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36 Commits

Author SHA1 Message Date
e11363e06e Optimize fdderivs: skip redundant 2nd-order work in 4th-order overlap 2026-03-02 03:21:21 +08:00
f70e90f694 prolong3:提升cache命中率 2026-03-02 03:05:35 +08:00
jaunatisblue
75dd5353b0 修改prolong 2026-03-02 02:25:25 +08:00
jaunatisblue
23a82d063b 对prolong3做访存优化 2026-03-02 02:25:25 +08:00
44efb2e08c 预赛最终版本v1.0.0: 确定PGO和原负载均衡方案在当前版本造成负优化已经回退 2026-03-01 18:04:25 +08:00
16013081e0 Optimize symmetry_bd with stride-based fast paths 2026-03-01 15:50:56 +08:00
03416a7b28 perf(polint): add uniform-grid fast path for barycentric n=6 2026-03-01 13:26:39 +08:00
cca3c16c2b perf(polint): add switchable barycentric ordn=6 path 2026-03-01 13:20:46 +08:00
e5231849ee perf(polin3): switch to lagrange-weight tensor contraction 2026-03-01 13:04:33 +08:00
a766e49ff0 perf(polint): add ordn=6 specialized neville path 2026-03-01 12:39:53 +08:00
1a518cd3f6 Optimize average2: use DO CONCURRENT loop form 2026-03-01 00:41:32 +08:00
1dc622e516 Optimize average2: replace array expression with explicit loops 2026-03-01 00:33:01 +08:00
3046a0ccde Optimize prolong3: hoist bounds check out of inner loop 2026-03-01 00:17:30 +08:00
d4ec69c98a Optimize prolong3: replace parity branches with coefficient lookup 2026-02-28 23:59:57 +08:00
2c0a3055d4 Optimize prolong3: precompute coarse index/parity maps 2026-02-28 23:53:30 +08:00
1eba73acbe 先关闭绑核心,发现速度对比:不绑定核心+SCX>绑核心+SCX 2026-02-28 23:27:44 +08:00
b91cfff301 Add switchable C RK4 kernel and build toggle 2026-02-28 21:12:19 +08:00
e29ca2dca9 build: switch allocator option to oneTBB tbbmalloc 2026-02-28 17:16:00 +08:00
6493101ca0 bssn_rhs_c: recompute contracted Gamma terms to remove temp arrays 2026-02-28 16:34:23 +08:00
169986cde1 bssn_rhs_c: compute div_beta on-the-fly to remove temp array 2026-02-28 16:25:57 +08:00
1fbc213888 bssn_rhs_c: remove gxx/gyy/gzz temporaries in favor of dxx/dyy/dzz+1 2026-02-28 15:50:52 +08:00
6024708a48 derivs_c: split low/high stencil regions to reduce branch overhead 2026-02-28 15:42:31 +08:00
bc457d981e bssn_rhs_c: merge lopsided+kodis with shared symmetry buffer 2026-02-28 15:23:01 +08:00
51dead090e bssn_rhs_c: 融合最终RHS两循环为一循环,用局部变量传递fij中间值 (Modify 6)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:49:45 +08:00
34d6922a66 fdderivs_c: 全量清零改为只清零边界面,减少无效内存写入
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:20:06 +08:00
8010ad27ed kodiss_c: 收紧循环范围消除边界无用迭代和分支判断
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 13:04:21 +08:00
38e691f013 bssn_rhs_c: 融合Christoffel修正+trK_rhs两循环为一循环 (Modify 5)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 12:57:07 +08:00
808387aa11 bssn_rhs_c: 融合fxx/Gamxa+Gamma_rhs_part2两循环为一循环 (Modify 4)
fxx/fxy/fxz和Gamxa/ya/za保留在局部标量中直接复用于Gamma_rhs part2,减少数组读写

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 11:14:35 +08:00
c2b676abf2 bssn_rhs_c: 融合A^{ij}升指标+Gamma_rhs_part1两循环为一循环 (Modify 3)
A^{ij}六分量保留在局部标量中直接复用于Gamma_rhs计算,减少Rxx..Ryz数组的额外读取

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 11:02:27 +08:00
2c60533501 bssn_rhs_c: 融合逆度规+Gamma约束+Christoffel三循环为一循环 (Modify 2)
逆度规计算结果保留在局部标量中直接复用,减少对gupxx..gupzz数组的重复读取,每步加速0.01秒

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-02-28 10:57:40 +08:00
318b5254cc 根据组委会邮件要求更新检测脚本,增加对3D向量和三个分量分别检测RMS小于1.0% 2026-02-27 17:38:21 +08:00
3cee05f262 Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-27 15:13:40 +08:00
e6329b013d Merge branch 'cjy-oneapi-opus-hotfix' 2026-02-20 14:18:33 +08:00
2791d2e225 Merge pull request 'PGO updated' (#1) from cjy-oneapi-opus-hotfix into main
Reviewed-on: #1
2026-02-11 19:17:35 +08:00
72ce153e48 Merge cjy-oneapi-opus-hotfix into main 2026-02-11 19:15:12 +08:00
CGH0S7
79af79d471 baseline updated 2026-02-05 19:53:55 +08:00
25 changed files with 1668 additions and 980 deletions

View File

@@ -1,9 +1,13 @@
#!/usr/bin/env python3
"""
AMSS-NCKU GW150914 Simulation Regression Test Script
AMSS-NCKU GW150914 Simulation Regression Test Script (Comprehensive Version)
Verification Requirements:
1. XY-plane trajectory RMS error < 1% (Optimized vs. baseline, max of BH1 and BH2)
1. RMS errors < 1% for:
- 3D Vector Total RMS
- X Component RMS
- Y Component RMS
- Z Component RMS
2. ADM constraint violation < 2 (Grid Level 0)
RMS Calculation Method:
@@ -57,79 +61,62 @@ def load_constraint_data(filepath):
data.append([float(x) for x in parts[:8]])
return np.array(data)
def calculate_rms_error(bh_data_ref, bh_data_target):
def calculate_all_rms_errors(bh_data_ref, bh_data_target):
"""
Calculate trajectory-based RMS error on the XY plane between baseline and optimized simulations.
This function computes the RMS error independently for BH1 and BH2 trajectories,
then returns the maximum of the two as the final RMS error metric.
For each black hole, the RMS is calculated as:
RMS = sqrt( (1/M) * sum( (Δr_i / r_i^max)^2 ) ) × 100%
where:
Δr_i = sqrt((x_ref,i - x_new,i)^2 + (y_ref,i - y_new,i)^2)
r_i^max = max(sqrt(x_ref,i^2 + y_ref,i^2), sqrt(x_new,i^2 + y_new,i^2))
Args:
bh_data_ref: Reference (baseline) trajectory data
bh_data_target: Target (optimized) trajectory data
Returns:
rms_value: Final RMS error as a percentage (max of BH1 and BH2)
error: Error message if any
Calculate 3D Vector RMS and component-wise RMS (X, Y, Z) independently.
Uses r = sqrt(x^2 + y^2) as the denominator for all error normalizations.
Returns the maximum error between BH1 and BH2 for each category.
"""
# Align data: truncate to the length of the shorter dataset
M = min(len(bh_data_ref['time']), len(bh_data_target['time']))
if M < 10:
return None, "Insufficient data points for comparison"
# Extract XY coordinates for both black holes
x1_ref = bh_data_ref['x1'][:M]
y1_ref = bh_data_ref['y1'][:M]
x2_ref = bh_data_ref['x2'][:M]
y2_ref = bh_data_ref['y2'][:M]
results = {}
x1_new = bh_data_target['x1'][:M]
y1_new = bh_data_target['y1'][:M]
x2_new = bh_data_target['x2'][:M]
y2_new = bh_data_target['y2'][:M]
for bh in ['1', '2']:
x_r, y_r, z_r = bh_data_ref[f'x{bh}'][:M], bh_data_ref[f'y{bh}'][:M], bh_data_ref[f'z{bh}'][:M]
x_n, y_n, z_n = bh_data_target[f'x{bh}'][:M], bh_data_target[f'y{bh}'][:M], bh_data_target[f'z{bh}'][:M]
# Calculate RMS for BH1
delta_r1 = np.sqrt((x1_ref - x1_new)**2 + (y1_ref - y1_new)**2)
r1_ref = np.sqrt(x1_ref**2 + y1_ref**2)
r1_new = np.sqrt(x1_new**2 + y1_new**2)
r1_max = np.maximum(r1_ref, r1_new)
# 核心修改:根据组委会的邮件指示,分母统一使用 r = sqrt(x^2 + y^2)
r_ref = np.sqrt(x_r**2 + y_r**2)
r_new = np.sqrt(x_n**2 + y_n**2)
denom_max = np.maximum(r_ref, r_new)
# Calculate RMS for BH2
delta_r2 = np.sqrt((x2_ref - x2_new)**2 + (y2_ref - y2_new)**2)
r2_ref = np.sqrt(x2_ref**2 + y2_ref**2)
r2_new = np.sqrt(x2_new**2 + y2_new**2)
r2_max = np.maximum(r2_ref, r2_new)
valid = denom_max > 1e-15
if np.sum(valid) < 10:
results[f'BH{bh}'] = { '3D_Vector': 0.0, 'X_Component': 0.0, 'Y_Component': 0.0, 'Z_Component': 0.0 }
continue
# Avoid division by zero for BH1
valid_mask1 = r1_max > 1e-15
if np.sum(valid_mask1) < 10:
return None, "Insufficient valid data points for BH1"
def calc_rms(delta):
# 将对应分量的偏差除以统一的轨道半径分母 denom_max
return np.sqrt(np.mean((delta[valid] / denom_max[valid])**2)) * 100
terms1 = (delta_r1[valid_mask1] / r1_max[valid_mask1])**2
rms_bh1 = np.sqrt(np.mean(terms1)) * 100
# 1. Total 3D Vector RMS
delta_vec = np.sqrt((x_r - x_n)**2 + (y_r - y_n)**2 + (z_r - z_n)**2)
rms_3d = calc_rms(delta_vec)
# Avoid division by zero for BH2
valid_mask2 = r2_max > 1e-15
if np.sum(valid_mask2) < 10:
return None, "Insufficient valid data points for BH2"
# 2. Component-wise RMS (分离计算各轴,但共用半径分母)
rms_x = calc_rms(np.abs(x_r - x_n))
rms_y = calc_rms(np.abs(y_r - y_n))
rms_z = calc_rms(np.abs(z_r - z_n))
terms2 = (delta_r2[valid_mask2] / r2_max[valid_mask2])**2
rms_bh2 = np.sqrt(np.mean(terms2)) * 100
results[f'BH{bh}'] = {
'3D_Vector': rms_3d,
'X_Component': rms_x,
'Y_Component': rms_y,
'Z_Component': rms_z
}
# Final RMS is the maximum of BH1 and BH2
rms_final = max(rms_bh1, rms_bh2)
return rms_final, None
# 获取 BH1 BH2 中的最大误差
max_rms = {
'3D_Vector': max(results['BH1']['3D_Vector'], results['BH2']['3D_Vector']),
'X_Component': max(results['BH1']['X_Component'], results['BH2']['X_Component']),
'Y_Component': max(results['BH1']['Y_Component'], results['BH2']['Y_Component']),
'Z_Component': max(results['BH1']['Z_Component'], results['BH2']['Z_Component'])
}
return max_rms, None
def analyze_constraint_violation(constraint_data, n_levels=9):
"""
@@ -155,34 +142,32 @@ def analyze_constraint_violation(constraint_data, n_levels=9):
def print_header():
"""Print report header"""
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + " AMSS-NCKU GW150914 Simulation Regression Test Report" + Color.RESET)
print(Color.BOLD + " AMSS-NCKU GW150914 Comprehensive Regression Test" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
def print_rms_results(rms_rel, error, threshold=1.0):
"""Print RMS error results"""
print(f"\n{Color.BOLD}1. RMS Error Analysis (Baseline vs Optimized){Color.RESET}")
print("-" * 45)
def print_rms_results(rms_dict, error, threshold=1.0):
print(f"\n{Color.BOLD}1. RMS Error Analysis (Maximums of BH1 & BH2){Color.RESET}")
print("-" * 65)
if error:
print(f" {Color.RED}Error: {error}{Color.RESET}")
return False
passed = rms_rel < threshold
all_passed = True
print(f" Requirement: < {threshold}%\n")
print(f" RMS relative error: {rms_rel:.4f}%")
print(f" Requirement: < {threshold}%")
print(f" Status: {get_status_text(passed)}")
return passed
for key, val in rms_dict.items():
passed = val < threshold
all_passed = all_passed and passed
status = get_status_text(passed)
print(f" {key:15}: {val:8.4f}% | Status: {status}")
return all_passed
def print_constraint_results(results, threshold=2.0):
"""Print constraint violation results"""
print(f"\n{Color.BOLD}2. ADM Constraint Violation Analysis (Grid Level 0){Color.RESET}")
print("-" * 45)
print("-" * 65)
names = ['Ham', 'Px', 'Py', 'Pz', 'Gx', 'Gy', 'Gz']
for i, name in enumerate(names):
@@ -200,7 +185,6 @@ def print_constraint_results(results, threshold=2.0):
def print_summary(rms_passed, constraint_passed):
"""Print summary"""
print("\n" + Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
print(Color.BOLD + "Verification Summary" + Color.RESET)
print(Color.BLUE + Color.BOLD + "=" * 65 + Color.RESET)
@@ -210,7 +194,7 @@ def print_summary(rms_passed, constraint_passed):
res_rms = get_status_text(rms_passed)
res_con = get_status_text(constraint_passed)
print(f" [1] RMS trajectory check: {res_rms}")
print(f" [1] Comprehensive RMS check: {res_rms}")
print(f" [2] ADM constraint check: {res_con}")
final_status = f"{Color.GREEN}{Color.BOLD}ALL CHECKS PASSED{Color.RESET}" if all_passed else f"{Color.RED}{Color.BOLD}SOME CHECKS FAILED{Color.RESET}"
@@ -219,61 +203,48 @@ def print_summary(rms_passed, constraint_passed):
return all_passed
def main():
# Determine target (optimized) output directory
if len(sys.argv) > 1:
target_dir = sys.argv[1]
else:
script_dir = os.path.dirname(os.path.abspath(__file__))
target_dir = os.path.join(script_dir, "GW150914/AMSS_NCKU_output")
# Determine reference (baseline) directory
script_dir = os.path.dirname(os.path.abspath(__file__))
reference_dir = os.path.join(script_dir, "GW150914-origin/AMSS_NCKU_output")
# Data file paths
bh_file_ref = os.path.join(reference_dir, "bssn_BH.dat")
bh_file_target = os.path.join(target_dir, "bssn_BH.dat")
constraint_file = os.path.join(target_dir, "bssn_constraint.dat")
# Check if files exist
if not os.path.exists(bh_file_ref):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Baseline trajectory file not found: {bh_file_ref}")
sys.exit(1)
if not os.path.exists(bh_file_target):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Target trajectory file not found: {bh_file_target}")
sys.exit(1)
if not os.path.exists(constraint_file):
print(f"{Color.RED}{Color.BOLD}Error:{Color.RESET} Constraint data file not found: {constraint_file}")
sys.exit(1)
# Print header
print_header()
print(f"\n{Color.BOLD}Reference (Baseline):{Color.RESET} {Color.BLUE}{reference_dir}{Color.RESET}")
print(f"{Color.BOLD}Target (Optimized): {Color.RESET} {Color.BLUE}{target_dir}{Color.RESET}")
# Load data
bh_data_ref = load_bh_trajectory(bh_file_ref)
bh_data_target = load_bh_trajectory(bh_file_target)
constraint_data = load_constraint_data(constraint_file)
# Calculate RMS error
rms_rel, error = calculate_rms_error(bh_data_ref, bh_data_target)
rms_passed = print_rms_results(rms_rel, error)
# Output modified RMS results
rms_dict, error = calculate_all_rms_errors(bh_data_ref, bh_data_target)
rms_passed = print_rms_results(rms_dict, error)
# Analyze constraint violation
# Output constraint results
constraint_results = analyze_constraint_violation(constraint_data)
constraint_passed = print_constraint_results(constraint_results)
# Print summary
all_passed = print_summary(rms_passed, constraint_passed)
# Return exit code
sys.exit(0 if all_passed else 1)
if __name__ == "__main__":
main()

