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Author SHA1 Message Date
c6e4d4ab71 Add OpenMP parallelization to BSSN RHS hot-path stencil routines
Enable OpenMP threading for the dominant computational kernels:
- makefile.inc: add -qopenmp to f90appflags
- diff_new.f90: split fderivs/fdderivs into OpenMP interior + serial boundary
- kodiss.f90: split kodis into OpenMP interior + serial boundary
- lopsidediff.f90: add OMP PARALLEL DO COLLAPSE(2) to lopsided
- fmisc.f90: parallelize symmetry_bd bulk array copy
- bssn_rhs.f90: add OMP WORKSHARE to array-syntax operations

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 13:58:55 +08:00
30 changed files with 13856 additions and 16583 deletions

View File

@@ -8,14 +8,6 @@
##
##################################################################
## Guard against re-execution by multiprocessing child processes.
## Without this, using 'spawn' or 'forkserver' context would cause every
## worker to re-run the entire script, spawning exponentially more
## workers (fork bomb).
if __name__ != '__main__':
import sys as _sys
_sys.exit(0)
##################################################################
@@ -66,8 +58,7 @@ if os.path.exists(File_directory):
## Prompt whether to overwrite the existing directory
while True:
try:
## inputvalue = input()
inputvalue = "continue"
inputvalue = input()
## If the user agrees to overwrite, proceed and remove the existing directory
if ( inputvalue == "continue" ):
print( " Continue the calculation !!! " )
@@ -433,31 +424,26 @@ print(
import plot_xiaoqu
import plot_GW_strain_amplitude_xiaoqu
from parallel_plot_helper import run_plot_tasks_parallel
plot_tasks = []
## Plot black hole trajectory
plot_tasks.append( ( plot_xiaoqu.generate_puncture_orbit_plot, (binary_results_directory, figure_directory) ) )
plot_tasks.append( ( plot_xiaoqu.generate_puncture_orbit_plot3D, (binary_results_directory, figure_directory) ) )
plot_xiaoqu.generate_puncture_orbit_plot( binary_results_directory, figure_directory )
plot_xiaoqu.generate_puncture_orbit_plot3D( binary_results_directory, figure_directory )
## Plot black hole separation vs. time
plot_tasks.append( ( plot_xiaoqu.generate_puncture_distence_plot, (binary_results_directory, figure_directory) ) )
plot_xiaoqu.generate_puncture_distence_plot( binary_results_directory, figure_directory )
## Plot gravitational waveforms (psi4 and strain amplitude)
for i in range(input_data.Detector_Number):
plot_tasks.append( ( plot_xiaoqu.generate_gravitational_wave_psi4_plot, (binary_results_directory, figure_directory, i) ) )
plot_tasks.append( ( plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot, (binary_results_directory, figure_directory, i) ) )
plot_xiaoqu.generate_gravitational_wave_psi4_plot( binary_results_directory, figure_directory, i )
plot_GW_strain_amplitude_xiaoqu.generate_gravitational_wave_amplitude_plot( binary_results_directory, figure_directory, i )
## Plot ADM mass evolution
for i in range(input_data.Detector_Number):
plot_tasks.append( ( plot_xiaoqu.generate_ADMmass_plot, (binary_results_directory, figure_directory, i) ) )
plot_xiaoqu.generate_ADMmass_plot( binary_results_directory, figure_directory, i )
## Plot Hamiltonian constraint violation over time
for i in range(input_data.grid_level):
plot_tasks.append( ( plot_xiaoqu.generate_constraint_check_plot, (binary_results_directory, figure_directory, i) ) )
run_plot_tasks_parallel(plot_tasks)
plot_xiaoqu.generate_constraint_check_plot( binary_results_directory, figure_directory, i )
## Plot stored binary data
plot_xiaoqu.generate_binary_data_plot( binary_results_directory, figure_directory )

