修改block划分，对负载高的rank所在block进行划分，添加到空rank，空rank是平移得到的

Rank [  20]: Calc 0.000003 s

Rank [  35]: Calc 0.000003 s

Rank [  10]: Calc 0.000010 s

Rank [  17]: Calc 0.000005 s

Rank [  32]: Calc 0.000003 s，而且rank不固定，一般就是rank 10 和 rank 52；
但尽管有很多，比前者时间还是少很多
对于第二个Surf_Wave 调用 Interp_points，我发现前四个rank时间最长，比较固定，就是下面四个rank

Rank [  27]: Calc 0.331978 s

Rank [  35]: Calc 0.242219 s

Rank [  28]: Calc 0.242132 s

Rank [  36]: Calc 0.197024 s
因此下面surf_wave是核心

AMSS_NCKU_Program.py

@@ -66,7 +66,8 @@ if os.path.exists(File_directory):
     ## Prompt whether to overwrite the existing directory
     while True:
         try:
-            inputvalue = input()
+            ## inputvalue = input()
+            inputvalue = "continue"
             ## If the user agrees to overwrite, proceed and remove the existing directory
             if ( inputvalue == "continue" ):
                 print( " Continue the calculation !!! " )

AMSS_NCKU_source/MPatch.C

@@ -442,7 +442,6 @@ 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,
@@ -507,6 +506,9 @@ void Patch::Interp_Points(MyList<var> *VarList,
   // 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);
@@ -607,7 +609,9 @@ void Patch::Interp_Points(MyList<var> *VarList,
       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++)
   {
@@ -764,6 +768,63 @@ void Patch::Interp_Points(MyList<var> *VarList,
   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);
+  }
+*/
 }
 void Patch::Interp_Points(MyList<var> *VarList,
                           int NN, double **XX,

AMSS_NCKU_source/NullShellPatch.h

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

AMSS_NCKU_source/Parallel.C

@@ -4,6 +4,7 @@
 #include "prolongrestrict.h"
 #include "misc.h"
 #include "parameters.h"
+#include <set>
 
 int Parallel::partition1(int &nx, int split_size, int min_width, int cpusize, int shape) // special for 1 diemnsion
 {
@@ -115,7 +116,7 @@ int Parallel::partition3(int *nxyz, int split_size, int *min_width, int cpusize,
   return nx * ny * nz;
 #undef SEARCH_SIZE
 }
-#elif 1 // Zhihui's idea one on 2013-09-25
+#elif 0 // Zhihui's idea one on 2013-09-25
 {
   int nx, ny, nz;
   int hmin_width;
@@ -150,7 +151,7 @@ int Parallel::partition3(int *nxyz, int split_size, int *min_width, int cpusize,
 
   return nx * ny * nz;
 }
-#elif 1 // Zhihui's idea two on 2013-09-25
+#elif 0 // Zhihui's idea two on 2013-09-25
 {
   int nx, ny, nz;
   const int hmin_width = 8; // for example we use 8
@@ -500,6 +501,428 @@ MyList<Block> *Parallel::distribute(MyList<Patch> *PatchLIST, int cpusize, int i
 
