}
// initialize the random number generator with a rank-dependent seed
rand_seed = 17*my_rank + 137;
return topo;
}
static void partition(unsigned* n, point** o, rcopy** rc, plane mp)
{
unsigned pn;
unsigned nn;
point* po;
point* no;
rcopy* prc;
rcopy* nrc;
unsigned lin;
unsigned long tin;
unsigned lout;
unsigned long tout;
unsigned long in_i;
unsigned long out_i;
int rank_is_in;
unsigned ranks_in;
unsigned ranks_out;
unsigned long quo;
unsigned long rem;
unsigned i;
unsigned long dest_i;
int dest_rank;
unsigned rank, size;
rank = (unsigned) comm_rank();
size = (unsigned) comm_size();
pn = *n;
po = *o;
prc = *rc;
lin = count_local_in(pn, po, mp);
lout = pn - lin;
tin = mpi_add_ulong(comm_mpi(), lin);
tout = mpi_add_ulong(comm_mpi(), lout);
ranks_in = size / 2;
rank_is_in = (rank < ranks_in);
ranks_out = size - ranks_in;
if (rank_is_in) {
quo = tin / ranks_in;
rem = tin % ranks_in;
nn = (unsigned) quo;
if (rank == ranks_in - 1)
nn += (unsigned) rem;
} else {
quo = tout / ranks_out;
rem = tout % ranks_out;
nn = (unsigned) quo;
if (rank - ranks_in == ranks_out - 1)
nn += (unsigned) rem;
}
no = my_malloc(sizeof(point) * nn);
nrc = my_malloc(sizeof(rcopy) * nn);
in_i = mpi_exscan_ulong(comm_mpi(), lin);
out_i = mpi_exscan_ulong(comm_mpi(), lout);
for (i = 0; i < pn; ++i) {
if (plane_has(mp, po[i])) {
dest_i = in_i++;
dest_rank = (int) (dest_i / quo);
dest_rank = MIN(dest_rank, (int)ranks_in - 1);
ASSERT(dest_rank < (int)ranks_in);
} else {
dest_i = out_i++;
dest_rank = (int) (dest_i / quo);
dest_rank += ranks_in;
dest_rank = MIN(dest_rank, comm_size() - 1);
ASSERT((dest_rank - (int)ranks_in) < (int)ranks_out);
}
COMM_PACK(dest_i, dest_rank);
COMM_PACK(po[i], dest_rank);
COMM_PACK(prc[i], dest_rank);
}
comm_exch();
while (comm_recv()) {
COMM_UNPACK(dest_i);
if (rank_is_in)
i = (unsigned) (dest_i - (rank * quo));
else
i = (unsigned) (dest_i - ((rank - ranks_in) * quo));
COMM_UNPACK(no[i]);
ASSERT(plane_has(mp, no[i]) == rank_is_in);
COMM_UNPACK(nrc[i]);
}
my_free(po);
my_free(prc);
*n = nn;
*o = no;
*rc = nrc;
}
int main(int argc, char **argv) {
int c, i, mu, status;
int ispin, icol, isc;
int n_c = 3;
int n_s = 4;
int count = 0;
int filename_set = 0;
int dims[4] = {0,0,0,0};
int grid_size[4];
int l_LX_at, l_LXstart_at;
int x0, x1, x2, x3, ix, iix, iy, is, it, i3;
int sl0, sl1, sl2, sl3, have_source_flag=0;
int source_proc_coords[4], lsl0, lsl1, lsl2, lsl3;
int check_residuum = 0;
unsigned int VOL3, V5;
int do_gt = 0;
int full_orbit = 0;
int smear_source = 0;
char filename[200], source_filename[200], source_filename_write[200];
double ratime, retime;
double plaq_r=0., plaq_m=0., norm, norm2;
double spinor1[24];
double *gauge_qdp[4], *gauge_field_timeslice=NULL, *gauge_field_smeared=NULL;
double _1_2_kappa, _2_kappa, phase;
FILE *ofs;
int mu_trans[4] = {3, 0, 1, 2};
int threadid, nthreads;
int timeslice, source_timeslice;
char rng_file_in[100], rng_file_out[100];
int *source_momentum=NULL;
int source_momentum_class = -1;
int source_momentum_no = 0;
int source_momentum_runs = 1;
int imom;
int num_gpu_on_node=0, rank;
int source_location_5d_iseven;
int convert_sign=0;
#ifdef HAVE_QUDA
int rotate_gamma_basis = 1;
#else
int rotate_gamma_basis = 0;
#endif
omp_lock_t *lck = NULL, gen_lck[1];
int key = 0;
/****************************************************************************/
/* for smearing parallel to inversion */
double *smearing_spinor_field[] = {NULL,NULL};
int dummy_flag = 0;
/****************************************************************************/
/****************************************************************************/
#if (defined HAVE_QUDA) && (defined MULTI_GPU)
int x_face_size, y_face_size, z_face_size, t_face_size, pad_size;
#endif
/****************************************************************************/
/************************************************/
int qlatt_nclass;
int *qlatt_id=NULL, *qlatt_count=NULL, **qlatt_rep=NULL, **qlatt_map=NULL;
double **qlatt_list=NULL;
/************************************************/
/************************************************/
double boundary_condition_factor;
int boundary_condition_factor_set = 0;
/************************************************/
//#ifdef MPI
// kernelPackT = true;
//#endif
/***********************************************
* QUDA parameters
***********************************************/
#ifdef HAVE_QUDA
QudaPrecision cpu_prec = QUDA_DOUBLE_PRECISION;
QudaPrecision cuda_prec = QUDA_DOUBLE_PRECISION;
QudaPrecision cuda_prec_sloppy = QUDA_SINGLE_PRECISION;
QudaGaugeParam gauge_param = newQudaGaugeParam();
QudaInvertParam inv_param = newQudaInvertParam();
#endif
while ((c = getopt(argc, argv, "soch?vgf:p:b:S:R:")) != -1) {
switch (c) {
case 'v':
g_verbose = 1;
break;
case 'g':
do_gt = 1;
break;
case 'f':
strcpy(filename, optarg);
filename_set=1;
break;
case 'c':
check_residuum = 1;
fprintf(stdout, "# [invert_dw_quda] will check residuum again\n");
break;
case 'p':
n_c = atoi(optarg);
fprintf(stdout, "# [invert_dw_quda] will use number of colors = %d\n", n_c);
break;
case 'o':
full_orbit = 1;
fprintf(stdout, "# [invert_dw_quda] will invert for full orbit, if source momentum set\n");
case 's':
smear_source = 1;
fprintf(stdout, "# [invert_dw_quda] will smear the sources if they are read from file\n");
break;
case 'b':
boundary_condition_factor = atof(optarg);
boundary_condition_factor_set = 1;
fprintf(stdout, "# [invert_dw_quda] const. boundary condition factor set to %e\n", boundary_condition_factor);