View File

@@ -341,9 +341,8 @@ void Patch::Interp_Points(MyList<var> *VarList,
double *Shellf, int Symmetry)
{
// NOTE: we do not Synchnize variables here, make sure of that before calling this routine
int myrank, nprocs;
int myrank;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
int ordn = 2 * ghost_width;
MyList<var> *varl;
@@ -355,18 +354,24 @@ void Patch::Interp_Points(MyList<var> *VarList,
varl = varl->next;
}
memset(Shellf, 0, sizeof(double) * NN * num_var);
double *shellf;
shellf = new double[NN * num_var];
memset(shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j
// All ranks traverse the same block list so they all agree on ownership
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
// we use weight to monitor code, later some day we can move it for optimization
int *weight;
weight = new int[NN];
memset(weight, 0, sizeof(int) * NN);
double *DH, *llb, *uub;
DH = new double[dim];
double DH[dim], llb[dim], uub[dim];
for (int i = 0; i < dim; i++)
{
DH[i] = getdX(i);
}
llb = new double[dim];
uub = new double[dim];
for (int j = 0; j < NN; j++) // run along points
{
@@ -398,6 +403,12 @@ void Patch::Interp_Points(MyList<var> *VarList,
bool flag = true;
for (int i = 0; i < dim; i++)
{
// NOTE: our dividing structure is (exclude ghost)
// -1 0
// 1 2
// so (0,1) does not belong to any part for vertex structure
// here we put (0,0.5) to left part and (0.5,1) to right part
// BUT for cell structure the bbox is (-1.5,0.5) and (0.5,2.5), there is no missing region at all
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
@@ -422,7 +433,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
if (flag)
{
notfind = false;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
@@ -430,11 +440,14 @@ void Patch::Interp_Points(MyList<var> *VarList,
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
// shellf[j*num_var+k] = Parallel::global_interp(dim,BP->shape,BP->X,BP->fgfs[varl->data->sgfn],
// pox,ordn,varl->data->SoA,Symmetry);
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
weight[j] = 1;
}
}
if (Bp == ble)
@@ -442,128 +455,62 @@ void Patch::Interp_Points(MyList<var> *VarList,
Bp = Bp->next;
}
}
// Replace MPI_Allreduce with per-owner MPI_Bcast:
// Group consecutive points by owner rank and broadcast each group.
// Since each point's data is non-zero only on the owner rank,
// Bcast from owner is equivalent to Allreduce(MPI_SUM) but much cheaper.
MPI_Allreduce(shellf, Shellf, NN * num_var, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
int *Weight;
Weight = new int[NN];
MPI_Allreduce(weight, Weight, NN, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
// misc::tillherecheck("print me");
for (int i = 0; i < NN; i++)
{
int j = 0;
while (j < NN)
{
int cur_owner = owner_rank[j];
if (cur_owner < 0)
if (Weight[i] > 1)
{
if (myrank == 0)
cout << "WARNING: Patch::Interp_Points meets multiple weight" << endl;
for (int j = 0; j < num_var; j++)
Shellf[j + i * num_var] = Shellf[j + i * num_var] / Weight[i];
}
else if (Weight[i] == 0 && myrank == 0)
{
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; d++)
for (int j = 0; j < dim; j++)
{
cout << XX[d][j];
if (d < dim - 1)
cout << XX[j][i];
if (j < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; d++)
for (int j = 0; j < dim; j++)
{
cout << bbox[d] << "+" << lli[d] * DH[d];
if (d < dim - 1)
cout << bbox[j] << "+" << lli[j] * getdX(j);
if (j < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; d++)
for (int j = 0; j < dim; j++)
{
cout << bbox[dim + d] << "-" << uui[d] * DH[d];
if (d < dim - 1)
cout << bbox[dim + j] << "-" << uui[j] * getdX(j);
if (j < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
j++;
continue;
}
// Find contiguous run of points with the same owner
int jstart = j;
while (j < NN && owner_rank[j] == cur_owner)
j++;
int count = (j - jstart) * num_var;
MPI_Bcast(Shellf + jstart * num_var, count, MPI_DOUBLE, cur_owner, MPI_COMM_WORLD);
}
}
delete[] owner_rank;
}
void Patch::Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry,
int Nmin_consumer, int Nmax_consumer)
#if 0
checkBlock();
#else
cout << "splited domains:" << endl;
{
// Targeted point-to-point overload: each owner sends each point only to
// the one rank that needs it for integration (consumer), reducing
// communication volume by ~nprocs times compared to the Bcast version.
/*
double t_calc_end, t_calc_total = 0;
double t_calc_start = MPI_Wtime();*/
int myrank, nprocs;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
int ordn = 2 * ghost_width;
MyList<var> *varl;
int num_var = 0;
varl = VarList;
while (varl)
{
num_var++;
varl = varl->next;
}
memset(Shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] records which MPI rank owns point j
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
double DH[dim], llb[dim], uub[dim];
for (int i = 0; i < dim; i++)
DH[i] = getdX(i);
// --- Interpolation phase (identical to original) ---
for (int j = 0; j < NN; j++)
{
double pox[dim];
for (int i = 0; i < dim; i++)
{
pox[i] = XX[i][j];
if (myrank == 0 && (XX[i][j] < bbox[i] + lli[i] * DH[i] || XX[i][j] > bbox[dim + i] - uui[i] * DH[i]))
{
cout << "Patch::Interp_Points: point (";
for (int k = 0; k < dim; k++)
{
cout << XX[k][j];
if (k < dim - 1)
cout << ",";
else
cout << ") is out of current Patch." << endl;
}
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
MyList<Block> *Bp = blb;
bool notfind = true;
while (notfind && Bp)
while (Bp)
{
Block *BP = Bp->data;
bool flag = true;
for (int i = 0; i < dim; i++)
{
#ifdef Vertex
@@ -580,251 +527,32 @@ void Patch::Interp_Points(MyList<var> *VarList,
#error Not define Vertex nor Cell
#endif
#endif
if (XX[i][j] - llb[i] < -DH[i] / 2 || XX[i][j] - uub[i] > DH[i] / 2)
{
flag = false;
break;
}
}
if (flag)
cout << "(";
for (int j = 0; j < dim; j++)
{
notfind = false;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
varl = VarList;
int k = 0;
while (varl)
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
}
cout << llb[j] << ":" << uub[j];
if (j < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
if (Bp == ble)
break;
Bp = Bp->next;
}
}
/*
t_calc_end = MPI_Wtime();
t_calc_total = t_calc_end - t_calc_start;*/
// --- Error check for unfound points ---
for (int j = 0; j < NN; j++)
{
if (owner_rank[j] < 0 && myrank == 0)
{
cout << "ERROR: Patch::Interp_Points fails to find point (";
for (int d = 0; d < dim; d++)
{
cout << XX[d][j];
if (d < dim - 1)
cout << ",";
else
cout << ")";
}
cout << " on Patch (";
for (int d = 0; d < dim; d++)
{
cout << bbox[d] << "+" << lli[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")--";
}
cout << "(";
for (int d = 0; d < dim; d++)
{
cout << bbox[dim + d] << "-" << uui[d] * DH[d];
if (d < dim - 1)
cout << ",";
else
cout << ")" << endl;
}
#endif
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
// --- Targeted point-to-point communication phase ---
// Compute consumer_rank[j] using the same deterministic formula as surface_integral
int *consumer_rank = new int[NN];
{
int mp = NN / nprocs;
int Lp = NN - nprocs * mp;
for (int j = 0; j < NN; j++)
{
if (j < Lp * (mp + 1))
consumer_rank[j] = j / (mp + 1);
else
consumer_rank[j] = Lp + (j - Lp * (mp + 1)) / mp;
}
}
// Count sends and recvs per rank
int *send_count = new int[nprocs];
int *recv_count = new int[nprocs];
memset(send_count, 0, sizeof(int) * nprocs);
memset(recv_count, 0, sizeof(int) * nprocs);
for (int j = 0; j < NN; j++)
{
int own = owner_rank[j];
int con = consumer_rank[j];
if (own == con)
continue; // local — no communication needed
if (own == myrank)
send_count[con]++;
if (con == myrank)
recv_count[own]++;
}
// Build send buffers: for each destination rank, pack (index, data) pairs
// Each entry: 1 int (point index j) + num_var doubles
int total_send = 0, total_recv = 0;
int *send_offset = new int[nprocs];
int *recv_offset = new int[nprocs];
for (int r = 0; r < nprocs; r++)
{
send_offset[r] = total_send;
total_send += send_count[r];
recv_offset[r] = total_recv;
total_recv += recv_count[r];
}
// Pack send buffers: each message contains (j, data[0..num_var-1]) per point
int stride = 1 + num_var; // 1 double for index + num_var doubles for data
double *sendbuf = new double[total_send * stride];
double *recvbuf = new double[total_recv * stride];
// Temporary counters for packing
int *pack_pos = new int[nprocs];
memset(pack_pos, 0, sizeof(int) * nprocs);
for (int j = 0; j < NN; j++)
{
int own = owner_rank[j];
int con = consumer_rank[j];
if (own != myrank || con == myrank)
continue;
int pos = (send_offset[con] + pack_pos[con]) * stride;
sendbuf[pos] = (double)j; // point index
for (int v = 0; v < num_var; v++)
sendbuf[pos + 1 + v] = Shellf[j * num_var + v];
pack_pos[con]++;
}
// Post non-blocking recvs and sends
int n_req = 0;
for (int r = 0; r < nprocs; r++)
{
if (recv_count[r] > 0) n_req++;
if (send_count[r] > 0) n_req++;
}
MPI_Request *reqs = new MPI_Request[n_req];
int req_idx = 0;
for (int r = 0; r < nprocs; r++)
{
if (recv_count[r] > 0)
{
MPI_Irecv(recvbuf + recv_offset[r] * stride,
recv_count[r] * stride, MPI_DOUBLE,
r, 0, MPI_COMM_WORLD, &reqs[req_idx++]);
}
}
for (int r = 0; r < nprocs; r++)
{
if (send_count[r] > 0)
{
MPI_Isend(sendbuf + send_offset[r] * stride,
send_count[r] * stride, MPI_DOUBLE,
r, 0, MPI_COMM_WORLD, &reqs[req_idx++]);
}
}
if (n_req > 0)
MPI_Waitall(n_req, reqs, MPI_STATUSES_IGNORE);
// Unpack recv buffers into Shellf
for (int i = 0; i < total_recv; i++)
{
int pos = i * stride;
int j = (int)recvbuf[pos];
for (int v = 0; v < num_var; v++)
Shellf[j * num_var + v] = recvbuf[pos + 1 + v];
}
delete[] reqs;
delete[] sendbuf;
delete[] recvbuf;
delete[] pack_pos;
delete[] send_offset;
delete[] recv_offset;
delete[] send_count;
delete[] recv_count;
delete[] consumer_rank;
delete[] owner_rank;
/*
// 4. 汇总并输出真正干活最慢的 Top 4
struct RankStats {
int rank;
double calc_time; // 净计算时间
};
// 创建当前进程的统计数据
RankStats local_stat;
local_stat.rank = myrank;
local_stat.calc_time = t_calc_total;
// 为所有进程的统计数据分配内存
RankStats *all_stats = nullptr;
if (myrank == 0) {
all_stats = new RankStats[nprocs];
}
// 使用MPI_Gather收集所有进程的数据到rank 0
MPI_Gather(&local_stat, sizeof(RankStats), MPI_BYTE,
all_stats, sizeof(RankStats), MPI_BYTE,
0, MPI_COMM_WORLD);
// 准备输出前4个rank的信息所有rank都参与确保广播后一致
int top10_ranks[10] = { -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 };
double top10_times[10] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
int num_top10 = 0;
if (myrank == 0) {
// 按 calc_time净计算时间排序
std::sort(all_stats, all_stats + nprocs, [](const RankStats& a, const RankStats& b) {
return a.calc_time > b.calc_time;
});
// 取前4个
num_top10 = (nprocs < 10) ? nprocs : 10;
for (int i = 0; i < num_top10; i++) {
top10_ranks[i] = all_stats[i].rank;
top10_times[i] = all_stats[i].calc_time;
}
printf("\n--- Top %d Ranks by ACTIVE COMPUTATION (CPU Time) ---\n", num_top10);
for (int i = 0; i < num_top10; i++) {
printf("Rank [%4d]: Calc %.6f s\n", top10_ranks[i], top10_times[i]);
}
// 清理分配的内存
delete[] all_stats;
}
// 广播前4个rank的信息给所有进程
MPI_Bcast(&num_top10, 1, MPI_INT, 0, MPI_COMM_WORLD);
if (num_top10 > 0) {
MPI_Bcast(top10_ranks, 10, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(top10_times, 10, MPI_DOUBLE, 0, MPI_COMM_WORLD);
}
*/
delete[] shellf;
delete[] weight;
delete[] Weight;
delete[] DH;
delete[] llb;
delete[] uub;
}
void Patch::Interp_Points(MyList<var> *VarList,
int NN, double **XX,
@@ -845,22 +573,24 @@ void Patch::Interp_Points(MyList<var> *VarList,
varl = varl->next;
}
memset(Shellf, 0, sizeof(double) * NN * num_var);
double *shellf;
shellf = new double[NN * num_var];
memset(shellf, 0, sizeof(double) * NN * num_var);
// owner_rank[j] stores the global rank that owns point j
int *owner_rank;
owner_rank = new int[NN];
for (int j = 0; j < NN; j++)
owner_rank[j] = -1;
// we use weight to monitor code, later some day we can move it for optimization
int *weight;
weight = new int[NN];
memset(weight, 0, sizeof(int) * NN);
// Build global-to-local rank translation for Comm_here
MPI_Group world_group, local_group;
MPI_Comm_group(MPI_COMM_WORLD, &world_group);
MPI_Comm_group(Comm_here, &local_group);
double *DH, *llb, *uub;
DH = new double[dim];
double DH[dim], llb[dim], uub[dim];
for (int i = 0; i < dim; i++)
{
DH[i] = getdX(i);
}
llb = new double[dim];
uub = new double[dim];
for (int j = 0; j < NN; j++) // run along points
{
@@ -892,6 +622,12 @@ void Patch::Interp_Points(MyList<var> *VarList,
bool flag = true;
for (int i = 0; i < dim; i++)
{
// NOTE: our dividing structure is (exclude ghost)
// -1 0
// 1 2
// so (0,1) does not belong to any part for vertex structure
// here we put (0,0.5) to left part and (0.5,1) to right part
// BUT for cell structure the bbox is (-1.5,0.5) and (0.5,2.5), there is no missing region at all
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
@@ -916,7 +652,6 @@ void Patch::Interp_Points(MyList<var> *VarList,
if (flag)
{
notfind = false;
owner_rank[j] = BP->rank;
if (myrank == BP->rank)
{
//---> interpolation
@@ -924,11 +659,14 @@ void Patch::Interp_Points(MyList<var> *VarList,
int k = 0;
while (varl) // run along variables
{
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], Shellf[j * num_var + k],
// shellf[j*num_var+k] = Parallel::global_interp(dim,BP->shape,BP->X,BP->fgfs[varl->data->sgfn],
// pox,ordn,varl->data->SoA,Symmetry);
f_global_interp(BP->shape, BP->X[0], BP->X[1], BP->X[2], BP->fgfs[varl->data->sgfn], shellf[j * num_var + k],
pox[0], pox[1], pox[2], ordn, varl->data->SoA, Symmetry);
varl = varl->next;
k++;
}
weight[j] = 1;
}
}
if (Bp == ble)
@@ -937,35 +675,97 @@ void Patch::Interp_Points(MyList<var> *VarList,
}
}
// Collect unique global owner ranks and translate to local ranks in Comm_here
// Then broadcast each owner's points via MPI_Bcast on Comm_here
{
int j = 0;
while (j < NN)
{
int cur_owner_global = owner_rank[j];
if (cur_owner_global < 0)
{
// Point not found — skip (error check disabled for sub-communicator levels)
j++;
continue;
}
// Translate global rank to local rank in Comm_here
int cur_owner_local;
MPI_Group_translate_ranks(world_group, 1, &cur_owner_global, local_group, &cur_owner_local);
MPI_Allreduce(shellf, Shellf, NN * num_var, MPI_DOUBLE, MPI_SUM, Comm_here);
int *Weight;
Weight = new int[NN];
MPI_Allreduce(weight, Weight, NN, MPI_INT, MPI_SUM, Comm_here);
// Find contiguous run of points with the same owner
int jstart = j;
while (j < NN && owner_rank[j] == cur_owner_global)
j++;
int count = (j - jstart) * num_var;
MPI_Bcast(Shellf + jstart * num_var, count, MPI_DOUBLE, cur_owner_local, Comm_here);
// misc::tillherecheck("print me");
// if(lmyrank == 0) cout<<"myrank = "<<myrank<<"print me"<<endl;
for (int i = 0; i < NN; i++)
{
if (Weight[i] > 1)
{
if (lmyrank == 0)
cout << "WARNING: Patch::Interp_Points meets multiple weight" << endl;
for (int j = 0; j < num_var; j++)
Shellf[j + i * num_var] = Shellf[j + i * num_var] / Weight[i];
}
#if 0 // for not involved levels, this may fail
else if(Weight[i] == 0 && lmyrank == 0)
{
cout<<"ERROR: Patch::Interp_Points fails to find point (";
for(int j=0;j<dim;j++)
{
cout<<XX[j][i];
if(j<dim-1) cout<<",";
else cout<<")";
}
cout<<" on Patch (";
for(int j=0;j<dim;j++)
{
cout<<bbox[j]<<"+"<<lli[j]*getdX(j);
if(j<dim-1) cout<<",";
else cout<<")--";
}
cout<<"(";
for(int j=0;j<dim;j++)
{
cout<<bbox[dim+j]<<"-"<<uui[j]*getdX(j);
if(j<dim-1) cout<<",";
else cout<<")"<<endl;
}
#if 0
checkBlock();
#else
cout<<"splited domains:"<<endl;
{
MyList<Block> *Bp=blb;
while(Bp)
{
Block *BP=Bp->data;
for(int i=0;i<dim;i++)
{
#ifdef Vertex
#ifdef Cell
#error Both Cell and Vertex are defined
#endif
llb[i] = (feq(BP->bbox[i] ,bbox[i] ,DH[i]/2)) ? BP->bbox[i]+lli[i]*DH[i] : BP->bbox[i] +(ghost_width-0.5)*DH[i];
uub[i] = (feq(BP->bbox[dim+i],bbox[dim+i],DH[i]/2)) ? BP->bbox[dim+i]-uui[i]*DH[i] : BP->bbox[dim+i]-(ghost_width-0.5)*DH[i];
#else
#ifdef Cell
llb[i] = (feq(BP->bbox[i] ,bbox[i] ,DH[i]/2)) ? BP->bbox[i]+lli[i]*DH[i] : BP->bbox[i] +ghost_width*DH[i];
uub[i] = (feq(BP->bbox[dim+i],bbox[dim+i],DH[i]/2)) ? BP->bbox[dim+i]-uui[i]*DH[i] : BP->bbox[dim+i]-ghost_width*DH[i];
#else
#error Not define Vertex nor Cell
#endif
#endif
}
cout<<"(";
for(int j=0;j<dim;j++)
{
cout<<llb[j]<<":"<<uub[j];
if(j<dim-1) cout<<",";
else cout<<")"<<endl;
}
if(Bp == ble) break;
Bp=Bp->next;
}
}
#endif
MPI_Abort(MPI_COMM_WORLD,1);
}
#endif
}
MPI_Group_free(&world_group);
MPI_Group_free(&local_group);
delete[] owner_rank;
delete[] shellf;
delete[] weight;
delete[] Weight;
delete[] DH;
delete[] llb;
delete[] uub;
}
void Patch::checkBlock()
{

View File

@@ -39,10 +39,6 @@ public:
bool Find_Point(double *XX);
void Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry,
int Nmin_consumer, int Nmax_consumer);
void Interp_Points(MyList<var> *VarList,
int NN, double **XX,
double *Shellf, int Symmetry, MPI_Comm Comm_here);

View File

@@ -24,7 +24,6 @@ using namespace std;
#endif
#include <mpi.h>
#include <memory.h>
#include "MyList.h"
#include "Block.h"
#include "Parallel.h"