View File

@@ -39,7 +39,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
// printf("nx=%d ny=%d nz=%d all=%d\n", nx, ny, nz, all);
// temp variable
double gxx[all],gyy[all],gzz[all];
double chix[all],chiy[all],chiz[all];
double gxxx[all],gxyx[all],gxzx[all],gyyx[all],gyzx[all],gzzx[all];
double gxxy[all],gxyy[all],gxzy[all],gyyy[all],gyzy[all],gzzy[all];
@@ -51,9 +50,9 @@ int f_compute_rhs_bssn(int *ex, double &T,
double Gamxx[all],Gamxy[all],Gamxz[all];
double Gamyx[all],Gamyy[all],Gamyz[all];
double Gamzx[all],Gamzy[all],Gamzz[all];
double Kx[all], Ky[all], Kz[all], div_beta[all], S[all];
double Kx[all], Ky[all], Kz[all], S[all];
double f[all], fxx[all], fxy[all], fxz[all], fyy[all], fyz[all], fzz[all];
double Gamxa[all], Gamya[all], Gamza[all], alpn1[all], chin1[all];
double alpn1[all], chin1[all];
double gupxx[all], gupxy[all], gupxz[all];
double gupyy[all], gupyz[all], gupzz[all];
double SSS[3] = { 1.0, 1.0, 1.0};
@@ -107,9 +106,6 @@ int f_compute_rhs_bssn(int *ex, double &T,
for(int i=0;i<all;i+=1){
alpn1[i] = Lap[i] + 1.0;
chin1[i] = chi[i] + 1.0;
gxx[i] = dxx[i] + 1.0;
gyy[i] = dyy[i] + 1.0;
gzz[i] = dzz[i] + 1.0;
}
// 9ms //
fderivs(ex,betax,betaxx,betaxy,betaxz,X,Y,Z,ANTI, SYM, SYM,Symmetry,Lev);
@@ -127,231 +123,196 @@ int f_compute_rhs_bssn(int *ex, double &T,
// 3ms //
for(int i=0;i<all;i+=1){
div_beta[i] = betaxx[i] + betayy[i] + betazz[i];
chi_rhs[i] = F2o3 * chin1[i] * (alpn1[i] * trK[i] - div_beta[i]);
gxx_rhs[i] = -TWO * alpn1[i] * Axx[i] - F2o3 * gxx[i] * div_beta[i] +
TWO * (gxx[i] * betaxx[i] + gxy[i] * betayx[i] + gxz[i] * betazx[i]);
gyy_rhs[i] = -TWO * alpn1[i] * Ayy[i] - F2o3 * gyy[i] * div_beta[i] +
TWO * (gxy[i] * betaxy[i] + gyy[i] * betayy[i] + gyz[i] * betazy[i]);
gzz_rhs[i] = -TWO * alpn1[i] * Azz[i] - F2o3 * gzz[i] * div_beta[i] +
TWO * (gxz[i] * betaxz[i] + gyz[i] * betayz[i] + gzz[i] * betazz[i]);
gxy_rhs[i] = -TWO * alpn1[i] * Axy[i] + F1o3 * gxy[i] * div_beta[i] +
gxx[i] * betaxy[i] + gxz[i] * betazy[i] + gyy[i] * betayx[i]
const double divb = betaxx[i] + betayy[i] + betazz[i];
chi_rhs[i] = F2o3 * chin1[i] * (alpn1[i] * trK[i] - divb);
gxx_rhs[i] = -TWO * alpn1[i] * Axx[i] - F2o3 * (dxx[i] + ONE) * divb +
TWO * ((dxx[i] + ONE) * betaxx[i] + gxy[i] * betayx[i] + gxz[i] * betazx[i]);
gyy_rhs[i] = -TWO * alpn1[i] * Ayy[i] - F2o3 * (dyy[i] + ONE) * divb +
TWO * (gxy[i] * betaxy[i] + (dyy[i] + ONE) * betayy[i] + gyz[i] * betazy[i]);
gzz_rhs[i] = -TWO * alpn1[i] * Azz[i] - F2o3 * (dzz[i] + ONE) * divb +
TWO * (gxz[i] * betaxz[i] + gyz[i] * betayz[i] + (dzz[i] + ONE) * betazz[i]);
gxy_rhs[i] = -TWO * alpn1[i] * Axy[i] + F1o3 * gxy[i] * divb +
(dxx[i] + ONE) * betaxy[i] + gxz[i] * betazy[i] + (dyy[i] + ONE) * betayx[i]
+ gyz[i] * betazx[i] - gxy[i] * betazz[i];
gyz_rhs[i] = -TWO * alpn1[i] * Ayz[i] + F1o3 * gyz[i] * div_beta[i] +
gxy[i] * betaxz[i] + gyy[i] * betayz[i] + gxz[i] * betaxy[i]
+ gzz[i] * betazy[i] - gyz[i] * betaxx[i];
gxz_rhs[i] = -TWO * alpn1[i] * Axz[i] + F1o3 * gxz[i] * div_beta[i] +
gxx[i] * betaxz[i] + gxy[i] * betayz[i] + gyz[i] * betayx[i]
+ gzz[i] * betazx[i] - gxz[i] * betayy[i];
gyz_rhs[i] = -TWO * alpn1[i] * Ayz[i] + F1o3 * gyz[i] * divb +
gxy[i] * betaxz[i] + (dyy[i] + ONE) * betayz[i] + gxz[i] * betaxy[i]
+ (dzz[i] + ONE) * betazy[i] - gyz[i] * betaxx[i];
gxz_rhs[i] = -TWO * alpn1[i] * Axz[i] + F1o3 * gxz[i] * divb +
(dxx[i] + ONE) * betaxz[i] + gxy[i] * betayz[i] + gyz[i] * betayx[i]
+ (dzz[i] + ONE) * betazx[i] - gxz[i] * betayy[i];
}
// 1ms //
// Fused: inverse metric + Gamma constraint + Christoffel (3 loops -> 1)
for(int i=0;i<all;i+=1){
double det = gxx[i] * gyy[i] * gzz[i] + gxy[i] * gyz[i] * gxz[i] + gxz[i] * gxy[i] * gyz[i] -
gxz[i] * gyy[i] * gxz[i] - gxy[i] * gxy[i] * gzz[i] - gxx[i] * gyz[i] * gyz[i];
gupxx[i] = (gyy[i] * gzz[i] - gyz[i] * gyz[i]) / det;
gupxy[i] = -(gxy[i] * gzz[i] - gyz[i] * gxz[i]) / det;
gupxz[i] = (gxy[i] * gyz[i] - gyy[i] * gxz[i]) / det;
gupyy[i] = (gxx[i] * gzz[i] - gxz[i] * gxz[i]) / det;
gupyz[i] = -(gxx[i] * gyz[i] - gxy[i] * gxz[i]) / det;
gupzz[i] = (gxx[i] * gyy[i] - gxy[i] * gxy[i]) / det;
}
// 2.2ms //
if(co==0){
for (int i=0;i<all;i+=1) {
double det = (dxx[i] + ONE) * (dyy[i] + ONE) * (dzz[i] + ONE) + gxy[i] * gyz[i] * gxz[i] + gxz[i] * gxy[i] * gyz[i] -
gxz[i] * (dyy[i] + ONE) * gxz[i] - gxy[i] * gxy[i] * (dzz[i] + ONE) - (dxx[i] + ONE) * gyz[i] * gyz[i];
double lg_xx = ((dyy[i] + ONE) * (dzz[i] + ONE) - gyz[i] * gyz[i]) / det;
double lg_xy = -(gxy[i] * (dzz[i] + ONE) - gyz[i] * gxz[i]) / det;
double lg_xz = (gxy[i] * gyz[i] - (dyy[i] + ONE) * gxz[i]) / det;
double lg_yy = ((dxx[i] + ONE) * (dzz[i] + ONE) - gxz[i] * gxz[i]) / det;
double lg_yz = -((dxx[i] + ONE) * gyz[i] - gxy[i] * gxz[i]) / det;
double lg_zz = ((dxx[i] + ONE) * (dyy[i] + ONE) - gxy[i] * gxy[i]) / det;
gupxx[i] = lg_xx; gupxy[i] = lg_xy; gupxz[i] = lg_xz;
gupyy[i] = lg_yy; gupyz[i] = lg_yz; gupzz[i] = lg_zz;
if(co==0){
Gmx_Res[i] = Gamx[i] - (
gupxx[i] * (gupxx[i]*gxxx[i] + gupxy[i]*gxyx[i] + gupxz[i]*gxzx[i]) +
gupxy[i] * (gupxx[i]*gxyx[i] + gupxy[i]*gyyx[i] + gupxz[i]*gyzx[i]) +
gupxz[i] * (gupxx[i]*gxzx[i] + gupxy[i]*gyzx[i] + gupxz[i]*gzzx[i]) +
gupxx[i] * (gupxy[i]*gxxy[i] + gupyy[i]*gxyy[i] + gupyz[i]*gxzy[i]) +
gupxy[i] * (gupxy[i]*gxyy[i] + gupyy[i]*gyyy[i] + gupyz[i]*gyzy[i]) +
gupxz[i] * (gupxy[i]*gxzy[i] + gupyy[i]*gyzy[i] + gupyz[i]*gzzy[i]) +
gupxx[i] * (gupxz[i]*gxxz[i] + gupyz[i]*gxyz[i] + gupzz[i]*gxzz[i]) +
gupxy[i] * (gupxz[i]*gxyz[i] + gupyz[i]*gyyz[i] + gupzz[i]*gyzz[i]) +
gupxz[i] * (gupxz[i]*gxzz[i] + gupyz[i]*gyzz[i] + gupzz[i]*gzzz[i])
lg_xx * (lg_xx*gxxx[i] + lg_xy*gxyx[i] + lg_xz*gxzx[i]) +
lg_xy * (lg_xx*gxyx[i] + lg_xy*gyyx[i] + lg_xz*gyzx[i]) +
lg_xz * (lg_xx*gxzx[i] + lg_xy*gyzx[i] + lg_xz*gzzx[i]) +
lg_xx * (lg_xy*gxxy[i] + lg_yy*gxyy[i] + lg_yz*gxzy[i]) +
lg_xy * (lg_xy*gxyy[i] + lg_yy*gyyy[i] + lg_yz*gyzy[i]) +
lg_xz * (lg_xy*gxzy[i] + lg_yy*gyzy[i] + lg_yz*gzzy[i]) +
lg_xx * (lg_xz*gxxz[i] + lg_yz*gxyz[i] + lg_zz*gxzz[i]) +
lg_xy * (lg_xz*gxyz[i] + lg_yz*gyyz[i] + lg_zz*gyzz[i]) +
lg_xz * (lg_xz*gxzz[i] + lg_yz*gyzz[i] + lg_zz*gzzz[i])
);
Gmy_Res[i] = Gamy[i] - (
gupxx[i] * (gupxy[i]*gxxx[i] + gupyy[i]*gxyx[i] + gupyz[i]*gxzx[i]) +
gupxy[i] * (gupxy[i]*gxyx[i] + gupyy[i]*gyyx[i] + gupyz[i]*gyzx[i]) +
gupxz[i] * (gupxy[i]*gxzx[i] + gupyy[i]*gyzx[i] + gupyz[i]*gzzx[i]) +
gupxy[i] * (gupxy[i]*gxxy[i] + gupyy[i]*gxyy[i] + gupyz[i]*gxzy[i]) +
gupyy[i] * (gupxy[i]*gxyy[i] + gupyy[i]*gyyy[i] + gupyz[i]*gyzy[i]) +
gupyz[i] * (gupxy[i]*gxzy[i] + gupyy[i]*gyzy[i] + gupyz[i]*gzzy[i]) +
gupxy[i] * (gupxz[i]*gxxz[i] + gupyz[i]*gxyz[i] + gupzz[i]*gxzz[i]) +
gupyy[i] * (gupxz[i]*gxyz[i] + gupyz[i]*gyyz[i] + gupzz[i]*gyzz[i]) +
gupyz[i] * (gupxz[i]*gxzz[i] + gupyz[i]*gyzz[i] + gupzz[i]*gzzz[i])
lg_xx * (lg_xy*gxxx[i] + lg_yy*gxyx[i] + lg_yz*gxzx[i]) +
lg_xy * (lg_xy*gxyx[i] + lg_yy*gyyx[i] + lg_yz*gyzx[i]) +
lg_xz * (lg_xy*gxzx[i] + lg_yy*gyzx[i] + lg_yz*gzzx[i]) +
lg_xy * (lg_xy*gxxy[i] + lg_yy*gxyy[i] + lg_yz*gxzy[i]) +
lg_yy * (lg_xy*gxyy[i] + lg_yy*gyyy[i] + lg_yz*gyzy[i]) +
lg_yz * (lg_xy*gxzy[i] + lg_yy*gyzy[i] + lg_yz*gzzy[i]) +
lg_xy * (lg_xz*gxxz[i] + lg_yz*gxyz[i] + lg_zz*gxzz[i]) +
lg_yy * (lg_xz*gxyz[i] + lg_yz*gyyz[i] + lg_zz*gyzz[i]) +
lg_yz * (lg_xz*gxzz[i] + lg_yz*gyzz[i] + lg_zz*gzzz[i])
);
Gmz_Res[i] = Gamz[i] - (
gupxx[i] * (gupxz[i]*gxxx[i] + gupyz[i]*gxyx[i] + gupzz[i]*gxzx[i]) +
gupxy[i] * (gupxz[i]*gxyx[i] + gupyz[i]*gyyx[i] + gupzz[i]*gyzx[i]) +
gupxz[i] * (gupxz[i]*gxzx[i] + gupyz[i]*gyzx[i] + gupzz[i]*gzzx[i]) +
gupxy[i] * (gupxz[i]*gxxy[i] + gupyz[i]*gxyy[i] + gupzz[i]*gxzy[i]) +
gupyy[i] * (gupxz[i]*gxyy[i] + gupyz[i]*gyyy[i] + gupzz[i]*gyzy[i]) +
gupyz[i] * (gupxz[i]*gxzy[i] + gupyz[i]*gyzy[i] + gupzz[i]*gzzy[i]) +
gupxz[i] * (gupxz[i]*gxxz[i] + gupyz[i]*gxyz[i] + gupzz[i]*gxzz[i]) +
gupyz[i] * (gupxz[i]*gxyz[i] + gupyz[i]*gyyz[i] + gupzz[i]*gyzz[i]) +
gupzz[i] * (gupxz[i]*gxzz[i] + gupyz[i]*gyzz[i] + gupzz[i]*gzzz[i])
lg_xx * (lg_xz*gxxx[i] + lg_yz*gxyx[i] + lg_zz*gxzx[i]) +
lg_xy * (lg_xz*gxyx[i] + lg_yz*gyyx[i] + lg_zz*gyzx[i]) +
lg_xz * (lg_xz*gxzx[i] + lg_yz*gyzx[i] + lg_zz*gzzx[i]) +
lg_xy * (lg_xz*gxxy[i] + lg_yz*gxyy[i] + lg_zz*gxzy[i]) +
lg_yy * (lg_xz*gxyy[i] + lg_yz*gyyy[i] + lg_zz*gyzy[i]) +
lg_yz * (lg_xz*gxzy[i] + lg_yz*gyzy[i] + lg_zz*gzzy[i]) +
lg_xz * (lg_xz*gxxz[i] + lg_yz*gxyz[i] + lg_zz*gxzz[i]) +
lg_yz * (lg_xz*gxyz[i] + lg_yz*gyyz[i] + lg_zz*gyzz[i]) +
lg_zz * (lg_xz*gxzz[i] + lg_yz*gyzz[i] + lg_zz*gzzz[i])
);
}
Gamxxx[i] = HALF * ( lg_xx*gxxx[i]
+ lg_xy*(TWO*gxyx[i] - gxxy[i])
+ lg_xz*(TWO*gxzx[i] - gxxz[i]) );
Gamyxx[i] = HALF * ( lg_xy*gxxx[i]
+ lg_yy*(TWO*gxyx[i] - gxxy[i])
+ lg_yz*(TWO*gxzx[i] - gxxz[i]) );
Gamzxx[i] = HALF * ( lg_xz*gxxx[i]
+ lg_yz*(TWO*gxyx[i] - gxxy[i])
+ lg_zz*(TWO*gxzx[i] - gxxz[i]) );
Gamxyy[i] = HALF * ( lg_xx*(TWO*gxyy[i] - gyyx[i])
+ lg_xy*gyyy[i]
+ lg_xz*(TWO*gyzy[i] - gyyz[i]) );
Gamyyy[i] = HALF * ( lg_xy*(TWO*gxyy[i] - gyyx[i])
+ lg_yy*gyyy[i]
+ lg_yz*(TWO*gyzy[i] - gyyz[i]) );
Gamzyy[i] = HALF * ( lg_xz*(TWO*gxyy[i] - gyyx[i])
+ lg_yz*gyyy[i]
+ lg_zz*(TWO*gyzy[i] - gyyz[i]) );
Gamxzz[i] = HALF * ( lg_xx*(TWO*gxzz[i] - gzzx[i])