break;
case 'S':
convert_sign = atoi(optarg);
fprintf(stdout, "# [invert_dw_quda] using convert sign %d\n", convert_sign);
break;
case 'R':
rotate_gamma_basis = atoi(optarg);
fprintf(stdout, "# [invert_dw_quda] rotate gamma basis %d\n", rotate_gamma_basis);
break;
case 'h':
case '?':
default:
usage();
break;
}
}
// get the time stamp
g_the_time = time(NULL);
/**************************************
* set the default values, read input
**************************************/
if(filename_set==0) strcpy(filename, "cvc.input");
if(g_proc_id==0) fprintf(stdout, "# Reading input from file %s\n", filename);
read_input_parser(filename);
#ifdef MPI
#ifdef HAVE_QUDA
grid_size[0] = g_nproc_x;
grid_size[1] = g_nproc_y;
grid_size[2] = g_nproc_z;
grid_size[3] = g_nproc_t;
fprintf(stdout, "# [] g_nproc = (%d,%d,%d,%d)\n", g_nproc_x, g_nproc_y, g_nproc_z, g_nproc_t);
initCommsQuda(argc, argv, grid_size, 4);
#else
MPI_Init(&argc, &argv);
#endif
#endif
#if (defined PARALLELTX) || (defined PARALLELTXY)
EXIT_WITH_MSG(1, "[] Error, 2-dim./3-dim. MPI-Version not yet implemented");
#endif
// some checks on the input data
if((T_global == 0) || (LX==0) || (LY==0) || (LZ==0)) {
if(g_proc_id==0) fprintf(stderr, "[invert_dw_quda] Error, T and L's must be set\n");
usage();
}
// set number of openmp threads
// initialize MPI parameters
mpi_init(argc, argv);
// the volume of a timeslice
VOL3 = LX*LY*LZ;
V5 = T*LX*LY*LZ*L5;
g_kappa5d = 0.5 / (5. + g_m5);
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] kappa5d = %e\n", g_kappa5d);
fprintf(stdout, "# [%2d] parameters:\n"\
"# [%2d] T = %3d\n"\
"# [%2d] Tstart = %3d\n"\
"# [%2d] L5 = %3d\n",\
g_cart_id, g_cart_id, T, g_cart_id, Tstart, g_cart_id, L5);
#ifdef MPI
if(T==0) {
fprintf(stderr, "[%2d] local T is zero; exit\n", g_cart_id);
MPI_Abort(MPI_COMM_WORLD, 1);
MPI_Finalize();
exit(2);
}
#endif
if(init_geometry() != 0) {
fprintf(stderr, "[invert_dw_quda] Error from init_geometry\n");
EXIT(1);
}
geometry();
if( init_geometry_5d() != 0 ) {
fprintf(stderr, "[invert_dw_quda] Error from init_geometry_5d\n");
EXIT(2);
}
geometry_5d();
/**************************************
* initialize the QUDA library
**************************************/
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] initializing quda\n");
#ifdef HAVE_QUDA
// cudaGetDeviceCount(&num_gpu_on_node);
if(g_gpu_per_node<0) {
if(g_cart_id==0) fprintf(stderr, "[] Error, number of GPUs per node not set\n");
EXIT(106);
} else {
num_gpu_on_node = g_gpu_per_node;
}
#ifdef MPI
rank = comm_rank();
#else
rank = 0;
#endif
g_gpu_device_number = rank % num_gpu_on_node;
fprintf(stdout, "# [] process %d/%d uses device %d\n", rank, g_cart_id, g_gpu_device_number);
initQuda(g_gpu_device_number);
#endif
/**************************************
* prepare the gauge field
**************************************/
// read the gauge field from file
alloc_gauge_field(&g_gauge_field, VOLUMEPLUSRAND);
if(strcmp( gaugefilename_prefix, "identity")==0 ) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] Setting up unit gauge field\n");
for(ix=0;ix<VOLUME; ix++) {
for(mu=0;mu<4;mu++) {
_cm_eq_id(g_gauge_field+_GGI(ix,mu));
}
}
} else if(strcmp( gaugefilename_prefix, "random")==0 ) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] Setting up random gauge field with seed = %d\n", g_seed);
init_rng_state(g_seed, &g_rng_state);
random_gauge_field(g_gauge_field, 1.);
plaquette(&plaq_m);
sprintf(filename, "%s.%.4d", gaugefilename_prefix, Nconf);
check_error(write_lime_gauge_field(filename, plaq_m, Nconf, 64), "write_lime_gauge_field", NULL, 12);
} else {
if(g_gauge_file_format == 0) {
// ILDG
sprintf(filename, "%s.%.4d", gaugefilename_prefix, Nconf);
if(g_cart_id==0) fprintf(stdout, "# Reading gauge field from file %s\n", filename);
status = read_lime_gauge_field_doubleprec(filename);
} else if(g_gauge_file_format == 1) {
// NERSC
sprintf(filename, "%s.%.5d", gaugefilename_prefix, Nconf);
if(g_cart_id==0) fprintf(stdout, "# Reading gauge field from file %s\n", filename);
status = read_nersc_gauge_field(g_gauge_field, filename, &plaq_r);
//status = read_nersc_gauge_field_3x3(g_gauge_field, filename, &plaq_r);
}
if(status != 0) {
fprintf(stderr, "[invert_dw_quda] Error, could not read gauge field");
EXIT(12);
}
}
#ifdef MPI
xchange_gauge();
#endif
// measure the plaquette
plaquette(&plaq_m);
if(g_cart_id==0) fprintf(stdout, "# Measured plaquette value: %25.16e\n", plaq_m);
if(g_cart_id==0) fprintf(stdout, "# Read plaquette value : %25.16e\n", plaq_r);
#ifndef HAVE_QUDA
if(N_Jacobi>0) {
#endif
// allocate the smeared / qdp ordered gauge field
alloc_gauge_field(&gauge_field_smeared, VOLUMEPLUSRAND);
for(i=0;i<4;i++) {
gauge_qdp[i] = gauge_field_smeared + i*18*VOLUME;
}
#ifndef HAVE_QUDA
}
#endif
#ifdef HAVE_QUDA
// transcribe the gauge field
omp_set_num_threads(g_num_threads);
#pragma omp parallel for private(ix,iy,mu)
for(ix=0;ix<VOLUME;ix++) {
iy = g_lexic2eot[ix];
for(mu=0;mu<4;mu++) {
_cm_eq_cm(gauge_qdp[mu_trans[mu]]+18*iy, g_gauge_field+_GGI(ix,mu));
}
}
// multiply timeslice T-1 with factor of -1 (antiperiodic boundary condition)
if(g_proc_coords[0]==g_nproc_t-1) {
if(!boundary_condition_factor_set) boundary_condition_factor = -1.;
fprintf(stdout, "# [] process %d multiplies gauge-field timeslice T_global-1 with boundary condition factor %e\n", g_cart_id,
boundary_condition_factor);
omp_set_num_threads(g_num_threads);