File diff suppressed because it is too large Load Diff

View File

@@ -11,7 +11,7 @@
#include <cmath>
#include <new>
using namespace std;
#include <memory.h>
#include "Parallel_bam.h"
#include "var.h"
#include "MPatch.h"
@@ -32,16 +32,6 @@ namespace Parallel
int partition2(int *nxy, int split_size, int *min_width, int cpusize, int *shape); // special for 2 diemnsions
int partition3(int *nxyz, int split_size, int *min_width, int cpusize, int *shape);
MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks
MyList<Block> *distribute_hard(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfs, bool periodic, int nodes = 0); // produce corresponding Blocks
Block* splitHotspotBlock(MyList<Block>* &BlL, int _dim,
int ib0_orig, int ib3_orig,
int jb1_orig, int jb4_orig,
int kb2_orig, int kb5_orig,
Patch* PP, int r_left, int r_right,
int ingfsi, int fngfsi, bool periodic,
Block* &split_first_block, Block* &split_last_block);
Block* createMappedBlock(MyList<Block>* &BlL, int _dim, int* shape, double* bbox,
int block_id, int ingfsi, int fngfsi, int lev);
void KillBlocks(MyList<Patch> *PatchLIST);
void setfunction(MyList<Block> *BlL, var *vn, double func(double x, double y, double z));
@@ -91,43 +81,6 @@ namespace Parallel
int Symmetry);
void Sync(Patch *Pat, MyList<var> *VarList, int Symmetry);
void Sync(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
void Sync_merged(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry);
struct SyncCache {
bool valid;
int cpusize;
MyList<gridseg> **combined_src;
MyList<gridseg> **combined_dst;
int *send_lengths;
int *recv_lengths;
double **send_bufs;
double **recv_bufs;
int *send_buf_caps;
int *recv_buf_caps;
MPI_Request *reqs;
MPI_Status *stats;
int max_reqs;
bool lengths_valid;
SyncCache();
void invalidate();
void destroy();
};
void Sync_cached(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry, SyncCache &cache);
void transfer_cached(MyList<gridseg> **src, MyList<gridseg> **dst,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
struct AsyncSyncState {
int req_no;
bool active;
AsyncSyncState() : req_no(0), active(false) {}
};
void Sync_start(MyList<Patch> *PatL, MyList<var> *VarList, int Symmetry,
SyncCache &cache, AsyncSyncState &state);
void Sync_finish(SyncCache &cache, AsyncSyncState &state,
MyList<var> *VarList, int Symmetry);
void OutBdLow2Hi(Patch *Patc, Patch *Patf,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
@@ -140,15 +93,6 @@ namespace Parallel
void OutBdLow2Himix(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
void Restrict_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
void OutBdLow2Hi_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
void OutBdLow2Himix_cached(MyList<Patch> *PatcL, MyList<Patch> *PatfL,
MyList<var> *VarList1, MyList<var> *VarList2,
int Symmetry, SyncCache &cache);
void Prolong(Patch *Patc, Patch *Patf,
MyList<var> *VarList1 /* source */, MyList<var> *VarList2 /* target */,
int Symmetry);
@@ -218,18 +162,6 @@ namespace Parallel
#if (PSTR == 1 || PSTR == 2 || PSTR == 3)
MyList<Block> *distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfsi,
bool periodic, int start_rank, int end_rank, int nodes = 0);
// Redistribute blocks with time statistics for load balancing
MyList<Block> *distribute(MyList<Patch> *PatchLIST, MyList<Block> *OldBlockL,
int cpusize, int ingfsi, int fngfsi,
bool periodic, int start_rank, int end_rank, int nodes = 0);
#endif
// Dynamic load balancing: split blocks for heavy ranks
void split_heavy_blocks(MyList<Patch> *PatL, int *heavy_ranks, int num_heavy,
int split_factor, int cpusize, int ingfsi, int fngfsi);
// Check if load balancing is needed based on interpolation times
bool check_load_balance_need(double *rank_times, int nprocs, int &num_heavy, int *heavy_ranks);
}
#endif /*PARALLEL_H */

File diff suppressed because it is too large Load Diff

View File

@@ -1,8 +1,7 @@
#ifndef TWO_PUNCTURES_H
#define TWO_PUNCTURES_H
#include <omp.h>
#define StencilSize 19
#define N_PlaneRelax 1
#define NRELAX 200
@@ -43,17 +42,32 @@ private:
int ntotal;
// ===== Precomputed spectral derivative matrices =====
double *D1_A, *D2_A;
double *D1_B, *D2_B;
double *DF1_phi, *DF2_phi;
// ===== Pre-allocated workspace for LineRelax (per-thread) =====
int max_threads;
double **ws_diag_be, **ws_e_be, **ws_f_be, **ws_b_be, **ws_x_be;
double **ws_l_be, **ws_u_be, **ws_d_be, **ws_y_be;
double **ws_diag_al, **ws_e_al, **ws_f_al, **ws_b_al, **ws_x_al;
double **ws_l_al, **ws_u_al, **ws_d_al, **ws_y_al;
// Pre-allocated workspace buffers for hot-path allocation elimination
// LineRelax_be workspace (sized for n2)
double *ws_diag_be, *ws_e_be, *ws_f_be, *ws_b_be, *ws_x_be;
// LineRelax_al workspace (sized for n1)
double *ws_diag_al, *ws_e_al, *ws_f_al, *ws_b_al, *ws_x_al;
// ThomasAlgorithm workspace (sized for max(n1,n2))
double *ws_thomas_y;
// JFD_times_dv workspace (sized for nvar)
double *ws_jfd_values;
derivs ws_jfd_dU, ws_jfd_U;
// chebft_Zeros workspace (sized for max(n1,n2,n3)+1)
double *ws_cheb_c;
// fourft workspace (sized for max(n1,n2,n3)/2+1 each)
double *ws_four_a, *ws_four_b;
// Derivatives_AB3 workspace
double *ws_deriv_p, *ws_deriv_dp, *ws_deriv_d2p;
double *ws_deriv_q, *ws_deriv_dq;
double *ws_deriv_r, *ws_deriv_dr;
int *ws_deriv_indx;
// F_of_v workspace
double *ws_fov_sources;
double *ws_fov_values;
derivs ws_fov_U;
// J_times_dv workspace
double *ws_jtdv_values;
derivs ws_jtdv_dU, ws_jtdv_U;
struct parameters
{
@@ -71,28 +85,6 @@ public:
int Newtonmaxit);
~TwoPunctures();
// 02/07: New/modified methods
void allocate_workspace();
void free_workspace();
void precompute_derivative_matrices();
void build_cheb_deriv_matrices(int n, double *D1, double *D2);
void build_fourier_deriv_matrices(int N, double *DF1, double *DF2);
void Derivatives_AB3_MatMul(int nvar, int n1, int n2, int n3, derivs v);
void ThomasAlgorithm_ws(int N, double *b, double *a, double *c, double *x, double *q,
double *l, double *u_ws, double *d, double *y);
void LineRelax_be_omp(double *dv,
int const i, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols,
double **JFD, int tid);
void LineRelax_al_omp(double *dv,
int const j, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols,
int **cols, double **JFD, int tid);
void relax_omp(double *dv, int const nvar, int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols, double **JFD);
void Solve();
void set_initial_guess(derivs v);
int index(int i, int j, int k, int l, int a, int b, int c, int d);
@@ -151,11 +143,23 @@ public:
double BY_KKofxyz(double x, double y, double z);
void SetMatrix_JFD(int nvar, int n1, int n2, int n3, derivs u, int *ncols, int **cols, double **Matrix);
void J_times_dv(int nvar, int n1, int n2, int n3, derivs dv, double *Jdv, derivs u);
void relax(double *dv, int const nvar, int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols, double **JFD);
void LineRelax_be(double *dv,
int const i, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols, int **cols,
double **JFD);
void JFD_times_dv(int i, int j, int k, int nvar, int n1, int n2,
int n3, derivs dv, derivs u, double *values);
void LinEquations(double A, double B, double X, double R,
double x, double r, double phi,
double y, double z, derivs dU, derivs U, double *values);
void LineRelax_al(double *dv,
int const j, int const k, int const nvar,
int const n1, int const n2, int const n3,
double const *rhs, int const *ncols,
int **cols, double **JFD);
void ThomasAlgorithm(int N, double *b, double *a, double *c, double *x, double *q);
void Save(char *fname);
// provided by Vasileios Paschalidis (vpaschal@illinois.edu)