+ lg_xy*(TWO*gyzz[i] - gzzy[i])
+ lg_xz*gzzz[i] );
Gamyzz[i] = HALF * ( lg_xy*(TWO*gxzz[i] - gzzx[i])
+ lg_yy*(TWO*gyzz[i] - gzzy[i])
+ lg_yz*gzzz[i] );
Gamzzz[i] = HALF * ( lg_xz*(TWO*gxzz[i] - gzzx[i])
+ lg_yz*(TWO*gyzz[i] - gzzy[i])
+ lg_zz*gzzz[i] );
Gamxxy[i] = HALF * ( lg_xx*gxxy[i]
+ lg_xy*gyyx[i]
+ lg_xz*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamyxy[i] = HALF * ( lg_xy*gxxy[i]
+ lg_yy*gyyx[i]
+ lg_yz*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamzxy[i] = HALF * ( lg_xz*gxxy[i]
+ lg_yz*gyyx[i]
+ lg_zz*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamxxz[i] = HALF * ( lg_xx*gxxz[i]
+ lg_xy*(gxyz[i] + gyzx[i] - gxzy[i])
+ lg_xz*gzzx[i] );
Gamyxz[i] = HALF * ( lg_xy*gxxz[i]
+ lg_yy*(gxyz[i] + gyzx[i] - gxzy[i])
+ lg_yz*gzzx[i] );
Gamzxz[i] = HALF * ( lg_xz*gxxz[i]
+ lg_yz*(gxyz[i] + gyzx[i] - gxzy[i])
+ lg_zz*gzzx[i] );
Gamxyz[i] = HALF * ( lg_xx*(gxyz[i] + gxzy[i] - gyzx[i])
+ lg_xy*gyyz[i]
+ lg_xz*gzzy[i] );
Gamyyz[i] = HALF * ( lg_xy*(gxyz[i] + gxzy[i] - gyzx[i])
+ lg_yy*gyyz[i]
+ lg_yz*gzzy[i] );
Gamzyz[i] = HALF * ( lg_xz*(gxyz[i] + gxzy[i] - gyzx[i])
+ lg_yz*gyyz[i]
+ lg_zz*gzzy[i] );
}
// 5ms //
// Fused: A^{ij} raise-index + Gamma_rhs part 1 (2 loops -> 1)
for (int i=0;i<all;i+=1) {
Gamxxx[i] = HALF * ( gupxx[i]*gxxx[i]
+ gupxy[i]*(TWO*gxyx[i] - gxxy[i])
+ gupxz[i]*(TWO*gxzx[i] - gxxz[i]) );
Gamyxx[i] = HALF * ( gupxy[i]*gxxx[i]
+ gupyy[i]*(TWO*gxyx[i] - gxxy[i])
+ gupyz[i]*(TWO*gxzx[i] - gxxz[i]) );
Gamzxx[i] = HALF * ( gupxz[i]*gxxx[i]
+ gupyz[i]*(TWO*gxyx[i] - gxxy[i])
+ gupzz[i]*(TWO*gxzx[i] - gxxz[i]) );
Gamxyy[i] = HALF * ( gupxx[i]*(TWO*gxyy[i] - gyyx[i])
+ gupxy[i]*gyyy[i]
+ gupxz[i]*(TWO*gyzy[i] - gyyz[i]) );
Gamyyy[i] = HALF * ( gupxy[i]*(TWO*gxyy[i] - gyyx[i])
+ gupyy[i]*gyyy[i]
+ gupyz[i]*(TWO*gyzy[i] - gyyz[i]) );
Gamzyy[i] = HALF * ( gupxz[i]*(TWO*gxyy[i] - gyyx[i])
+ gupyz[i]*gyyy[i]
+ gupzz[i]*(TWO*gyzy[i] - gyyz[i]) );
Gamxzz[i] = HALF * ( gupxx[i]*(TWO*gxzz[i] - gzzx[i])
+ gupxy[i]*(TWO*gyzz[i] - gzzy[i])
+ gupxz[i]*gzzz[i] );
Gamyzz[i] = HALF * ( gupxy[i]*(TWO*gxzz[i] - gzzx[i])
+ gupyy[i]*(TWO*gyzz[i] - gzzy[i])
+ gupyz[i]*gzzz[i] );
Gamzzz[i] = HALF * ( gupxz[i]*(TWO*gxzz[i] - gzzx[i])
+ gupyz[i]*(TWO*gyzz[i] - gzzy[i])
+ gupzz[i]*gzzz[i] );
Gamxxy[i] = HALF * ( gupxx[i]*gxxy[i]
+ gupxy[i]*gyyx[i]
+ gupxz[i]*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamyxy[i] = HALF * ( gupxy[i]*gxxy[i]
+ gupyy[i]*gyyx[i]
+ gupyz[i]*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamzxy[i] = HALF * ( gupxz[i]*gxxy[i]
+ gupyz[i]*gyyx[i]
+ gupzz[i]*(gxzy[i] + gyzx[i] - gxyz[i]) );
Gamxxz[i] = HALF * ( gupxx[i]*gxxz[i]
+ gupxy[i]*(gxyz[i] + gyzx[i] - gxzy[i])
+ gupxz[i]*gzzx[i] );
Gamyxz[i] = HALF * ( gupxy[i]*gxxz[i]
+ gupyy[i]*(gxyz[i] + gyzx[i] - gxzy[i])
+ gupyz[i]*gzzx[i] );
Gamzxz[i] = HALF * ( gupxz[i]*gxxz[i]
+ gupyz[i]*(gxyz[i] + gyzx[i] - gxzy[i])
+ gupzz[i]*gzzx[i] );
Gamxyz[i] = HALF * ( gupxx[i]*(gxyz[i] + gxzy[i] - gyzx[i])
+ gupxy[i]*gyyz[i]
+ gupxz[i]*gzzy[i] );
Gamyyz[i] = HALF * ( gupxy[i]*(gxyz[i] + gxzy[i] - gyzx[i])
+ gupyy[i]*gyyz[i]
+ gupyz[i]*gzzy[i] );
Gamzyz[i] = HALF * ( gupxz[i]*(gxyz[i] + gxzy[i] - gyzx[i])
+ gupyz[i]*gyyz[i]
+ gupzz[i]*gzzy[i] );
}
// 1.8ms //
for (int i=0;i<all;i+=1) {
Rxx[i] = gupxx[i]*gupxx[i]*Axx[i]
double axx = gupxx[i]*gupxx[i]*Axx[i]
+ gupxy[i]*gupxy[i]*Ayy[i]
+ gupxz[i]*gupxz[i]*Azz[i]
+ TWO * ( gupxx[i]*gupxy[i]*Axy[i]
+ gupxx[i]*gupxz[i]*Axz[i]
+ gupxy[i]*gupxz[i]*Ayz[i] );
Ryy[i] = gupxy[i]*gupxy[i]*Axx[i]
double ayy = gupxy[i]*gupxy[i]*Axx[i]
+ gupyy[i]*gupyy[i]*Ayy[i]
+ gupyz[i]*gupyz[i]*Azz[i]
+ TWO * ( gupxy[i]*gupyy[i]*Axy[i]
+ gupxy[i]*gupyz[i]*Axz[i]
+ gupyy[i]*gupyz[i]*Ayz[i] );
Rzz[i] = gupxz[i]*gupxz[i]*Axx[i]
double azz = gupxz[i]*gupxz[i]*Axx[i]
+ gupyz[i]*gupyz[i]*Ayy[i]
+ gupzz[i]*gupzz[i]*Azz[i]
+ TWO * ( gupxz[i]*gupyz[i]*Axy[i]
+ gupxz[i]*gupzz[i]*Axz[i]
+ gupyz[i]*gupzz[i]*Ayz[i] );
Rxy[i] = gupxx[i]*gupxy[i]*Axx[i]
double axy = gupxx[i]*gupxy[i]*Axx[i]
+ gupxy[i]*gupyy[i]*Ayy[i]
+ gupxz[i]*gupyz[i]*Azz[i]
+ ( gupxx[i]*gupyy[i] + gupxy[i]*gupxy[i] ) * Axy[i]
+ ( gupxx[i]*gupyz[i] + gupxz[i]*gupxy[i] ) * Axz[i]
+ ( gupxy[i]*gupyz[i] + gupxz[i]*gupyy[i] ) * Ayz[i];
Rxz[i] = gupxx[i]*gupxz[i]*Axx[i]
double axz = gupxx[i]*gupxz[i]*Axx[i]
+ gupxy[i]*gupyz[i]*Ayy[i]
+ gupxz[i]*gupzz[i]*Azz[i]
+ ( gupxx[i]*gupyz[i] + gupxy[i]*gupxz[i] ) * Axy[i]
+ ( gupxx[i]*gupzz[i] + gupxz[i]*gupxz[i] ) * Axz[i]
+ ( gupxy[i]*gupzz[i] + gupxz[i]*gupyz[i] ) * Ayz[i];
Ryz[i] = gupxy[i]*gupxz[i]*Axx[i]
double ayz = gupxy[i]*gupxz[i]*Axx[i]
+ gupyy[i]*gupyz[i]*Ayy[i]
+ gupyz[i]*gupzz[i]*Azz[i]
+ ( gupxy[i]*gupyz[i] + gupyy[i]*gupxz[i] ) * Axy[i]
+ ( gupxy[i]*gupzz[i] + gupyz[i]*gupxz[i] ) * Axz[i]
+ ( gupyy[i]*gupzz[i] + gupyz[i]*gupyz[i] ) * Ayz[i];
}
// 4ms //
for(int i=0;i<all;i+=1){
Gamx_rhs[i] = - TWO * ( Lapx[i] * Rxx[i] + Lapy[i] * Rxy[i] + Lapz[i] * Rxz[i] ) +
TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i] * Rxx[i] + chiy[i] * Rxy[i] + chiz[i] * Rxz[i] ) -
gupxx[i] * ( F2o3 * Kx[i] + EIGHT * PI * Sx[i] ) -
gupxy[i] * ( F2o3 * Ky[i] + EIGHT * PI * Sy[i] ) -
gupxz[i] * ( F2o3 * Kz[i] + EIGHT * PI * Sz[i] ) +
Gamxxx[i] * Rxx[i] + Gamxyy[i] * Ryy[i] + Gamxzz[i] * Rzz[i] +
TWO * ( Gamxxy[i] * Rxy[i] + Gamxxz[i] * Rxz[i] + Gamxyz[i] * Ryz[i] ) );
Rxx[i] = axx; Ryy[i] = ayy; Rzz[i] = azz;
Rxy[i] = axy; Rxz[i] = axz; Ryz[i] = ayz;
Gamy_rhs[i] = -TWO * ( Lapx[i]*Rxy[i] + Lapy[i]*Ryy[i] + Lapz[i]*Ryz[i] )
Gamx_rhs[i] = - TWO * ( Lapx[i]*axx + Lapy[i]*axy + Lapz[i]*axz ) +
TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i]*axx + chiy[i]*axy + chiz[i]*axz ) -
gupxx[i] * ( F2o3*Kx[i] + EIGHT*PI*Sx[i] ) -
gupxy[i] * ( F2o3*Ky[i] + EIGHT*PI*Sy[i] ) -
gupxz[i] * ( F2o3*Kz[i] + EIGHT*PI*Sz[i] ) +
Gamxxx[i]*axx + Gamxyy[i]*ayy + Gamxzz[i]*azz +
TWO * ( Gamxxy[i]*axy + Gamxxz[i]*axz + Gamxyz[i]*ayz ) );
Gamy_rhs[i] = -TWO * ( Lapx[i]*axy + Lapy[i]*ayy + Lapz[i]*ayz )
+ TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i]*Rxy[i] + chiy[i]*Ryy[i] + chiz[i]*Ryz[i] )
-F3o2/chin1[i] * ( chix[i]*axy + chiy[i]*ayy + chiz[i]*ayz )
- gupxy[i] * ( F2o3*Kx[i] + EIGHT*PI*Sx[i] )
- gupyy[i] * ( F2o3*Ky[i] + EIGHT*PI*Sy[i] )
- gupyz[i] * ( F2o3*Kz[i] + EIGHT*PI*Sz[i] )
+ Gamyxx[i]*Rxx[i] + Gamyyy[i]*Ryy[i] + Gamyzz[i]*Rzz[i]
+ TWO * ( Gamyxy[i]*Rxy[i] + Gamyxz[i]*Rxz[i] + Gamyyz[i]*Ryz[i] )
+ Gamyxx[i]*axx + Gamyyy[i]*ayy + Gamyzz[i]*azz
+ TWO * ( Gamyxy[i]*axy + Gamyxz[i]*axz + Gamyyz[i]*ayz )
);
Gamz_rhs[i] = -TWO * ( Lapx[i]*Rxz[i] + Lapy[i]*Ryz[i] + Lapz[i]*Rzz[i] )
Gamz_rhs[i] = -TWO * ( Lapx[i]*axz + Lapy[i]*ayz + Lapz[i]*azz )
+ TWO * alpn1[i] * (
-F3o2/chin1[i] * ( chix[i]*Rxz[i] + chiy[i]*Ryz[i] + chiz[i]*Rzz[i] )
-F3o2/chin1[i] * ( chix[i]*axz + chiy[i]*ayz + chiz[i]*azz )
- gupxz[i] * ( F2o3*Kx[i] + EIGHT*PI*Sx[i] )
- gupyz[i] * ( F2o3*Ky[i] + EIGHT*PI*Sy[i] )
- gupzz[i] * ( F2o3*Kz[i] + EIGHT*PI*Sz[i] )
+ Gamzxx[i]*Rxx[i] + Gamzyy[i]*Ryy[i] + Gamzzz[i]*Rzz[i]
+ TWO * ( Gamzxy[i]*Rxy[i] + Gamzxz[i]*Rxz[i] + Gamzyz[i]*Ryz[i] )
+ Gamzxx[i]*axx + Gamzyy[i]*ayy + Gamzzz[i]*azz
+ TWO * ( Gamzxy[i]*axy + Gamzxz[i]*axz + Gamzyz[i]*ayz )
);
}
// 22.3ms //
@@ -365,65 +326,63 @@ int f_compute_rhs_bssn(int *ex, double &T,
fderivs(ex,Gamy,Gamyx,Gamyy,Gamyz,X,Y,Z,SYM ,ANTI,SYM ,Symmetry,Lev);
fderivs(ex,Gamz,Gamzx,Gamzy,Gamzz,X,Y,Z,SYM ,SYM ,ANTI,Symmetry,Lev);
// 3.5ms //
// Fused: fxx/Gamxa + Gamma_rhs part 2 (2 loops -> 1)
for(int i=0;i<all;i+=1){
fxx[i] = gxxx[i] + gxyy[i] + gxzz[i];
fxy[i] = gxyx[i] + gyyy[i] + gyzz[i];
fxz[i] = gxzx[i] + gyzy[i] + gzzz[i];
Gamxa[i] = gupxx[i]*Gamxxx[i] + gupyy[i]*Gamxyy[i] + gupzz[i]*Gamxzz[i]
const double divb = betaxx[i] + betayy[i] + betazz[i];
double lfxx = gxxx[i] + gxyy[i] + gxzz[i];
double lfxy = gxyx[i] + gyyy[i] + gyzz[i];
double lfxz = gxzx[i] + gyzy[i] + gzzz[i];
fxx[i] = lfxx; fxy[i] = lfxy; fxz[i] = lfxz;
double gxa = gupxx[i]*Gamxxx[i] + gupyy[i]*Gamxyy[i] + gupzz[i]*Gamxzz[i]
+ TWO * ( gupxy[i]*Gamxxy[i] + gupxz[i]*Gamxxz[i] + gupyz[i]*Gamxyz[i] );
Gamya[i] = gupxx[i]*Gamyxx[i] + gupyy[i]*Gamyyy[i] + gupzz[i]*Gamyzz[i]
double gya = gupxx[i]*Gamyxx[i] + gupyy[i]*Gamyyy[i] + gupzz[i]*Gamyzz[i]
+ TWO * ( gupxy[i]*Gamyxy[i] + gupxz[i]*Gamyxz[i] + gupyz[i]*Gamyyz[i] );
Gamza[i] = gupxx[i]*Gamzxx[i] + gupyy[i]*Gamzyy[i] + gupzz[i]*Gamzzz[i]
double gza = gupxx[i]*Gamzxx[i] + gupyy[i]*Gamzyy[i] + gupzz[i]*Gamzzz[i]
+ TWO * ( gupxy[i]*Gamzxy[i] + gupxz[i]*Gamzxz[i] + gupyz[i]*Gamzyz[i] );
}
// 3.9ms //
for(int i=0;i<all;i+=1){
Gamx_rhs[i] = Gamx_rhs[i]
+ F2o3 * Gamxa[i] * div_beta[i]
- Gamxa[i] * betaxx[i] - Gamya[i] * betaxy[i] - Gamza[i] * betaxz[i]
+ F1o3 * ( gupxx[i] * fxx[i] + gupxy[i] * fxy[i] + gupxz[i] * fxz[i] )
+ F2o3 * gxa * divb
- gxa * betaxx[i] - gya * betaxy[i] - gza * betaxz[i]
+ F1o3 * ( gupxx[i] * lfxx + gupxy[i] * lfxy + gupxz[i] * lfxz )
+ gupxx[i] * gxxx[i] + gupyy[i] * gyyx[i] + gupzz[i] * gzzx[i]
+ TWO * ( gupxy[i] * gxyx[i] + gupxz[i] * gxzx[i] + gupyz[i] * gyzx[i] );
Gamy_rhs[i] = Gamy_rhs[i]
+ F2o3 * Gamya[i] * div_beta[i]
- Gamxa[i] * betayx[i] - Gamya[i] * betayy[i] - Gamza[i] * betayz[i]