   return BlL;
 }
+MyList<Block> *Parallel::distribute_hard(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfsi,
+                                    bool periodic, int nodes)
+{
+#ifdef USE_GPU_DIVIDE
+  double cpu_part, gpu_part;
+  map<string, double>::iterator iter;
+  iter = parameters::dou_par.find("cpu part");
+  if (iter != parameters::dou_par.end())
+  {
+    cpu_part = iter->second;
+  }
+  else
+  {
+    int myrank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
+    // read parameter from file
+    const int LEN = 256;
+    char pline[LEN];
+    string str, sgrp, skey, sval;
+    int sind;
+    char pname[50];
+    {
+      map<string, string>::iterator iter = parameters::str_par.find("inputpar");
+      if (iter != parameters::str_par.end())
+      {
+        strcpy(pname, (iter->second).c_str());
+      }
+      else
+      {
+        cout << "Error inputpar" << endl;
+        exit(0);
+      }
+    }
+    ifstream inf(pname, ifstream::in);
+    if (!inf.good() && myrank == 0)
+    {
+      cout << "Can not open parameter file " << pname << endl;
+      MPI_Abort(MPI_COMM_WORLD, 1);
+    }
+
+    for (int i = 1; inf.good(); i++)
+    {
+      inf.getline(pline, LEN);
+      str = pline;
+
+      int status = misc::parse_parts(str, sgrp, skey, sval, sind);
+      if (status == -1)
+      {
+        cout << "error reading parameter file " << pname << " in line " << i << endl;
+        MPI_Abort(MPI_COMM_WORLD, 1);
+      }
+      else if (status == 0)
+        continue;
+
+      if (sgrp == "ABE")
+      {
+        if (skey == "cpu part")
+          cpu_part = atof(sval.c_str());
+      }
+    }
+    inf.close();
+
+    parameters::dou_par.insert(map<string, double>::value_type("cpu part", cpu_part));
+  }
+  iter = parameters::dou_par.find("gpu part");
+  if (iter != parameters::dou_par.end())
+  {
+    gpu_part = iter->second;
+  }
+  else
+  {
+    int myrank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
+    // read parameter from file
+    const int LEN = 256;
+    char pline[LEN];
+    string str, sgrp, skey, sval;
+    int sind;
+    char pname[50];
+    {
+      map<string, string>::iterator iter = parameters::str_par.find("inputpar");
+      if (iter != parameters::str_par.end())
+      {
+        strcpy(pname, (iter->second).c_str());
+      }
+      else
+      {
+        cout << "Error inputpar" << endl;
+        exit(0);
+      }
+    }
+    ifstream inf(pname, ifstream::in);
+    if (!inf.good() && myrank == 0)
+    {
+      cout << "Can not open parameter file " << pname << endl;
+      MPI_Abort(MPI_COMM_WORLD, 1);
+    }
+
+    for (int i = 1; inf.good(); i++)
+    {
+      inf.getline(pline, LEN);
+      str = pline;
+
+      int status = misc::parse_parts(str, sgrp, skey, sval, sind);
+      if (status == -1)
+      {
+        cout << "error reading parameter file " << pname << " in line " << i << endl;
+        MPI_Abort(MPI_COMM_WORLD, 1);
+      }
+      else if (status == 0)
+        continue;
+
+      if (sgrp == "ABE")
+      {
+        if (skey == "gpu part")
+          gpu_part = atof(sval.c_str());
+      }
+    }
+    inf.close();
+
+    parameters::dou_par.insert(map<string, double>::value_type("gpu part", gpu_part));
+  }
+
+  if (nodes == 0)
+    nodes = cpusize / 2;
+#else
+  if (nodes == 0)
+    nodes = cpusize;
+#endif
+
+  if (dim != 3)
+  {
+    cout << "distrivute: now we only support 3-dimension" << endl;
+    MPI_Abort(MPI_COMM_WORLD, 1);
+  }
+
+  MyList<Block> *BlL = 0;
+  int split_size, min_size, block_size = 0;
+
+  int min_width = 2 * Mymax(ghost_width, buffer_width);
+  int nxyz[dim], mmin_width[dim], min_shape[dim];
+
+  MyList<Patch> *PLi = PatchLIST;
+  for (int i = 0; i < dim; i++)
+    min_shape[i] = PLi->data->shape[i];
+  int lev = PLi->data->lev;
+  PLi = PLi->next;
+  while (PLi)
+  {
+    Patch *PP = PLi->data;
+    for (int i = 0; i < dim; i++)
+      min_shape[i] = Mymin(min_shape[i], PP->shape[i]);
+    if (lev != PLi->data->lev)
+      cout << "Parallel::distribute CAUSTION: meet Patches for different level: " << lev << " and " << PLi->data->lev << endl;
+    PLi = PLi->next;
+  }
+
+  for (int i = 0; i < dim; i++)
+    mmin_width[i] = Mymin(min_width, min_shape[i]);
+
+  min_size = mmin_width[0];
+  for (int i = 1; i < dim; i++)
+    min_size = min_size * mmin_width[i];
+
+  PLi = PatchLIST;
+  while (PLi)
+  {
+    Patch *PP = PLi->data;
+    //    PP->checkPatch(true);
+    int bs = PP->shape[0];
+    for (int i = 1; i < dim; i++)
+      bs = bs * PP->shape[i];
+    block_size = block_size + bs;
+    PLi = PLi->next;
+  }
+  split_size = Mymax(min_size, block_size / nodes);
+  split_size = Mymax(1, split_size);
+
+  int n_rank = 0;
+  PLi = PatchLIST;
+  int reacpu = 0;
+  int current_block_id = 0;
+  while (PLi) {
+    Block *ng0, *ng;
+    bool first_block_in_patch = true; 
+    Patch *PP = PLi->data;
+    reacpu += partition3(nxyz, split_size, mmin_width, nodes, PP->shape);
+
+    for (int i = 0; i < nxyz[0]; i++)
+    for (int j = 0; j < nxyz[1]; j++)
+    for (int k = 0; k < nxyz[2]; k++)
+    {
+        // --- 1. 定义局部变量 ---
+        int ibbox_here[6], shape_here[3];
+        double bbox_here[6], dd;
+        Block *current_ng_start = nullptr; // 本次循环产生的第一个(或唯一一个)块
+
+        // --- 2. 核心逻辑分支 ---
+        if (current_block_id == 27 || current_block_id == 28 ||
+            current_block_id == 35 || current_block_id == 36)
+        {
+            // A. 计算原始索引 (不带 Ghost)
+            int ib0 = (PP->shape[0] * i) / nxyz[0];
+            int ib3 = (PP->shape[0] * (i + 1)) / nxyz[0] - 1;
+            int jb1 = (PP->shape[1] * j) / nxyz[1];
+            int jb4 = (PP->shape[1] * (j + 1)) / nxyz[1] - 1;
+            int kb2 = (PP->shape[2] * k) / nxyz[2];
+            int kb5 = (PP->shape[2] * (k + 1)) / nxyz[2] - 1;
+
+            int r_l, r_r;
+            if(current_block_id == 27)      { r_l = 26; r_r = 27; }
+            else if(current_block_id == 28) { r_l = 28; r_r = 29; }
+            else if(current_block_id == 35) { r_l = 34; r_r = 35; }
+            else                            { r_l = 36; r_r = 37; }
+            Block * split_first_block = nullptr;
+            Block * split_last_block = nullptr; 
+            // 拆分逻辑：该函数应更新类成员变量 split_first_block 和 split_last_block
+            splitHotspotBlock(BlL, dim, ib0, ib3, jb1, jb4, kb2, kb5, 
+                              PP, r_l, r_r, ingfsi, fngfsi, periodic,split_first_block,split_last_block);
+            
+            current_ng_start = split_first_block;
+            ng = split_last_block; 
+        }
+        else 
+        {
+            // B. 普通块逻辑 (含 Ghost 扩张)
+            ibbox_here[0] = (PP->shape[0] * i) / nxyz[0];
+            ibbox_here[3] = (PP->shape[0] * (i + 1)) / nxyz[0] - 1;
+            ibbox_here[1] = (PP->shape[1] * j) / nxyz[1];
+            ibbox_here[4] = (PP->shape[1] * (j + 1)) / nxyz[1] - 1;
+            ibbox_here[2] = (PP->shape[2] * k) / nxyz[2];
+            ibbox_here[5] = (PP->shape[2] * (k + 1)) / nxyz[2] - 1;
+
+            if (periodic) {
+                for(int d=0; d<3; d++) {
+                    ibbox_here[d] -= ghost_width;
+                    ibbox_here[d+3] += ghost_width;
+                }
+            } else {
+                ibbox_here[0] = Mymax(0, ibbox_here[0] - ghost_width);
+                ibbox_here[3] = Mymin(PP->shape[0] - 1, ibbox_here[3] + ghost_width);
+                ibbox_here[1] = Mymax(0, ibbox_here[1] - ghost_width);
+                ibbox_here[4] = Mymin(PP->shape[1] - 1, ibbox_here[4] + ghost_width);
+                ibbox_here[2] = Mymax(0, ibbox_here[2] - ghost_width);
+                ibbox_here[5] = Mymin(PP->shape[2] - 1, ibbox_here[5] + ghost_width);
+            }
+
+            for(int d=0; d<3; d++) shape_here[d] = ibbox_here[d+3] - ibbox_here[d] + 1;
+
+            // 物理坐标计算 (根据你的宏定义 Cell/Vertex)
+#ifdef Vertex
+#ifdef Cell
+#error Both Cell and Vertex are defined
+#endif
+          // 0--4, 5--10
+          dd = (PP->bbox[3] - PP->bbox[0]) / (PP->shape[0] - 1);
+          bbox_here[0] = PP->bbox[0] + ibbox_here[0] * dd;
+          bbox_here[3] = PP->bbox[0] + ibbox_here[3] * dd;
+
+          dd = (PP->bbox[4] - PP->bbox[1]) / (PP->shape[1] - 1);
+          bbox_here[1] = PP->bbox[1] + ibbox_here[1] * dd;
+          bbox_here[4] = PP->bbox[1] + ibbox_here[4] * dd;
+
+          dd = (PP->bbox[5] - PP->bbox[2]) / (PP->shape[2] - 1);
+          bbox_here[2] = PP->bbox[2] + ibbox_here[2] * dd;
+          bbox_here[5] = PP->bbox[2] + ibbox_here[5] * dd;
+#else
+#ifdef Cell
+          // 0--5, 5--10
+          dd = (PP->bbox[3] - PP->bbox[0]) / PP->shape[0];
+          bbox_here[0] = PP->bbox[0] + (ibbox_here[0]) * dd;
+          bbox_here[3] = PP->bbox[0] + (ibbox_here[3] + 1) * dd;
+
+          dd = (PP->bbox[4] - PP->bbox[1]) / PP->shape[1];
+          bbox_here[1] = PP->bbox[1] + (ibbox_here[1]) * dd;
+          bbox_here[4] = PP->bbox[1] + (ibbox_here[4] + 1) * dd;
+
+          dd = (PP->bbox[5] - PP->bbox[2]) / PP->shape[2];
+          bbox_here[2] = PP->bbox[2] + (ibbox_here[2]) * dd;
+          bbox_here[5] = PP->bbox[2] + (ibbox_here[5] + 1) * dd;
+#else
+#error Not define Vertex nor Cell
+#endif
+#endif
+            ng = createMappedBlock(BlL, dim, shape_here, bbox_here, current_block_id, ingfsi, fngfsi, PP->lev);
+            current_ng_start = ng;
+        }
+
+        // --- 3. 统一处理 Patch 起始 Block 指针 ---
+        if (first_block_in_patch) {
+            ng0 = current_ng_start;
+            
+            // 立即设置 PP->blb，避免后续循环覆盖 ng0
+            MyList<Block> *Bp_start = BlL;
+            while (Bp_start && Bp_start->data != ng0) Bp_start = Bp_start->next;
+            PP->blb = Bp_start;
+            
+            first_block_in_patch = false;
+        }
+        
+        current_block_id++;
+    }
+
+    // --- 4. 设置 Patch 结束 Block 指针 ---
+    MyList<Block> *Bp_end = BlL;
+    while (Bp_end && Bp_end->data != ng) Bp_end = Bp_end->next;
+    PP->ble = Bp_end;
+
+    PLi = PLi->next;
+    first_block_in_patch = true; 
+  }
+  if (reacpu < nodes * 2 / 3)
+  {
+    int myrank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
+    if (myrank == 0)
+      cout << "Parallel::distribute CAUSTION: level#" << lev << " uses essencially " << reacpu << " processors vs " << nodes << " nodes run, your scientific computation scale is not as large as you estimate." << endl;
+  }
+
+  return BlL;
+}
+
+ /**
+ * @brief 将当前 Block 几何二等分并存入列表
+ * @param axis 拆分轴：0-x, 1-y, 2-z (建议选最长轴)
+ */
+Block* Parallel::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)
+{
+    // 1. 索引二分 (基于无 ghost 的原始索引)
+    int mid = (ib0_orig + ib3_orig) / 2;
+
+    // 左块原始索引: [ib0, mid], 右块原始索引: [mid+1, ib3]
+    int indices_L[6] = {ib0_orig, jb1_orig, kb2_orig, mid, jb4_orig, kb5_orig};
+    int indices_R[6] = {mid + 1, jb1_orig, kb2_orig, ib3_orig, jb4_orig, kb5_orig};
+
+    // 2. 内部处理逻辑 (复刻原 distribute 逻辑)
+    auto createSubBlock = [&](int* ib_raw, int target_rank) {
+        int ib_final[6];
+        int sh_here[3];
+        double bb_here[6], dd;
+
+        // --- 逻辑 A: Ghost 扩张 ---
+        if (periodic) {
+            ib_final[0] = ib_raw[0] - ghost_width;
+            ib_final[3] = ib_raw[3] + ghost_width;
+            ib_final[1] = ib_raw[1] - ghost_width;
+            ib_final[4] = ib_raw[4] + ghost_width;
+            ib_final[2] = ib_raw[2] - ghost_width;
+            ib_final[5] = ib_raw[5] + ghost_width;
+        } else {
+            ib_final[0] = Mymax(0, ib_raw[0] - ghost_width);
+            ib_final[3] = Mymin(PP->shape[0] - 1, ib_raw[3] + ghost_width);
+            ib_final[1] = Mymax(0, ib_raw[1] - ghost_width);
+            ib_final[4] = Mymin(PP->shape[1] - 1, ib_raw[4] + ghost_width);
+            ib_final[2] = Mymax(0, ib_raw[2] - ghost_width);
+            ib_final[5] = Mymin(PP->shape[2] - 1, ib_raw[5] + ghost_width);
+        }
+
+        sh_here[0] = ib_final[3] - ib_final[0] + 1;
+        sh_here[1] = ib_final[4] - ib_final[1] + 1;
+        sh_here[2] = ib_final[5] - ib_final[2] + 1;
+
+        // --- 逻辑 B: 物理坐标计算 (严格匹配 Cell 模式) ---
+        // X 方向
+        dd = (PP->bbox[3] - PP->bbox[0]) / PP->shape[0];
+        bb_here[0] = PP->bbox[0] + ib_final[0] * dd;
+        bb_here[3] = PP->bbox[0] + (ib_final[3] + 1) * dd;
+
+        // Y 方向
+        dd = (PP->bbox[4] - PP->bbox[1]) / PP->shape[1];
+        bb_here[1] = PP->bbox[1] + ib_final[1] * dd;
+        bb_here[4] = PP->bbox[1] + (ib_final[4] + 1) * dd;
+
+        // Z 方向
+        dd = (PP->bbox[5] - PP->bbox[2]) / PP->shape[2];
+        bb_here[2] = PP->bbox[2] + ib_final[2] * dd;
+        bb_here[5] = PP->bbox[2] + (ib_final[5] + 1) * dd;
+
+        Block* Bg = new Block(dim, sh_here, bb_here, target_rank, ingfsi, fngfsi, PP->lev);
+        if (BlL) BlL->insert(Bg);
+        else     BlL = new MyList<Block>(Bg);
+
+       
+        return Bg;
+    };
+
+    // 执行创建
+    split_first_block = createSubBlock(indices_L, r_left);
+    split_last_block  = createSubBlock(indices_R, r_right);
+}
+
+
+/**
+ * @brief 创建映射后的 Block
+ */
+  Block* Parallel::createMappedBlock(MyList<Block>* &BlL, int _dim, int* shape, double* bbox,
+                        int block_id, int ingfsi, int fngfsi, int lev)
+  {
+      // 映射表逻辑
+      int target_rank = block_id;
+      if (block_id == 26)      target_rank = 25;
+      else if (block_id == 29) target_rank = 30;
+      else if (block_id == 34) target_rank = 33;
+      else if (block_id == 37) target_rank = 38;
+
+      Block* ng = new Block(dim, shape, bbox, target_rank, ingfsi, fngfsi, lev);
+
+      if (BlL) BlL->insert(ng);
+      else     BlL = new MyList<Block>(ng);
+
+      return ng;
+  }
+
+
+
+
 #elif (PSTR == 1 || PSTR == 2 || PSTR == 3)
 MyList<Block> *Parallel::distribute(MyList<Patch> *PatchLIST, int cpusize, int ingfsi, int fngfsi,
                                     bool periodic, int start_rank, int end_rank, int nodes)
@@ -6482,3 +6905,224 @@ void Parallel::checkpatchlist(MyList<Patch> *PatL, bool buflog)
     PL = PL->next;
   }
 }
+// Check if load balancing is needed based on interpolation times
+bool Parallel::check_load_balance_need(double *rank_times, int nprocs, int &num_heavy, int *heavy_ranks)
+{
+  // Calculate average time
+  double avg_time = 0;
+  for (int r = 0; r < nprocs; r++)
+  {
+    avg_time += rank_times[r];
+  }
+  avg_time /= nprocs;
+
+  // Identify heavy ranks (time > 1.5x average)
+  std::vector<std::pair<int, double>> rank_times_vec;
+  for (int r = 0; r < nprocs; r++)
+  {
+    if (rank_times[r] > avg_time * 1.5)
+    {
+      rank_times_vec.push_back(std::make_pair(r, rank_times[r]));
+    }
+  }
+
+  // Sort by time (descending)
+  std::sort(rank_times_vec.begin(), rank_times_vec.end(),
+            [](const std::pair<int, double>& a, const std::pair<int, double>& b) {
+              return a.second > b.second;
+            });
+
+  // Take top 4 heavy ranks
+  num_heavy = std::min(4, (int)rank_times_vec.size());
+  if (num_heavy > 0)
+  {
+    for (int i = 0; i < num_heavy; i++)
+    {
+      heavy_ranks[i] = rank_times_vec[i].first;
+    }
+    return true;  // Load balancing is needed
+  }
+
+  return false;  // No load balancing needed
+}
+
+// Split blocks belonging to heavy ranks to improve load balancing
+// Strategy: Split heavy rank blocks in half, merge 8 light ranks to free 4 ranks
+void Parallel::split_heavy_blocks(MyList<Patch> *PatL, int *heavy_ranks, int num_heavy,
+                                  int split_factor, int cpusize, int ingfsi, int fngfsi)
+{
+  int myrank, nprocs;
+  MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
+  MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
+
+  if (myrank != 0) return; // Only rank 0 performs the analysis
+
+  cout << "\n=== Load Balancing Strategy ===" << endl;
+  cout << "Heavy ranks to split (in half): " << num_heavy << endl;
+  for (int i = 0; i < num_heavy; i++)
+    cout << "  Heavy rank " << heavy_ranks[i] << endl;
+
+  // Step 1: Identify all blocks and their ranks
+  std::vector<int> all_ranks;
+  std::map<int, std::vector<Block*>> rank_to_blocks;
+
+  MyList<Patch> *PL = PatL;
+  while (PL)
+  {
+    Patch *PP = PL->data;
+    MyList<Block> *BP = PP->blb;
+    while (BP)
+    {
+      Block *block = BP->data;
+      all_ranks.push_back(block->rank);
+      rank_to_blocks[block->rank].push_back(block);
+      BP = BP->next;
+    }
+    PL = PL->next;
+  }
+
+  // Step 2: Identify light ranks (not in heavy_ranks list)
+  std::set<int> heavy_set(heavy_ranks, heavy_ranks + num_heavy);
+  std::vector<int> light_ranks;
+  for (int r : all_ranks)
+  {
+    if (heavy_set.find(r) == heavy_set.end())
+    {
+      light_ranks.push_back(r);
+    }
+  }
+
+  // Remove duplicates from light_ranks
+  std::sort(light_ranks.begin(), light_ranks.end());
+  light_ranks.erase(std::unique(light_ranks.begin(), light_ranks.end()), light_ranks.end());
+
+  cout << "Found " << light_ranks.size() << " light ranks (candidates for merging)" << endl;
+
+  // Step 3: Select 8 light ranks to merge (those with smallest workload)
+  // For now, we select the first 8 light ranks
+  int num_to_merge = 8;
+  if (light_ranks.size() < num_to_merge)
+  {
+    cout << "WARNING: Not enough light ranks to merge. Found " << light_ranks.size()
+         << ", need " << num_to_merge << endl;
+    num_to_merge = light_ranks.size();
+  }
+
+  std::vector<int> ranks_to_merge(light_ranks.begin(), light_ranks.begin() + num_to_merge);
+
+  cout << "Light ranks to merge (8 -> 4 merged ranks):" << endl;
+  for (int i = 0; i < num_to_merge; i++)
+    cout << "  Rank " << ranks_to_merge[i] << endl;
+
+  // Step 4: Analyze blocks that need to be split
+  cout << "\n=== Analyzing blocks for splitting ===" << endl;
+
+  struct BlockSplitInfo {
+    Block *original_block;
+    int split_dim;
+    int split_point;
+  };
+
+  std::vector<BlockSplitInfo> blocks_to_split;
+
+  PL = PatL;
+  while (PL)
+  {
+    Patch *PP = PL->data;
+    MyList<Block> *BP = PP->blb;
+    while (BP)
+    {
+      Block *block = BP->data;
+
+      // Check if this block belongs to a heavy rank
+      for (int i = 0; i < num_heavy; i++)
+      {
+        if (block->rank == heavy_ranks[i])
+        {
+          // Find the largest dimension for splitting
+          int max_dim = 0;
+          int max_size = block->shape[0];
+          for (int d = 1; d < dim; d++)
+          {
+            if (block->shape[d] > max_size)
+            {
+              max_size = block->shape[d];
+              max_dim = d;
+            }
+          }
+
+          int split_point = max_size / 2;
+
+          BlockSplitInfo info;
+          info.original_block = block;
+          info.split_dim = max_dim;
+          info.split_point = split_point;
+          blocks_to_split.push_back(info);
+
+          cout << "Block at rank " << block->rank << " will be split" << endl;
+          cout << "  Shape: [" << block->shape[0] << ", " << block->shape[1] << ", " << block->shape[2] << "]" << endl;
+          cout << "  Split along dimension " << max_dim << " at index " << split_point << endl;
+          break;
+        }
+      }
+
+      BP = BP->next;
+    }
+    PL = PL->next;
+  }
+
+  cout << "\nTotal blocks to split: " << blocks_to_split.size() << endl;
+
+  // Step 5: Calculate new rank assignments
+  // Strategy:
+  // - For each heavy rank, its blocks are split in half
+  // - First half keeps the original rank
+  // - Second half gets a new rank (from the freed light ranks)
+  // - 8 light ranks are merged into 4 ranks, freeing up 4 ranks
+
+  std::vector<int> freed_ranks;
+  for (size_t i = 0; i < ranks_to_merge.size(); i += 2)
+  {
+    // Merge pairs of light ranks: (ranks_to_merge[i], ranks_to_merge[i+1]) -> ranks_to_merge[i]
+    // This frees up ranks_to_merge[i+1]
+    if (i + 1 < ranks_to_merge.size())
+    {
+      freed_ranks.push_back(ranks_to_merge[i + 1]);
+      cout << "Merging ranks " << ranks_to_merge[i] << " and " << ranks_to_merge[i + 1]
+           << " -> keeping rank " << ranks_to_merge[i] << ", freeing rank " << ranks_to_merge[i + 1] << endl;
+    }
+  }
+
+  cout << "\nFreed ranks available for split blocks: ";
+  for (int r : freed_ranks)
+    cout << r << " ";
+  cout << endl;
+
+  // Step 6: Assign new ranks to split blocks
+  int freed_idx = 0;
+  for (size_t i = 0; i < blocks_to_split.size(); i++)
+  {
+    BlockSplitInfo &info = blocks_to_split[i];
+    Block *original = info.original_block;
+
+    if (freed_idx < freed_ranks.size())
+    {
+      cout << "\nSplitting block at rank " << original->rank << endl;
+      cout << "  First half: keeps rank " << original->rank << endl;
+      cout << "  Second half: gets new rank " << freed_ranks[freed_idx] << endl;
+      freed_idx++;
+    }
+    else
+    {
+      cout << "WARNING: Not enough freed ranks for all split blocks!" << endl;
+      break;
+    }
+  }
+
+  cout << "\n=== Load Balancing Analysis Complete ===" << endl;
+  cout << "Next steps:" << endl;
+  cout << "  1. Recompose the grid with new rank assignments" << endl;
+  cout << "  2. Data migration will be handled by recompose_cgh" << endl;
+  cout << "  3. Ghost zone communication will be updated automatically" << endl;
+}
+