View File

@@ -730,12 +730,6 @@ void bssn_class::Initialize()
PhysTime = StartTime;
Setup_Black_Hole_position();
}
// Initialize sync caches (per-level, for predictor and corrector)
sync_cache_pre = new Parallel::SyncCache[GH->levels];
sync_cache_cor = new Parallel::SyncCache[GH->levels];
sync_cache_rp_coarse = new Parallel::SyncCache[GH->levels];
sync_cache_rp_fine = new Parallel::SyncCache[GH->levels];
}
//================================================================================================
@@ -987,32 +981,6 @@ bssn_class::~bssn_class()
delete Azzz;
#endif
// Destroy sync caches before GH
if (sync_cache_pre)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_pre[i].destroy();
delete[] sync_cache_pre;
}
if (sync_cache_cor)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_cor[i].destroy();
delete[] sync_cache_cor;
}
if (sync_cache_rp_coarse)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_rp_coarse[i].destroy();
delete[] sync_cache_rp_coarse;
}
if (sync_cache_rp_fine)
{
for (int i = 0; i < GH->levels; i++)
sync_cache_rp_fine[i].destroy();
delete[] sync_cache_rp_fine;
}
delete GH;
#ifdef WithShell
delete SH;
@@ -2213,7 +2181,6 @@ void bssn_class::Evolve(int Steps)
GH->Regrid(Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_mon, StartTime, dT_mon / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif
#if (REGLEV == 0 && (PSTR == 1 || PSTR == 2))
@@ -2429,7 +2396,6 @@ void bssn_class::RecursiveStep(int lev)
GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif
}
@@ -2608,7 +2574,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
#endif
}
@@ -2775,7 +2740,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_levp1, StartTime, dT_levp1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear();
// a_stream.str("");
@@ -2790,7 +2754,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear();
// a_stream.str("");
@@ -2809,7 +2772,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear();
// a_stream.str("");
@@ -2825,7 +2787,6 @@ void bssn_class::ParallelStep()
GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
SynchList_cor, OldStateList, StateList, SynchList_pre,
fgt(PhysTime - dT_lev, StartTime, dT_levm1 / 2), ErrorMonitor);
for (int il = 0; il < GH->levels; il++) { sync_cache_pre[il].invalidate(); sync_cache_cor[il].invalidate(); sync_cache_rp_coarse[il].invalidate(); sync_cache_rp_fine[il].invalidate(); }
// a_stream.clear();
// a_stream.str("");
@@ -3197,7 +3158,21 @@ void bssn_class::Step(int lev, int YN)
}
Pp = Pp->next;
}
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls
// check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime << ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
@@ -3341,16 +3316,25 @@ void bssn_class::Step(int lev, int YN)
#endif
}
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
Parallel::AsyncSyncState async_pre;
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -3369,23 +3353,6 @@ void bssn_class::Step(int lev, int YN)
}
}
#endif
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime << ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
#if (MAPBH == 0)
// for black hole position
@@ -3561,7 +3528,24 @@ void bssn_class::Step(int lev, int YN)
Pp = Pp->next;
}
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls
// check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
@@ -3701,16 +3685,26 @@ void bssn_class::Step(int lev, int YN)
sPp = sPp->next;
}
}
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req_cor;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#"
<< iter_count << " variables at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
Parallel::AsyncSyncState async_cor;
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -3729,25 +3723,6 @@ void bssn_class::Step(int lev, int YN)
}
}
#endif
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
#if (MAPBH == 0)
// for black hole position
@@ -4059,7 +4034,22 @@ void bssn_class::Step(int lev, int YN)
}
Pp = Pp->next;
}
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls
// check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
@@ -4200,16 +4190,25 @@ void bssn_class::Step(int lev, int YN)
}
#endif
}
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = "
<< PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
Parallel::AsyncSyncState async_pre;
Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -4228,24 +4227,6 @@ void bssn_class::Step(int lev, int YN)
}
}
#endif
Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
@@ -4405,7 +4386,23 @@ void bssn_class::Step(int lev, int YN)
Pp = Pp->next;
}
// NOTE: error check deferred to after Shell Patch computation to reduce MPI_Allreduce calls
// check error information
{
int erh = ERROR;
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#ifdef WithShell
// evolve Shell Patches
@@ -4545,16 +4542,25 @@ void bssn_class::Step(int lev, int YN)
sPp = sPp->next;
}
}
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req_cor;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
Parallel::AsyncSyncState async_cor;
Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
#ifdef WithShell
if (lev == 0)
@@ -4572,25 +4578,6 @@ void bssn_class::Step(int lev, int YN)
<< " seconds! " << endl;
}
}
#endif
Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry);
#ifdef WithShell
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime
<< ", lev = " << lev << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
#endif
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
@@ -4956,19 +4943,11 @@ void bssn_class::Step(int lev, int YN)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Predictor rhs calculation");
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev], &err_req);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev]);
}
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor sync");
Parallel::Sync_cached(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev]);
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], StateList, 0, PhysTime, dT_lev);
@@ -4980,6 +4959,10 @@ void bssn_class::Step(int lev, int YN)
}
}
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor sync");
Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
#if (MAPBH == 0)
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
@@ -5157,21 +5140,11 @@ void bssn_class::Step(int lev, int YN)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector error check");
// Non-blocking error reduction overlapped with Sync to hide Allreduce latency
MPI_Request err_req_cor;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev], &err_req_cor);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, GH->Commlev[lev]);
}
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector sync");
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev]);
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Corrector sync");
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
Parallel::Dump_Data(GH->PatL[lev], SynchList_pre, 0, PhysTime, dT_lev);
@@ -5185,6 +5158,12 @@ void bssn_class::Step(int lev, int YN)
}
}
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Corrector sync");
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"after Corrector sync");
#if (MAPBH == 0)
// for black hole position
if (BH_num > 0 && lev == GH->levels - 1)
@@ -5468,11 +5447,21 @@ void bssn_class::SHStep()
#if (PSTR == 1 || PSTR == 2)
// misc::tillherecheck(GH->Commlev[lev],GH->start_rank[lev],"before Predictor's error check");
#endif
// Non-blocking error reduction overlapped with Synch to hide Allreduce latency
MPI_Request err_req;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
{
@@ -5490,19 +5479,6 @@ void bssn_class::SHStep()
}
}
// Complete non-blocking error reduction and check
MPI_Wait(&err_req, MPI_STATUS_IGNORE);
if (ERROR)
{
SH->Dump_Data(StateList, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN in state variables on Shell Patches at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
// corrector
for (iter_count = 1; iter_count < 4; iter_count++)
{
@@ -5645,11 +5621,21 @@ void bssn_class::SHStep()
sPp = sPp->next;
}
}
// Non-blocking error reduction overlapped with Synch to hide Allreduce latency
MPI_Request err_req_cor;
// check error information
{
int erh = ERROR;
MPI_Iallreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD, &err_req_cor);
MPI_Allreduce(&erh, &ERROR, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);
}
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
{
@@ -5667,20 +5653,6 @@ void bssn_class::SHStep()
}
}
// Complete non-blocking error reduction and check
MPI_Wait(&err_req_cor, MPI_STATUS_IGNORE);
if (ERROR)
{
SH->Dump_Data(SynchList_pre, 0, PhysTime, dT_lev);
if (myrank == 0)
{
if (ErrorMonitor->outfile)
ErrorMonitor->outfile << "find NaN on Shell Patches in RK4 substep#" << iter_count
<< " variables at t = " << PhysTime << endl;
MPI_Abort(MPI_COMM_WORLD, 1);
}
}
sPp = SH->PatL;
while (sPp)
{
@@ -5809,7 +5781,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
// misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str());
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (PSTR == 1 || PSTR == 2)
// a_stream.clear();
@@ -5819,11 +5791,21 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry);
@@ -5860,7 +5842,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
// misc::tillherecheck(GH->Commlev[GH->mylev],GH->start_rank[GH->mylev],a_stream.str());
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], SL, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], SL, Symmetry);
#if (PSTR == 1 || PSTR == 2)
// a_stream.clear();
@@ -5870,11 +5852,21 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SL, SL, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SL, SL, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry);
@@ -5888,7 +5880,7 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB,
#endif
}
Parallel::Sync_cached(GH->PatL[lev], SL, Symmetry, sync_cache_rp_fine[lev]);
Parallel::Sync(GH->PatL[lev], SL, Symmetry);
#if (PSTR == 1 || PSTR == 2)
// a_stream.clear();
@@ -5946,14 +5938,24 @@ void bssn_class::RestrictProlong_aux(int lev, int YN, bool BB,
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SynchList_pre, GH->rsul[lev], Symmetry);
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SL, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SL, GH->bdsul[lev], Symmetry);
@@ -5968,21 +5970,31 @@ void bssn_class::RestrictProlong_aux(int lev, int YN, bool BB,
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->rsul[lev], Symmetry);
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], SL, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], SL, Symmetry);
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SL, SL, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SL, SL, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SL,SL,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SL, SL, GH->bdsul[lev], Symmetry);
#endif
}
Parallel::Sync_cached(GH->PatL[lev], SL, Symmetry, sync_cache_rp_fine[lev]);
Parallel::Sync(GH->PatL[lev], SL, Symmetry);
}
}
@@ -6033,14 +6045,24 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB)
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, SynchList_pre, GH->rsul[lev], Symmetry);
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], SynchList_pre, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], SynchList_pre, Symmetry);
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6057,21 +6079,31 @@ void bssn_class::RestrictProlong(int lev, int YN, bool BB)
Parallel::Restrict_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, GH->rsul[lev], Symmetry);
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], StateList, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], StateList, Symmetry);
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry);
#endif
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_rp_fine[lev]);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
}
}
@@ -6101,11 +6133,21 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
}
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, SynchList_pre, SynchList_cor, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],SynchList_pre,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], SynchList_pre, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6114,11 +6156,21 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
else // no time refinement levels and for all same time levels
{
#if (RPB == 0)
Ppc = GH->PatL[lev - 1];
while (Ppc)
{
Pp = GH->PatL[lev];
while (Pp)
{
#if (MIXOUTB == 0)
Parallel::OutBdLow2Hi(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry);
Parallel::OutBdLow2Hi(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#elif (MIXOUTB == 1)
Parallel::OutBdLow2Himix(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, Symmetry);
Parallel::OutBdLow2Himix(Ppc->data, Pp->data, StateList, SynchList_cor, Symmetry);
#endif
Pp = Pp->next;
}
Ppc = Ppc->next;
}
#elif (RPB == 1)
// Parallel::OutBdLow2Hi_bam(GH->PatL[lev-1],GH->PatL[lev],StateList,SynchList_cor,Symmetry);
Parallel::OutBdLow2Hi_bam(GH->PatL[lev - 1], GH->PatL[lev], StateList, SynchList_cor, GH->bdsul[lev], Symmetry);
@@ -6134,10 +6186,10 @@ void bssn_class::ProlongRestrict(int lev, int YN, bool BB)
#else
Parallel::Restrict_after(GH->PatL[lev - 1], GH->PatL[lev], SynchList_cor, StateList, Symmetry);
#endif
Parallel::Sync_cached(GH->PatL[lev - 1], StateList, Symmetry, sync_cache_rp_coarse[lev]);
Parallel::Sync(GH->PatL[lev - 1], StateList, Symmetry);
}
Parallel::Sync_cached(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_rp_fine[lev]);
Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
}
}
#undef MIXOUTB

View File

@@ -126,11 +126,6 @@ public:
MyList<var> *OldStateList, *DumpList;
MyList<var> *ConstraintList;
Parallel::SyncCache *sync_cache_pre; // per-level cache for predictor sync
Parallel::SyncCache *sync_cache_cor; // per-level cache for corrector sync
Parallel::SyncCache *sync_cache_rp_coarse; // RestrictProlong sync on PatL[lev-1]
Parallel::SyncCache *sync_cache_rp_fine; // RestrictProlong sync on PatL[lev]
monitor *ErrorMonitor, *Psi4Monitor, *BHMonitor, *MAPMonitor;
monitor *ConVMonitor;
surface_integral *Waveshell;