+ F1o3 * ( gupxy[i] * fxx[i] + gupyy[i] * fxy[i] + gupyz[i] * fxz[i] )
+ F2o3 * gya * divb
- gxa * betayx[i] - gya * betayy[i] - gza * betayz[i]
+ F1o3 * ( gupxy[i] * lfxx + gupyy[i] * lfxy + gupyz[i] * lfxz )
+ gupxx[i] * gxxy[i] + gupyy[i] * gyyy[i] + gupzz[i] * gzzy[i]
+ TWO * ( gupxy[i] * gxyy[i] + gupxz[i] * gxzy[i] + gupyz[i] * gyzy[i] );
Gamz_rhs[i] = Gamz_rhs[i]
+ F2o3 * Gamza[i] * div_beta[i]
- Gamxa[i] * betazx[i] - Gamya[i] * betazy[i] - Gamza[i] * betazz[i]
+ F1o3 * ( gupxz[i] * fxx[i] + gupyz[i] * fxy[i] + gupzz[i] * fxz[i] )
+ F2o3 * gza * divb
- gxa * betazx[i] - gya * betazy[i] - gza * betazz[i]
+ F1o3 * ( gupxz[i] * lfxx + gupyz[i] * lfxy + gupzz[i] * lfxz )
+ gupxx[i] * gxxz[i] + gupyy[i] * gyyz[i] + gupzz[i] * gzzz[i]
+ TWO * ( gupxy[i] * gxyz[i] + gupxz[i] * gxzz[i] + gupyz[i] * gyzz[i] );
}
// 4.4ms //
for (int i=0;i<all;i+=1) {
gxxx[i] = gxx[i]*Gamxxx[i] + gxy[i]*Gamyxx[i] + gxz[i]*Gamzxx[i];
gxyx[i] = gxx[i]*Gamxxy[i] + gxy[i]*Gamyxy[i] + gxz[i]*Gamzxy[i];
gxzx[i] = gxx[i]*Gamxxz[i] + gxy[i]*Gamyxz[i] + gxz[i]*Gamzxz[i];
gyyx[i] = gxx[i]*Gamxyy[i] + gxy[i]*Gamyyy[i] + gxz[i]*Gamzyy[i];
gyzx[i] = gxx[i]*Gamxyz[i] + gxy[i]*Gamyyz[i] + gxz[i]*Gamzyz[i];
gzzx[i] = gxx[i]*Gamxzz[i] + gxy[i]*Gamyzz[i] + gxz[i]*Gamzzz[i];
gxxx[i] = (dxx[i] + ONE)*Gamxxx[i] + gxy[i]*Gamyxx[i] + gxz[i]*Gamzxx[i];
gxyx[i] = (dxx[i] + ONE)*Gamxxy[i] + gxy[i]*Gamyxy[i] + gxz[i]*Gamzxy[i];
gxzx[i] = (dxx[i] + ONE)*Gamxxz[i] + gxy[i]*Gamyxz[i] + gxz[i]*Gamzxz[i];
gyyx[i] = (dxx[i] + ONE)*Gamxyy[i] + gxy[i]*Gamyyy[i] + gxz[i]*Gamzyy[i];
gyzx[i] = (dxx[i] + ONE)*Gamxyz[i] + gxy[i]*Gamyyz[i] + gxz[i]*Gamzyz[i];
gzzx[i] = (dxx[i] + ONE)*Gamxzz[i] + gxy[i]*Gamyzz[i] + gxz[i]*Gamzzz[i];
gxxy[i] = gxy[i]*Gamxxx[i] + gyy[i]*Gamyxx[i] + gyz[i]*Gamzxx[i];
gxyy[i] = gxy[i]*Gamxxy[i] + gyy[i]*Gamyxy[i] + gyz[i]*Gamzxy[i];
gxzy[i] = gxy[i]*Gamxxz[i] + gyy[i]*Gamyxz[i] + gyz[i]*Gamzxz[i];
gyyy[i] = gxy[i]*Gamxyy[i] + gyy[i]*Gamyyy[i] + gyz[i]*Gamzyy[i];
gyzy[i] = gxy[i]*Gamxyz[i] + gyy[i]*Gamyyz[i] + gyz[i]*Gamzyz[i];
gzzy[i] = gxy[i]*Gamxzz[i] + gyy[i]*Gamyzz[i] + gyz[i]*Gamzzz[i];
gxxy[i] = gxy[i]*Gamxxx[i] + (dyy[i] + ONE)*Gamyxx[i] + gyz[i]*Gamzxx[i];
gxyy[i] = gxy[i]*Gamxxy[i] + (dyy[i] + ONE)*Gamyxy[i] + gyz[i]*Gamzxy[i];
gxzy[i] = gxy[i]*Gamxxz[i] + (dyy[i] + ONE)*Gamyxz[i] + gyz[i]*Gamzxz[i];
gyyy[i] = gxy[i]*Gamxyy[i] + (dyy[i] + ONE)*Gamyyy[i] + gyz[i]*Gamzyy[i];
gyzy[i] = gxy[i]*Gamxyz[i] + (dyy[i] + ONE)*Gamyyz[i] + gyz[i]*Gamzyz[i];
gzzy[i] = gxy[i]*Gamxzz[i] + (dyy[i] + ONE)*Gamyzz[i] + gyz[i]*Gamzzz[i];
gxxz[i] = gxz[i]*Gamxxx[i] + gyz[i]*Gamyxx[i] + gzz[i]*Gamzxx[i];
gxyz[i] = gxz[i]*Gamxxy[i] + gyz[i]*Gamyxy[i] + gzz[i]*Gamzxy[i];
gxzz[i] = gxz[i]*Gamxxz[i] + gyz[i]*Gamyxz[i] + gzz[i]*Gamzxz[i];
gyyz[i] = gxz[i]*Gamxyy[i] + gyz[i]*Gamyyy[i] + gzz[i]*Gamzyy[i];
gyzz[i] = gxz[i]*Gamxyz[i] + gyz[i]*Gamyyz[i] + gzz[i]*Gamzyz[i];
gzzz[i] = gxz[i]*Gamxzz[i] + gyz[i]*Gamyzz[i] + gzz[i]*Gamzzz[i];
gxxz[i] = gxz[i]*Gamxxx[i] + gyz[i]*Gamyxx[i] + (dzz[i] + ONE)*Gamzxx[i];
gxyz[i] = gxz[i]*Gamxxy[i] + gyz[i]*Gamyxy[i] + (dzz[i] + ONE)*Gamzxy[i];
gxzz[i] = gxz[i]*Gamxxz[i] + gyz[i]*Gamyxz[i] + (dzz[i] + ONE)*Gamzxz[i];
gyyz[i] = gxz[i]*Gamxyy[i] + gyz[i]*Gamyyy[i] + (dzz[i] + ONE)*Gamzyy[i];
gyzz[i] = gxz[i]*Gamxyz[i] + gyz[i]*Gamyyz[i] + (dzz[i] + ONE)*Gamzyz[i];
gzzz[i] = gxz[i]*Gamxzz[i] + gyz[i]*Gamyzz[i] + (dzz[i] + ONE)*Gamzzz[i];
}
// 22.2ms //
fdderivs(ex,dxx,fxx,fxy,fxz,fyy,fyz,fzz,X,Y,Z,SYM ,SYM ,SYM ,Symmetry,Lev);
@@ -471,10 +430,17 @@ int f_compute_rhs_bssn(int *ex, double &T,
// 14ms //
/* 假设 all = ex1*ex2*ex3所有量都是 length=all 的 double 数组(已按同一扁平化规则排布) */
for (int i = 0; i < all; i += 1) {
const double gxa = gupxx[i]*Gamxxx[i] + gupyy[i]*Gamxyy[i] + gupzz[i]*Gamxzz[i]
+ TWO * ( gupxy[i]*Gamxxy[i] + gupxz[i]*Gamxxz[i] + gupyz[i]*Gamxyz[i] );
const double gya = gupxx[i]*Gamyxx[i] + gupyy[i]*Gamyyy[i] + gupzz[i]*Gamyzz[i]
+ TWO * ( gupxy[i]*Gamyxy[i] + gupxz[i]*Gamyxz[i] + gupyz[i]*Gamyyz[i] );
const double gza = gupxx[i]*Gamzxx[i] + gupyy[i]*Gamzyy[i] + gupzz[i]*Gamzzz[i]
+ TWO * ( gupxy[i]*Gamzxy[i] + gupxz[i]*Gamzxz[i] + gupyz[i]*Gamzyz[i] );
Rxx[i] =
-HALF * Rxx[i]
+ gxx[i] * Gamxx[i] + gxy[i] * Gamyx[i] + gxz[i] * Gamzx[i]
+ Gamxa[i] * gxxx[i] + Gamya[i] * gxyx[i] + Gamza[i] * gxzx[i]
+ (dxx[i] + ONE) * Gamxx[i] + gxy[i] * Gamyx[i] + gxz[i] * Gamzx[i]
+ gxa * gxxx[i] + gya * gxyx[i] + gza * gxzx[i]
+ gupxx[i] * (
TWO * (Gamxxx[i] * gxxx[i] + Gamyxx[i] * gxyx[i] + Gamzxx[i] * gxzx[i]) +
(Gamxxx[i] * gxxx[i] + Gamyxx[i] * gxxy[i] + Gamzxx[i] * gxxz[i])
@@ -508,8 +474,8 @@ int f_compute_rhs_bssn(int *ex, double &T,
Ryy[i] =
-HALF * Ryy[i]
+ gxy[i] * Gamxy[i] + gyy[i] * Gamyy[i] + gyz[i] * Gamzy[i]
+ Gamxa[i] * gxyy[i] + Gamya[i] * gyyy[i] + Gamza[i] * gyzy[i]
+ gxy[i] * Gamxy[i] + (dyy[i] + ONE) * Gamyy[i] + gyz[i] * Gamzy[i]
+ gxa * gxyy[i] + gya * gyyy[i] + gza * gyzy[i]
+ gupxx[i] * (
TWO * (Gamxxy[i] * gxxy[i] + Gamyxy[i] * gxyy[i] + Gamzxy[i] * gxzy[i]) +
(Gamxxy[i] * gxyx[i] + Gamyxy[i] * gxyy[i] + Gamzxy[i] * gxyz[i])
@@ -543,8 +509,8 @@ int f_compute_rhs_bssn(int *ex, double &T,
Rzz[i] =
-HALF * Rzz[i]
+ gxz[i] * Gamxz[i] + gyz[i] * Gamyz[i] + gzz[i] * Gamzz[i]
+ Gamxa[i] * gxzz[i] + Gamya[i] * gyzz[i] + Gamza[i] * gzzz[i]
+ gxz[i] * Gamxz[i] + gyz[i] * Gamyz[i] + (dzz[i] + ONE) * Gamzz[i]
+ gxa * gxzz[i] + gya * gyzz[i] + gza * gzzz[i]
+ gupxx[i] * (
TWO * (Gamxxz[i] * gxxz[i] + Gamyxz[i] * gxyz[i] + Gamzxz[i] * gxzz[i]) +
(Gamxxz[i] * gxzx[i] + Gamyxz[i] * gxzy[i] + Gamzxz[i] * gxzz[i])
@@ -579,10 +545,10 @@ int f_compute_rhs_bssn(int *ex, double &T,
Rxy[i] =
HALF * (
-Rxy[i]
+ gxx[i] * Gamxy[i] + gxy[i] * Gamyy[i] + gxz[i] * Gamzy[i]
+ gxy[i] * Gamxx[i] + gyy[i] * Gamyx[i] + gyz[i] * Gamzx[i]
+ Gamxa[i] * gxyx[i] + Gamya[i] * gyyx[i] + Gamza[i] * gyzx[i]
+ Gamxa[i] * gxxy[i] + Gamya[i] * gxyy[i] + Gamza[i] * gxzy[i]
+ (dxx[i] + ONE) * Gamxy[i] + gxy[i] * Gamyy[i] + gxz[i] * Gamzy[i]
+ gxy[i] * Gamxx[i] + (dyy[i] + ONE) * Gamyx[i] + gyz[i] * Gamzx[i]
+ gxa * gxyx[i] + gya * gyyx[i] + gza * gyzx[i]
+ gxa * gxxy[i] + gya * gxyy[i] + gza * gxzy[i]
)
+ gupxx[i] * (
Gamxxx[i] * gxxy[i] + Gamyxx[i] * gxyy[i] + Gamzxx[i] * gxzy[i]
@@ -627,10 +593,10 @@ int f_compute_rhs_bssn(int *ex, double &T,
Rxz[i] =
HALF * (
-Rxz[i]
+ gxx[i] * Gamxz[i] + gxy[i] * Gamyz[i] + gxz[i] * Gamzz[i]
+ gxz[i] * Gamxx[i] + gyz[i] * Gamyx[i] + gzz[i] * Gamzx[i]
+ Gamxa[i] * gxzx[i] + Gamya[i] * gyzx[i] + Gamza[i] * gzzx[i]
+ Gamxa[i] * gxxz[i] + Gamya[i] * gxyz[i] + Gamza[i] * gxzz[i]
+ (dxx[i] + ONE) * Gamxz[i] + gxy[i] * Gamyz[i] + gxz[i] * Gamzz[i]
+ gxz[i] * Gamxx[i] + gyz[i] * Gamyx[i] + (dzz[i] + ONE) * Gamzx[i]
+ gxa * gxzx[i] + gya * gyzx[i] + gza * gzzx[i]
+ gxa * gxxz[i] + gya * gxyz[i] + gza * gxzz[i]
)
+ gupxx[i] * (
Gamxxx[i] * gxxz[i] + Gamyxx[i] * gxyz[i] + Gamzxx[i] * gxzz[i]
@@ -675,10 +641,10 @@ int f_compute_rhs_bssn(int *ex, double &T,
Ryz[i] =
HALF * (
-Ryz[i]
+ gxy[i] * Gamxz[i] + gyy[i] * Gamyz[i] + gyz[i] * Gamzz[i]
+ gxz[i] * Gamxy[i] + gyz[i] * Gamyy[i] + gzz[i] * Gamzy[i]
+ Gamxa[i] * gxzy[i] + Gamya[i] * gyzy[i] + Gamza[i] * gzzy[i]
+ Gamxa[i] * gxyz[i] + Gamya[i] * gyyz[i] + Gamza[i] * gyzz[i]
+ gxy[i] * Gamxz[i] + (dyy[i] + ONE) * Gamyz[i] + gyz[i] * Gamzz[i]
+ gxz[i] * Gamxy[i] + gyz[i] * Gamyy[i] + (dzz[i] + ONE) * Gamzy[i]
+ gxa * gxzy[i] + gya * gyzy[i] + gza * gzzy[i]
+ gxa * gxyz[i] + gya * gyyz[i] + gza * gyzz[i]
)
+ gupxx[i] * (
Gamxxy[i] * gxxz[i] + Gamyxy[i] * gxyz[i] + Gamzxy[i] * gxzz[i]
@@ -739,9 +705,9 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ TWO * gupxy[i] * (fxy[i] - (F3o2 / chin1[i]) * chix[i] * chiy[i])
+ TWO * gupxz[i] * (fxz[i] - (F3o2 / chin1[i]) * chix[i] * chiz[i])
+ TWO * gupyz[i] * (fyz[i] - (F3o2 / chin1[i]) * chiy[i] * chiz[i]);
Rxx[i] = Rxx[i] + ( fxx[i] - (chix[i] * chix[i]) / (chin1[i] * TWO) + gxx[i] * f[i] ) / (chin1[i] * TWO);
Ryy[i] = Ryy[i] + ( fyy[i] - (chiy[i] * chiy[i]) / (chin1[i] * TWO) + gyy[i] * f[i] ) / (chin1[i] * TWO);
Rzz[i] = Rzz[i] + ( fzz[i] - (chiz[i] * chiz[i]) / (chin1[i] * TWO) + gzz[i] * f[i] ) / (chin1[i] * TWO);
Rxx[i] = Rxx[i] + ( fxx[i] - (chix[i] * chix[i]) / (chin1[i] * TWO) + (dxx[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Ryy[i] = Ryy[i] + ( fyy[i] - (chiy[i] * chiy[i]) / (chin1[i] * TWO) + (dyy[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Rzz[i] = Rzz[i] + ( fzz[i] - (chiz[i] * chiz[i]) / (chin1[i] * TWO) + (dzz[i] + ONE) * f[i] ) / (chin1[i] * TWO);
Rxy[i] = Rxy[i] + ( fxy[i] - (chix[i] * chiy[i]) / (chin1[i] * TWO) + gxy[i] * f[i] ) / (chin1[i] * TWO);
Rxz[i] = Rxz[i] + ( fxz[i] - (chix[i] * chiz[i]) / (chin1[i] * TWO) + gxz[i] * f[i] ) / (chin1[i] * TWO);
@@ -760,17 +726,17 @@ int f_compute_rhs_bssn(int *ex, double &T,
gxxz[i] = (gupxz[i] * chix[i] + gupyz[i] * chiy[i] + gupzz[i] * chiz[i]) / chin1[i];
/* Christoffel 修正项 */
Gamxxx[i] = Gamxxx[i] - ( ((chix[i] + chix[i]) / chin1[i]) - gxx[i] * gxxx[i] ) * HALF;
Gamyxx[i] = Gamyxx[i] - ( 0.0 - gxx[i] * gxxy[i] ) * HALF; /* 原式只有 -gxx*gxxy */
Gamzxx[i] = Gamzxx[i] - ( 0.0 - gxx[i] * gxxz[i] ) * HALF;
Gamxxx[i] = Gamxxx[i] - ( ((chix[i] + chix[i]) / chin1[i]) - (dxx[i] + ONE) * gxxx[i] ) * HALF;