#pragma omp parallel for private(ix,iy)
for(ix=0;ix<VOL3;ix++) {
iix = (T-1)*VOL3 + ix;
iy = g_lexic2eot[iix];
_cm_ti_eq_re(gauge_qdp[mu_trans[0]]+18*iy, -1.);
}
}
// QUDA precision parameters
switch(g_cpu_prec) {
case 0: cpu_prec = QUDA_HALF_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] CPU prec = half\n"); break;
case 1: cpu_prec = QUDA_SINGLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] CPU prec = single\n"); break;
case 2: cpu_prec = QUDA_DOUBLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] CPU prec = double\n"); break;
default: cpu_prec = QUDA_DOUBLE_PRECISION; break;
}
switch(g_gpu_prec) {
case 0: cuda_prec = QUDA_HALF_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU prec = half\n"); break;
case 1: cuda_prec = QUDA_SINGLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU prec = single\n"); break;
case 2: cuda_prec = QUDA_DOUBLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU prec = double\n"); break;
default: cuda_prec = QUDA_DOUBLE_PRECISION; break;
}
switch(g_gpu_prec_sloppy) {
case 0: cuda_prec_sloppy = QUDA_HALF_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU sloppy prec = half\n"); break;
case 1: cuda_prec_sloppy = QUDA_SINGLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU sloppy prec = single\n"); break;
case 2: cuda_prec_sloppy = QUDA_DOUBLE_PRECISION; if(g_cart_id==0) fprintf(stdout, "# [] GPU sloppy prec = double\n"); break;
default: cuda_prec_sloppy = QUDA_SINGLE_PRECISION; break;
}
// QUDA gauge parameters
gauge_param.X[0] = LX;
gauge_param.X[1] = LY;
gauge_param.X[2] = LZ;
gauge_param.X[3] = T;
inv_param.Ls = L5;
gauge_param.anisotropy = 1.0;
gauge_param.type = QUDA_WILSON_LINKS;
gauge_param.gauge_order = QUDA_QDP_GAUGE_ORDER;
gauge_param.t_boundary = QUDA_ANTI_PERIODIC_T;
gauge_param.cpu_prec = cpu_prec;
gauge_param.cuda_prec = cuda_prec;
gauge_param.reconstruct = QUDA_RECONSTRUCT_12;
gauge_param.cuda_prec_sloppy = cuda_prec_sloppy;
gauge_param.reconstruct_sloppy = QUDA_RECONSTRUCT_12;
gauge_param.gauge_fix = QUDA_GAUGE_FIXED_NO;
gauge_param.ga_pad = 0;
inv_param.sp_pad = 0;
inv_param.cl_pad = 0;
// For multi-GPU, ga_pad must be large enough to store a time-slice
#ifdef MULTI_GPU
x_face_size = inv_param.Ls * gauge_param.X[1]*gauge_param.X[2]*gauge_param.X[3]/2;
y_face_size = inv_param.Ls * gauge_param.X[0]*gauge_param.X[2]*gauge_param.X[3]/2;
z_face_size = inv_param.Ls * gauge_param.X[0]*gauge_param.X[1]*gauge_param.X[3]/2;
t_face_size = inv_param.Ls * gauge_param.X[0]*gauge_param.X[1]*gauge_param.X[2]/2;
pad_size = _MAX(x_face_size, y_face_size);
pad_size = _MAX(pad_size, z_face_size);
pad_size = _MAX(pad_size, t_face_size);
gauge_param.ga_pad = pad_size;
if(g_cart_id==0) printf("# [invert_dw_quda] pad_size = %d\n", pad_size);
#endif
// load the gauge field
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] loading gauge field\n");
loadGaugeQuda((void*)gauge_qdp, &gauge_param);
gauge_qdp[0] = NULL;
gauge_qdp[1] = NULL;
gauge_qdp[2] = NULL;
gauge_qdp[3] = NULL;
#endif
/*********************************************
* APE smear the gauge field
*********************************************/
if(N_Jacobi>0) {
memcpy(gauge_field_smeared, g_gauge_field, 72*VOLUMEPLUSRAND*sizeof(double));
fprintf(stdout, "# [invert_dw_quda] APE smearing gauge field with paramters N_APE=%d, alpha_APE=%e\n", N_ape, alpha_ape);
APE_Smearing_Step_threads(gauge_field_smeared, N_ape, alpha_ape);
xchange_gauge_field(gauge_field_smeared);
}
// allocate memory for the spinor fields
#ifdef HAVE_QUDA
no_fields = 3+2;
#else
no_fields = 6+2;
#endif
g_spinor_field = (double**)calloc(no_fields, sizeof(double*));
for(i=0; i<no_fields; i++) alloc_spinor_field(&g_spinor_field[i], VOLUMEPLUSRAND*L5);
smearing_spinor_field[0] = g_spinor_field[no_fields-2];
smearing_spinor_field[1] = g_spinor_field[no_fields-1];
switch(g_source_type) {
case 0:
case 5:
// the source locaton
sl0 = g_source_location / (LX_global*LY_global*LZ);
sl1 = ( g_source_location % (LX_global*LY_global*LZ) ) / ( LY_global*LZ);
sl2 = ( g_source_location % ( LY_global*LZ) ) / ( LZ);
sl3 = g_source_location % LZ;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] global sl = (%d, %d, %d, %d)\n", sl0, sl1, sl2, sl3);
source_proc_coords[0] = sl0 / T;
source_proc_coords[1] = sl1 / LX;
source_proc_coords[2] = sl2 / LY;
source_proc_coords[3] = sl3 / LZ;
#ifdef MPI
MPI_Cart_rank(g_cart_grid, source_proc_coords, &g_source_proc_id);
#else
g_source_proc_id = 0;
#endif
have_source_flag = g_source_proc_id == g_cart_id;
lsl0 = sl0 % T;
lsl1 = sl1 % LX;
lsl2 = sl2 % LY;
lsl3 = sl3 % LZ;
if(have_source_flag) {
fprintf(stdout, "# [invert_dw_quda] process %d has the source at (%d, %d, %d, %d)\n", g_cart_id, lsl0, lsl1, lsl2, lsl3);
}
break;
case 2:
case 3:
case 4:
// the source timeslice
#ifdef MPI
source_proc_coords[0] = g_source_timeslice / T;
source_proc_coords[1] = 0;
source_proc_coords[2] = 0;
source_proc_coords[3] = 0;
MPI_Cart_rank(g_cart_grid, source_proc_coords, &g_source_proc_id);
have_source_flag = ( g_source_proc_id == g_cart_id );
source_timeslice = have_source_flag ? g_source_timeslice % T : -1;
#else
g_source_proc_id = 0;
have_source_flag = 1;
source_timeslice = g_source_timeslice;
#endif
break;
}
#ifdef HAVE_QUDA
/*************************************************************
* QUDA inverter parameters
*************************************************************/
inv_param.dslash_type = QUDA_DOMAIN_WALL_DSLASH;