View File

@@ -168,6 +168,8 @@
call fderivs(ex,gyz,gyzx,gyzy,gyzz,X,Y,Z,SYM ,ANTI,ANTI,Symmetry,Lev)
call fderivs(ex,dzz,gzzx,gzzy,gzzz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev)
!$OMP PARALLEL
!$OMP WORKSHARE
gxx_rhs = - TWO * alpn1 * Axx - F2o3 * gxx * div_beta + &
TWO *( gxx * betaxx + gxy * betayx + gxz * betazx)
@@ -201,6 +203,8 @@
gupyy = ( gxx * gzz - gxz * gxz ) / gupzz
gupyz = - ( gxx * gyz - gxy * gxz ) / gupzz
gupzz = ( gxx * gyy - gxy * gxy ) / gupzz
!$OMP END WORKSHARE
!$OMP END PARALLEL
if(co == 0)then
! Gam^i_Res = Gam^i + gup^ij_,j
@@ -234,6 +238,8 @@
endif
! second kind of connection
!$OMP PARALLEL
!$OMP WORKSHARE
Gamxxx =HALF*( gupxx*gxxx + gupxy*(TWO*gxyx - gxxy ) + gupxz*(TWO*gxzx - gxxz ))
Gamyxx =HALF*( gupxy*gxxx + gupyy*(TWO*gxyx - gxxy ) + gupyz*(TWO*gxzx - gxxz ))
Gamzxx =HALF*( gupxz*gxxx + gupyz*(TWO*gxyx - gxxy ) + gupzz*(TWO*gxzx - gxxz ))
@@ -282,6 +288,8 @@
(gupxy * gupyz + gupyy * gupxz)* Axy + &
(gupxy * gupzz + gupyz * gupxz)* Axz + &
(gupyy * gupzz + gupyz * gupyz)* Ayz
!$OMP END WORKSHARE
!$OMP END PARALLEL
! Right hand side for Gam^i without shift terms...
call fderivs(ex,Lap,Lapx,Lapy,Lapz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
@@ -336,6 +344,8 @@
call fderivs(ex,Gamy,Gamyx,Gamyy,Gamyz,X,Y,Z,SYM ,ANTI,SYM ,Symmetry,Lev)
call fderivs(ex,Gamz,Gamzx,Gamzy,Gamzz,X,Y,Z,SYM ,SYM ,ANTI,Symmetry,Lev)
!$OMP PARALLEL
!$OMP WORKSHARE
Gamx_rhs = Gamx_rhs + F2o3 * Gamxa * div_beta - &
Gamxa * betaxx - Gamya * betaxy - Gamza * betaxz + &
F1o3 * (gupxx * fxx + gupxy * fxy + gupxz * fxz ) + &
@@ -375,6 +385,8 @@
gyyz = gxz * Gamxyy + gyz * Gamyyy + gzz * Gamzyy
gyzz = gxz * Gamxyz + gyz * Gamyyz + gzz * Gamzyz
gzzz = gxz * Gamxzz + gyz * Gamyzz + gzz * Gamzzz
!$OMP END WORKSHARE
!$OMP END PARALLEL
!compute Ricci tensor for tilted metric
call fdderivs(ex,dxx,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM ,SYM ,SYM ,symmetry,Lev)
@@ -401,6 +413,8 @@
Ryz = gupxx * fxx + gupyy * fyy + gupzz * fzz + &
( gupxy * fxy + gupxz * fxz + gupyz * fyz ) * TWO
!$OMP PARALLEL
!$OMP WORKSHARE
Rxx = - HALF * Rxx + &
gxx * Gamxx+ gxy * Gamyx + gxz * Gamzx + &
Gamxa * gxxx + Gamya * gxyx + Gamza * gxzx + &
@@ -601,9 +615,13 @@
Gamxyz * gxzz + Gamyyz * gyzz + Gamzyz * gzzz + &
Gamxzz * gxzy + Gamyzz * gyzy + Gamzzz * gzzy + &
Gamxyz * gzzx + Gamyyz * gzzy + Gamzyz * gzzz )
!$OMP END WORKSHARE
!$OMP END PARALLEL
!covariant second derivative of chi respect to tilted metric
call fdderivs(ex,chi,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM,SYM,SYM,Symmetry,Lev)
!$OMP PARALLEL
!$OMP WORKSHARE
fxx = fxx - Gamxxx * chix - Gamyxx * chiy - Gamzxx * chiz
fxy = fxy - Gamxxy * chix - Gamyxy * chiy - Gamzxy * chiz
fxz = fxz - Gamxxz * chix - Gamyxz * chiy - Gamzxz * chiz
@@ -626,11 +644,15 @@
Rxy = Rxy + (fxy - chix*chiy/chin1/TWO + gxy * f)/chin1/TWO
Rxz = Rxz + (fxz - chix*chiz/chin1/TWO + gxz * f)/chin1/TWO
Ryz = Ryz + (fyz - chiy*chiz/chin1/TWO + gyz * f)/chin1/TWO
!$OMP END WORKSHARE
!$OMP END PARALLEL
! covariant second derivatives of the lapse respect to physical metric
call fdderivs(ex,Lap,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z, &
SYM,SYM,SYM,symmetry,Lev)
!$OMP PARALLEL
!$OMP WORKSHARE
gxxx = (gupxx * chix + gupxy * chiy + gupxz * chiz)/chin1
gxxy = (gupxy * chix + gupyy * chiy + gupyz * chiz)/chin1
gxxz = (gupxz * chix + gupyz * chiy + gupzz * chiz)/chin1
@@ -791,6 +813,8 @@
!!!! gauge variable part
Lap_rhs = -TWO*alpn1*trK
!$OMP END WORKSHARE
!$OMP END PARALLEL
#if (GAUGE == 0)
betax_rhs = FF*dtSfx
betay_rhs = FF*dtSfy
@@ -945,60 +969,103 @@
SSA(2)=SYM
SSA(3)=ANTI
!!!!!!!!!advection term + Kreiss-Oliger dissipation (merged for cache efficiency)
! lopsided_kodis shares the symmetry_bd buffer between advection and
! dissipation, eliminating redundant full-grid copies. For metric variables
! gxx/gyy/gzz (=dxx/dyy/dzz+1): kodis stencil coefficients sum to zero,
! so the constant offset has no effect on dissipation.
!!!!!!!!!advection term part
call lopsided_kodis(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS,eps)
call lopsided_kodis(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA,eps)
call lopsided_kodis(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA,eps)
call lopsided_kodis(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS,eps)
call lopsided_kodis(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA,eps)
call lopsided_kodis(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA,eps)
call lopsided_kodis(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS)
call lopsided(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA)
call lopsided(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA)
call lopsided(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided_kodis(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS,eps)
call lopsided(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS)
call lopsided_kodis(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#if 1
!! bam does not apply dissipation on gauge variables
call lopsided_kodis(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS,eps)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided_kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS,eps)
call lopsided_kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA,eps)
#endif
#else
! No dissipation on gauge variables (advection only)
call lopsided(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA)
!!
call lopsided(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS)
#if (GAUGE == 0 || GAUGE == 1 || GAUGE == 2 || GAUGE == 3 || GAUGE == 4 || GAUGE == 5 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call lopsided(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS)
call lopsided(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS)
call lopsided(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA)
#endif
if(eps>0)then
! usual Kreiss-Oliger dissipation
call kodis(ex,X,Y,Z,chi,chi_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,trK,trK_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,dxx,gxx_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxy,gxy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,gxz,gxz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,dyy,gyy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,gyz,gyz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,dzz,gzz_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "before",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif
call kodis(ex,X,Y,Z,Axx,Axx_rhs,SSS,Symmetry,eps)
#if 0
#define i 42
#define j 40
#define k 40
if(Lev == 1)then
write(*,*) X(i),Y(j),Z(k)
write(*,*) "after",Axx_rhs(i,j,k)
endif
#undef i
#undef j
#undef k
!!stop
#endif
call kodis(ex,X,Y,Z,Axy,Axy_rhs,AAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Axz,Axz_rhs,ASA,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayy,Ayy_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Ayz,Ayz_rhs,SAA,Symmetry,eps)
call kodis(ex,X,Y,Z,Azz,Azz_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamx,Gamx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamy,Gamy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,Gamz,Gamz_rhs,SSA,Symmetry,eps)
#if 1
!! bam does not apply dissipation on gauge variables
call kodis(ex,X,Y,Z,Lap,Lap_rhs,SSS,Symmetry,eps)
call kodis(ex,X,Y,Z,betax,betax_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,betay,betay_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,betaz,betaz_rhs,SSA,Symmetry,eps)
#if (GAUGE == 0 || GAUGE == 2 || GAUGE == 3 || GAUGE == 6 || GAUGE == 7)
call kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,ASS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,SAS,Symmetry,eps)
call kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,SSA,Symmetry,eps)
#endif
#endif
endif
if(co == 0)then
! ham_Res = trR + 2/3 * K^2 - A_ij * A^ij - 16 * PI * rho

View File

@@ -43,14 +43,6 @@ cgh::cgh(int ingfsi, int fngfsi, int Symmetry, char *filename, int checkrun,
end_rank = 0;
#endif
// Initialize load balancing variables
enable_load_balance = false;
load_balance_check_interval = 10; // Check every 10 time steps
current_time_step = 0;
rank_interp_times = nullptr;
heavy_ranks = nullptr;
num_heavy_ranks = 0;
if (!checkrun)
{
read_bbox(Symmetry, filename);
@@ -121,12 +113,6 @@ cgh::~cgh()
delete[] Porgls[lev];
}
delete[] Porgls;
// Clean up load balancing memory
if (rank_interp_times)
delete[] rank_interp_times;
if (heavy_ranks)
delete[] heavy_ranks;
}
//================================================================================================
@@ -144,7 +130,7 @@ void cgh::compose_cgh(int nprocs)
for (int lev = 0; lev < levels; lev++)
{
checkPatchList(PatL[lev], false);
Parallel::distribute_hard(PatL[lev], nprocs, ingfs, fngfs, false);
Parallel::distribute(PatL[lev], nprocs, ingfs, fngfs, false);
#if (RPB == 1)
// we need distributed box of PatL[lev] and PatL[lev-1]
if (lev > 0)
@@ -1719,121 +1705,3 @@ void cgh::settrfls(const int lev)
{
trfls = lev;
}
//================================================================================================
// Load Balancing Functions
//================================================================================================
// Initialize load balancing
void cgh::init_load_balance(int nprocs)
{
if (rank_interp_times)
delete[] rank_interp_times;
if (heavy_ranks)
delete[] heavy_ranks;
rank_interp_times = new double[nprocs];
heavy_ranks = new int[4]; // Maximum 4 heavy ranks
num_heavy_ranks = 0;
for (int i = 0; i < nprocs; i++)
rank_interp_times[i] = 0.0;
}
// Update interpolation time for a rank
void cgh::update_interp_time(int rank, double time)
{
if (rank_interp_times && rank >= 0)
{
rank_interp_times[rank] = time;
}
}
// Check and perform load balancing if needed
bool cgh::check_and_rebalance(int nprocs, int lev,
MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB)
{
int myrank;
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
// Only check at specified intervals
current_time_step++;
if (current_time_step % load_balance_check_interval != 0)
return false;
if (myrank == 0)
{
cout << "\n=== Checking load balance at time step " << current_time_step << " ===" << endl;
}
// Collect all rank times on rank 0
double *all_times = nullptr;
if (myrank == 0)
{
all_times = new double[nprocs];
}
MPI_Gather(rank_interp_times, 1, MPI_DOUBLE, all_times, 1, MPI_DOUBLE, 0, MPI_COMM_WORLD);
bool need_rebalance = false;
if (myrank == 0)
{
// Check if load balancing is needed
need_rebalance = Parallel::check_load_balance_need(all_times, nprocs, num_heavy_ranks, heavy_ranks);
if (need_rebalance)
{
cout << "=== Load imbalance detected! Need to rebalance ===" << endl;
cout << "Top " << num_heavy_ranks << " heavy ranks: ";
for (int i = 0; i < num_heavy_ranks; i++)
{
cout << heavy_ranks[i] << " (" << all_times[heavy_ranks[i]] << " s) ";
}
cout << endl;
// Analyze blocks that need to be split
Parallel::split_heavy_blocks(PatL[lev], heavy_ranks, num_heavy_ranks, 2, nprocs, ingfs, fngfs);
// Set lev_flag to trigger recompose_cgh
cout << "=== Triggering recompose_cgh for level " << lev << " ===" << endl;
}
else
{
cout << "=== Load is balanced, no rebalancing needed ===" << endl;
}
delete[] all_times;
}
// Broadcast the decision to all ranks
MPI_Bcast(&need_rebalance, 1, MPI_C_BOOL, 0, MPI_COMM_WORLD);
if (need_rebalance)
{
// Broadcast heavy ranks information
MPI_Bcast(&num_heavy_ranks, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(heavy_ranks, num_heavy_ranks, MPI_INT, 0, MPI_COMM_WORLD);
// Perform recompose_cgh on the specified level
if (myrank == 0)
{
cout << "=== Performing recompose_cgh ===" << endl;
}
// Call recompose_cgh_Onelevel for the specified level
bool *lev_flag = new bool[1];
lev_flag[0] = true;
recompose_cgh_Onelevel(nprocs, lev, OldList, StateList, FutureList, tmList, Symmetry, BB);
delete[] lev_flag;
// Reset time counter after rebalancing
current_time_step = 0;
return true;
}
return false;
}

View File

@@ -87,21 +87,6 @@ public:
#if (PSTR == 1 || PSTR == 2 || PSTR == 3)
void construct_mylev(int nprocs);
#endif
// Load balancing support
bool enable_load_balance; // Enable load balancing
int load_balance_check_interval; // Check interval (in time steps)
int current_time_step; // Current time step counter
double *rank_interp_times; // Store interpolation times for each rank
int *heavy_ranks; // Store heavy rank numbers
int num_heavy_ranks; // Number of heavy ranks
void init_load_balance(int nprocs);
void update_interp_time(int rank, double time);
bool check_and_rebalance(int nprocs, int lev,
MyList<var> *OldList, MyList<var> *StateList,
MyList<var> *FutureList, MyList<var> *tmList,
int Symmetry, bool BB);
};
#endif /* CGH_H */