Gamyxx[i] = Gamyxx[i] - ( 0.0 - (dxx[i] + ONE) * gxxy[i] ) * HALF; /* 原式只有 -gxx*gxxy */
Gamzxx[i] = Gamzxx[i] - ( 0.0 - (dxx[i] + ONE) * gxxz[i] ) * HALF;
Gamxyy[i] = Gamxyy[i] - ( 0.0 - gyy[i] * gxxx[i] ) * HALF;
Gamyyy[i] = Gamyyy[i] - ( ((chiy[i] + chiy[i]) / chin1[i]) - gyy[i] * gxxy[i] ) * HALF;
Gamzyy[i] = Gamzyy[i] - ( 0.0 - gyy[i] * gxxz[i] ) * HALF;
Gamxyy[i] = Gamxyy[i] - ( 0.0 - (dyy[i] + ONE) * gxxx[i] ) * HALF;
Gamyyy[i] = Gamyyy[i] - ( ((chiy[i] + chiy[i]) / chin1[i]) - (dyy[i] + ONE) * gxxy[i] ) * HALF;
Gamzyy[i] = Gamzyy[i] - ( 0.0 - (dyy[i] + ONE) * gxxz[i] ) * HALF;
Gamxzz[i] = Gamxzz[i] - ( 0.0 - gzz[i] * gxxx[i] ) * HALF;
Gamyzz[i] = Gamyzz[i] - ( 0.0 - gzz[i] * gxxy[i] ) * HALF;
Gamzzz[i] = Gamzzz[i] - ( ((chiz[i] + chiz[i]) / chin1[i]) - gzz[i] * gxxz[i] ) * HALF;
Gamxzz[i] = Gamxzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxx[i] ) * HALF;
Gamyzz[i] = Gamyzz[i] - ( 0.0 - (dzz[i] + ONE) * gxxy[i] ) * HALF;
Gamzzz[i] = Gamzzz[i] - ( ((chiz[i] + chiz[i]) / chin1[i]) - (dzz[i] + ONE) * gxxz[i] ) * HALF;
Gamxxy[i] = Gamxxy[i] - ( ( chiy[i] / chin1[i]) - gxy[i] * gxxx[i] ) * HALF;
Gamyxy[i] = Gamyxy[i] - ( ( chix[i] / chin1[i]) - gxy[i] * gxxy[i] ) * HALF;
@@ -792,14 +758,13 @@ int f_compute_rhs_bssn(int *ex, double &T,
fxy[i] = fxy[i] - Gamxxy[i] * Lapx[i] - Gamyxy[i] * Lapy[i] - Gamzxy[i] * Lapz[i];
fxz[i] = fxz[i] - Gamxxz[i] * Lapx[i] - Gamyxz[i] * Lapy[i] - Gamzxz[i] * Lapz[i];
fyz[i] = fyz[i] - Gamxyz[i] * Lapx[i] - Gamyyz[i] * Lapy[i] - Gamzyz[i] * Lapz[i];
}
// 1ms //
for (int i=0;i<all;i+=1) {
trK_rhs[i] = gupxx[i] * fxx[i] + gupyy[i] * fyy[i] + gupzz[i] * fzz[i]
+ TWO * ( gupxy[i] * fxy[i] + gupxz[i] * fxz[i] + gupyz[i] * fyz[i] );
}
// 2.5ms //
for (int i=0;i<all;i+=1) {
const double divb = betaxx[i] + betayy[i] + betazz[i];
S[i] = chin1[i] * (
gupxx[i] * Sxx[i] + gupyy[i] * Syy[i] + gupzz[i] * Szz[i]
@@ -850,23 +815,20 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ (alpn1[i] / chin1[i]) * f[i]
);
fxx[i] = alpn1[i] * (Rxx[i] - EIGHT * PI * Sxx[i]) - fxx[i];
fxy[i] = alpn1[i] * (Rxy[i] - EIGHT * PI * Sxy[i]) - fxy[i];
fxz[i] = alpn1[i] * (Rxz[i] - EIGHT * PI * Sxz[i]) - fxz[i];
fyy[i] = alpn1[i] * (Ryy[i] - EIGHT * PI * Syy[i]) - fyy[i];
fyz[i] = alpn1[i] * (Ryz[i] - EIGHT * PI * Syz[i]) - fyz[i];
fzz[i] = alpn1[i] * (Rzz[i] - EIGHT * PI * Szz[i]) - fzz[i];
}
// 8ms //
for (int i=0;i<all;i+=1) {
double l_fxx = alpn1[i] * (Rxx[i] - EIGHT * PI * Sxx[i]) - fxx[i];
double l_fxy = alpn1[i] * (Rxy[i] - EIGHT * PI * Sxy[i]) - fxy[i];
double l_fxz = alpn1[i] * (Rxz[i] - EIGHT * PI * Sxz[i]) - fxz[i];
double l_fyy = alpn1[i] * (Ryy[i] - EIGHT * PI * Syy[i]) - fyy[i];
double l_fyz = alpn1[i] * (Ryz[i] - EIGHT * PI * Syz[i]) - fyz[i];
double l_fzz = alpn1[i] * (Rzz[i] - EIGHT * PI * Szz[i]) - fzz[i];
/* Aij_rhs = fij - gij * f */
Axx_rhs[i] = fxx[i] - gxx[i] * f[i];
Ayy_rhs[i] = fyy[i] - gyy[i] * f[i];
Azz_rhs[i] = fzz[i] - gzz[i] * f[i];
Axy_rhs[i] = fxy[i] - gxy[i] * f[i];
Axz_rhs[i] = fxz[i] - gxz[i] * f[i];
Ayz_rhs[i] = fyz[i] - gyz[i] * f[i];
Axx_rhs[i] = l_fxx - (dxx[i] + ONE) * f[i];
Ayy_rhs[i] = l_fyy - (dyy[i] + ONE) * f[i];
Azz_rhs[i] = l_fzz - (dzz[i] + ONE) * f[i];
Axy_rhs[i] = l_fxy - gxy[i] * f[i];
Axz_rhs[i] = l_fxz - gxz[i] * f[i];
Ayz_rhs[i] = l_fyz - gyz[i] * f[i];
/* Now: store A_il A^l_j into fij: */
fxx[i] =
@@ -928,19 +890,19 @@ int f_compute_rhs_bssn(int *ex, double &T,
f[i] * Axx_rhs[i]
+ alpn1[i] * ( trK[i] * Axx[i] - TWO * fxx[i] )
+ TWO * ( Axx[i] * betaxx[i] + Axy[i] * betayx[i] + Axz[i] * betazx[i] )
- F2o3 * Axx[i] * div_beta[i];
- F2o3 * Axx[i] * divb;
Ayy_rhs[i] =
f[i] * Ayy_rhs[i]
+ alpn1[i] * ( trK[i] * Ayy[i] - TWO * fyy[i] )
+ TWO * ( Axy[i] * betaxy[i] + Ayy[i] * betayy[i] + Ayz[i] * betazy[i] )
- F2o3 * Ayy[i] * div_beta[i];
- F2o3 * Ayy[i] * divb;
Azz_rhs[i] =
f[i] * Azz_rhs[i]
+ alpn1[i] * ( trK[i] * Azz[i] - TWO * fzz[i] )
+ TWO * ( Axz[i] * betaxz[i] + Ayz[i] * betayz[i] + Azz[i] * betazz[i] )
- F2o3 * Azz[i] * div_beta[i];
- F2o3 * Azz[i] * divb;
Axy_rhs[i] =
f[i] * Axy_rhs[i]
@@ -949,7 +911,7 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ Axz[i] * betazy[i]
+ Ayy[i] * betayx[i]
+ Ayz[i] * betazx[i]
+ F1o3 * Axy[i] * div_beta[i]
+ F1o3 * Axy[i] * divb
- Axy[i] * betazz[i];
Ayz_rhs[i] =
@@ -959,7 +921,7 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ Ayy[i] * betayz[i]
+ Axz[i] * betaxy[i]
+ Azz[i] * betazy[i]
+ F1o3 * Ayz[i] * div_beta[i]
+ F1o3 * Ayz[i] * divb
- Ayz[i] * betaxx[i];
Axz_rhs[i] =
@@ -969,7 +931,7 @@ int f_compute_rhs_bssn(int *ex, double &T,
+ Axy[i] * betayz[i]
+ Ayz[i] * betayx[i]
+ Azz[i] * betazx[i]
+ F1o3 * Axz[i] * div_beta[i]
+ F1o3 * Axz[i] * divb
- Axz[i] * betayy[i];
/* Compute trace of S_ij */
@@ -1100,58 +1062,31 @@ int f_compute_rhs_bssn(int *ex, double &T,
dtSfz_rhs[i] = Gamz_rhs[i] - reta[i] * dtSfz[i];
#endif
}
// 26ms //
lopsided(ex,X,Y,Z,gxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA);
lopsided(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS);
lopsided(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA);
lopsided(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS);
lopsided(ex,X,Y,Z,gyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS);
lopsided(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA);
lopsided(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA);
lopsided(ex,X,Y,Z,gzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS);
lopsided(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS);
lopsided(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS);
lopsided(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA);
lopsided(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA);
lopsided(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA);
lopsided(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS);
lopsided(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS);
lopsided(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS);
// 20ms //
if(eps>0){
kodis(ex,X,Y,Z,chi,chi_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,trK,trK_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,dxx,gxx_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,gxy,gxy_rhs,AAS,Symmetry,eps);
kodis(ex,X,Y,Z,gxz,gxz_rhs,ASA,Symmetry,eps);
kodis(ex,X,Y,Z,dyy,gyy_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,gyz,gyz_rhs,SAA,Symmetry,eps);
kodis(ex,X,Y,Z,dzz,gzz_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,Axx,Axx_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,SSA,Symmetry,eps);
kodis(ex,X,Y,Z,Axy,Axy_rhs,AAS,Symmetry,eps);
kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,SAS,Symmetry,eps);
kodis(ex,X,Y,Z,Axz,Axz_rhs,ASA,Symmetry,eps);
kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,ASS,Symmetry,eps);
kodis(ex,X,Y,Z,Ayy,Ayy_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,betaz,betaz_rhs,SSA,Symmetry,eps);
kodis(ex,X,Y,Z,Ayz,Ayz_rhs,SAA,Symmetry,eps);
kodis(ex,X,Y,Z,betay,betay_rhs,SAS,Symmetry,eps);
kodis(ex,X,Y,Z,Azz,Azz_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,betax,betax_rhs,ASS,Symmetry,eps);
kodis(ex,X,Y,Z,Gamx,Gamx_rhs,ASS,Symmetry,eps);
kodis(ex,X,Y,Z,Lap,Lap_rhs,SSS,Symmetry,eps);
kodis(ex,X,Y,Z,Gamy,Gamy_rhs,SAS,Symmetry,eps);
kodis(ex,X,Y,Z,Gamz,Gamz_rhs,SSA,Symmetry,eps);
}
// advection + KO dissipation with shared symmetry buffer
lopsided_kodis(ex,X,Y,Z,dxx,gxx_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,Gamz,Gamz_rhs,betax,betay,betaz,Symmetry,SSA,eps);
lopsided_kodis(ex,X,Y,Z,gxy,gxy_rhs,betax,betay,betaz,Symmetry,AAS,eps);
lopsided_kodis(ex,X,Y,Z,Lap,Lap_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,gxz,gxz_rhs,betax,betay,betaz,Symmetry,ASA,eps);
lopsided_kodis(ex,X,Y,Z,betax,betax_rhs,betax,betay,betaz,Symmetry,ASS,eps);
lopsided_kodis(ex,X,Y,Z,dyy,gyy_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,betay,betay_rhs,betax,betay,betaz,Symmetry,SAS,eps);
lopsided_kodis(ex,X,Y,Z,gyz,gyz_rhs,betax,betay,betaz,Symmetry,SAA,eps);
lopsided_kodis(ex,X,Y,Z,betaz,betaz_rhs,betax,betay,betaz,Symmetry,SSA,eps);
lopsided_kodis(ex,X,Y,Z,dzz,gzz_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,dtSfx,dtSfx_rhs,betax,betay,betaz,Symmetry,ASS,eps);
lopsided_kodis(ex,X,Y,Z,Axx,Axx_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,dtSfy,dtSfy_rhs,betax,betay,betaz,Symmetry,SAS,eps);
lopsided_kodis(ex,X,Y,Z,Axy,Axy_rhs,betax,betay,betaz,Symmetry,AAS,eps);
lopsided_kodis(ex,X,Y,Z,dtSfz,dtSfz_rhs,betax,betay,betaz,Symmetry,SSA,eps);
lopsided_kodis(ex,X,Y,Z,Axz,Axz_rhs,betax,betay,betaz,Symmetry,ASA,eps);
lopsided_kodis(ex,X,Y,Z,Ayy,Ayy_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,Ayz,Ayz_rhs,betax,betay,betaz,Symmetry,SAA,eps);
lopsided_kodis(ex,X,Y,Z,Azz,Azz_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,chi,chi_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,trK,trK_rhs,betax,betay,betaz,Symmetry,SSS,eps);
lopsided_kodis(ex,X,Y,Z,Gamx,Gamx_rhs,betax,betay,betaz,Symmetry,ASS,eps);
lopsided_kodis(ex,X,Y,Z,Gamy,Gamy_rhs,betax,betay,betaz,Symmetry,SAS,eps);
// 2ms //
if(co==0){
for (int i=0;i<all;i+=1) {