if(strcmp(g_inverter_type_name, "cg") == 0) {
inv_param.inv_type = QUDA_CG_INVERTER;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] using cg inverter\n");
} else if(strcmp(g_inverter_type_name, "bicgstab") == 0) {
inv_param.inv_type = QUDA_BICGSTAB_INVERTER;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] using bicgstab inverter\n");
#ifdef MULTI_GPU
} else if(strcmp(g_inverter_type_name, "gcr") == 0) {
inv_param.inv_type = QUDA_GCR_INVERTER;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] using gcr inverter\n");
#endif
} else {
if(g_cart_id==0) fprintf(stderr, "[invert_dw_quda] Error, unrecognized inverter type %s\n", g_inverter_type_name);
EXIT(123);
}
if(inv_param.inv_type == QUDA_CG_INVERTER) {
inv_param.solution_type = QUDA_MAT_SOLUTION;
inv_param.solve_type = QUDA_NORMEQ_PC_SOLVE;
} else if(inv_param.inv_type == QUDA_BICGSTAB_INVERTER) {
inv_param.solution_type = QUDA_MAT_SOLUTION;
inv_param.solve_type = QUDA_DIRECT_PC_SOLVE;
} else {
inv_param.solution_type = QUDA_MATPC_SOLUTION;
inv_param.solve_type = QUDA_DIRECT_PC_SOLVE;
}
inv_param.m5 = g_m5;
inv_param.kappa = 0.5 / (5. + inv_param.m5);
inv_param.mass = g_m0;
inv_param.tol = solver_precision;
inv_param.maxiter = niter_max;
inv_param.reliable_delta = reliable_delta;
#ifdef MPI
// domain decomposition preconditioner parameters
if(inv_param.inv_type == QUDA_GCR_INVERTER) {
if(g_cart_id == 0) printf("# [] settup DD parameters\n");
inv_param.gcrNkrylov = 15;
inv_param.inv_type_precondition = QUDA_MR_INVERTER;
inv_param.tol_precondition = 1e-6;
inv_param.maxiter_precondition = 200;
inv_param.verbosity_precondition = QUDA_VERBOSE;
inv_param.prec_precondition = cuda_prec_sloppy;
inv_param.omega = 0.7;
}
#endif
inv_param.matpc_type = QUDA_MATPC_EVEN_EVEN;
inv_param.dagger = QUDA_DAG_NO;
inv_param.mass_normalization = QUDA_KAPPA_NORMALIZATION; //;QUDA_MASS_NORMALIZATION;
inv_param.cpu_prec = cpu_prec;
inv_param.cuda_prec = cuda_prec;
inv_param.cuda_prec_sloppy = cuda_prec_sloppy;
inv_param.verbosity = QUDA_VERBOSE;
inv_param.preserve_source = QUDA_PRESERVE_SOURCE_NO;
inv_param.dirac_order = QUDA_DIRAC_ORDER;
#ifdef MPI
inv_param.preserve_dirac = QUDA_PRESERVE_DIRAC_YES;
inv_param.prec_precondition = cuda_prec_sloppy;
inv_param.gamma_basis = QUDA_DEGRAND_ROSSI_GAMMA_BASIS;
inv_param.dirac_tune = QUDA_TUNE_NO;
#endif
#endif
/*******************************************
* write initial rng state to file
*******************************************/
if( g_source_type==2 && g_coherent_source==2 ) {
sprintf(rng_file_out, "%s.0", g_rng_filename);
status = init_rng_stat_file (g_seed, rng_file_out);
if( status != 0 ) {
fprintf(stderr, "[invert_dw_quda] Error, could not write rng status\n");
EXIT(210);
}
} else if( (g_source_type==2 /*&& g_coherent_source==1*/) || g_source_type==3 || g_source_type==4) {
if( init_rng_state(g_seed, &g_rng_state) != 0 ) {
fprintf(stderr, "[invert_dw_quda] Error, could initialize rng state\n");
EXIT(211);
}
}
/*******************************************
* prepare locks for openmp
*******************************************/
nthreads = g_num_threads - 1;
lck = (omp_lock_t*)malloc(nthreads * sizeof(omp_lock_t));
if(lck == NULL) {
EXIT_WITH_MSG(97, "[invert_dw_quda] Error, could not allocate lck\n");
}
// init locks
for(i=0;i<nthreads;i++) {
omp_init_lock(lck+i);
}
omp_init_lock(gen_lck);
// check the source momenta
if(g_source_momentum_set) {
source_momentum = (int*)malloc(3*sizeof(int));
if(g_source_momentum[0]<0) g_source_momentum[0] += LX_global;
if(g_source_momentum[1]<0) g_source_momentum[1] += LY_global;
if(g_source_momentum[2]<0) g_source_momentum[2] += LZ_global;
fprintf(stdout, "# [invert_dw_quda] using final source momentum ( %d, %d, %d )\n", g_source_momentum[0], g_source_momentum[1], g_source_momentum[2]);
if(full_orbit) {
status = make_qcont_orbits_3d_parity_avg( &qlatt_id, &qlatt_count, &qlatt_list, &qlatt_nclass, &qlatt_rep, &qlatt_map);
if(status != 0) {
if(g_cart_id==0) fprintf(stderr, "\n[invert_dw_quda] Error while creating O_3-lists\n");
EXIT(4);
}
source_momentum_class = qlatt_id[g_ipt[0][g_source_momentum[0]][g_source_momentum[1]][g_source_momentum[2]]];
source_momentum_no = qlatt_count[source_momentum_class];
source_momentum_runs = source_momentum_class==0 ? 1 : source_momentum_no + 1;
if(g_cart_id==0) fprintf(stdout, "# [] source momentum belongs to class %d with %d members, which means %d runs\n",
source_momentum_class, source_momentum_no, source_momentum_runs);
}
}
if(g_source_type == 5) {
if(g_seq_source_momentum_set) {
if(g_seq_source_momentum[0]<0) g_seq_source_momentum[0] += LX_global;
if(g_seq_source_momentum[1]<0) g_seq_source_momentum[1] += LY_global;
if(g_seq_source_momentum[2]<0) g_seq_source_momentum[2] += LZ_global;
} else if(g_source_momentum_set) {
g_seq_source_momentum[0] = g_source_momentum[0];
g_seq_source_momentum[1] = g_source_momentum[1];
g_seq_source_momentum[2] = g_source_momentum[2];
}
fprintf(stdout, "# [invert_dw_quda] using final sequential source momentum ( %d, %d, %d )\n",
g_seq_source_momentum[0], g_seq_source_momentum[1], g_seq_source_momentum[2]);
}
/***********************************************
* loop on spin-color-index
***********************************************/
for(isc=g_source_index[0]; isc<=g_source_index[1]; isc++)
// for(isc=g_source_index[0]; isc<=g_source_index[0]; isc++)
{
ispin = isc / n_c;
icol = isc % n_c;
for(imom=0; imom<source_momentum_runs; imom++) {
/***********************************************