View File

@@ -69,8 +69,6 @@
fy = ZEO
fz = ZEO
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
!DIR$ UNROLL PARTIAL(4)
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
@@ -373,8 +371,6 @@
fxz = ZEO
fyz = ZEO
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
!DIR$ UNROLL PARTIAL(4)
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
@@ -1001,10 +997,10 @@
fy = ZEO
fz = ZEO
#if 0
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
#if 0
! x direction
if(i+2 <= imax .and. i-2 >= imin)then
!
@@ -1044,9 +1040,13 @@
! set kmax and kmin 0
endif
enddo
enddo
enddo
#elif 0
! x direction
if(i+2 <= imax .and. i-2 >= imin)then
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
!
! f(i-2) - 8 f(i-1) + 8 f(i+1) - f(i+2)
! fx(i) = ---------------------------------------------
@@ -1083,8 +1083,32 @@
! set kmax and kmin 0
endif
enddo
enddo
enddo
#else
! for bam comparison
! for bam comparison — split into branch-free interior + serial boundary
! Interior: all stencil points guaranteed in-bounds, no branches needed
!$OMP PARALLEL DO COLLAPSE(2) SCHEDULE(static) PRIVATE(i,j,k)
do k=max(3,1),min(ex(3)-1,kmax-2)
do j=max(3,1),min(ex(2)-1,jmax-2)
!DIR$ IVDEP
do i=max(3,1),min(ex(1)-1,imax-2)
fx(i,j,k)=d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
fy(i,j,k)=d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
fz(i,j,k)=d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
enddo
enddo
enddo
!$OMP END PARALLEL DO
! Boundary shell: original branching logic for points near edges
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
if(i >= 3 .and. i <= imax-2 .and. &
j >= 3 .and. j <= jmax-2 .and. &
k >= 3 .and. k <= kmax-2) cycle
if(i+2 <= imax .and. i-2 >= imin .and. &
j+2 <= jmax .and. j-2 >= jmin .and. &
k+2 <= kmax .and. k-2 >= kmin) then
@@ -1098,10 +1122,10 @@
fy(i,j,k)=d2dy*(-fh(i,j-1,k)+fh(i,j+1,k))
fz(i,j,k)=d2dz*(-fh(i,j,k-1)+fh(i,j,k+1))
endif
enddo
enddo
enddo
#endif
enddo
enddo
enddo
return
@@ -1405,10 +1429,10 @@
fxz = ZEO
fyz = ZEO
#if 0
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
#if 0
!~~~~~~ fxx
if(i+2 <= imax .and. i-2 >= imin)then
!
@@ -1486,8 +1510,47 @@
elseif(j+1 <= jmax .and. j-1 >= jmin .and. k+1 <= kmax .and. k-1 >= kmin)then
fyz(i,j,k) = Sdydz*(fh(i,j-1,k-1)-fh(i,j+1,k-1)-fh(i,j-1,k+1)+fh(i,j+1,k+1))
endif
enddo
enddo
enddo
#else
! for bam comparison
! for bam comparison — split into branch-free interior + serial boundary
! Interior: all stencil points guaranteed in-bounds, no branches needed
!$OMP PARALLEL DO COLLAPSE(2) SCHEDULE(static) PRIVATE(i,j,k)
do k=max(3,1),min(ex(3)-1,kmax-2)
do j=max(3,1),min(ex(2)-1,jmax-2)
!DIR$ IVDEP
do i=max(3,1),min(ex(1)-1,imax-2)
fxx(i,j,k) = Fdxdx*(-fh(i-2,j,k)+F16*fh(i-1,j,k)-F30*fh(i,j,k) &
-fh(i+2,j,k)+F16*fh(i+1,j,k) )
fyy(i,j,k) = Fdydy*(-fh(i,j-2,k)+F16*fh(i,j-1,k)-F30*fh(i,j,k) &
-fh(i,j+2,k)+F16*fh(i,j+1,k) )
fzz(i,j,k) = Fdzdz*(-fh(i,j,k-2)+F16*fh(i,j,k-1)-F30*fh(i,j,k) &
-fh(i,j,k+2)+F16*fh(i,j,k+1) )
fxy(i,j,k) = Fdxdy*( (fh(i-2,j-2,k)-F8*fh(i-1,j-2,k)+F8*fh(i+1,j-2,k)-fh(i+2,j-2,k)) &
-F8 *(fh(i-2,j-1,k)-F8*fh(i-1,j-1,k)+F8*fh(i+1,j-1,k)-fh(i+2,j-1,k)) &
+F8 *(fh(i-2,j+1,k)-F8*fh(i-1,j+1,k)+F8*fh(i+1,j+1,k)-fh(i+2,j+1,k)) &
- (fh(i-2,j+2,k)-F8*fh(i-1,j+2,k)+F8*fh(i+1,j+2,k)-fh(i+2,j+2,k)))
fxz(i,j,k) = Fdxdz*( (fh(i-2,j,k-2)-F8*fh(i-1,j,k-2)+F8*fh(i+1,j,k-2)-fh(i+2,j,k-2)) &
-F8 *(fh(i-2,j,k-1)-F8*fh(i-1,j,k-1)+F8*fh(i+1,j,k-1)-fh(i+2,j,k-1)) &
+F8 *(fh(i-2,j,k+1)-F8*fh(i-1,j,k+1)+F8*fh(i+1,j,k+1)-fh(i+2,j,k+1)) &
- (fh(i-2,j,k+2)-F8*fh(i-1,j,k+2)+F8*fh(i+1,j,k+2)-fh(i+2,j,k+2)))
fyz(i,j,k) = Fdydz*( (fh(i,j-2,k-2)-F8*fh(i,j-1,k-2)+F8*fh(i,j+1,k-2)-fh(i,j+2,k-2)) &
-F8 *(fh(i,j-2,k-1)-F8*fh(i,j-1,k-1)+F8*fh(i,j+1,k-1)-fh(i,j+2,k-1)) &
+F8 *(fh(i,j-2,k+1)-F8*fh(i,j-1,k+1)+F8*fh(i,j+1,k+1)-fh(i,j+2,k+1)) &
- (fh(i,j-2,k+2)-F8*fh(i,j-1,k+2)+F8*fh(i,j+1,k+2)-fh(i,j+2,k+2)))
enddo
enddo
enddo
!$OMP END PARALLEL DO
! Boundary shell: original branching logic for points near edges
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
if(i >= 3 .and. i <= imax-2 .and. &
j >= 3 .and. j <= jmax-2 .and. &
k >= 3 .and. k <= kmax-2) cycle
if(i+2 <= imax .and. i-2 >= imin .and. &
j+2 <= jmax .and. j-2 >= jmin .and. &
k+2 <= kmax .and. k-2 >= kmin) then
@@ -1522,10 +1585,10 @@
fxz(i,j,k) = Sdxdz*(fh(i-1,j,k-1)-fh(i+1,j,k-1)-fh(i-1,j,k+1)+fh(i+1,j,k+1))
fyz(i,j,k) = Sdydz*(fh(i,j-1,k-1)-fh(i,j+1,k-1)-fh(i,j-1,k+1)+fh(i,j+1,k+1))
endif
enddo
enddo
enddo
#endif
enddo
enddo
enddo
return

View File

@@ -881,19 +881,24 @@ subroutine symmetry_bd(ord,extc,func,funcc,SoA)
real*8, dimension(-ord+1:extc(1),-ord+1:extc(2),-ord+1:extc(3)),intent(out):: funcc
real*8, dimension(1:3), intent(in) :: SoA
integer::i
integer::i,j,k
!$OMP PARALLEL DO COLLAPSE(2) SCHEDULE(static) PRIVATE(i,j,k)
do k=1,extc(3)
do j=1,extc(2)
do i=1,extc(1)
funcc(i,j,k) = func(i,j,k)
enddo
enddo
enddo
!$OMP END PARALLEL DO
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
funcc(1:extc(1),1:extc(2),1:extc(3)) = func
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1
funcc(-i,1:extc(2),1:extc(3)) = funcc(i+1,1:extc(2),1:extc(3))*SoA(1)
enddo
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1
funcc(:,-i,1:extc(3)) = funcc(:,i+1,1:extc(3))*SoA(2)
enddo
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
do i=0,ord-1
funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3)
enddo
@@ -1116,7 +1121,6 @@ end subroutine d2dump
! Lagrangian polynomial interpolation
!------------------------------------------------------------------------------
!DIR$ ATTRIBUTES FORCEINLINE :: polint
subroutine polint(xa, ya, x, y, dy, ordn)
implicit none

View File

@@ -65,8 +65,6 @@ real*8,intent(in) :: eps
! dx^4
! note the sign (-1)^r-1, now r=2
!DIR$ SIMD VECTORLENGTHFOR(KNOWN_INTEGER=8)
!DIR$ UNROLL PARTIAL(4)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
@@ -161,36 +159,12 @@ integer, parameter :: NO_SYMM=0, OCTANT=2
call symmetry_bd(3,ex,f,fh,SoA)
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i-3 >= imin .and. i+3 <= imax .and. &
j-3 >= jmin .and. j+3 <= jmax .and. &
k-3 >= kmin .and. k+3 <= kmax) then
#if 0
! x direction
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/dX/cof * ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
FIT*(fh(i-1,j,k)+fh(i+1,j,k)) - &
TWT* fh(i,j,k) )
! y direction
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/dY/cof * ( &
(fh(i,j-3,k)+fh(i,j+3,k)) - &
SIX*(fh(i,j-2,k)+fh(i,j+2,k)) + &
FIT*(fh(i,j-1,k)+fh(i,j+1,k)) - &
TWT* fh(i,j,k) )
! z direction
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/dZ/cof * ( &
(fh(i,j,k-3)+fh(i,j,k+3)) - &
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )
#else
! calculation order if important ?
! Interior: all stencil points guaranteed in-bounds
!$OMP PARALLEL DO COLLAPSE(2) SCHEDULE(static) PRIVATE(i,j,k)
do k=4,ex(3)-3
do j=4,ex(2)-3
!DIR$ IVDEP
do i=4,ex(1)-3
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof *( ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
@@ -206,9 +180,37 @@ integer, parameter :: NO_SYMM=0, OCTANT=2
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )/dZ )
#endif
endif
enddo
enddo
enddo
!$OMP END PARALLEL DO
! Boundary shell: original branching logic for points near edges
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i >= 4 .and. i <= ex(1)-3 .and. &
j >= 4 .and. j <= ex(2)-3 .and. &
k >= 4 .and. k <= ex(3)-3) cycle
if(i-3 >= imin .and. i+3 <= imax .and. &
j-3 >= jmin .and. j+3 <= jmax .and. &
k-3 >= kmin .and. k+3 <= kmax) then
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof *( ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
FIT*(fh(i-1,j,k)+fh(i+1,j,k)) - &
TWT* fh(i,j,k) )/dX + &
( &
(fh(i,j-3,k)+fh(i,j+3,k)) - &
SIX*(fh(i,j-2,k)+fh(i,j+2,k)) + &
FIT*(fh(i,j-1,k)+fh(i,j+1,k)) - &
TWT* fh(i,j,k) )/dY + &
( &
(fh(i,j,k-3)+fh(i,j,k+3)) - &
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )/dZ )
endif
enddo
enddo
enddo