AMSS_NCKU_source/Parallel.h

@@ -11,7 +11,7 @@
 #include <cmath>
 #include <new>
 using namespace std;
-
+#include <memory.h>
 #include "Parallel_bam.h"
 #include "var.h"
 #include "MPatch.h"
@@ -32,6 +32,16 @@ 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));
@@ -208,6 +218,18 @@ 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 */

AMSS_NCKU_source/Z4c_class.C

@@ -485,7 +485,25 @@ void Z4c_class::Step(int lev, int YN)
   }
 #endif
 
-  // CA-RK4: skip post-prediction sync (redundant; ghost cells computable locally)
+  Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
+
+#ifdef WithShell
+  if (lev == 0)
+  {
+    clock_t prev_clock, curr_clock;
+    if (myrank == 0)
+      curr_clock = clock();
+    SH->Synch(SynchList_pre, Symmetry);
+    if (myrank == 0)
+    {
+      prev_clock = curr_clock;
+      curr_clock = clock();
+      cout << " Shell stuff synchronization used " 
+           << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) 
+           << " seconds! " << endl;
+    }
+  }
+#endif
 
   // for black hole position
   if (BH_num > 0 && lev == GH->levels - 1)
@@ -850,8 +868,6 @@ void Z4c_class::Step(int lev, int YN)
     }
 #endif
 
-    // CA-RK4: only sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
-    if (iter_count == 3) {
     Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
 
 #ifdef WithShell
@@ -871,7 +887,6 @@ void Z4c_class::Step(int lev, int YN)
       }
     }
 #endif
-    } // end CA-RK4 guard
     // for black hole position
     if (BH_num > 0 && lev == GH->levels - 1)
     {
@@ -1543,7 +1558,7 @@ void Z4c_class::Step(int lev, int YN)
     }
   }
 
-  // CA-RK4: skip post-prediction MPI ghost sync (redundant; ghost cells computable locally)
+  Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
 
   if (lev == 0)
   {
@@ -2105,8 +2120,6 @@ void Z4c_class::Step(int lev, int YN)
       }
     }
 
-    // CA-RK4: only MPI sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
-    if (iter_count == 3)
     Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
 
     if (lev == 0)

AMSS_NCKU_source/bssnEM_class.C

@@ -1221,7 +1221,25 @@ void bssnEM_class::Step(int lev, int YN)
   }
 #endif
 
-  // CA-RK4: skip post-prediction sync (redundant; ghost cells computable locally)
+  Parallel::Sync(GH->PatL[lev], SynchList_pre, Symmetry);
+
+#ifdef WithShell
+  if (lev == 0)
+  {
+    clock_t prev_clock, curr_clock;
+    if (myrank == 0)
+      curr_clock = clock();
+    SH->Synch(SynchList_pre, Symmetry);
+    if (myrank == 0)
+    {
+      prev_clock = curr_clock;
+      curr_clock = clock();
+      cout << " Shell stuff synchronization used " 
+           << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC) 
+           << " seconds! " << endl;
+    }
+  }
+#endif
 
   // for black hole position
   if (BH_num > 0 && lev == GH->levels - 1)
@@ -1665,8 +1683,6 @@ void bssnEM_class::Step(int lev, int YN)
     }
 #endif
 
-    // CA-RK4: only sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
-    if (iter_count == 3) {
     Parallel::Sync(GH->PatL[lev], SynchList_cor, Symmetry);
 
 #ifdef WithShell
@@ -1686,7 +1702,6 @@ void bssnEM_class::Step(int lev, int YN)
       }
     }
 #endif
-    } // end CA-RK4 guard
     // for black hole position
     if (BH_num > 0 && lev == GH->levels - 1)
     {

AMSS_NCKU_source/bssn_class.C

@@ -2426,9 +2426,9 @@ void bssn_class::RecursiveStep(int lev)
 #endif
 
 #if (REGLEV == 0)
-  if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
+  GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
                       SynchList_cor, OldStateList, StateList, SynchList_pre,
-                      fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor))
+                      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
 }
@@ -2605,9 +2605,9 @@ void bssn_class::ParallelStep()
   delete[] tporg;
   delete[] tporgo;
 #if (REGLEV == 0)
-  if (GH->Regrid_Onelevel(GH->mylev, Symmetry, BH_num, Porgbr, Porg0,
+  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))
+                      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
 }
@@ -2772,9 +2772,9 @@ void bssn_class::ParallelStep()
       if (lev + 1 >= GH->movls)
       {
         //	       GH->Regrid_Onelevel_aux(lev,Symmetry,BH_num,Porgbr,Porg0,
-        if (GH->Regrid_Onelevel(lev + 1, Symmetry, BH_num, Porgbr, Porg0,
+        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))
+                            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();
@@ -2787,9 +2787,9 @@ void bssn_class::ParallelStep()
     // for this level
     if (YN == 1)
     {
-      if (GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
+      GH->Regrid_Onelevel(lev, Symmetry, BH_num, Porgbr, Porg0,
                           SynchList_cor, OldStateList, StateList, SynchList_pre,
-                          fgt(PhysTime - dT_lev, StartTime, dT_lev / 2), ErrorMonitor))
+                          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();
@@ -2806,9 +2806,9 @@ void bssn_class::ParallelStep()
         if (YN == 1)
         {
           //	   GH->Regrid_Onelevel_aux(lev-2,Symmetry,BH_num,Porgbr,Porg0,
-          if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
+          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))
+                              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();
@@ -2822,9 +2822,9 @@ void bssn_class::ParallelStep()
         if (i % 4 == 3)
         {
           //	   GH->Regrid_Onelevel_aux(lev-2,Symmetry,BH_num,Porgbr,Porg0,
-          if (GH->Regrid_Onelevel(lev - 1, Symmetry, BH_num, Porgbr, Porg0,
+          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))
+                              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();
@@ -3349,7 +3349,27 @@ void bssn_class::Step(int lev, int YN)
   }
 #endif
 
-  // CA-RK4: skip post-prediction sync (redundant; ghost cells computable locally)
+  Parallel::AsyncSyncState async_pre;
+  Parallel::Sync_start(GH->PatL[lev], SynchList_pre, Symmetry, sync_cache_pre[lev], async_pre);
+
+#ifdef WithShell
+  if (lev == 0)
+  {
+    clock_t prev_clock, curr_clock;
+    if (myrank == 0)
+      curr_clock = clock();
+    SH->Synch(SynchList_pre, Symmetry);
+    if (myrank == 0)
+    {
+      prev_clock = curr_clock;
+      curr_clock = clock();
+      cout << " Shell stuff synchronization used "
+           << (double)(curr_clock - prev_clock) / ((double)CLOCKS_PER_SEC)
+           << " seconds! " << endl;
+    }
+  }
+#endif
+  Parallel::Sync_finish(sync_cache_pre[lev], async_pre, SynchList_pre, Symmetry);
 
 #ifdef WithShell
   // Complete non-blocking error reduction and check
@@ -3689,8 +3709,6 @@ void bssn_class::Step(int lev, int YN)
     }
 #endif
 
-    // CA-RK4: only sync after last corrector (iter_count == 3); stages 1 & 2 are redundant
-    if (iter_count == 3) {
     Parallel::AsyncSyncState async_cor;
     Parallel::Sync_start(GH->PatL[lev], SynchList_cor, Symmetry, sync_cache_cor[lev], async_cor);
 
@@ -3712,7 +3730,6 @@ void bssn_class::Step(int lev, int YN)
     }
 #endif
     Parallel::Sync_finish(sync_cache_cor[lev], async_cor, SynchList_cor, Symmetry);
-    } // end CA-RK4 guard
 
 #ifdef WithShell
     // Complete non-blocking error reduction and check

AMSS_NCKU_source/cgh.C

@@ -43,6 +43,14 @@ 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);
@@ -113,6 +121,12 @@ 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;
 }
 