* set source momentum
***********************************************/
if(g_source_momentum_set) {
if(imom == 0) {
if(full_orbit) {
source_momentum[0] = 0;
source_momentum[1] = 0;
source_momentum[2] = 0;
} else {
source_momentum[0] = g_source_momentum[0];
source_momentum[1] = g_source_momentum[1];
source_momentum[2] = g_source_momentum[2];
}
} else {
source_momentum[0] = qlatt_map[source_momentum_class][imom-1] / (LY_global*LZ_global);
source_momentum[1] = ( qlatt_map[source_momentum_class][imom-1] % (LY_global*LZ_global) ) / LZ_global;
source_momentum[2] = qlatt_map[source_momentum_class][imom-1] % LZ_global;
}
if(g_cart_id==0) fprintf(stdout, "# [] run no. %d, source momentum (%d, %d, %d)\n",
imom, source_momentum[0], source_momentum[1], source_momentum[2]);
}
/***********************************************
* prepare the souce
***********************************************/
if(g_read_source == 0) { // create source
switch(g_source_type) {
case 0:
// point source
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] Creating point source\n");
for(ix=0;ix<L5*VOLUME;ix++) { _fv_eq_zero(g_spinor_field[0]+ix); }
if(have_source_flag) {
if(g_source_momentum_set) {
phase = 2*M_PI*( source_momentum[0]*sl1/(double)LX_global + source_momentum[1]*sl2/(double)LY_global + source_momentum[2]*sl3/(double)LZ_global );
g_spinor_field[0][_GSI(g_ipt[lsl0][lsl1][lsl2][lsl3]) + 2*(n_c*ispin+icol) ] = cos(phase);
g_spinor_field[0][_GSI(g_ipt[lsl0][lsl1][lsl2][lsl3]) + 2*(n_c*ispin+icol)+1] = sin(phase);
} else {
g_spinor_field[0][_GSI(g_ipt[lsl0][lsl1][lsl2][lsl3]) + 2*(n_c*ispin+icol) ] = 1.;
}
}
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.t%.2dx%.2dy%.2dz%.2d.%.2d.qx%.2dqy%.2dqz%.2d",
filename_prefix, Nconf, sl0, sl1, sl2, sl3, n_c*ispin+icol, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.t%.2dx%.2dy%.2dz%.2d.%.2d", filename_prefix, Nconf, sl0, sl1, sl2, sl3, n_c*ispin+icol);
}
#ifdef HAVE_QUDA
// set matpc_tpye
source_location_5d_iseven = ( (g_iseven[g_ipt[lsl0][lsl1][lsl2][lsl3]] && ispin<n_s/2) || (!g_iseven[g_ipt[lsl0][lsl1][lsl2][lsl3]] && ispin>=n_s/2) ) ? 1 : 0;
if(source_location_5d_iseven) {
inv_param.matpc_type = QUDA_MATPC_EVEN_EVEN;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] matpc type is MATPC_EVEN_EVEN\n");
} else {
inv_param.matpc_type = QUDA_MATPC_ODD_ODD;
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] matpc type is MATPC_ODD_ODD\n");
}
#endif
break;
case 2:
// timeslice source
if(g_coherent_source==1) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] Creating coherent timeslice source\n");
status = prepare_coherent_timeslice_source(g_spinor_field[0], gauge_field_smeared, g_coherent_source_base, g_coherent_source_delta, VOLUME, g_rng_state, 1);
if(status != 0) {
fprintf(stderr, "[invert_dw_quda] Error from prepare source, status was %d\n", status);
#ifdef MPI
MPI_Abort(MPI_COMM_WORLD, 123);
MPI_Finalize();
#endif
exit(123);
}
check_error(prepare_coherent_timeslice_source(g_spinor_field[0], gauge_field_smeared, g_coherent_source_base, g_coherent_source_delta, VOLUME, g_rng_state, 1),
"prepare_coherent_timeslice_source", NULL, 123);
timeslice = g_coherent_source_base;
} else {
if(g_coherent_source==2) {
timeslice = (g_coherent_source_base+isc*g_coherent_source_delta)%T_global;
fprintf(stdout, "# [invert_dw_quda] Creating timeslice source\n");
check_error(prepare_timeslice_source(g_spinor_field[0], gauge_field_smeared, timeslice, VOLUME, g_rng_state, 1),
"prepare_timeslice_source", NULL, 123);
} else {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] Creating timeslice source\n");
check_error(prepare_timeslice_source(g_spinor_field[0], gauge_field_smeared, g_source_timeslice, VOLUME, g_rng_state, 1),
"prepare_timeslice_source", NULL, 124);
timeslice = g_source_timeslice;
}
}
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.%.2d.%.5d.qx%.2dqy%.2dqz%.2d", filename_prefix, Nconf,
timeslice, isc, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.%.2d.%.5d", filename_prefix, Nconf, timeslice, isc);
}
break;
case 3:
// timeslice sources for one-end trick (spin dilution)
fprintf(stdout, "# [invert_dw_quda] Creating timeslice source for one-end-trick\n");
check_error( prepare_timeslice_source_one_end(g_spinor_field[0], gauge_field_smeared, source_timeslice, source_momentum, isc%n_s, g_rng_state, \
( isc%n_s==(n_s-1) && imom==source_momentum_runs-1 )), "prepare_timeslice_source_one_end", NULL, 125 );
c = N_Jacobi > 0 ? isc%n_s + n_s : isc%n_s;
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.%.2d.%.2d.qx%.2dqy%.2dqz%.2d", filename_prefix, Nconf,
g_source_timeslice, c, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.%.2d.%.2d", filename_prefix, Nconf, g_source_timeslice, c);
}
break;
case 4:
// timeslice sources for one-end trick (spin and color dilution )
fprintf(stdout, "# [invert_dw_quda] Creating timeslice source for one-end-trick\n");
check_error(prepare_timeslice_source_one_end_color(g_spinor_field[0], gauge_field_smeared, source_timeslice, source_momentum,\
isc%(n_s*n_c), g_rng_state, ( isc%(n_s*n_c)==(n_s*n_c-1) && imom==source_momentum_runs-1 )), "prepare_timeslice_source_one_end_color", NULL, 126);
c = N_Jacobi > 0 ? isc%(n_s*n_c) + (n_s*n_c) : isc%(n_s*n_c);
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.%.2d.%.2d.qx%.2dqy%.2dqz%.2d", filename_prefix, Nconf,
g_source_timeslice, c, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.%.2d.%.2d", filename_prefix, Nconf, g_source_timeslice, c);