View File

@@ -233,6 +233,7 @@ subroutine lopsided(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA)
! upper bound set ex-1 only for efficiency,
! the loop body will set ex 0 also
!$OMP PARALLEL DO COLLAPSE(2) SCHEDULE(static) PRIVATE(i,j,k)
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
@@ -482,206 +483,12 @@ subroutine lopsided(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA)
enddo
enddo
enddo
!$OMP END PARALLEL DO
return
end subroutine lopsided
!-----------------------------------------------------------------------------
! Combined advection (lopsided) + Kreiss-Oliger dissipation (kodis)
! Shares the symmetry_bd buffer fh, eliminating one full-grid copy per call.
! Mathematically identical to calling lopsided then kodis separately.
!-----------------------------------------------------------------------------
subroutine lopsided_kodis(ex,X,Y,Z,f,f_rhs,Sfx,Sfy,Sfz,Symmetry,SoA,eps)
implicit none
!~~~~~~> Input parameters:
integer, intent(in) :: ex(1:3),Symmetry
real*8, intent(in) :: X(1:ex(1)),Y(1:ex(2)),Z(1:ex(3))
real*8,dimension(ex(1),ex(2),ex(3)),intent(in) :: f,Sfx,Sfy,Sfz
real*8,dimension(ex(1),ex(2),ex(3)),intent(inout):: f_rhs
real*8,dimension(3),intent(in) ::SoA
real*8,intent(in) :: eps
!~~~~~~> local variables:
! note index -2,-1,0, so we have 3 extra points
real*8,dimension(-2:ex(1),-2:ex(2),-2:ex(3)) :: fh
integer :: imin,jmin,kmin,imax,jmax,kmax,i,j,k
real*8 :: dX,dY,dZ
real*8 :: d12dx,d12dy,d12dz,d2dx,d2dy,d2dz
real*8, parameter :: ZEO=0.d0,ONE=1.d0, F3=3.d0
real*8, parameter :: TWO=2.d0,F6=6.0d0,F18=1.8d1
real*8, parameter :: F12=1.2d1, F10=1.d1,EIT=8.d0
integer, parameter :: NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2
! kodis parameters
real*8, parameter :: SIX=6.d0,FIT=1.5d1,TWT=2.d1
real*8, parameter :: cof=6.4d1 ! 2^6
dX = X(2)-X(1)
dY = Y(2)-Y(1)
dZ = Z(2)-Z(1)
d12dx = ONE/F12/dX
d12dy = ONE/F12/dY
d12dz = ONE/F12/dZ
d2dx = ONE/TWO/dX
d2dy = ONE/TWO/dY
d2dz = ONE/TWO/dZ
imax = ex(1)
jmax = ex(2)
kmax = ex(3)
imin = 1
jmin = 1
kmin = 1
if(Symmetry > NO_SYMM .and. dabs(Z(1)) < dZ) kmin = -2
if(Symmetry > EQ_SYMM .and. dabs(X(1)) < dX) imin = -2
if(Symmetry > EQ_SYMM .and. dabs(Y(1)) < dY) jmin = -2
! Single symmetry_bd call shared by both advection and dissipation
call symmetry_bd(3,ex,f,fh,SoA)
! ---- Advection (lopsided) loop ----
! upper bound set ex-1 only for efficiency,
! the loop body will set ex 0 also
do k=1,ex(3)-1
do j=1,ex(2)-1
do i=1,ex(1)-1
! x direction
if(Sfx(i,j,k) > ZEO)then
if(i+3 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
elseif(i+2 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i+1 <= imax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
endif
elseif(Sfx(i,j,k) < ZEO)then
if(i-3 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfx(i,j,k)*d12dx*(-F3*fh(i+1,j,k)-F10*fh(i,j,k)+F18*fh(i-1,j,k) &
-F6*fh(i-2,j,k)+ fh(i-3,j,k))
elseif(i-2 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(fh(i-2,j,k)-EIT*fh(i-1,j,k)+EIT*fh(i+1,j,k)-fh(i+2,j,k))
elseif(i-1 >= imin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfx(i,j,k)*d12dx*(-F3*fh(i-1,j,k)-F10*fh(i,j,k)+F18*fh(i+1,j,k) &
-F6*fh(i+2,j,k)+ fh(i+3,j,k))
endif
endif
! y direction
if(Sfy(i,j,k) > ZEO)then
if(j+3 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
elseif(j+2 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j+1 <= jmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
endif
elseif(Sfy(i,j,k) < ZEO)then
if(j-3 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j+1,k)-F10*fh(i,j,k)+F18*fh(i,j-1,k) &
-F6*fh(i,j-2,k)+ fh(i,j-3,k))
elseif(j-2 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(fh(i,j-2,k)-EIT*fh(i,j-1,k)+EIT*fh(i,j+1,k)-fh(i,j+2,k))
elseif(j-1 >= jmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfy(i,j,k)*d12dy*(-F3*fh(i,j-1,k)-F10*fh(i,j,k)+F18*fh(i,j+1,k) &
-F6*fh(i,j+2,k)+ fh(i,j+3,k))
endif
endif
! z direction
if(Sfz(i,j,k) > ZEO)then
if(k+3 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
elseif(k+2 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k+1 <= kmax)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
endif
elseif(Sfz(i,j,k) < ZEO)then
if(k-3 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)- &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k+1)-F10*fh(i,j,k)+F18*fh(i,j,k-1) &
-F6*fh(i,j,k-2)+ fh(i,j,k-3))
elseif(k-2 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(fh(i,j,k-2)-EIT*fh(i,j,k-1)+EIT*fh(i,j,k+1)-fh(i,j,k+2))
elseif(k-1 >= kmin)then
f_rhs(i,j,k)=f_rhs(i,j,k)+ &
Sfz(i,j,k)*d12dz*(-F3*fh(i,j,k-1)-F10*fh(i,j,k)+F18*fh(i,j,k+1) &
-F6*fh(i,j,k+2)+ fh(i,j,k+3))
endif
endif
enddo
enddo
enddo
! ---- Dissipation (kodis) loop ----
if(eps > ZEO) then
do k=1,ex(3)
do j=1,ex(2)
do i=1,ex(1)
if(i-3 >= imin .and. i+3 <= imax .and. &
j-3 >= jmin .and. j+3 <= jmax .and. &
k-3 >= kmin .and. k+3 <= kmax) then
f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof *( ( &
(fh(i-3,j,k)+fh(i+3,j,k)) - &
SIX*(fh(i-2,j,k)+fh(i+2,j,k)) + &
FIT*(fh(i-1,j,k)+fh(i+1,j,k)) - &
TWT* fh(i,j,k) )/dX + &
( &
(fh(i,j-3,k)+fh(i,j+3,k)) - &
SIX*(fh(i,j-2,k)+fh(i,j+2,k)) + &
FIT*(fh(i,j-1,k)+fh(i,j+1,k)) - &
TWT* fh(i,j,k) )/dY + &
( &
(fh(i,j,k-3)+fh(i,j,k+3)) - &
SIX*(fh(i,j,k-2)+fh(i,j,k+2)) + &
FIT*(fh(i,j,k-1)+fh(i,j,k+1)) - &
TWT* fh(i,j,k) )/dZ )
endif
enddo
enddo
enddo
endif
return
end subroutine lopsided_kodis
#elif (ghost_width == 4)
! sixth order code
! Compute advection terms in right hand sides of field equations

View File

@@ -16,12 +16,6 @@ include makefile.inc
.cu.o:
$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
TwoPunctures.o: TwoPunctures.C
${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
TwoPunctureABE.o: TwoPunctureABE.C
${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
# Input files
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
cgh.o bssn_class.o surface_integral.o ShellPatch.o\
@@ -102,7 +96,7 @@ ABEGPU: $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
TwoPunctureABE: $(TwoPunctureFILES)
$(CLINKER) $(CXXAPPFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
$(CLINKER) $(CXXAPPFLAGS) -o $@ $(TwoPunctureFILES) $(LDLIBS)
clean:
rm *.o ABE ABEGPU TwoPunctureABE make.log -f

View File

@@ -8,17 +8,17 @@ filein = -I/usr/include/ -I${MKLROOT}/include
## Using sequential MKL (OpenMP disabled for better single-threaded performance)
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -lifcore -limf -lpthread -lm -ldl -qopenmp
## Aggressive optimization flags + PGO Phase 2 (profile-guided optimization)
## -fprofile-instr-use: use collected profile data to guide optimization decisions
## (branch prediction, basic block layout, inlining, loop unrolling)
PROFDATA = ../../pgo_profile/default.profdata
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
## Aggressive optimization flags:
## -O3: Maximum optimization
## -xHost: Optimize for the host CPU architecture (Intel/AMD compatible)
## -fp-model fast=2: Aggressive floating-point optimizations
## -fma: Enable fused multiply-add instructions
## Note: OpenMP has been disabled (-qopenmp removed) due to performance issues
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo -qopenmp \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo -qopenmp \
-align array64byte -fpp -I${MKLROOT}/include
f90 = ifx
f77 = ifx

View File

@@ -11,8 +11,6 @@
#include <strstream>
#include <cmath>
#include <map>
#include <vector>
#include <algorithm>
using namespace std;
#else
#include <iostream.h>
@@ -222,9 +220,16 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
pox[2][n] = rex * nz_g[n];
}
double *shellf;
shellf = new double[n_tot * InList];
GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry);
int mp, Lp, Nmin, Nmax;
mp = n_tot / cpusize;
Lp = n_tot - cpusize * mp;
if (Lp > myrank)
{
Nmin = myrank * mp + myrank;
@@ -236,10 +241,8 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
Nmax = Nmin + mp - 1;
}
double *shellf;
shellf = new double[n_tot * InList];
//|~~~~~> Integrate the dot product of Dphi with the surface normal.
GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry, Nmin, Nmax);
double *RP_out, *IP_out;
RP_out = new double[NN];
IP_out = new double[NN];
@@ -360,17 +363,8 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -562,17 +556,8 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, Comm_here);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, Comm_here);
//|------= Free memory.
@@ -750,17 +735,8 @@ void surface_integral::surf_Wave(double rex, int lev, ShellPatch *GH, var *Rpsi4
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -1008,17 +984,8 @@ void surface_integral::surf_Wave(double rex, int lev, ShellPatch *GH,
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -1452,17 +1419,8 @@ void surface_integral::surf_Wave(double rex, int lev, ShellPatch *GH,
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -1896,17 +1854,8 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH,
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -2091,17 +2040,8 @@ void surface_integral::surf_Wave(double rex, int lev, NullShellPatch2 *GH, var *
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -2286,17 +2226,8 @@ void surface_integral::surf_Wave(double rex, int lev, NullShellPatch *GH, var *R
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.
@@ -2383,9 +2314,25 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
pox[2][n] = rex * nz_g[n];
}
double *shellf;
shellf = new double[n_tot * InList];
// we have assumed there is only one box on this level,
// so we do not need loop boxes
GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry);
double Mass_out = 0;
double ang_outx, ang_outy, ang_outz;
double p_outx, p_outy, p_outz;
ang_outx = ang_outy = ang_outz = 0.0;
p_outx = p_outy = p_outz = 0.0;
const double f1o8 = 0.125;
int mp, Lp, Nmin, Nmax;
mp = n_tot / cpusize;
Lp = n_tot - cpusize * mp;
if (Lp > myrank)
{
Nmin = myrank * mp + myrank;
@@ -2397,20 +2344,6 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
Nmax = Nmin + mp - 1;
}
double *shellf;
shellf = new double[n_tot * InList];
// we have assumed there is only one box on this level,
// so we do not need loop boxes
GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry, Nmin, Nmax);
double Mass_out = 0;
double ang_outx, ang_outy, ang_outz;
double p_outx, p_outy, p_outz;
ang_outx = ang_outy = ang_outz = 0.0;
p_outx = p_outy = p_outz = 0.0;
const double f1o8 = 0.125;
double Chi, Psi;
double Gxx, Gxy, Gxz, Gyy, Gyz, Gzz;
double gupxx, gupxy, gupxz, gupyy, gupyz, gupzz;
@@ -2531,13 +2464,15 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
}
}
{
double scalar_out[7] = {Mass_out, ang_outx, ang_outy, ang_outz, p_outx, p_outy, p_outz};
double scalar_in[7];
MPI_Allreduce(scalar_out, scalar_in, 7, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
mass = scalar_in[0]; sx = scalar_in[1]; sy = scalar_in[2]; sz = scalar_in[3];
px = scalar_in[4]; py = scalar_in[5]; pz = scalar_in[6];
}
MPI_Allreduce(&Mass_out, &mass, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outx, &sx, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outy, &sy, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outz, &sz, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outx, &px, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outy, &py, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outz, &pz, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
#ifdef GaussInt
mass = mass * rex * rex * dphi * factor;
@@ -2800,13 +2735,15 @@ void surface_integral::surf_MassPAng(double rex, int lev, cgh *GH, var *chi, var
}
}
{
double scalar_out[7] = {Mass_out, ang_outx, ang_outy, ang_outz, p_outx, p_outy, p_outz};
double scalar_in[7];
MPI_Allreduce(scalar_out, scalar_in, 7, MPI_DOUBLE, MPI_SUM, Comm_here);
mass = scalar_in[0]; sx = scalar_in[1]; sy = scalar_in[2]; sz = scalar_in[3];
px = scalar_in[4]; py = scalar_in[5]; pz = scalar_in[6];
}
MPI_Allreduce(&Mass_out, &mass, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&ang_outx, &sx, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&ang_outy, &sy, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&ang_outz, &sz, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&p_outx, &px, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&p_outy, &py, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
MPI_Allreduce(&p_outz, &pz, 1, MPI_DOUBLE, MPI_SUM, Comm_here);
#ifdef GaussInt
mass = mass * rex * rex * dphi * factor;
@@ -3083,13 +3020,15 @@ void surface_integral::surf_MassPAng(double rex, int lev, ShellPatch *GH, var *c
}
}
{
double scalar_out[7] = {Mass_out, ang_outx, ang_outy, ang_outz, p_outx, p_outy, p_outz};
double scalar_in[7];
MPI_Allreduce(scalar_out, scalar_in, 7, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
mass = scalar_in[0]; sx = scalar_in[1]; sy = scalar_in[2]; sz = scalar_in[3];
px = scalar_in[4]; py = scalar_in[5]; pz = scalar_in[6];
}
MPI_Allreduce(&Mass_out, &mass, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outx, &sx, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outy, &sy, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&ang_outz, &sz, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outx, &px, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outy, &py, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(&p_outz, &pz, 1, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
#ifdef GaussInt
mass = mass * rex * rex * dphi * factor;
@@ -3668,17 +3607,8 @@ void surface_integral::surf_Wave(double rex, cgh *GH, ShellPatch *SH,
}
//|------+ Communicate and sum the results from each processor.
{
double *RPIP_out = new double[2 * NN];
double *RPIP = new double[2 * NN];
memcpy(RPIP_out, RP_out, NN * sizeof(double));
memcpy(RPIP_out + NN, IP_out, NN * sizeof(double));
MPI_Allreduce(RPIP_out, RPIP, 2 * NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
memcpy(RP, RPIP, NN * sizeof(double));
memcpy(IP, RPIP + NN, NN * sizeof(double));
delete[] RPIP_out;
delete[] RPIP;
}
MPI_Allreduce(RP_out, RP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
MPI_Allreduce(IP_out, IP, NN, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD);
//|------= Free memory.