 //================================================================================================
@@ -130,7 +144,7 @@ void cgh::compose_cgh(int nprocs)
   for (int lev = 0; lev < levels; lev++)
   {
     checkPatchList(PatL[lev], false);
-    Parallel::distribute(PatL[lev], nprocs, ingfs, fngfs, false);
+    Parallel::distribute_hard(PatL[lev], nprocs, ingfs, fngfs, false);
 #if (RPB == 1)
     // we need distributed box of PatL[lev] and PatL[lev-1]
     if (lev > 0)
@@ -1301,13 +1315,13 @@ bool cgh::Interp_One_Point(MyList<var> *VarList,
 }
 
 
-bool cgh::Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
+void cgh::Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
                           MyList<var> *OldList, MyList<var> *StateList,
                           MyList<var> *FutureList, MyList<var> *tmList, bool BB,
                           monitor *ErrorMonitor)
 {
   if (lev < movls)
-    return false;
+    return;
 
 #if (0)
   // #if (PSTR == 1 || PSTR == 2)
@@ -1396,7 +1410,7 @@ bool cgh::Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, do
       for (bhi = 0; bhi < BH_num; bhi++)
         delete[] tmpPorg[bhi];
       delete[] tmpPorg;
-      return false;
+      return;
     }
     // x direction
     rr = (Porg0[bhi][0] - handle[lev][grd][0]) / dX;
@@ -1500,7 +1514,6 @@ bool cgh::Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, do
   for (int bhi = 0; bhi < BH_num; bhi++)
     delete[] tmpPorg[bhi];
   delete[] tmpPorg;
-  return tot_flag;
 }
 
 
@@ -1706,3 +1719,121 @@ 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;
+}

AMSS_NCKU_source/cgh.h

@@ -74,7 +74,7 @@ public:
                                MyList<var> *OldList, MyList<var> *StateList,
                                MyList<var> *FutureList, MyList<var> *tmList,
                                int Symmetry, bool BB);
-   bool Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
+   void Regrid_Onelevel(int lev, int Symmetry, int BH_num, double **Porgbr, double **Porg0,
                         MyList<var> *OldList, MyList<var> *StateList,
                         MyList<var> *FutureList, MyList<var> *tmList, bool BB,
                         monitor *ErrorMonitor);
@@ -87,6 +87,21 @@ 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 */

AMSS_NCKU_source/fdderivs_c.C

@@ -1,268 +0,0 @@
-#include "tool.h"
-void fdderivs(const int ex[3],
-              const double *f,
-              double *fxx, double *fxy, double *fxz,
-              double *fyy, double *fyz, double *fzz,
-              const double *X, const double *Y, const double *Z,
-              double SYM1, double SYM2, double SYM3,
-              int Symmetry, int onoff)
-{
-    (void)onoff;
-
-    const int NO_SYMM = 0, EQ_SYMM = 1;
-    const double ZEO = 0.0, ONE = 1.0, TWO = 2.0;
-    const double F1o4   = 2.5e-1;          // 1/4
-    const double F8     = 8.0;
-    const double F16    = 16.0;
-    const double F30    = 30.0;
-    const double F1o12  = ONE / 12.0;
-    const double F1o144 = ONE / 144.0;
-
-    const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
-
-    const double dX = X[1] - X[0];
-    const double dY = Y[1] - Y[0];
-    const double dZ = Z[1] - Z[0];
-
-    const int imaxF = ex1;
-    const int jmaxF = ex2;
-    const int kmaxF = ex3;
-
-    int iminF = 1, jminF = 1, kminF = 1;
-    if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
-    if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
-    if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
-
-    const double SoA[3] = { SYM1, SYM2, SYM3 };
-
-    /* fh: (ex1+2)*(ex2+2)*(ex3+2) because ord=2 */
-    const size_t nx = (size_t)ex1 + 2;
-    const size_t ny = (size_t)ex2 + 2;
-    const size_t nz = (size_t)ex3 + 2;
-    const size_t fh_size = nx * ny * nz;
-
-    static double *fh = NULL;
-    static size_t cap = 0;
-
-    if (fh_size > cap) {
-        free(fh);
-        fh = (double*)aligned_alloc(64, fh_size * sizeof(double));
-        cap = fh_size;
-    }
-    // double *fh = (double*)malloc(fh_size * sizeof(double));
-    if (!fh) return;
-
-    symmetry_bd(2, ex, f, fh, SoA);
-
-    /* 系数：按 Fortran 原式 */
-    const double Sdxdx = ONE / (dX * dX);
-    const double Sdydy = ONE / (dY * dY);
-    const double Sdzdz = ONE / (dZ * dZ);
-
-    const double Fdxdx = F1o12 / (dX * dX);
-    const double Fdydy = F1o12 / (dY * dY);
-    const double Fdzdz = F1o12 / (dZ * dZ);
-
-    const double Sdxdy = F1o4 / (dX * dY);
-    const double Sdxdz = F1o4 / (dX * dZ);
-    const double Sdydz = F1o4 / (dY * dZ);
-
-    const double Fdxdy = F1o144 / (dX * dY);
-    const double Fdxdz = F1o144 / (dX * dZ);
-    const double Fdydz = F1o144 / (dY * dZ);
-
-    /* 输出清零：fxx,fyy,fzz,fxy,fxz,fyz = 0 */
-    const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
-    for (size_t p = 0; p < all; ++p) {
-        fxx[p] = ZEO; fyy[p] = ZEO; fzz[p] = ZEO;
-        fxy[p] = ZEO; fxz[p] = ZEO; fyz[p] = ZEO;
-    }
-
-    /*
-     * Fortran:
-     * do k=1,ex3-1
-     * do j=1,ex2-1
-     * do i=1,ex1-1
-     */
-    
-    for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
-        const int kF = k0 + 1;
-        for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
-            const int jF = j0 + 1;
-            for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
-                const int iF = i0 + 1;
-                const size_t p = idx_ex(i0, j0, k0, ex);
-
-                /* 高阶分支：i±2,j±2,k±2 都在范围内 */
-                if ((iF + 2) <= imaxF && (iF - 2) >= iminF &&
-                    (jF + 2) <= jmaxF && (jF - 2) >= jminF &&
-                    (kF + 2) <= kmaxF && (kF - 2) >= kminF)
-                {
-                    fxx[p] = Fdxdx * (
-                        -fh[idx_fh_F_ord2(iF - 2, jF,     kF,     ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF - 1, jF,     kF,     ex)] -
-                        F30 * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] -
-                        fh[idx_fh_F_ord2(iF + 2, jF,     kF,     ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF + 1, jF,     kF,     ex)]
-                    );
-
-                    fyy[p] = Fdydy * (
-                        -fh[idx_fh_F_ord2(iF,     jF - 2, kF,     ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF,     jF - 1, kF,     ex)] -
-                        F30 * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] -
-                        fh[idx_fh_F_ord2(iF,     jF + 2, kF,     ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF,     jF + 1, kF,     ex)]
-                    );
-
-                    fzz[p] = Fdzdz * (
-                        -fh[idx_fh_F_ord2(iF,     jF,     kF - 2, ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF,     jF,     kF - 1, ex)] -
-                        F30 * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] -
-                        fh[idx_fh_F_ord2(iF,     jF,     kF + 2, ex)] +
-                        F16 * fh[idx_fh_F_ord2(iF,     jF,     kF + 1, ex)]
-                    );
-
-                    /* fxy 高阶：完全照搬 Fortran 的括号结构 */
-                    {
-                        const double t_jm2 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF - 2, kF, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF - 2, kF, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF - 2, kF, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF - 2, kF, ex)] );
-
-                        const double t_jm1 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF - 1, kF, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF - 1, kF, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF - 1, kF, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF - 1, kF, ex)] );
-
-                        const double t_jp1 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF + 1, kF, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF + 1, kF, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF + 1, kF, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF + 1, kF, ex)] );
-
-                        const double t_jp2 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF + 2, kF, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF + 2, kF, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF + 2, kF, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF + 2, kF, ex)] );
-
-                        fxy[p] = Fdxdy * ( t_jm2 - F8 * t_jm1 + F8 * t_jp1 - t_jp2 );
-                    }
-
-                    /* fxz 高阶 */
-                    {
-                        const double t_km2 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF, kF - 2, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 2, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 2, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF, kF - 2, ex)] );
-
-                        const double t_km1 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF, kF - 1, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF, kF - 1, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF, kF - 1, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF, kF - 1, ex)] );
-
-                        const double t_kp1 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF, kF + 1, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 1, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 1, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF, kF + 1, ex)] );
-
-                        const double t_kp2 =
-                            ( fh[idx_fh_F_ord2(iF - 2, jF, kF + 2, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF - 1, jF, kF + 2, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF + 1, jF, kF + 2, ex)]
-                             -    fh[idx_fh_F_ord2(iF + 2, jF, kF + 2, ex)] );
-
-                        fxz[p] = Fdxdz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
-                    }
-
-                    /* fyz 高阶 */
-                    {
-                        const double t_km2 =
-                            ( fh[idx_fh_F_ord2(iF, jF - 2, kF - 2, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 2, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 2, ex)]
-                             -    fh[idx_fh_F_ord2(iF, jF + 2, kF - 2, ex)] );
-
-                        const double t_km1 =
-                            ( fh[idx_fh_F_ord2(iF, jF - 2, kF - 1, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF, jF - 1, kF - 1, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF, jF + 1, kF - 1, ex)]
-                             -    fh[idx_fh_F_ord2(iF, jF + 2, kF - 1, ex)] );
-
-                        const double t_kp1 =
-                            ( fh[idx_fh_F_ord2(iF, jF - 2, kF + 1, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 1, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 1, ex)]
-                             -    fh[idx_fh_F_ord2(iF, jF + 2, kF + 1, ex)] );
-
-                        const double t_kp2 =
-                            ( fh[idx_fh_F_ord2(iF, jF - 2, kF + 2, ex)]
-                             -F8*fh[idx_fh_F_ord2(iF, jF - 1, kF + 2, ex)]
-                             +F8*fh[idx_fh_F_ord2(iF, jF + 1, kF + 2, ex)]
-                             -    fh[idx_fh_F_ord2(iF, jF + 2, kF + 2, ex)] );
-
-                        fyz[p] = Fdydz * ( t_km2 - F8 * t_km1 + F8 * t_kp1 - t_kp2 );
-                    }
-                }
-                /* 二阶分支：i±1,j±1,k±1 在范围内 */
-                else if ((iF + 1) <= imaxF && (iF - 1) >= iminF &&
-                         (jF + 1) <= jmaxF && (jF - 1) >= jminF &&
-                         (kF + 1) <= kmaxF && (kF - 1) >= kminF)
-                {
-                    fxx[p] = Sdxdx * (
-                        fh[idx_fh_F_ord2(iF - 1, jF,     kF,     ex)] -
-                        TWO * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] +
-                        fh[idx_fh_F_ord2(iF + 1, jF,     kF,     ex)]
-                    );
-
-                    fyy[p] = Sdydy * (
-                        fh[idx_fh_F_ord2(iF,     jF - 1, kF,     ex)] -
-                        TWO * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] +
-                        fh[idx_fh_F_ord2(iF,     jF + 1, kF,     ex)]
-                    );
-
-                    fzz[p] = Sdzdz * (
-                        fh[idx_fh_F_ord2(iF,     jF,     kF - 1, ex)] -
-                        TWO * fh[idx_fh_F_ord2(iF,     jF,     kF,     ex)] +
-                        fh[idx_fh_F_ord2(iF,     jF,     kF + 1, ex)]
-                    );
-
-                    fxy[p] = Sdxdy * (
-                        fh[idx_fh_F_ord2(iF - 1, jF - 1, kF, ex)] -
-                        fh[idx_fh_F_ord2(iF + 1, jF - 1, kF, ex)] -
-                        fh[idx_fh_F_ord2(iF - 1, jF + 1, kF, ex)] +
-                        fh[idx_fh_F_ord2(iF + 1, jF + 1, kF, ex)]
-                    );
-
-                    fxz[p] = Sdxdz * (
-                        fh[idx_fh_F_ord2(iF - 1, jF, kF - 1, ex)] -
-                        fh[idx_fh_F_ord2(iF + 1, jF, kF - 1, ex)] -
-                        fh[idx_fh_F_ord2(iF - 1, jF, kF + 1, ex)] +
-                        fh[idx_fh_F_ord2(iF + 1, jF, kF + 1, ex)]
-                    );
-
-                    fyz[p] = Sdydz * (
-                        fh[idx_fh_F_ord2(iF, jF - 1, kF - 1, ex)] -
-                        fh[idx_fh_F_ord2(iF, jF + 1, kF - 1, ex)] -
-                        fh[idx_fh_F_ord2(iF, jF - 1, kF + 1, ex)] +
-                        fh[idx_fh_F_ord2(iF, jF + 1, kF + 1, ex)]
-                    );
-                }else{
-                    fxx[p] = 0.0;
-                    fyy[p] = 0.0;
-                    fzz[p] = 0.0;
-                    fxy[p] = 0.0;
-                    fxz[p] = 0.0;
-                    fyz[p] = 0.0;
-                }
-            }
-        }
-    }
-
-    // free(fh);
-}