}
break;
case 5:
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] preparing sequential point source\n");
check_error( prepare_sequential_point_source (g_spinor_field[0], isc, sl0, g_seq_source_momentum,
smear_source, g_spinor_field[1], gauge_field_smeared), "prepare_sequential_point_source", NULL, 33);
sprintf(source_filename, "%s.%.4d.t%.2dx%.2d.y%.2d.z%.2d.%.2d.qx%.2dqy%.2dqz%.2d", filename_prefix2, Nconf,
sl0, sl1, sl2, sl3, isc, g_source_momentum[0], g_source_momentum[1], g_source_momentum[2]);
break;
default:
fprintf(stderr, "\nError, unrecognized source type\n");
exit(32);
break;
}
} else { // read source
switch(g_source_type) {
case 0: // point source
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.t%.2dx%.2dy%.2dz%.2d.%.2d.qx%.2dqy%.2dqz%.2d", \
filename_prefix2, Nconf, sl0, sl1, sl2, sl3, isc, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.t%.2dx%.2dy%.2dz%.2d.%.2d", filename_prefix2, Nconf, sl0, sl1, sl2, sl3, isc);
}
fprintf(stdout, "# [invert_dw_quda] reading source from file %s\n", source_filename);
check_error(read_lime_spinor(g_spinor_field[0], source_filename, 0), "read_lime_spinor", NULL, 115);
break;
case 2: // timeslice source
if(g_source_momentum_set) {
sprintf(source_filename, "%s.%.4d.%.2d.%.5d.qx%.2dqy%.2dqz%.2d", filename_prefix2, Nconf, g_source_timeslice,
isc, source_momentum[0], source_momentum[1], source_momentum[2]);
} else {
sprintf(source_filename, "%s.%.4d.%.2d.%.5d", filename_prefix2, Nconf, g_source_timeslice, isc);
}
fprintf(stdout, "# [invert_dw_quda] reading source from file %s\n", source_filename);
check_error(read_lime_spinor(g_spinor_field[0], source_filename, 0), "read_lime_spinor", NULL, 115);
break;
default:
check_error(1, "source type", NULL, 104);
break;
case -1: // timeslice source
sprintf(source_filename, "%s", filename_prefix2);
fprintf(stdout, "# [invert_dw_quda] reading source from file %s\n", source_filename);
check_error(read_lime_spinor(g_spinor_field[0], source_filename, 0), "read_lime_spinor", NULL, 115);
break;
}
} // of if g_read_source
if(g_write_source) {
check_error(write_propagator(g_spinor_field[0], source_filename, 0, g_propagator_precision), "write_propagator", NULL, 27);
}
/***********************************************************************************************
* here threads split:
***********************************************************************************************/
if(dummy_flag==0) strcpy(source_filename_write, source_filename);
memcpy((void*)(smearing_spinor_field[0]), (void*)(g_spinor_field[0]), 24*VOLUME*sizeof(double));
if(dummy_flag>0) {
// copy only if smearing has been done; otherwise do not copy, do not invert
if(g_cart_id==0) fprintf(stdout, "# [] copy smearing field -> g field\n");
memcpy((void*)(g_spinor_field[0]), (void*)(smearing_spinor_field[1]), 24*VOLUME*sizeof(double));
}
omp_set_num_threads(g_num_threads);
#pragma omp parallel private(threadid, _2_kappa, is, ix, iy, iix, ratime, retime) shared(key,g_read_source, smear_source, N_Jacobi, kappa_Jacobi, smearing_spinor_field, g_spinor_field, nthreads, convert_sign, VOLUME, VOL3, T, L5, isc, rotate_gamma_basis, g_cart_id) firstprivate(inv_param, gauge_param, ofs)
{
threadid = omp_get_thread_num();
if(threadid < nthreads) {
fprintf(stdout, "# [] proc%.2d thread%.2d starting source preparation\n", g_cart_id, threadid);
// smearing
if( ( !g_read_source || (g_read_source && smear_source ) ) && N_Jacobi > 0 ) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] smearing source with N_Jacobi=%d, kappa_Jacobi=%e\n", N_Jacobi, kappa_Jacobi);
Jacobi_Smearing_threaded(gauge_field_smeared, smearing_spinor_field[0], smearing_spinor_field[1], kappa_Jacobi, N_Jacobi, threadid, nthreads);
}
/***********************************************
* create the 5-dim. source field
***********************************************/
if(convert_sign == 0) {
spinor_4d_to_5d_threaded(smearing_spinor_field[0], smearing_spinor_field[0], threadid, nthreads);
} else if(convert_sign == 1 || convert_sign == -1) {
spinor_4d_to_5d_sign_threaded(smearing_spinor_field[0], smearing_spinor_field[0], convert_sign, threadid, nthreads);
}
for(is=0; is<L5; is++) {
for(it=threadid; it<T; it+=nthreads) {
memcpy((void*)(g_spinor_field[0]+_GSI(g_ipt_5d[is][it][0][0][0])), (void*)(smearing_spinor_field[0]+_GSI(g_ipt_5d[is][it][0][0][0])), VOL3*24*sizeof(double));
}
}
// reorder, multiply with g2
for(is=0; is<L5; is++) {
for(it=threadid; it<T; it+=nthreads) {
for(i3=0; i3<VOL3; i3++) {
ix = (is*T+it)*VOL3 + i3;
_fv_eq_zero(smearing_spinor_field[1]+_GSI(ix));
}}}
if(rotate_gamma_basis) {
for(it=threadid; it<T; it+=nthreads) {
for(i3=0; i3<VOL3; i3++) {
ix = it * VOL3 + i3;
iy = lexic2eot_5d(0, ix);
_fv_eq_gamma_ti_fv(smearing_spinor_field[1]+_GSI(iy), 2, smearing_spinor_field[0]+_GSI(ix));
}}
for(it=threadid; it<T; it+=nthreads) {
for(i3=0; i3<VOL3; i3++) {
ix = it * VOL3 + i3;
iy = lexic2eot_5d(L5-1, ix);
_fv_eq_gamma_ti_fv(smearing_spinor_field[1]+_GSI(iy), 2, smearing_spinor_field[0]+_GSI(ix+(L5-1)*VOLUME));
}}
} else {
for(it=threadid; it<T; it+=nthreads) {
for(i3=0; i3<VOL3; i3++) {
ix = it * VOL3 + i3;
iy = lexic2eot_5d(0, ix);
_fv_eq_fv(smearing_spinor_field[1]+_GSI(iy), smearing_spinor_field[0]+_GSI(ix));
}}
for(it=threadid; it<T; it+=nthreads) {
for(i3=0; i3<VOL3; i3++) {
ix = it * VOL3 + i3;
iy = lexic2eot_5d(L5-1, ix);