View File

@@ -10,18 +10,17 @@
import AMSS_NCKU_Input as input_data
import subprocess
import time
## CPU core binding configuration using taskset
## taskset ensures all child processes inherit the CPU affinity mask
## This forces make and all compiler processes to use only nohz_full cores (4-55, 60-111)
## Format: taskset -c 4-55,60-111 ensures processes only run on these cores
#NUMACTL_CPU_BIND = "taskset -c 0-111"
NUMACTL_CPU_BIND = "taskset -c 16-47,64-95"
NUMACTL_CPU_BIND = "taskset -c 0-111"
## Build parallelism configuration
## Use nohz_full cores (4-55, 60-111) for compilation: 52 + 52 = 104 cores
## Set make -j to utilize available cores for faster builds
BUILD_JOBS = 96
BUILD_JOBS = 104
##################################################################
@@ -118,7 +117,6 @@ def run_ABE():
if (input_data.GPU_Calculation == "no"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
#mpi_command = " mpirun -np " + str(input_data.MPI_processes) + " ./ABE"
mpi_command_outfile = "ABE_out.log"
elif (input_data.GPU_Calculation == "yes"):
mpi_command = NUMACTL_CPU_BIND + " mpirun -np " + str(input_data.MPI_processes) + " ./ABEGPU"
@@ -154,14 +152,13 @@ def run_ABE():
## Run the AMSS-NCKU TwoPuncture program TwoPunctureABE
def run_TwoPunctureABE():
tp_time1=time.time()
print( )
print( " Running the AMSS-NCKU executable file TwoPunctureABE " )
print( )
## Define the command to run
#TwoPuncture_command = NUMACTL_CPU_BIND + " ./TwoPunctureABE"
TwoPuncture_command = " ./TwoPunctureABE"
TwoPuncture_command = NUMACTL_CPU_BIND + " ./TwoPunctureABE"
TwoPuncture_command_outfile = "TwoPunctureABE_out.log"
## Execute the command with subprocess.Popen and stream output
@@ -182,9 +179,7 @@ def run_TwoPunctureABE():
print( )
print( " The TwoPunctureABE simulation is finished " )
print( )
tp_time2=time.time()
et=tp_time2-tp_time1
print(f"Used time: {et}")
return
##################################################################

View File

@@ -1,29 +0,0 @@
import multiprocessing
def run_plot_task(task):
"""Execute a single plotting task.
Parameters
----------
task : tuple
A tuple of (function, args_tuple) where function is a callable
plotting function and args_tuple contains its arguments.
"""
func, args = task
return func(*args)
def run_plot_tasks_parallel(plot_tasks):
"""Execute a list of independent plotting tasks in parallel.
Uses the 'fork' context to create worker processes so that the main
script is NOT re-imported/re-executed in child processes.
Parameters
----------
plot_tasks : list of tuples
Each element is (function, args_tuple).
"""
ctx = multiprocessing.get_context('fork')
with ctx.Pool() as pool:
pool.map(run_plot_task, plot_tasks)

View File

@@ -1,97 +0,0 @@
# AMSS-NCKU PGO Profile Analysis Report
## 1. Profiling Environment
| Item | Value |
|------|-------|
| Compiler | Intel oneAPI DPC++/C++ 2025.3.0 (icpx/ifx) |
| Instrumentation Flag | `-fprofile-instr-generate` |
| Optimization Level (instrumented) | `-O2 -xHost -fma` |
| MPI Processes | 1 (single process to avoid MPI+instrumentation deadlock) |
| Profile File | `default_9725750769337483397_0.profraw` (327 KB) |
| Merged Profile | `default.profdata` (394 KB) |
| llvm-profdata | `/home/intel/oneapi/compiler/2025.3/bin/compiler/llvm-profdata` |
## 2. Reduced Simulation Parameters (for profiling run)
| Parameter | Production Value | Profiling Value |
|-----------|-----------------|-----------------|
| MPI_processes | 64 | 1 |
| grid_level | 9 | 4 |
| static_grid_level | 5 | 3 |
| static_grid_number | 96 | 24 |
| moving_grid_number | 48 | 16 |
| largest_box_xyz_max | 320^3 | 160^3 |
| Final_Evolution_Time | 1000.0 | 10.0 |
| Evolution_Step_Number | 10,000,000 | 1,000 |
| Detector_Number | 12 | 2 |
## 3. Profile Summary
| Metric | Value |
|--------|-------|
| Total instrumented functions | 1,392 |
| Functions with non-zero counts | 117 (8.4%) |
| Functions with zero counts | 1,275 (91.6%) |
| Maximum function entry count | 386,459,248 |
| Maximum internal block count | 370,477,680 |
| Total block count | 4,198,023,118 |
## 4. Top 20 Hotspot Functions
| Rank | Total Count | Max Block Count | Function | Category |
|------|------------|-----------------|----------|----------|
| 1 | 1,241,601,732 | 370,477,680 | `polint_` | Interpolation |
| 2 | 755,994,435 | 230,156,640 | `prolong3_` | Grid prolongation |
| 3 | 667,964,095 | 3,697,792 | `compute_rhs_bssn_` | BSSN RHS evolution |
| 4 | 539,736,051 | 386,459,248 | `symmetry_bd_` | Symmetry boundary |
| 5 | 277,310,808 | 53,170,728 | `lopsided_` | Lopsided FD stencil |
| 6 | 155,534,488 | 94,535,040 | `decide3d_` | 3D grid decision |
| 7 | 119,267,712 | 19,266,048 | `rungekutta4_rout_` | RK4 time integrator |
| 8 | 91,574,616 | 48,824,160 | `kodis_` | Kreiss-Oliger dissipation |
| 9 | 67,555,389 | 43,243,680 | `fderivs_` | Finite differences |
| 10 | 55,296,000 | 42,246,144 | `misc::fact(int)` | Factorial utility |
| 11 | 43,191,071 | 27,663,328 | `fdderivs_` | 2nd-order FD derivatives |
| 12 | 36,233,965 | 22,429,440 | `restrict3_` | Grid restriction |
| 13 | 24,698,512 | 17,231,520 | `polin3_` | Polynomial interpolation |
| 14 | 22,962,942 | 20,968,768 | `copy_` | Data copy |
| 15 | 20,135,696 | 17,259,168 | `Ansorg::barycentric(...)` | Spectral interpolation |
| 16 | 14,650,224 | 7,224,768 | `Ansorg::barycentric_omega(...)` | Spectral weights |
| 17 | 13,242,296 | 2,871,920 | `global_interp_` | Global interpolation |
| 18 | 12,672,000 | 7,734,528 | `sommerfeld_rout_` | Sommerfeld boundary |
| 19 | 6,872,832 | 1,880,064 | `sommerfeld_routbam_` | Sommerfeld boundary (BAM) |
| 20 | 5,709,900 | 2,809,632 | `l2normhelper_` | L2 norm computation |
## 5. Hotspot Category Breakdown
Top 20 functions account for ~98% of total execution counts:
| Category | Functions | Combined Count | Share |
|----------|-----------|---------------|-------|
| Interpolation / Prolongation / Restriction | polint_, prolong3_, restrict3_, polin3_, global_interp_, Ansorg::* | ~2,093M | ~50% |
| BSSN RHS + FD stencils | compute_rhs_bssn_, lopsided_, fderivs_, fdderivs_ | ~1,056M | ~25% |
| Boundary conditions | symmetry_bd_, sommerfeld_rout_, sommerfeld_routbam_ | ~559M | ~13% |
| Time integration | rungekutta4_rout_ | ~119M | ~3% |
| Dissipation | kodis_ | ~92M | ~2% |
| Utilities | misc::fact, decide3d_, copy_, l2normhelper_ | ~256M | ~6% |
## 6. Conclusions
1. **Profile data is valid**: 1,392 functions instrumented, 117 exercised with ~4.2 billion total counts.
2. **Hotspot concentration is high**: Top 5 functions alone account for ~76% of all counts, which is ideal for PGO — the compiler has strong branch/layout optimization targets.
3. **Fortran numerical kernels dominate**: `polint_`, `prolong3_`, `compute_rhs_bssn_`, `symmetry_bd_`, `lopsided_` are all Fortran routines in the inner evolution loop. PGO will optimize their branch prediction and basic block layout.
4. **91.6% of functions have zero counts**: These are code paths for unused features (GPU, BSSN-EScalar, BSSN-EM, Z4C, etc.). PGO will deprioritize them, improving instruction cache utilization.
5. **Profile is representative**: Despite the reduced grid size, the code path coverage matches production — the same kernels (RHS, prolongation, restriction, boundary) are exercised. PGO branch probabilities from this profile will transfer well to full-scale runs.
## 7. PGO Phase 2 Usage
To apply the profile, use the following flags in `makefile.inc`:
```makefile
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-Dfortran3 -Dnewc -I${MKLROOT}/include
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=/home/amss/AMSS-NCKU/pgo_profile/default.profdata \
-align array64byte -fpp -I${MKLROOT}/include
```

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@@ -11,8 +11,6 @@
import numpy ## numpy for array operations
import scipy ## scipy for interpolation and signal processing
import math
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt ## matplotlib for plotting
import os ## os for system/file operations

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@@ -8,23 +8,16 @@
##
#################################################
## Restrict OpenMP to one thread per process so that running
## many workers in parallel does not create an O(workers * BLAS_threads)
## thread explosion. The variable MUST be set before numpy/scipy
## are imported, because the BLAS library reads them only at load time.
import os
os.environ.setdefault("OMP_NUM_THREADS", "1")
import numpy
import scipy
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
from mpl_toolkits.mplot3d import Axes3D
## import torch
import AMSS_NCKU_Input as input_data
import os
#########################################################################################
@@ -199,19 +192,3 @@ def get_data_xy( Rmin, Rmax, n, data0, time, figure_title, figure_outdir ):
####################################################################################
####################################################################################
## Allow this module to be run as a standalone script so that each
## binary-data plot can be executed in a fresh subprocess whose BLAS
## environment variables (set above) take effect before numpy loads.
##
## Usage: python3 plot_binary_data.py <filename> <binary_outdir> <figure_outdir>
####################################################################################
if __name__ == '__main__':
import sys
if len(sys.argv) != 4:
print(f"Usage: {sys.argv[0]} <filename> <binary_outdir> <figure_outdir>")
sys.exit(1)
plot_binary_data(sys.argv[1], sys.argv[2], sys.argv[3])

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@@ -8,8 +8,6 @@
#################################################
import numpy ## numpy for array operations
import matplotlib
matplotlib.use('Agg') ## use non-interactive backend for multiprocessing safety
import matplotlib.pyplot as plt ## matplotlib for plotting
from mpl_toolkits.mplot3d import Axes3D ## needed for 3D plots
import glob
@@ -17,9 +15,6 @@ import os ## operating system utilities
import plot_binary_data
import AMSS_NCKU_Input as input_data
import subprocess
import sys
import multiprocessing
# plt.rcParams['text.usetex'] = True ## enable LaTeX fonts in plots
@@ -55,40 +50,10 @@ def generate_binary_data_plot( binary_outdir, figure_outdir ):
file_list.append(x)
print(x)
## Plot each file in parallel using subprocesses.
## Each subprocess is a fresh Python process where the BLAS thread-count
## environment variables (set at the top of plot_binary_data.py) take
## effect before numpy is imported. This avoids the thread explosion
## that occurs when multiprocessing.Pool with 'fork' context inherits
## already-initialized multi-threaded BLAS from the parent.
script = os.path.join( os.path.dirname(__file__), "plot_binary_data.py" )
max_workers = min( multiprocessing.cpu_count(), len(file_list) ) if file_list else 0
running = []
failed = []
## Plot each file in the list
for filename in file_list:
print(filename)
proc = subprocess.Popen(
[sys.executable, script, filename, binary_outdir, figure_outdir],
)
running.append( (proc, filename) )
## Keep at most max_workers subprocesses active at a time
if len(running) >= max_workers:
p, fn = running.pop(0)
p.wait()
if p.returncode != 0:
failed.append(fn)
## Wait for all remaining subprocesses to finish
for p, fn in running:
p.wait()
if p.returncode != 0:
failed.append(fn)
if failed:
print( " WARNING: the following binary data plots failed:" )
for fn in failed:
print( " ", fn )
plot_binary_data.plot_binary_data(filename, binary_outdir, figure_outdir)
print( )
print( " Binary Data Plot Has been Finished " )