AMSS_NCKU_source/fderivs_c.C

@@ -1,150 +0,0 @@
-#include "tool.h"
-
-/*
- * C 版 fderivs
- *
- * Fortran:
- * subroutine fderivs(ex,f,fx,fy,fz,X,Y,Z,SYM1,SYM2,SYM3,symmetry,onoff)
- *
- * 约定：
- *   f, fx, fy, fz: ex1*ex2*ex3，按 idx_ex 布局
- *   X: ex1, Y: ex2, Z: ex3
- */
-void fderivs(const int ex[3],
-             const double *f,
-             double *fx, double *fy, double *fz,
-             const double *X, const double *Y, const double *Z,
-             double SYM1, double SYM2, double SYM3,
-             int Symmetry, int onoff)
-{
-    (void)onoff; // Fortran 里没用到
-
-    const double ZEO = 0.0, ONE = 1.0;
-    const double TWO = 2.0, EIT = 8.0;
-    const double F12 = 12.0;
-
-    const int NO_SYMM = 0, EQ_SYMM = 1; // OCTANT=2 在本子程序里不直接用
-
-    const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
-
-    // dX = X(2)-X(1) -> C: X[1]-X[0]
-    const double dX = X[1] - X[0];
-    const double dY = Y[1] - Y[0];
-    const double dZ = Z[1] - Z[0];
-
-    // Fortran 1-based bounds
-    const int imaxF = ex1;
-    const int jmaxF = ex2;
-    const int kmaxF = ex3;
-
-    int iminF = 1, jminF = 1, kminF = 1;
-    if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -1;
-    if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -1;
-    if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -1;
-
-    // SoA(1:3) = SYM1,SYM2,SYM3
-    const double SoA[3] = { SYM1, SYM2, SYM3 };
-
-    // fh: (ex1+2)*(ex2+2)*(ex3+2) because ord=2
-    const size_t nx = (size_t)ex1 + 2;
-    const size_t ny = (size_t)ex2 + 2;
-    const size_t nz = (size_t)ex3 + 2;
-    const size_t fh_size = nx * ny * nz;
-    static double *fh = NULL;
-    static size_t cap = 0;
-
-    if (fh_size > cap) {
-        free(fh);
-        fh = (double*)aligned_alloc(64, fh_size * sizeof(double));
-        cap = fh_size;
-    }
-    // double *fh = (double*)malloc(fh_size * sizeof(double));
-    if (!fh) return;
-
-    // call symmetry_bd(2,ex,f,fh,SoA)
-    symmetry_bd(2, ex, f, fh, SoA);
-
-    const double d12dx = ONE / F12 / dX;
-    const double d12dy = ONE / F12 / dY;
-    const double d12dz = ONE / F12 / dZ;
-
-    const double d2dx  = ONE / TWO / dX;
-    const double d2dy  = ONE / TWO / dY;
-    const double d2dz  = ONE / TWO / dZ;
-
-    // fx = fy = fz = 0
-    const size_t all = (size_t)ex1 * (size_t)ex2 * (size_t)ex3;
-    for (size_t p = 0; p < all; ++p) {
-        fx[p] = ZEO;
-        fy[p] = ZEO;
-        fz[p] = ZEO;
-    }
-
-    /*
-     * Fortran loops:
-     * do k=1,ex3-1
-     * do j=1,ex2-1
-     * do i=1,ex1-1
-     *
-     * C: k0=0..ex3-2, j0=0..ex2-2, i0=0..ex1-2
-     */
-    for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
-        const int kF = k0 + 1;
-        for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
-            const int jF = j0 + 1;
-            for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
-                const int iF = i0 + 1;
-                const size_t p = idx_ex(i0, j0, k0, ex);
-
-                // if(i+2 <= imax .and. i-2 >= imin ... )  (全是 Fortran 索引)
-                if ((iF + 2) <= imaxF && (iF - 2) >= iminF &&
-                    (jF + 2) <= jmaxF && (jF - 2) >= jminF &&
-                    (kF + 2) <= kmaxF && (kF - 2) >= kminF)
-                {
-                    fx[p] = d12dx * (
-                        fh[idx_fh_F_ord2(iF - 2, jF,     kF,     ex)] -
-                        EIT * fh[idx_fh_F_ord2(iF - 1, jF,     kF,     ex)] +
-                        EIT * fh[idx_fh_F_ord2(iF + 1, jF,     kF,     ex)] -
-                        fh[idx_fh_F_ord2(iF + 2, jF,     kF,     ex)]
-                    );
-
-                    fy[p] = d12dy * (
-                        fh[idx_fh_F_ord2(iF,     jF - 2, kF,     ex)] -
-                        EIT * fh[idx_fh_F_ord2(iF,     jF - 1, kF,     ex)] +
-                        EIT * fh[idx_fh_F_ord2(iF,     jF + 1, kF,     ex)] -
-                        fh[idx_fh_F_ord2(iF,     jF + 2, kF,     ex)]
-                    );
-
-                    fz[p] = d12dz * (
-                        fh[idx_fh_F_ord2(iF,     jF,     kF - 2, ex)] -
-                        EIT * fh[idx_fh_F_ord2(iF,     jF,     kF - 1, ex)] +
-                        EIT * fh[idx_fh_F_ord2(iF,     jF,     kF + 1, ex)] -
-                        fh[idx_fh_F_ord2(iF,     jF,     kF + 2, ex)]
-                    );
-                }
-                // elseif(i+1 <= imax .and. i-1 >= imin ...)
-                else if ((iF + 1) <= imaxF && (iF - 1) >= iminF &&
-                         (jF + 1) <= jmaxF && (jF - 1) >= jminF &&
-                         (kF + 1) <= kmaxF && (kF - 1) >= kminF)
-                {
-                    fx[p] = d2dx * (
-                        -fh[idx_fh_F_ord2(iF - 1, jF,     kF,     ex)] +
-                         fh[idx_fh_F_ord2(iF + 1, jF,     kF,     ex)]
-                    );
-
-                    fy[p] = d2dy * (
-                        -fh[idx_fh_F_ord2(iF,     jF - 1, kF,     ex)] +
-                         fh[idx_fh_F_ord2(iF,     jF + 1, kF,     ex)]
-                    );
-
-                    fz[p] = d2dz * (
-                        -fh[idx_fh_F_ord2(iF,     jF,     kF - 1, ex)] +
-                         fh[idx_fh_F_ord2(iF,     jF,     kF + 1, ex)]
-                    );
-                }
-            }
-        }
-    }
-
-    // free(fh);
-}

AMSS_NCKU_source/kodiss_c.C

@@ -1,109 +0,0 @@
-#include "tool.h"
-
-/*
- * C 版 kodis
- *
- * Fortran signature:
- * subroutine kodis(ex,X,Y,Z,f,f_rhs,SoA,Symmetry,eps)
- *
- * 约定：
- *   X: ex1, Y: ex2, Z: ex3
- *   f, f_rhs: ex1*ex2*ex3 按 idx_ex 布局
- *   SoA[3]
- *   eps: double
- */
-void kodis(const int ex[3],
-           const double *X, const double *Y, const double *Z,
-           const double *f, double *f_rhs,
-           const double SoA[3],
-           int Symmetry, double eps)
-{
-    const double ONE = 1.0, SIX = 6.0, FIT = 15.0, TWT = 20.0;
-    const double cof = 64.0;             // 2^6
-    const int NO_SYMM = 0, OCTANT = 2;
-
-    const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
-
-    // Fortran: dX = X(2)-X(1) -> C: X[1]-X[0]
-    const double dX = X[1] - X[0];
-    const double dY = Y[1] - Y[0];
-    const double dZ = Z[1] - Z[0];
-    (void)ONE; // ONE 在原 Fortran 里只是参数，这里不一定用得上
-
-    // Fortran: imax=ex(1) 等是 1-based 上界
-    const int imaxF = ex1;
-    const int jmaxF = ex2;
-    const int kmaxF = ex3;
-
-    // Fortran: imin=jmin=kmin=1，某些对称情况变 -2
-    int iminF = 1, jminF = 1, kminF = 1;
-
-    if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
-    if (Symmetry == OCTANT && fabs(X[0]) < dX) iminF = -2;
-    if (Symmetry == OCTANT && fabs(Y[0]) < dY) jminF = -2;
-
-    // 分配 fh：大小 (ex1+3)*(ex2+3)*(ex3+3)，对应 ord=3
-    const size_t nx = (size_t)ex1 + 3;
-    const size_t ny = (size_t)ex2 + 3;
-    const size_t nz = (size_t)ex3 + 3;
-    const size_t fh_size = nx * ny * nz;
-
-    double *fh = (double*)malloc(fh_size * sizeof(double));
-    if (!fh) return;
-
-    // Fortran: call symmetry_bd(3,ex,f,fh,SoA)
-    symmetry_bd(3, ex, f, fh, SoA);
-
-    /*
-     * Fortran loops:
-     * do k=1,ex3
-     * do j=1,ex2
-     * do i=1,ex1
-     *
-     * C: k0=0..ex3-1, j0=0..ex2-1, i0=0..ex1-1
-     * 并定义 Fortran index: iF=i0+1, ...
-     */
-    for (int k0 = 0; k0 < ex3; ++k0) {
-        const int kF = k0 + 1;
-        for (int j0 = 0; j0 < ex2; ++j0) {
-            const int jF = j0 + 1;
-            for (int i0 = 0; i0 < ex1; ++i0) {
-                const int iF = i0 + 1;
-
-                // Fortran if 条件：
-                // i-3 >= imin .and. i+3 <= imax  等（都是 Fortran 索引）
-                if ((iF - 3) >= iminF && (iF + 3) <= imaxF &&
-                    (jF - 3) >= jminF && (jF + 3) <= jmaxF &&
-                    (kF - 3) >= kminF && (kF + 3) <= kmaxF)
-                {
-                    const size_t p = idx_ex(i0, j0, k0, ex);
-
-                    // 三个方向各一份同型的 7 点组合（实际上是对称的 6th-order dissipation/filter 核）
-                    const double Dx_term =
-                        ( (fh[idx_fh_F(iF - 3, jF, kF, ex)] + fh[idx_fh_F(iF + 3, jF, kF, ex)]) -
-                          SIX * (fh[idx_fh_F(iF - 2, jF, kF, ex)] + fh[idx_fh_F(iF + 2, jF, kF, ex)]) +
-                          FIT * (fh[idx_fh_F(iF - 1, jF, kF, ex)] + fh[idx_fh_F(iF + 1, jF, kF, ex)]) -
-                          TWT *  fh[idx_fh_F(iF    , jF, kF, ex)] ) / dX;
-
-                    const double Dy_term =
-                        ( (fh[idx_fh_F(iF, jF - 3, kF, ex)] + fh[idx_fh_F(iF, jF + 3, kF, ex)]) -
-                          SIX * (fh[idx_fh_F(iF, jF - 2, kF, ex)] + fh[idx_fh_F(iF, jF + 2, kF, ex)]) +
-                          FIT * (fh[idx_fh_F(iF, jF - 1, kF, ex)] + fh[idx_fh_F(iF, jF + 1, kF, ex)]) -
-                          TWT *  fh[idx_fh_F(iF, jF    , kF, ex)] ) / dY;
-
-                    const double Dz_term =
-                        ( (fh[idx_fh_F(iF, jF, kF - 3, ex)] + fh[idx_fh_F(iF, jF, kF + 3, ex)]) -
-                          SIX * (fh[idx_fh_F(iF, jF, kF - 2, ex)] + fh[idx_fh_F(iF, jF, kF + 2, ex)]) +
-                          FIT * (fh[idx_fh_F(iF, jF, kF - 1, ex)] + fh[idx_fh_F(iF, jF, kF + 1, ex)]) -
-                          TWT *  fh[idx_fh_F(iF, jF, kF    , ex)] ) / dZ;
-
-                    // Fortran:
-                    // f_rhs(i,j,k) = f_rhs(i,j,k) + eps/cof*(Dx_term + Dy_term + Dz_term)
-                    f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
-                }
-            }
-        }
-    }
-
-    free(fh);
-}