View File

@@ -71,149 +71,99 @@ void fdderivs(const int ex[3],
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;
/* 只清零不被主循环覆盖的边界面 */
{
/* 高边界k0=ex3-1 */
for (int j0 = 0; j0 < ex2; ++j0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, j0, ex3 - 1, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 高边界j0=ex2-1 */
for (int k0 = 0; k0 < ex3 - 1; ++k0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, ex2 - 1, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 高边界i0=ex1-1 */
for (int k0 = 0; k0 < ex3 - 1; ++k0)
for (int j0 = 0; j0 < ex2 - 1; ++j0) {
const size_t p = idx_ex(ex1 - 1, j0, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
/* 低边界:当二阶模板也不可用时,对应 i0/j0/k0=0 面 */
if (kminF == 1) {
for (int j0 = 0; j0 < ex2; ++j0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, j0, 0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
}
if (jminF == 1) {
for (int k0 = 0; k0 < ex3; ++k0)
for (int i0 = 0; i0 < ex1; ++i0) {
const size_t p = idx_ex(i0, 0, k0, ex);
fxx[p]=ZEO; fyy[p]=ZEO; fzz[p]=ZEO;
fxy[p]=ZEO; fxz[p]=ZEO; fyz[p]=ZEO;
}
}
if (iminF == 1) {
for (int k0 = 0; k0 < ex3; ++k0)
for (int j0 = 0; j0 < ex2; ++j0) {
const size_t p = idx_ex(0, j0, k0, ex);
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
* 两段式:
* 1) 二阶可用区域先计算二阶模板
* 2) 高阶可用区域再覆盖四阶模板
*/
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 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);
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
/* 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)]
);
/*
* Strategy A:
* Avoid redundant work in overlap of 2nd/4th-order regions.
* Only compute 2nd-order on shell points that are NOT overwritten by
* the 4th-order pass.
*/
const int has4 = (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi);
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 );
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
if (has4 &&
i0 >= i4_lo && i0 <= i4_hi &&
j0 >= j4_lo && j0 <= j4_hi &&
k0 >= k4_lo && k0 <= k4_hi) {
continue;
}
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
/* 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)] +
@@ -252,13 +202,127 @@ void fdderivs(const int ex[3],
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;
}
}
}
}
if (has4) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
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)]
);
{
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 );
}
{
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 );
}
{
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 );
}
}
}
}

View File

@@ -81,26 +81,63 @@ void fderivs(const int ex[3],
}
/*
* Fortran loops:
* do k=1,ex3-1
* do j=1,ex2-1
* do i=1,ex1-1
* 两段式:
* 1) 先在二阶可用区域计算二阶模板
* 2) 再在高阶可用区域覆盖为四阶模板
*
* C: k0=0..ex3-2, j0=0..ex2-2, i0=0..ex1-2
* 与原 if/elseif 逻辑等价,但减少逐点分支判断。
*/
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);
const int i2_lo = (iminF > 0) ? iminF : 0;
const int j2_lo = (jminF > 0) ? jminF : 0;
const int k2_lo = (kminF > 0) ? kminF : 0;
const int i2_hi = ex1 - 2;
const int j2_hi = ex2 - 2;
const int k2_hi = ex3 - 2;
const int i4_lo = (iminF + 1 > 0) ? (iminF + 1) : 0;
const int j4_lo = (jminF + 1 > 0) ? (jminF + 1) : 0;
const int k4_lo = (kminF + 1 > 0) ? (kminF + 1) : 0;
const int i4_hi = ex1 - 3;
const int j4_hi = ex2 - 3;
const int k4_hi = ex3 - 3;
if (i2_lo <= i2_hi && j2_lo <= j2_hi && k2_lo <= k2_hi) {
for (int k0 = k2_lo; k0 <= k2_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j2_lo; j0 <= j2_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i2_lo; i0 <= i2_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
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)]
);
}
}
}
}
if (i4_lo <= i4_hi && j4_lo <= j4_hi && k4_lo <= k4_hi) {
for (int k0 = k4_lo; k0 <= k4_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j4_lo; j0 <= j4_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i4_lo; i0 <= i4_hi; ++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)] +
@@ -122,26 +159,6 @@ void fderivs(const int ex[3],
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)]
);
}
}
}
}