_fv_eq_fv(smearing_spinor_field[1]+_GSI(iy), smearing_spinor_field[0]+_GSI(ix+(L5-1)*VOLUME));
}}
}
fprintf(stdout, "# [] proc%.2d thread%.2d finished source preparation\n", g_cart_id, threadid);
} else if(threadid == g_num_threads-1 && dummy_flag > 0) { // else branch on threadid
fprintf(stdout, "# [] proc%.2d thread%.2d starting inversion for dummy_flag = %d\n", g_cart_id, threadid, dummy_flag);
/***********************************************
* perform the inversion
***********************************************/
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] starting inversion\n");
xchange_field_5d(g_spinor_field[0]);
memset(g_spinor_field[1], 0, (VOLUME+RAND)*L5*24*sizeof(double));
ratime = CLOCK;
#ifdef MPI
if(inv_param.inv_type == QUDA_BICGSTAB_INVERTER || inv_param.inv_type == QUDA_GCR_INVERTER) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] calling invertQuda\n");
invertQuda(g_spinor_field[1], g_spinor_field[0], &inv_param);
} else if(inv_param.inv_type == QUDA_CG_INVERTER) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] calling testCG\n");
testCG(g_spinor_field[1], g_spinor_field[0], &inv_param);
} else {
if(g_cart_id==0) fprintf(stderr, "# [invert_dw_quda] unrecognized inverter\n");
}
#else
invertQuda(g_spinor_field[1], g_spinor_field[0], &inv_param);
#endif
retime = CLOCK;
if(g_cart_id==0) {
fprintf(stdout, "# [invert_dw_quda] QUDA time: %e seconds\n", inv_param.secs);
fprintf(stdout, "# [invert_dw_quda] QUDA Gflops: %e\n", inv_param.gflops/inv_param.secs);
fprintf(stdout, "# [invert_dw_quda] wall time: %e seconds\n", retime-ratime);
fprintf(stdout, "# [invert_dw_quda] Device memory used:\n\tSpinor: %f GiB\n\tGauge: %f GiB\n",
inv_param.spinorGiB, gauge_param.gaugeGiB);
}
} // of if threadid
// wait till all threads are here
#pragma omp barrier
if(inv_param.mass_normalization == QUDA_KAPPA_NORMALIZATION) {
_2_kappa = 2. * g_kappa5d;
for(ix=threadid; ix<VOLUME*L5;ix+=g_num_threads) {
_fv_ti_eq_re(g_spinor_field[1]+_GSI(ix), _2_kappa );
}
}
#pragma omp barrier
// reorder, multiply with g2
for(is=0;is<L5;is++) {
for(ix=threadid; ix<VOLUME; ix+=g_num_threads) {
iy = lexic2eot_5d(is, ix);
iix = is*VOLUME + ix;
_fv_eq_fv(g_spinor_field[0]+_GSI(iix), g_spinor_field[1]+_GSI(iy));
}}
#pragma omp barrier
if(rotate_gamma_basis) {
for(ix=threadid; ix<VOLUME*L5; ix+=g_num_threads) {
_fv_eq_gamma_ti_fv(g_spinor_field[1]+_GSI(ix), 2, g_spinor_field[0]+_GSI(ix));
}
} else {
for(ix=threadid; ix<VOLUME*L5;ix+=g_num_threads) {
_fv_eq_fv(g_spinor_field[1]+_GSI(ix), g_spinor_field[0]+_GSI(ix));
}
}
if(g_cart_id==0 && threadid==g_num_threads-1) fprintf(stdout, "# [invert_dw_quda] inversion done in %e seconds\n", retime-ratime);
#pragma omp single
{
#ifdef MPI
xchange_field_5d(g_spinor_field[1]);
#endif
/***********************************************
* check residuum
***********************************************/
if(check_residuum && dummy_flag>0) {
// apply the Wilson Dirac operator in the gamma-basis defined in cvc_linalg,
// which uses the tmLQCD conventions (same as in contractions)
// without explicit boundary conditions
#ifdef MPI
xchange_field_5d(g_spinor_field[2]);
xchange_field_5d(g_spinor_field[1]);
#endif
memset(g_spinor_field[0], 0, 24*(VOLUME+RAND)*L5*sizeof(double));
//sprintf(filename, "%s.inverted.ascii.%.2d", source_filename, g_cart_id);
//ofs = fopen(filename, "w");
//printf_spinor_field_5d(g_spinor_field[1], ofs);
//fclose(ofs);
Q_DW_Wilson_phi(g_spinor_field[0], g_spinor_field[1]);
for(ix=0;ix<VOLUME*L5;ix++) {
_fv_mi_eq_fv(g_spinor_field[0]+_GSI(ix), g_spinor_field[2]+_GSI(ix));
}
spinor_scalar_product_re(&norm2, g_spinor_field[2], g_spinor_field[2], VOLUME*L5);
spinor_scalar_product_re(&norm, g_spinor_field[0], g_spinor_field[0], VOLUME*L5);
if(g_cart_id==0) fprintf(stdout, "\n# [invert_dw_quda] absolut residuum squared: %e; relative residuum %e\n", norm, sqrt(norm/norm2) );
}
if(dummy_flag>0) {
/***********************************************
* create 4-dim. propagator
***********************************************/
if(convert_sign == 0) {
spinor_5d_to_4d(g_spinor_field[1], g_spinor_field[1]);
} else if(convert_sign == -1 || convert_sign == +1) {
spinor_5d_to_4d_sign(g_spinor_field[1], g_spinor_field[1], convert_sign);
}
/***********************************************
* write the solution
***********************************************/
sprintf(filename, "%s.inverted", source_filename_write);
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] writing propagator to file %s\n", filename);
check_error(write_propagator(g_spinor_field[1], filename, 0, g_propagator_precision), "write_propagator", NULL, 22);
//sprintf(filename, "prop.ascii.4d.%.2d.%.2d.%.2d", isc, g_nproc, g_cart_id);
//ofs = fopen(filename, "w");
//printf_spinor_field(g_spinor_field[1], ofs);
//fclose(ofs);
}
if(check_residuum) memcpy(g_spinor_field[2], smearing_spinor_field[0], 24*VOLUME*L5*sizeof(double));
} // of omp single
} // of omp parallel region
if(dummy_flag > 0) strcpy(source_filename_write, source_filename);
dummy_flag++;
} // of loop on momenta
} // of isc
#if 0
// last inversion
{
memcpy(g_spinor_field[0], smearing_spinor_field[1], 24*VOLUME*L5*sizeof(double));
if(g_cart_id==0) fprintf(stdout, "# [] proc%.2d starting last inversion\n", g_cart_id);
/***********************************************
* perform the inversion
***********************************************/
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] starting inversion\n");