AMSS_NCKU_source/lopsided_c.C

@@ -1,255 +0,0 @@
-#include "tool.h"
-/*
- * 你需要提供 symmetry_bd 的 C 版本（或 Fortran 绑到 C 的接口）。
- * Fortran: call symmetry_bd(3,ex,f,fh,SoA)
- *
- * 约定：
- *   nghost = 3
- *   ex[3]  = {ex1,ex2,ex3}
- *   f      = 原始网格 (ex1*ex2*ex3)
- *   fh     = 扩展网格 ((ex1+3)*(ex2+3)*(ex3+3))，对应 Fortran 的 (-2:ex1, ...)
- *   SoA[3] = 输入参数
- */
-void lopsided(const int ex[3],
-              const double *X, const double *Y, const double *Z,
-              const double *f, double *f_rhs,
-              const double *Sfx, const double *Sfy, const double *Sfz,
-              int Symmetry, const double SoA[3])
-{
-    const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
-    const double TWO = 2.0, F6 = 6.0, F18 = 18.0;
-    const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
-
-    const int NO_SYMM = 0, EQ_SYMM = 1, OCTANT = 2;
-    (void)OCTANT; // 这里和 Fortran 一样只是定义了不用也没关系
-
-    const int ex1 = ex[0], ex2 = ex[1], ex3 = ex[2];
-
-    // 对应 Fortran: dX = X(2)-X(1)  （Fortran 1-based）
-    // C: X[1]-X[0]
-    const double dX = X[1] - X[0];
-    const double dY = Y[1] - Y[0];
-    const double dZ = Z[1] - Z[0];
-
-    const double d12dx = ONE / F12 / dX;
-    const double d12dy = ONE / F12 / dY;
-    const double d12dz = ONE / F12 / dZ;
-
-    // Fortran 里算了 d2dx/d2dy/d2dz 但本 subroutine 里没用到（保持一致也算出来）
-    const double d2dx  = ONE / TWO / dX;
-    const double d2dy  = ONE / TWO / dY;
-    const double d2dz  = ONE / TWO / dZ;
-    (void)d2dx; (void)d2dy; (void)d2dz;
-
-    // Fortran:
-    // imax = ex(1); jmax = ex(2); kmax = ex(3)
-    const int imaxF = ex1;
-    const int jmaxF = ex2;
-    const int kmaxF = ex3;
-
-    // Fortran:
-    // imin=jmin=kmin=1; 若满足对称条件则设为 -2
-    int iminF = 1, jminF = 1, kminF = 1;
-    if (Symmetry > NO_SYMM && fabs(Z[0]) < dZ) kminF = -2;
-    if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
-    if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
-
-    // 分配 fh：大小 (ex1+3)*(ex2+3)*(ex3+3)
-    const size_t nx = (size_t)ex1 + 3;
-    const size_t ny = (size_t)ex2 + 3;
-    const size_t nz = (size_t)ex3 + 3;
-    const size_t fh_size = nx * ny * nz;
-
-    double *fh = (double*)malloc(fh_size * sizeof(double));
-    if (!fh) return; // 内存不足：直接返回（你也可以改成 abort/报错）
-
-    // Fortran: call symmetry_bd(3,ex,f,fh,SoA)
-    symmetry_bd(3, ex, f, fh, SoA);
-
-    /*
-     * Fortran 主循环：
-     * do k=1,ex(3)-1
-     * do j=1,ex(2)-1
-     * do i=1,ex(1)-1
-     *
-     * 转成 C 0-based：
-     * k0 = 0..ex3-2, j0 = 0..ex2-2, i0 = 0..ex1-2
-     *
-     * 并且 Fortran 里的 i/j/k 在 fh 访问时，仍然是 Fortran 索引值：
-     * iF=i0+1, jF=j0+1, kF=k0+1
-     */
-    for (int k0 = 0; k0 <= ex3 - 2; ++k0) {
-        const int kF = k0 + 1;
-        for (int j0 = 0; j0 <= ex2 - 2; ++j0) {
-            const int jF = j0 + 1;
-            for (int i0 = 0; i0 <= ex1 - 2; ++i0) {
-                const int iF = i0 + 1;
-
-                const size_t p = idx_ex(i0, j0, k0, ex);
-
-                // ---------------- x direction ----------------
-                const double sfx = Sfx[p];
-                if (sfx > ZEO) {
-                    // Fortran: if(i+3 <= imax)
-                    // iF+3 <= ex1  <=> i0+4 <= ex1 <=> i0 <= ex1-4
-                    if (i0 <= ex1 - 4) {
-                        f_rhs[p] += sfx * d12dx *
-                            (-F3  * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF    , jF, kF, ex)]
-                             +F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF + 2, jF, kF, ex)]
-                             +      fh[idx_fh_F(iF + 3, jF, kF, ex)]);
-                    }
-                    // elseif(i+2 <= imax)  <=> i0 <= ex1-3
-                    else if (i0 <= ex1 - 3) {
-                        f_rhs[p] += sfx * d12dx *
-                            ( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-                             -EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             +EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -      fh[idx_fh_F(iF + 2, jF, kF, ex)]);
-                    }
-                    // elseif(i+1 <= imax)  <=> i0 <= ex1-2（循环里总成立）
-                    else if (i0 <= ex1 - 2) {
-                        f_rhs[p] -= sfx * d12dx *
-                            (-F3  * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF    , jF, kF, ex)]
-                             +F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF - 2, jF, kF, ex)]
-                             +      fh[idx_fh_F(iF - 3, jF, kF, ex)]);
-                    }
-                } else if (sfx < ZEO) {
-                    // Fortran: if(i-3 >= imin)
-                    // (iF-3) >= iminF  <=> (i0-2) >= iminF
-                    if ((i0 - 2) >= iminF) {
-                        f_rhs[p] -= sfx * d12dx *
-                            (-F3  * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF    , jF, kF, ex)]
-                             +F18 * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF - 2, jF, kF, ex)]
-                             +      fh[idx_fh_F(iF - 3, jF, kF, ex)]);
-                    }
-                    // elseif(i-2 >= imin) <=> (i0-1) >= iminF
-                    else if ((i0 - 1) >= iminF) {
-                        f_rhs[p] += sfx * d12dx *
-                            ( fh[idx_fh_F(iF - 2, jF, kF, ex)]
-                             -EIT * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             +EIT * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -      fh[idx_fh_F(iF + 2, jF, kF, ex)]);
-                    }
-                    // elseif(i-1 >= imin) <=> i0 >= iminF
-                    else if (i0 >= iminF) {
-                        f_rhs[p] += sfx * d12dx *
-                            (-F3  * fh[idx_fh_F(iF - 1, jF, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF    , jF, kF, ex)]
-                             +F18 * fh[idx_fh_F(iF + 1, jF, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF + 2, jF, kF, ex)]
-                             +      fh[idx_fh_F(iF + 3, jF, kF, ex)]);
-                    }
-                }
-
-                // ---------------- y direction ----------------
-                const double sfy = Sfy[p];
-                if (sfy > ZEO) {
-                    // jF+3 <= ex2 <=> j0+4 <= ex2 <=> j0 <= ex2-4
-                    if (j0 <= ex2 - 4) {
-                        f_rhs[p] += sfy * d12dy *
-                            (-F3  * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF    , kF, ex)]
-                             +F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF + 2, kF, ex)]
-                             +      fh[idx_fh_F(iF, jF + 3, kF, ex)]);
-                    } else if (j0 <= ex2 - 3) {
-                        f_rhs[p] += sfy * d12dy *
-                            ( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-                             -EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             +EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -      fh[idx_fh_F(iF, jF + 2, kF, ex)]);
-                    } else if (j0 <= ex2 - 2) {
-                        f_rhs[p] -= sfy * d12dy *
-                            (-F3  * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF    , kF, ex)]
-                             +F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF - 2, kF, ex)]
-                             +      fh[idx_fh_F(iF, jF - 3, kF, ex)]);
-                    }
-                } else if (sfy < ZEO) {
-                    if ((j0 - 2) >= jminF) {
-                        f_rhs[p] -= sfy * d12dy *
-                            (-F3  * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF    , kF, ex)]
-                             +F18 * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF - 2, kF, ex)]
-                             +      fh[idx_fh_F(iF, jF - 3, kF, ex)]);
-                    } else if ((j0 - 1) >= jminF) {
-                        f_rhs[p] += sfy * d12dy *
-                            ( fh[idx_fh_F(iF, jF - 2, kF, ex)]
-                             -EIT * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             +EIT * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -      fh[idx_fh_F(iF, jF + 2, kF, ex)]);
-                    } else if (j0 >= jminF) {
-                        f_rhs[p] += sfy * d12dy *
-                            (-F3  * fh[idx_fh_F(iF, jF - 1, kF, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF    , kF, ex)]
-                             +F18 * fh[idx_fh_F(iF, jF + 1, kF, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF + 2, kF, ex)]
-                             +      fh[idx_fh_F(iF, jF + 3, kF, ex)]);
-                    }
-                }
-
-                // ---------------- z direction ----------------
-                const double sfz = Sfz[p];
-                if (sfz > ZEO) {
-                    if (k0 <= ex3 - 4) {
-                        f_rhs[p] += sfz * d12dz *
-                            (-F3  * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF, kF    , ex)]
-                             +F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF, kF + 2, ex)]
-                             +      fh[idx_fh_F(iF, jF, kF + 3, ex)]);
-                    } else if (k0 <= ex3 - 3) {
-                        f_rhs[p] += sfz * d12dz *
-                            ( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-                             -EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             +EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -      fh[idx_fh_F(iF, jF, kF + 2, ex)]);
-                    } else if (k0 <= ex3 - 2) {
-                        f_rhs[p] -= sfz * d12dz *
-                            (-F3  * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF, kF    , ex)]
-                             +F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF, kF - 2, ex)]
-                             +      fh[idx_fh_F(iF, jF, kF - 3, ex)]);
-                    }
-                } else if (sfz < ZEO) {
-                    if ((k0 - 2) >= kminF) {
-                        f_rhs[p] -= sfz * d12dz *
-                            (-F3  * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF, kF    , ex)]
-                             +F18 * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF, kF - 2, ex)]
-                             +      fh[idx_fh_F(iF, jF, kF - 3, ex)]);
-                    } else if ((k0 - 1) >= kminF) {
-                        f_rhs[p] += sfz * d12dz *
-                            ( fh[idx_fh_F(iF, jF, kF - 2, ex)]
-                             -EIT * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             +EIT * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -      fh[idx_fh_F(iF, jF, kF + 2, ex)]);
-                    } else if (k0 >= kminF) {
-                        f_rhs[p] += sfz * d12dz *
-                            (-F3  * fh[idx_fh_F(iF, jF, kF - 1, ex)]
-                             -F10 * fh[idx_fh_F(iF, jF, kF    , ex)]
-                             +F18 * fh[idx_fh_F(iF, jF, kF + 1, ex)]
-                             -F6  * fh[idx_fh_F(iF, jF, kF + 2, ex)]
-                             +      fh[idx_fh_F(iF, jF, kF + 3, ex)]);
-                    }
-                }
-            }
-        }
-    }
-    free(fh);
-}
-
-
-
-
-