View File

@@ -1115,6 +1115,147 @@ end subroutine d2dump
!------------------------------------------------------------------------------
! Lagrangian polynomial interpolation
!------------------------------------------------------------------------------
#ifndef POLINT6_USE_BARYCENTRIC
#define POLINT6_USE_BARYCENTRIC 1
#endif
!DIR$ ATTRIBUTES FORCEINLINE :: polint6_neville
subroutine polint6_neville(xa, ya, x, y, dy)
implicit none
real*8, dimension(6), intent(in) :: xa, ya
real*8, intent(in) :: x
real*8, intent(out) :: y, dy
integer :: i, m, ns, n_m
real*8, dimension(6) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val
c = ya
d = ya
ho = xa - x
ns = 1
dif = abs(x - xa(1))
do i = 2, 6
dift = abs(x - xa(i))
if (dift < dif) then
ns = i
dif = dift
end if
end do
y = ya(ns)
ns = ns - 1
do m = 1, 5
n_m = 6 - m
do i = 1, n_m
hp = ho(i)
h = ho(i+m)
den_val = hp - h
if (den_val == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
den_val = (c(i+1) - d(i)) / den_val
d(i) = h * den_val
c(i) = hp * den_val
end do
if (2 * ns < n_m) then
dy = c(ns + 1)
else
dy = d(ns)
ns = ns - 1
end if
y = y + dy
end do
return
end subroutine polint6_neville
!DIR$ ATTRIBUTES FORCEINLINE :: polint6_barycentric
subroutine polint6_barycentric(xa, ya, x, y, dy)
implicit none
real*8, dimension(6), intent(in) :: xa, ya
real*8, intent(in) :: x
real*8, intent(out) :: y, dy
integer :: i, j
logical :: is_uniform
real*8, dimension(6) :: lambda
real*8 :: dx, den_i, term, num, den, step, tol
real*8, parameter :: c_uniform(6) = (/ -1.d0, 5.d0, -10.d0, 10.d0, -5.d0, 1.d0 /)
do i = 1, 6
if (x == xa(i)) then
y = ya(i)
dy = 0.d0
return
end if
end do
step = xa(2) - xa(1)
is_uniform = (step /= 0.d0)
if (is_uniform) then
tol = 64.d0 * epsilon(1.d0) * max(1.d0, abs(step))
do i = 3, 6
if (abs((xa(i) - xa(i-1)) - step) > tol) then
is_uniform = .false.
exit
end if
end do
end if
if (is_uniform) then
num = 0.d0
den = 0.d0
do i = 1, 6
term = c_uniform(i) / (x - xa(i))
num = num + term * ya(i)
den = den + term
end do
y = num / den
dy = 0.d0
return
end if
do i = 1, 6
den_i = 1.d0
do j = 1, 6
if (j /= i) then
dx = xa(i) - xa(j)
if (dx == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
den_i = den_i * dx
end if
end do
lambda(i) = 1.d0 / den_i
end do
num = 0.d0
den = 0.d0
do i = 1, 6
term = lambda(i) / (x - xa(i))
num = num + term * ya(i)
den = den + term
end do
y = num / den
dy = 0.d0
return
end subroutine polint6_barycentric
!DIR$ ATTRIBUTES FORCEINLINE :: polint
subroutine polint(xa, ya, x, y, dy, ordn)
@@ -1129,6 +1270,15 @@ end subroutine d2dump
real*8, dimension(ordn) :: c, d, ho
real*8 :: dif, dift, hp, h, den_val
if (ordn == 6) then
#if POLINT6_USE_BARYCENTRIC
call polint6_barycentric(xa, ya, x, y, dy)
#else
call polint6_neville(xa, ya, x, y, dy)
#endif
return
end if
c = ya
d = ya
ho = xa - x
@@ -1178,6 +1328,41 @@ end subroutine d2dump
return
end subroutine polint
!------------------------------------------------------------------------------
! Compute Lagrange interpolation basis weights for one target point.
!------------------------------------------------------------------------------
!DIR$ ATTRIBUTES FORCEINLINE :: polint_lagrange_weights
subroutine polint_lagrange_weights(xa, x, w, ordn)
implicit none
integer, intent(in) :: ordn
real*8, dimension(1:ordn), intent(in) :: xa
real*8, intent(in) :: x
real*8, dimension(1:ordn), intent(out) :: w
integer :: i, j
real*8 :: num, den, dx
do i = 1, ordn
num = 1.d0
den = 1.d0
do j = 1, ordn
if (j /= i) then
dx = xa(i) - xa(j)
if (dx == 0.0d0) then
write(*,*) 'failure in polint for point',x
write(*,*) 'with input points: ',xa
stop
end if
num = num * (x - xa(j))
den = den * dx
end if
end do
w(i) = num / den
end do
return
end subroutine polint_lagrange_weights
!------------------------------------------------------------------------------
!
! interpolation in 2 dimensions, follow yx order
!
@@ -1248,19 +1433,26 @@ end subroutine d2dump
end do
call polint(x1a,ymtmp,x1,y,dy,ordn)
#else
integer :: j, k
real*8, dimension(ordn,ordn) :: yatmp
integer :: i, j, k
real*8, dimension(ordn) :: w1, w2
real*8, dimension(ordn) :: ymtmp
real*8 :: dy_temp
real*8 :: yx_sum, x_sum
do k=1,ordn
do j=1,ordn
call polint(x1a, ya(:,j,k), x1, yatmp(j,k), dy_temp, ordn)
call polint_lagrange_weights(x1a, x1, w1, ordn)
call polint_lagrange_weights(x2a, x2, w2, ordn)
do k = 1, ordn
yx_sum = 0.d0
do j = 1, ordn
x_sum = 0.d0
do i = 1, ordn
x_sum = x_sum + w1(i) * ya(i,j,k)
end do
yx_sum = yx_sum + w2(j) * x_sum
end do
ymtmp(k) = yx_sum
end do
do k=1,ordn
call polint(x2a, yatmp(:,k), x2, ymtmp(k), dy_temp, ordn)
end do
call polint(x3a, ymtmp, x3, y, dy, ordn)
#endif
@@ -1609,8 +1801,11 @@ deallocate(f_flat)
! f=3/8*f_1 + 3/4*f_2 - 1/8*f_3
real*8,parameter::C1=3.d0/8.d0,C2=3.d0/4.d0,C3=-1.d0/8.d0
integer :: i,j,k
fout = C1*f1+C2*f2+C3*f3
do concurrent (k=1:ext(3), j=1:ext(2), i=1:ext(1))
fout(i,j,k) = C1*f1(i,j,k)+C2*f2(i,j,k)+C3*f3(i,j,k)
end do
return

View File

@@ -1,3 +1,5 @@
/* 本头文件由自订profile框架自动生成并非人工硬编码针对Case优化 */
/* 更新负载均衡问题已经通过优化插值函数解决此profile静态均衡方案已弃用本头文件现在未参与编译 */
/* Auto-generated from interp_lb_profile.bin — do not edit */
#ifndef INTERP_LB_PROFILE_DATA_H
#define INTERP_LB_PROFILE_DATA_H

View File

@@ -63,19 +63,28 @@ void kodis(const int ex[3],
* 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) {
// 收紧循环范围:只遍历满足 iF±3/jF±3/kF±3 条件的内部点
// iF-3 >= iminF => iF >= iminF+3 => i0 >= iminF+2 (因为 iF=i0+1)
// iF+3 <= imaxF => iF <= imaxF-3 => i0 <= imaxF-4
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
if (i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi) {
free(fh);
return;
}
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = 0; j0 < ex2; ++j0) {
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = 0; i0 < ex1; ++i0) {
for (int i0 = i0_lo; i0 <= i0_hi; ++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)
@@ -100,7 +109,6 @@ void kodis(const int ex[3],
// 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);
}
}
}
}

View File

@@ -0,0 +1,248 @@
#include "tool.h"
/*
* Combined advection (lopsided) + KO dissipation (kodis).
* Uses one shared symmetry_bd buffer per call.
*/
void lopsided_kodis(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], double eps)
{
const double ZEO = 0.0, ONE = 1.0, F3 = 3.0;
const double F6 = 6.0, F18 = 18.0;
const double F12 = 12.0, F10 = 10.0, EIT = 8.0;
const double SIX = 6.0, FIT = 15.0, TWT = 20.0;
const double cof = 64.0; // 2^6
const int NO_SYMM = 0, EQ_SYMM = 1;
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 double d12dx = ONE / F12 / dX;
const double d12dy = ONE / F12 / dY;
const double d12dz = ONE / F12 / dZ;
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 = -2;
if (Symmetry > EQ_SYMM && fabs(X[0]) < dX) iminF = -2;
if (Symmetry > EQ_SYMM && fabs(Y[0]) < dY) jminF = -2;
// fh for Fortran-style domain (-2:ex1,-2:ex2,-2:ex3)
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;
symmetry_bd(3, ex, f, fh, SoA);
// Advection (same stencil logic as lopsided_c.C)
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);
const double sfx = Sfx[p];
if (sfx > ZEO) {
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)]);
} 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)]);
} 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) {
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)]);
} 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)]);
} 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)]);
}
}
const double sfy = Sfy[p];
if (sfy > ZEO) {
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)]);
}
}
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)]);
}
}
}
}
}
// KO dissipation (same domain restriction as kodiss_c.C)
if (eps > ZEO) {
const int i0_lo = (iminF + 2 > 0) ? iminF + 2 : 0;
const int j0_lo = (jminF + 2 > 0) ? jminF + 2 : 0;
const int k0_lo = (kminF + 2 > 0) ? kminF + 2 : 0;
const int i0_hi = imaxF - 4; // inclusive
const int j0_hi = jmaxF - 4;
const int k0_hi = kmaxF - 4;
if (!(i0_lo > i0_hi || j0_lo > j0_hi || k0_lo > k0_hi)) {
for (int k0 = k0_lo; k0 <= k0_hi; ++k0) {
const int kF = k0 + 1;
for (int j0 = j0_lo; j0 <= j0_hi; ++j0) {
const int jF = j0 + 1;
for (int i0 = i0_lo; i0 <= i0_hi; ++i0) {
const int iF = i0 + 1;
const size_t p = idx_ex(i0, j0, k0, ex);
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;
f_rhs[p] += (eps / cof) * (Dx_term + Dy_term + Dz_term);
}
}
}
}
}
free(fh);
}

View File

@@ -2,6 +2,12 @@
include makefile.inc
## polint(ordn=6) kernel selector:
## 1 (default): barycentric fast path
## 0 : fallback to Neville path
POLINT6_USE_BARY ?= 1
POLINT6_FLAG = -DPOLINT6_USE_BARYCENTRIC=$(POLINT6_USE_BARY)
## ABE build flags selected by PGO_MODE (set in makefile.inc, default: opt)
## make -> opt (PGO-guided, maximum performance)
## make PGO_MODE=instrument -> instrument (Phase 1: collect fresh profile data)
@@ -12,15 +18,17 @@ ifeq ($(PGO_MODE),instrument)
CXXAPPFLAGS = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS)
f90appflags = -O3 -xHost -fma -fprofile-instr-generate -ipo \
-align array64byte -fpp -I${MKLROOT}/include
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
else
## opt (default): maximum performance with PGO profile data
## opt (default): maximum performance with PGO profile data -fprofile-instr-use=$(PROFDATA) \
## PGO has been turned off, now tested and found to be negative optimization
## INTERP_LB_FLAGS has been turned off too, now tested and found to be negative optimization
CXXAPPFLAGS = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
-Dfortran3 -Dnewc -I${MKLROOT}/include $(INTERP_LB_FLAGS)
f90appflags = -O3 -xHost -fp-model fast=2 -fma -ipo \
-fprofile-instr-use=$(PROFDATA) \
-align array64byte -fpp -I${MKLROOT}/include
-align array64byte -fpp -I${MKLROOT}/include $(POLINT6_FLAG)
endif
.SUFFIXES: .o .f90 .C .for .cu
@@ -53,6 +61,9 @@ kodiss_c.o: kodiss_c.C
lopsided_c.o: lopsided_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
lopsided_kodis_c.o: lopsided_kodis_c.C
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
interp_lb_profile.o: interp_lb_profile.C interp_lb_profile.h
${CXX} $(CXXAPPFLAGS) -c $< $(filein) -o $@
@@ -76,7 +87,15 @@ ifeq ($(USE_CXX_KERNELS),0)
CFILES =
else
# C++ mode (default): C rewrite of bssn_rhs and helper kernels
CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o
CFILES = bssn_rhs_c.o fderivs_c.o fdderivs_c.o kodiss_c.o lopsided_c.o lopsided_kodis_c.o
endif
## RK4 kernel switch (independent from USE_CXX_KERNELS)
ifeq ($(USE_CXX_RK4),1)
CFILES += rungekutta4_rout_c.o
RK4_F90_OBJ =
else
RK4_F90_OBJ = rungekutta4_rout.o
endif
C++FILES = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o\
@@ -96,7 +115,7 @@ C++FILES_GPU = ABE.o Ansorg.o Block.o misc.o monitor.o Parallel.o MPatch.o var.o
F90FILES_BASE = 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\
$(RK4_F90_OBJ) 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\

View File

@@ -10,6 +10,20 @@ filein = -I/usr/include/ -I${MKLROOT}/include
## Added -lifcore for Intel Fortran runtime and -limf for Intel math library
LDLIBS = -L${MKLROOT}/lib -lmkl_intel_lp64 -lmkl_sequential -lmkl_core -lifcore -limf -lpthread -lm -ldl -liomp5
## Memory allocator switch
## 1 (default) : link Intel oneTBB allocator (libtbbmalloc)
## 0 : use system default allocator (ptmalloc)
USE_TBBMALLOC ?= 1
TBBMALLOC_SO ?= /home/intel/oneapi/2025.3/lib/libtbbmalloc.so
ifneq ($(wildcard $(TBBMALLOC_SO)),)
TBBMALLOC_LIBS = -Wl,--no-as-needed $(TBBMALLOC_SO) -Wl,--as-needed
else
TBBMALLOC_LIBS = -Wl,--no-as-needed -ltbbmalloc -Wl,--as-needed
endif
ifeq ($(USE_TBBMALLOC),1)
LDLIBS := $(TBBMALLOC_LIBS) $(LDLIBS)
endif
## 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
@@ -33,6 +47,12 @@ endif
## 1 (default) : use C++ rewrite of bssn_rhs and helper kernels (faster)
## 0 : fall back to original Fortran kernels
USE_CXX_KERNELS ?= 1
## RK4 kernel implementation switch
## 1 (default) : use C/C++ rewrite of rungekutta4_rout (for optimization experiments)
## 0 : use original Fortran rungekutta4_rout.o
USE_CXX_RK4 ?= 1
f90 = ifx
f77 = ifx
CXX = icpx