xchange_field_5d(g_spinor_field[0]);
memset(g_spinor_field[1], 0, (VOLUME+RAND)*L5*24*sizeof(double));
ratime = CLOCK;
#ifdef MPI
if(inv_param.inv_type == QUDA_BICGSTAB_INVERTER || inv_param.inv_type == QUDA_GCR_INVERTER) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] calling invertQuda\n");
invertQuda(g_spinor_field[1], g_spinor_field[0], &inv_param);
} else if(inv_param.inv_type == QUDA_CG_INVERTER) {
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] calling testCG\n");
testCG(g_spinor_field[1], g_spinor_field[0], &inv_param);
} else {
if(g_cart_id==0) fprintf(stderr, "# [invert_dw_quda] unrecognized inverter\n");
}
#else
invertQuda(g_spinor_field[1], g_spinor_field[0], &inv_param);
#endif
retime = CLOCK;
if(g_cart_id==0) {
fprintf(stdout, "# [invert_dw_quda] QUDA time: %e seconds\n", inv_param.secs);
fprintf(stdout, "# [invert_dw_quda] QUDA Gflops: %e\n", inv_param.gflops/inv_param.secs);
fprintf(stdout, "# [invert_dw_quda] wall time: %e seconds\n", retime-ratime);
fprintf(stdout, "# [invert_dw_quda] Device memory used:\n\tSpinor: %f GiB\n\tGauge: %f GiB\n",
inv_param.spinorGiB, gauge_param.gaugeGiB);
}
omp_set_num_threads(g_num_threads);
#pragma omp parallel private(threadid,_2_kappa,is,ix,iy,iix) shared(VOLUME,L5,g_kappa,g_spinor_field,g_num_threads)
{
threadid = omp_get_thread_num();
if(inv_param.mass_normalization == QUDA_KAPPA_NORMALIZATION) {
_2_kappa = 2. * g_kappa5d;
for(ix=threadid; ix<VOLUME*L5;ix+=g_num_threads) {
_fv_ti_eq_re(g_spinor_field[1]+_GSI(ix), _2_kappa );
}
}
#pragma omp barrier
// reorder, multiply with g2
for(is=0;is<L5;is++) {
for(ix=threadid; ix<VOLUME; ix+=g_num_threads) {
iy = lexic2eot_5d(is, ix);
iix = is*VOLUME + ix;
_fv_eq_fv(g_spinor_field[0]+_GSI(iix), g_spinor_field[1]+_GSI(iy));
}}
#pragma omp barrier
if(rotate_gamma_basis) {
for(ix=threadid; ix<VOLUME*L5; ix+=g_num_threads) {
_fv_eq_gamma_ti_fv(g_spinor_field[1]+_GSI(ix), 2, g_spinor_field[0]+_GSI(ix));
}
} else {
for(ix=threadid; ix<VOLUME*L5;ix+=g_num_threads) {
_fv_eq_fv(g_spinor_field[1]+_GSI(ix), g_spinor_field[0]+_GSI(ix));
}
}
} // end of parallel region
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] inversion done in %e seconds\n", retime-ratime);
#ifdef MPI
xchange_field_5d(g_spinor_field[1]);
#endif
/***********************************************
* check residuum
***********************************************/
if(check_residuum && dummy_flag>0) {
// apply the Wilson Dirac operator in the gamma-basis defined in cvc_linalg,
// which uses the tmLQCD conventions (same as in contractions)
// without explicit boundary conditions
#ifdef MPI
xchange_field_5d(g_spinor_field[2]);
#endif
memset(g_spinor_field[0], 0, 24*(VOLUME+RAND)*L5*sizeof(double));
//sprintf(filename, "%s.inverted.ascii.%.2d", source_filename, g_cart_id);
//ofs = fopen(filename, "w");
//printf_spinor_field_5d(g_spinor_field[1], ofs);
//fclose(ofs);
Q_DW_Wilson_phi(g_spinor_field[0], g_spinor_field[1]);
for(ix=0;ix<VOLUME*L5;ix++) {
_fv_mi_eq_fv(g_spinor_field[0]+_GSI(ix), g_spinor_field[2]+_GSI(ix));
}
spinor_scalar_product_re(&norm, g_spinor_field[0], g_spinor_field[0], VOLUME*L5);
spinor_scalar_product_re(&norm2, g_spinor_field[2], g_spinor_field[2], VOLUME*L5);
if(g_cart_id==0) fprintf(stdout, "\n# [invert_dw_quda] absolut residuum squared: %e; relative residuum %e\n", norm, sqrt(norm/norm2) );
}
/***********************************************
* create 4-dim. propagator
***********************************************/
if(convert_sign == 0) {
spinor_5d_to_4d(g_spinor_field[1], g_spinor_field[1]);
} else if(convert_sign == -1 || convert_sign == +1) {
spinor_5d_to_4d_sign(g_spinor_field[1], g_spinor_field[1], convert_sign);
}
/***********************************************
* write the solution
***********************************************/
sprintf(filename, "%s.inverted", source_filename_write);
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] writing propagator to file %s\n", filename);
check_error(write_propagator(g_spinor_field[1], filename, 0, g_propagator_precision), "write_propagator", NULL, 22);
//sprintf(filename, "prop.ascii.4d.%.2d.%.2d.%.2d", isc, g_nproc, g_cart_id);
//ofs = fopen(filename, "w");
//printf_spinor_field(g_spinor_field[1], ofs);
//fclose(ofs);
} // of last inversion
#endif // of if 0
/***********************************************
* free the allocated memory, finalize
***********************************************/
#ifdef HAVE_QUDA
// finalize the QUDA library
if(g_cart_id==0) fprintf(stdout, "# [invert_dw_quda] finalizing quda\n");
#ifdef MPI
freeGaugeQuda();
#endif
endQuda();
#endif
if(g_gauge_field != NULL) free(g_gauge_field);
if(gauge_field_smeared != NULL) free(gauge_field_smeared);
if(no_fields>0) {
if(g_spinor_field!=NULL) {
for(i=0; i<no_fields; i++) if(g_spinor_field[i]!=NULL) free(g_spinor_field[i]);
free(g_spinor_field);
}
}
free_geometry();
if(g_source_momentum_set && full_orbit) {
finalize_q_orbits(&qlatt_id, &qlatt_count, &qlatt_list, &qlatt_rep);
if(qlatt_map != NULL) {
free(qlatt_map[0]);
free(qlatt_map);
}
}
if(source_momentum != NULL) free(source_momentum);
if(lck != NULL) free(lck);
#ifdef MPI
#ifdef HAVE_QUDA
endCommsQuda();
#else
MPI_Finalize();
#endif
#endif
if(g_cart_id==0) {
g_the_time = time(NULL);
fprintf(stdout, "\n# [invert_dw_quda] %s# [invert_dw_quda] end of run\n", ctime(&g_the_time));
fprintf(stderr, "\n# [invert_dw_quda] %s# [invert_dw_quda] end of run\n", ctime(&g_the_time));
}
return(0);
}