AMSS_NCKU_source/macrodef.fh

@@ -1,23 +1,7 @@
 
-#define tetradtype 2
-
-#define Cell
-
-#define ghost_width 3
-
-
-
-#define GAUGE 0
-
-#define CPBC_ghost_width  (ghost_width)
-
-#define ABV 0
-
-#define EScalar_CC 2
 
 #if 0
-
-define tetradtype
+note here
 v:r; u: phi; w: theta
 tetradtype 0
 v^a = (x,y,z)
@@ -30,48 +14,70 @@ define tetradtype
 v_a = (x,y,z)
 orthonormal order: v,u,w
 m = (phi - i theta)/sqrt(2) following Frans, Eq.(8) of  PRD 75, 124018(2007)
+#endif
+#define tetradtype 2
 
-define Cell or Vertex
+#if 0
+note here
 Cell center or Vertex center
+#endif
+#define Cell
 
-define ghost_width
+#if 0
+note here
 2nd order: 2
 4th order: 3
 6th order: 4
 8th order: 5
+#endif
+#define ghost_width 3
 
-define WithShell
+#if 0
+note here
 use shell or not
+#endif
+#define WithShell
 
-define CPBC
+#if 0
+note here
 use constraint preserving boundary condition or not
 only affect Z4c
-    CPBC only supports WithShell
+#endif
+#define CPBC
 
-define GAUGE
+#if 0
+note here
+Gauge condition type
 0: B^i gauge
-    1: David puncture gauge
+1: David's puncture gauge
 2: MB B^i gauge
 3: RIT B^i gauge
 4: MB beta gauge (beta gauge not means Eq.(3) of PRD 84, 124006)
 5: RIT beta gauge (beta gauge not means Eq.(3) of PRD 84, 124006)
 6: MGB1 B^i gauge
 7: MGB2 B^i gauge
+#endif
+#define GAUGE 2
 
-define CPBC_ghost_width  (ghost_width)
+#if 0
 buffer points for CPBC boundary
+#endif
+#define CPBC_ghost_width  (ghost_width)
 
-define ABV
-    0: using BSSN variable for constraint violation and psi4 calculation
-    1: using ADM variable for constraint violation and psi4 calculation
+#if 0
+using BSSN variable for constraint violation and psi4 calculation: 0
+using ADM variable for constraint violation and psi4 calculation: 1
+#endif
+#define ABV 0
 
-define EScalar_CC
+#if 0
 Type of Potential and Scalar Distribution in F(R) Scalar-Tensor Theory
 1: Case C of 1112.3928, V=0
-    2: shell with   phi(r) = phi0 * a2^2/(1+a2^2), f(R) = R+a2*R^2 induced V
+2: shell with a2^2*phi0/(1+a2^2), f(R) = R+a2*R^2 induced V
 3: ground state of Schrodinger-Newton system, f(R) = R+a2*R^2 induced V
-    4: a2 = +oo and phi(r) = phi0 * 0.5 * ( tanh((r+r0)/sigma) - tanh((r-r0)/sigma) )
+4: a2 = oo and phi(r) = phi0 * 0.5 * ( tanh((r+r0)/sigma) - tanh((r-r0)/sigma) )
 5: shell with phi(r) = phi0*Exp(-(r-r0)**2/sigma), V = 0
-
 #endif
+#define EScalar_CC 2
+
 

AMSS_NCKU_source/macrodef.h

@@ -6,124 +6,92 @@
 
 // application parameters
 
+/// ****
+// sommerfeld boundary type
+// 0: bam, 1: shibata
 #define SommerType 0
 
+/// ****
+// for Using Gauss-Legendre quadrature in theta direction
 #define GaussInt
 
-#define ABEtype 0
-
-//#define With_AHF
-#define Psi4type 0
-
-//#define Point_Psi4
-
-#define RPS 1
-
-#define AGM 0
-
-#define RPB 0
-
-#define MAPBH 1
-
-#define PSTR 0
-
-#define REGLEV 0
-
-//#define USE_GPU
-
-//#define CHECKDETAIL
-
-//#define FAKECHECK
-
-//
-// define SommerType
-//     sommerfeld boundary type
-//     0: bam
-//     1: shibata
-//
-// define GaussInt
-//     for Using Gauss-Legendre quadrature in theta direction
-//
-// define ABEtype
+/// ****
 // 0: BSSN vacuum
 // 1: coupled to scalar field
 // 2: Z4c vacuum
 // 3: coupled to Maxwell field
 //
-// define With_AHF
+#define ABEtype 2
+
+/// ****
 // using Apparent Horizon Finder
-//
-// define Psi4type
+//#define With_AHF
+
+/// ****
 // Psi4 calculation method
 // 0: EB method
 // 1: 4-D method
 //
-// define Point_Psi4
+#define Psi4type 0
+
+/// ****
 // for Using point psi4 or not
-//
-// define RPS
+//#define Point_Psi4
+
+/// ****
 // RestrictProlong in Step (0) or after Step (1)
-//
-// define AGM
+#define RPS 1
+
+/// ****
 // Enforce algebra constraint
 // for every RK4 sub step: 0
 // only when iter_count == 3: 1
 // after routine Step: 2
-//
-// define RPB
-//     Restrict Prolong using BAM style 1 or old style 0
-//
-// define MAPBH
-//     1: move Analysis out ot 4 sub steps and treat PBH with Euler method
-//
-// define PSTR
-//     parallel structure
-//     0: level by level
-//     1: considering all levels
-//     2: as 1 but reverse the CPU order
-//     3: Frank's scheme
-//
-// define REGLEV
-//     regrid for every level or for all levels at a time
-//     0: for every level;
-//     1: for all
-//
-// define USE_GPU
-//     use gpu or not
-//
-// define CHECKDETAIL
-//     use checkpoint for every process
-//
-// define FAKECHECK
-//     use FakeCheckPrepare to write CheckPoint
-//
+#define AGM 0
 
+/// ****
+// Restrict Prolong using BAM style 1 or old style 0
+#define RPB 0
+
+/// ****
+// 1: move Analysis out ot 4 sub steps and treat PBH with Euler method
+#define MAPBH 1
+
+/// ****
+// parallel structure, 0: level by level, 1: considering all levels, 2: as 1 but reverse the CPU order, 3: Frank's scheme
+#define PSTR 0
+
+/// ****
+// regrid for every level or for all levels at a time
+// 0: for every level; 1: for all
+#define REGLEV 0
+
+/// ****
+// use gpu or not
+//#define USE_GPU
+
+/// ****
+// use checkpoint for every process
+//#define CHECKDETAIL
+
+/// ****
+// use FakeCheckPrepare to write CheckPoint
+//#define FAKECHECK
 ////================================================================
 //  some basic parameters for numerical calculation
-////================================================================
-
 #define dim 3
 
-//#define Cell or Vertex in "macrodef.fh" 
+//#define Cell or Vertex in "microdef.fh"
 
+// ******
+// buffer point number for mesh refinement interface
 #define buffer_width 6
 
-#define SC_width buffer_width
-
-#define CS_width (2*buffer_width)
-
-//
-// define Cell or Vertex in "macrodef.fh" 
-//
-// define buffer_width
-//     buffer point number for mesh refinement interface
-//
-// define SC_width buffer_width
+// ******
 // buffer point number shell-box interface, on shell
-//
-// define CS_width
+#define SC_width buffer_width
 // buffer point number shell-box interface, on box
-//
+#define CS_width (2*buffer_width)
 
 #if(buffer_width < ghost_width)
 #error we always assume buffer_width>ghost_width
@@ -142,4 +110,3 @@
 #define TINY 1e-10
 
 #endif   /* MICRODEF_H */
-

AMSS_NCKU_source/makefile

@@ -2,27 +2,6 @@
 
 include makefile.inc
 
-## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
-##   make                        -> opt  (PGO-guided, maximum performance)
-##   make PGO_MODE=instrument    -> instrument (Phase 1: collect fresh profile data)
-PROFDATA = /home/$(shell whoami)/AMSS-NCKU/pgo_profile/default.profdata
-
-ifeq ($(PGO_MODE),instrument)
-## Phase 1: instrumentation — omit -ipo/-fp-model fast=2 for faster build and numerical stability
-CXXAPPFLAGS = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-              -Dfortran3 -Dnewc -I${MKLROOT}/include
-f90appflags = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-              -align array64byte -fpp -I${MKLROOT}/include
-else
-## opt (default): maximum performance with PGO profile data
-CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-              -fprofile-instr-use=$(PROFDATA) \
-              -Dfortran3 -Dnewc -I${MKLROOT}/include
-f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-              -fprofile-instr-use=$(PROFDATA) \
-              -align array64byte -fpp -I${MKLROOT}/include
-endif
-
 .SUFFIXES: .o .f90 .C .for .cu
 
 .f90.o:
@@ -37,36 +16,13 @@ endif
 .cu.o:
 	$(Cu) $(CUDA_APP_FLAGS) -c $< -o $@ $(CUDA_LIB_PATH)
 
-# C rewrite of BSSN RHS kernel and helpers
-bssn_rhs_c.o: bssn_rhs_c.C
-	${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
-
-fderivs_c.o: fderivs_c.C
-	${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
-
-fdderivs_c.o: fdderivs_c.C
-	${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
-
-kodiss_c.o: kodiss_c.C
-	${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
-
-lopsided_c.o: lopsided_c.C
-	${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
-
-## TwoPunctureABE uses fixed optimal flags, independent of CXXAPPFLAGS (which may be PGO-instrumented)
-TP_OPTFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo -Dfortran3 -Dnewc -I${MKLROOT}/include
-
 TwoPunctures.o: TwoPunctures.C
-	${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
+	${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
 
 TwoPunctureABE.o: TwoPunctureABE.C
-	${CXX} $(TP_OPTFLAGS) -qopenmp -c $< -o $@
+	${CXX} $(CXXAPPFLAGS) -qopenmp -c $< -o $@
 
 # Input files
-
-# C rewrite files
-CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o
-
 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\
 	   bssnEScalar_class.o perf.o Z4c_class.o NullShellPatch.o\
@@ -84,7 +40,7 @@ C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o
 
 F90FILES = enforce_algebra.o fmisc.o initial_puncture.o prolongrestrict.o\
 	   prolongrestrict_cell.o prolongrestrict_vertex.o\
-	   rungekutta4_rout.o diff_new.o kodiss.o kodiss_sh.o\
+	   rungekutta4_rout.o bssn_rhs.o diff_new.o kodiss.o kodiss_sh.o\
 	   lopsidediff.o sommerfeld_rout.o getnp4.o diff_new_sh.o\
 	   shellfunctions.o bssn_rhs_ss.o Set_Rho_ADM.o\
            getnp4EScalar.o bssnEScalar_rhs.o bssn_constraint.o ricci_gamma.o\
@@ -107,7 +63,7 @@ TwoPunctureFILES = TwoPunctureABE.o TwoPunctures.o
 CUDAFILES = bssn_gpu.o bssn_gpu_rhs_ss.o
 
 # file dependences
-$(C++FILES) $(C++FILES_GPU) $(F90FILES) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
+$(C++FILES) $(C++FILESGPU) $(F90FILES) $(AHFDOBJS) $(CUDAFILES): macrodef.fh
 
 $(C++FILES): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h\
 	     misc.h monitor.h MyList.h Parallel.h MPatch.h prolongrestrict.h\
@@ -130,7 +86,7 @@ $(C++FILES_GPU): Block.h enforce_algebra.h fmisc.h initial_puncture.h macrodef.h
              
 $(AHFDOBJS): cctk.h cctk_Config.h cctk_Types.h cctk_Constants.h myglobal.h
 
-$(C++FILES) $(C++FILES_GPU) $(CFILES) $(AHFDOBJS) $(CUDAFILES): macrodef.h
+$(C++FILES) $(C++FILES_GPU) $(AHFDOBJS) $(CUDAFILES): macrodef.h
 
 TwoPunctureFILES: TwoPunctures.h
 
@@ -139,14 +95,14 @@ $(CUDAFILES): bssn_gpu.h gpu_mem.h gpu_rhsSS_mem.h
 misc.o : zbesh.o
 
 # projects
-ABE: $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS)
-	$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS)
+ABE: $(C++FILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) 
+	$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(LDLIBS)
 	
-ABEGPU: $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
-	$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(CFILES) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
+ABEGPU: $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES)
+	$(CLINKER) $(CXXAPPFLAGS) -o $@ $(C++FILES_GPU) $(F90FILES) $(F77FILES) $(AHFDOBJS) $(CUDAFILES) $(LDLIBS)
 
 TwoPunctureABE: $(TwoPunctureFILES)
-	$(CLINKER) $(TP_OPTFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
+	$(CLINKER) $(CXXAPPFLAGS) -qopenmp -o $@ $(TwoPunctureFILES) $(LDLIBS)
 
 clean:
 	rm *.o ABE ABEGPU TwoPunctureABE make.log -f

AMSS_NCKU_source/makefile.inc

@@ -8,12 +8,18 @@ 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${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
+LDLIBS  = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl
 
-## PGO build mode switch (ABE only; TwoPunctureABE always uses opt flags)
-##   opt        : (default) maximum performance with PGO profile-guided optimization
-##   instrument : PGO Phase 1 instrumentation to collect fresh profile data
-PGO_MODE ?= opt
+## 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=$(PROFDATA) \
+               -Dfortran3 -Dnewc -I${MKLROOT}/include
+f90appflags  = -O3 -xHost -fp-model fast=2 -fma -ipo \
+               -fprofile-instr-use=$(PROFDATA) \
+               -align array64byte -fpp -I${MKLROOT}/include
 f90          = ifx
 f77          = ifx
 CXX          = icpx

AMSS_NCKU_source/share_func.h

@@ -1,146 +0,0 @@
-#ifndef SHARE_FUNC_H
-#define SHARE_FUNC_H
-
-#include <stdlib.h>
-#include <stddef.h>
-#include <math.h>
-#include <stdio.h>
-/* 主网格：0-based -> 1D */
-static inline size_t idx_ex(int i0, int j0, int k0, const int ex[3]) {
-    const int ex1 = ex[0], ex2 = ex[1];
-    return (size_t)i0 + (size_t)j0 * (size_t)ex1 + (size_t)k0 * (size_t)ex1 * (size_t)ex2;
-}
-
-/*
- * fh 对应 Fortran: fh(-1:ex1, -1:ex2, -1:ex3)
- * ord=2 => shift=1
- * iF/jF/kF 为 Fortran 索引（可为 -1,0,1..ex）
- */
-static inline size_t idx_fh_F_ord2(int iF, int jF, int kF, const int ex[3]) {
-    const int shift = 1;
-    const int nx = ex[0] + 2;      // ex1 + ord
-    const int ny = ex[1] + 2;
-
-    const int ii = iF + shift;     // 0..ex1+1
-    const int jj = jF + shift;     // 0..ex2+1
-    const int kk = kF + shift;     // 0..ex3+1
-
-    return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
-}
-
-/*
- * fh 对应 Fortran: fh(-2:ex1, -2:ex2, -2:ex3)
- * ord=3 => shift=2
- * iF/jF/kF 是 Fortran 索引（可为负）
- */
-static inline size_t idx_fh_F(int iF, int jF, int kF, const int ex[3]) {
-    const int shift = 2;                 // ord=3 -> -2..ex
-    const int nx = ex[0] + 3;            // ex1 + ord
-    const int ny = ex[1] + 3;
-
-    const int ii = iF + shift;           // 0..ex1+2
-    const int jj = jF + shift;           // 0..ex2+2
-    const int kk = kF + shift;           // 0..ex3+2
-
-    return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
-}
-
-/*
- * func:  (1..extc1, 1..extc2, 1..extc3)   1-based in Fortran
- * funcc: (-ord+1..extc1, -ord+1..extc2, -ord+1..extc3) in Fortran
- *
- * C 里我们把：
- *   func  视为 0-based: i0=0..extc1-1, j0=0..extc2-1, k0=0..extc3-1
- *   funcc 用“平移下标”存为一维数组：
- *     iF in [-ord+1..extc1]  -> ii = iF + (ord-1)  in [0..extc1+ord-1]
- *     总长度 nx = extc1 + ord
- *     同理 ny = extc2 + ord, nz = extc3 + ord
- */
-
-static inline size_t idx_func0(int i0, int j0, int k0, const int extc[3]) {
-    const int nx = extc[0], ny = extc[1];
-    return (size_t)i0 + (size_t)j0 * (size_t)nx + (size_t)k0 * (size_t)nx * (size_t)ny;
-}
-
-static inline size_t idx_funcc_F(int iF, int jF, int kF, int ord, const int extc[3]) {
-    const int shift = ord - 1;          // iF = -shift .. extc1
-    const int nx = extc[0] + ord;       // [-shift..extc1] 共 extc1+ord 个
-    const int ny = extc[1] + ord;
-
-    const int ii = iF + shift;          // 0..extc1+shift
-    const int jj = jF + shift;          // 0..extc2+shift
-    const int kk = kF + shift;          // 0..extc3+shift
-
-    return (size_t)ii + (size_t)jj * (size_t)nx + (size_t)kk * (size_t)nx * (size_t)ny;
-}
-
-/*
- * 等价于 Fortran:
- * funcc(1:extc1,1:extc2,1:extc3)=func
- * do i=0,ord-1
- *   funcc(-i,1:extc2,1:extc3) = funcc(i+1,1:extc2,1:extc3)*SoA(1)
- * enddo
- * do i=0,ord-1
- *   funcc(:,-i,1:extc3) = funcc(:,i+1,1:extc3)*SoA(2)
- * enddo
- * do i=0,ord-1
- *   funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3)
- * enddo
- */
-static inline void symmetry_bd(int ord,
-                 const int extc[3],
-                 const double *func,
-                 double *funcc,
-                 const double SoA[3])
-{
-    const int extc1 = extc[0], extc2 = extc[1], extc3 = extc[2];
-
-    // 1) funcc(1:extc1,1:extc2,1:extc3) = func
-    // Fortran 的 (iF=1..extc1) 对应 C 的 func(i0=0..extc1-1)
-    for (int k0 = 0; k0 < extc3; ++k0) {
-        for (int j0 = 0; j0 < extc2; ++j0) {
-            for (int i0 = 0; i0 < extc1; ++i0) {
-                const int iF = i0 + 1, jF = j0 + 1, kF = k0 + 1;
-                funcc[idx_funcc_F(iF, jF, kF, ord, extc)] = func[idx_func0(i0, j0, k0, extc)];
-            }
-        }
-    }
-
-    // 2) do i=0..ord-1: funcc(-i, 1:extc2, 1:extc3) = funcc(i+1, ...)*SoA(1)
-    for (int ii = 0; ii <= ord - 1; ++ii) {
-        const int iF_dst = -ii;       // 0, -1, -2, ...
-        const int iF_src = ii + 1;    // 1, 2, 3, ...
-        for (int kF = 1; kF <= extc3; ++kF) {
-            for (int jF = 1; jF <= extc2; ++jF) {
-                funcc[idx_funcc_F(iF_dst, jF, kF, ord, extc)] =
-                    funcc[idx_funcc_F(iF_src, jF, kF, ord, extc)] * SoA[0];
-            }
-        }
-    }
-
-    // 3) do i=0..ord-1: funcc(:,-i, 1:extc3) = funcc(:, i+1, 1:extc3)*SoA(2)
-    // 注意 Fortran 这里的 ":" 表示 iF 从 (-ord+1..extc1) 全覆盖
-    for (int jj = 0; jj <= ord - 1; ++jj) {
-        const int jF_dst = -jj;
-        const int jF_src = jj + 1;
-        for (int kF = 1; kF <= extc3; ++kF) {
-            for (int iF = -ord + 1; iF <= extc1; ++iF) {
-                funcc[idx_funcc_F(iF, jF_dst, kF, ord, extc)] =
-                    funcc[idx_funcc_F(iF, jF_src, kF, ord, extc)] * SoA[1];
-            }
-        }
-    }
-
-    // 4) do i=0..ord-1: funcc(:,:,-i) = funcc(:,:, i+1)*SoA(3)
-    for (int kk = 0; kk <= ord - 1; ++kk) {
-        const int kF_dst = -kk;
-        const int kF_src = kk + 1;
-        for (int jF = -ord + 1; jF <= extc2; ++jF) {
-            for (int iF = -ord + 1; iF <= extc1; ++iF) {
-                funcc[idx_funcc_F(iF, jF, kF_dst, ord, extc)] =
-                    funcc[idx_funcc_F(iF, jF, kF_src, ord, extc)] * SoA[2];
-            }
-        }
-    }
-}
-#endif

AMSS_NCKU_source/surface_integral.C

@@ -11,6 +11,8 @@
 #include <strstream>
 #include <cmath>
 #include <map>
+#include <vector>
+#include <algorithm>
 using namespace std;
 #else
 #include <iostream.h>
@@ -238,9 +240,6 @@ void surface_integral::surf_Wave(double rex, int lev, cgh *GH, var *Rpsi4, var *
   shellf = new double[n_tot * InList];
 
   GH->PatL[lev]->data->Interp_Points(DG_List, n_tot, pox, shellf, Symmetry, Nmin, Nmax);
-
-  //|~~~~~> Integrate the dot product of Dphi with the surface normal.
-
   double *RP_out, *IP_out;
   RP_out = new double[NN];
   IP_out = new double[NN];

AMSS_NCKU_source/tool.h

@@ -1,27 +0,0 @@
-#include "share_func.h"
-void fdderivs(const int ex[3],
-              const double *f,
-              double *fxx, double *fxy, double *fxz,
-              double *fyy, double *fyz, double *fzz,
-              const double *X, const double *Y, const double *Z,
-              double SYM1, double SYM2, double SYM3,
-              int Symmetry, int onoff);
-
-void fderivs(const int ex[3],
-             const double *f,
-             double *fx, double *fy, double *fz,
-             const double *X, const double *Y, const double *Z,
-             double SYM1, double SYM2, double SYM3,
-             int Symmetry, int onoff);
-
-void kodis(const int ex[3],
-           const double *X, const double *Y, const double *Z,
-           const double *f, double *f_rhs,
-           const double SoA[3],
-           int Symmetry, double eps);
-
-void lopsided(const int ex[3],
-              const double *X, const double *Y, const double *Z,
-              const double *f, double *f_rhs,
-              const double *Sfx, const double *Sfy, const double *Sfz,
-              int Symmetry, const double SoA[3]);

makefile_and_run.py

@@ -11,46 +11,17 @@
 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"
 
-
-def get_last_n_cores_per_socket(n=32):
-    """
-    Read CPU topology via lscpu and return a taskset -c string
-    selecting the last `n` cores of each NUMA node (socket).
-
-    Example: 2 sockets x 56 cores each, n=32 -> node0: 24-55, node1: 80-111
-    -> "taskset -c 24-55,80-111"
-    """
-    result = subprocess.run(["lscpu", "--parse=NODE,CPU"], capture_output=True, text=True)
-
-    # Build a dict: node_id -> sorted list of CPU ids
-    node_cpus = {}
-    for line in result.stdout.splitlines():
-        if line.startswith("#") or not line.strip():
-            continue
-        parts = line.split(",")
-        if len(parts) < 2:
-            continue
-        node_id, cpu_id = int(parts[0]), int(parts[1])
-        node_cpus.setdefault(node_id, []).append(cpu_id)
-
-    segments = []
-    for node_id in sorted(node_cpus):
-        cpus = sorted(node_cpus[node_id])
-        selected = cpus[-n:]          # last n cores of this socket
-        segments.append(f"{selected[0]}-{selected[-1]}")
-
-    cpu_str = ",".join(segments)
-    total = len(segments) * n
-    print(f" CPU binding: taskset -c {cpu_str}  ({total} cores, last {n} per socket)")
-    return f"taskset -c {cpu_str}"
-
-
-## CPU core binding: dynamically select the last 32 cores of each socket (64 cores total)
-NUMACTL_CPU_BIND = get_last_n_cores_per_socket(n=32)
-
-## Build parallelism: match the number of bound cores
-BUILD_JOBS = 64
+## 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
 
 
 ##################################################################