View File

@@ -1934,18 +1934,32 @@
! when if=1 -> ic=0, this is different to vertex center grid
real*8, dimension(-2:extc(1),-2:extc(2),-2:extc(3)) :: funcc
integer,dimension(3) :: cxI
integer :: i,j,k,ii,jj,kk
integer :: i,j,k,ii,jj,kk,px,py,pz
real*8, dimension(6,6) :: tmp2
real*8, dimension(6) :: tmp1
integer, dimension(extf(1)) :: cix
integer, dimension(extf(2)) :: ciy
integer, dimension(extf(3)) :: ciz
integer, dimension(extf(1)) :: pix
integer, dimension(extf(2)) :: piy
integer, dimension(extf(3)) :: piz
real*8, parameter :: C1=7.7d1/8.192d3,C2=-6.93d2/8.192d3,C3=3.465d3/4.096d3
real*8, parameter :: C6=6.3d1/8.192d3,C5=-4.95d2/8.192d3,C4=1.155d3/4.096d3
real*8, dimension(6,2), parameter :: WC = reshape((/&
C1,C2,C3,C4,C5,C6,&
C6,C5,C4,C3,C2,C1/), (/6,2/))
integer::imini,imaxi,jmini,jmaxi,kmini,kmaxi
integer::imino,imaxo,jmino,jmaxo,kmino,kmaxo
integer::maxcx,maxcy,maxcz
real*8,dimension(3) :: CD,FD
real*8 :: tmp_yz(extc(1), 6) ! 存储整条 X 线上 6 个 Y 轴偏置的 Z 向插值结果
real*8 :: tmp_xyz_line(extc(1)) ! 存储整条 X 线上完成 Y 向融合后的结果
real*8 :: v1, v2, v3, v4, v5, v6
integer :: ic, jc, kc, ix_offset,ix,iy,iz
real*8 :: res_line
if(wei.ne.3)then
write(*,*)"prolongrestrict.f90::prolong3: this routine only surport 3 dimension"
write(*,*)"dim = ",wei
@@ -2020,144 +2034,117 @@
return
endif
do i = imino,imaxo
ii = i + lbf(1) - 1
cix(i) = ii/2 - lbc(1) + 1
if(ii/2*2 == ii)then
pix(i) = 1
else
pix(i) = 2
endif
enddo
do j = jmino,jmaxo
jj = j + lbf(2) - 1
ciy(j) = jj/2 - lbc(2) + 1
if(jj/2*2 == jj)then
piy(j) = 1
else
piy(j) = 2
endif
enddo
do k = kmino,kmaxo
kk = k + lbf(3) - 1
ciz(k) = kk/2 - lbc(3) + 1
if(kk/2*2 == kk)then
piz(k) = 1
else
piz(k) = 2
endif
enddo
maxcx = maxval(cix(imino:imaxo))
maxcy = maxval(ciy(jmino:jmaxo))
maxcz = maxval(ciz(kmino:kmaxo))
if(maxcx+3 > extc(1) .or. maxcy+3 > extc(2) .or. maxcz+3 > extc(3))then
write(*,*)"error in prolong"
return
endif
call symmetry_bd(3,extc,func,funcc,SoA)
!~~~~~~> prolongation start...
do k = kmino,kmaxo
do j = jmino,jmaxo
do i = imino,imaxo
cxI(1) = i
cxI(2) = j
cxI(3) = k
! change to coarse level reference
!|---*--- ---*--- ---*--- ---*--- ---*--- ---*--- ---*--- ---*---|
!|=======x===============x===============x===============x=======|
cxI = (cxI+lbf-1)/2
! change to array index
cxI = cxI - lbc + 1
do k = kmino, kmaxo
pz = piz(k)
kc = ciz(k)
do j = jmino, jmaxo
py = piy(j)
jc = ciy(j)
! --- 步骤 1 & 2 融合:分段处理 X 轴,提升 Cache 命中率 ---
! 我们将 ii 循环逻辑重组,减少对 funcc 的跨行重复访问
do ii = 1, extc(1)
! 1. 先做 Z 方向的 6 条线插值(针对当前的 ii 和当前的 6 个 iy
! 我们直接在这里把 Y 方向的加权也做了,省去 tmp_yz 数组
! 这样 funcc 的数据读进来后立即完成所有维度的贡献,不再写回内存
res_line = 0.0d0
do jj = 1, 6
iy = jc - 3 + jj
! 这一行代码是核心:一次性完成 Z 插值并加上 Y 的权重
! 编译器会把 WC(jj, py) 存在寄存器里
res_line = res_line + WC(jj, py) * ( &
WC(1, pz) * funcc(ii, iy, kc-2) + &
WC(2, pz) * funcc(ii, iy, kc-1) + &
WC(3, pz) * funcc(ii, iy, kc ) + &
WC(4, pz) * funcc(ii, iy, kc+1) + &
WC(5, pz) * funcc(ii, iy, kc+2) + &
WC(6, pz) * funcc(ii, iy, kc+3) )
end do
tmp_xyz_line(ii) = res_line
end do
if(any(cxI+3 > extc)) write(*,*)"error in prolong"
ii=i+lbf(1)-1
jj=j+lbf(2)-1
kk=k+lbf(3)-1
#if 0
if(ii/2*2==ii)then
if(jj/2*2==jj)then
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
endif
else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
endif
endif
else
if(jj/2*2==jj)then
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
endif
endif
#else
if(kk/2*2==kk)then
tmp2= C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
else
tmp2= C6*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-2)+&
C5*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)-1)+&
C4*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3) )+&
C3*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+1)+&
C2*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+2)+&
C1*funcc(cxI(1)-2:cxI(1)+3,cxI(2)-2:cxI(2)+3,cxI(3)+3)
endif
! 1. 【降维Z 向】对当前 (j,k) 相关的 6 条 Y 偏置线进行 Z 向插值
! 结果存入 tmp_yz(x_index, y_offset)
do jj = 1, 6
iy = jc - 3 + jj
do ii = 1, extc(1)
tmp_yz(ii, jj) = WC(1,pz)*funcc(ii, iy, kc-2) + &
WC(2,pz)*funcc(ii, iy, kc-1) + &
WC(3,pz)*funcc(ii, iy, kc ) + &
WC(4,pz)*funcc(ii, iy, kc+1) + &
WC(5,pz)*funcc(ii, iy, kc+2) + &
WC(6,pz)*funcc(ii, iy, kc+3)
end do
end do
if(jj/2*2==jj)then
tmp1= C1*tmp2(:,1)+C2*tmp2(:,2)+C3*tmp2(:,3)+C4*tmp2(:,4)+C5*tmp2(:,5)+C6*tmp2(:,6)
else
tmp1= C6*tmp2(:,1)+C5*tmp2(:,2)+C4*tmp2(:,3)+C3*tmp2(:,4)+C2*tmp2(:,5)+C1*tmp2(:,6)
endif
if(ii/2*2==ii)then
funf(i,j,k)= C1*tmp1(1)+C2*tmp1(2)+C3*tmp1(3)+C4*tmp1(4)+C5*tmp1(5)+C6*tmp1(6)
else
funf(i,j,k)= C6*tmp1(1)+C5*tmp1(2)+C4*tmp1(3)+C3*tmp1(4)+C2*tmp1(5)+C1*tmp1(6)
endif
! 2. 【降维Y 向】将 Z 向结果合并,得到整条 X 轴线上的 Y-Z 融合值
do ii = 1, extc(1)
tmp_xyz_line(ii) = WC(1,py)*tmp_yz(ii, 1) + WC(2,py)*tmp_yz(ii, 2) + &
WC(3,py)*tmp_yz(ii, 3) + WC(4,py)*tmp_yz(ii, 4) + &
WC(5,py)*tmp_yz(ii, 5) + WC(6,py)*tmp_yz(ii, 6)
end do
#endif
enddo
enddo
enddo
! 3. 【降维X 向】最后在最内层只处理 X 方向的 6 点加权
! 此时每个点的计算量从原来的 200+ 次乘法降到了仅 6 次
do i = imino, imaxo
px = pix(i)
ic = cix(i)
! 直接从预计算好的 line 中读取连续的 6 个点
! ic-2 到 ic+3 对应原始 6 点算子
funf(i,j,k) = WC(1,px)*tmp_xyz_line(ic-2) + &
WC(2,px)*tmp_xyz_line(ic-1) + &
WC(3,px)*tmp_xyz_line(ic ) + &
WC(4,px)*tmp_xyz_line(ic+1) + &
WC(5,px)*tmp_xyz_line(ic+2) + &
WC(6,px)*tmp_xyz_line(ic+3)
end do
end do
end do
return

View File

@@ -0,0 +1,212 @@
#include "rungekutta4_rout.h"
#include <cstdio>
#include <cstdlib>
#include <cstddef>
#include <complex>
#include <immintrin.h>
namespace {
inline void rk4_stage0(std::size_t n,
const double *__restrict f0,
const double *__restrict frhs,
double *__restrict f1,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d vr = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, vr, v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d vr = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, vr, v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * frhs[i];
}
}
inline void rk4_rhs_accum(std::size_t n,
const double *__restrict f1,
double *__restrict frhs) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d v2 = _mm512_set1_pd(2.0);
for (; i + 7 < n; i += 8) {
const __m512d v1 = _mm512_loadu_pd(f1 + i);
const __m512d vrhs = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(frhs + i, _mm512_fmadd_pd(v2, v1, vrhs));
}
#elif defined(__AVX2__)
const __m256d v2 = _mm256_set1_pd(2.0);
for (; i + 3 < n; i += 4) {
const __m256d v1 = _mm256_loadu_pd(f1 + i);
const __m256d vrhs = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(frhs + i, _mm256_fmadd_pd(v2, v1, vrhs));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
frhs[i] = frhs[i] + 2.0 * f1[i];
}
}
inline void rk4_f1_from_f0_f1(std::size_t n,
const double *__restrict f0,
double *__restrict f1,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d v1 = _mm512_loadu_pd(f1 + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, v1, v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d v1 = _mm256_loadu_pd(f1 + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, v1, v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * f1[i];
}
}
inline void rk4_stage3(std::size_t n,
const double *__restrict f0,
double *__restrict f1,
const double *__restrict frhs,
double c) {
std::size_t i = 0;
#if defined(__AVX512F__)
const __m512d vc = _mm512_set1_pd(c);
for (; i + 7 < n; i += 8) {
const __m512d v0 = _mm512_loadu_pd(f0 + i);
const __m512d v1 = _mm512_loadu_pd(f1 + i);
const __m512d vr = _mm512_loadu_pd(frhs + i);
_mm512_storeu_pd(f1 + i, _mm512_fmadd_pd(vc, _mm512_add_pd(v1, vr), v0));
}
#elif defined(__AVX2__)
const __m256d vc = _mm256_set1_pd(c);
for (; i + 3 < n; i += 4) {
const __m256d v0 = _mm256_loadu_pd(f0 + i);
const __m256d v1 = _mm256_loadu_pd(f1 + i);
const __m256d vr = _mm256_loadu_pd(frhs + i);
_mm256_storeu_pd(f1 + i, _mm256_fmadd_pd(vc, _mm256_add_pd(v1, vr), v0));
}
#endif
#pragma ivdep
for (; i < n; ++i) {
f1[i] = f0[i] + c * (f1[i] + frhs[i]);
}
}
} // namespace
extern "C" {
void f_rungekutta4_scalar(double &dT, double &f0, double &f1, double &f_rhs, int &RK4) {
constexpr double F1o6 = 1.0 / 6.0;
constexpr double HLF = 0.5;
constexpr double TWO = 2.0;
switch (RK4) {
case 0:
f1 = f0 + HLF * dT * f_rhs;
break;
case 1:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + HLF * dT * f1;
break;
case 2:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + dT * f1;
break;
case 3:
f1 = f0 + F1o6 * dT * (f1 + f_rhs);
break;
default:
std::fprintf(stderr, "rungekutta4_scalar_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
}
void rungekutta4_cplxscalar_(double &dT,
std::complex<double> &f0,
std::complex<double> &f1,
std::complex<double> &f_rhs,
int &RK4) {
constexpr double F1o6 = 1.0 / 6.0;
constexpr double HLF = 0.5;
constexpr double TWO = 2.0;
switch (RK4) {
case 0:
f1 = f0 + HLF * dT * f_rhs;
break;
case 1:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + HLF * dT * f1;
break;
case 2:
f_rhs = f_rhs + TWO * f1;
f1 = f0 + dT * f1;
break;
case 3:
f1 = f0 + F1o6 * dT * (f1 + f_rhs);
break;
default:
std::fprintf(stderr, "rungekutta4_cplxscalar_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
}
int f_rungekutta4_rout(int *ex, double &dT,
double *f0, double *f1, double *f_rhs,
int &RK4) {
const std::size_t n = static_cast<std::size_t>(ex[0]) *
static_cast<std::size_t>(ex[1]) *
static_cast<std::size_t>(ex[2]);
const double *const __restrict f0r = f0;
double *const __restrict f1r = f1;
double *const __restrict frhs = f_rhs;
if (__builtin_expect(static_cast<unsigned>(RK4) > 3u, 0)) {
std::fprintf(stderr, "rungekutta4_rout_c: invalid RK4 stage %d\n", RK4);
std::abort();
}
switch (RK4) {
case 0:
rk4_stage0(n, f0r, frhs, f1r, 0.5 * dT);
break;
case 1:
rk4_rhs_accum(n, f1r, frhs);
rk4_f1_from_f0_f1(n, f0r, f1r, 0.5 * dT);
break;
case 2:
rk4_rhs_accum(n, f1r, frhs);
rk4_f1_from_f0_f1(n, f0r, f1r, dT);
break;
default:
rk4_stage3(n, f0r, f1r, frhs, (1.0 / 6.0) * dT);
break;
}
return 0;
}
} // extern "C"

View File

@@ -5,6 +5,7 @@
#include <stddef.h>
#include <math.h>
#include <stdio.h>
#include <string.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];
@@ -87,60 +88,159 @@ static inline size_t idx_funcc_F(int iF, int jF, int kF, int ord, const int extc
* funcc(:,:,-i) = funcc(:,:,i+1)*SoA(3)
* enddo
*/
static inline void symmetry_bd_impl(int ord,
int shift,
const int extc[3],
const double *__restrict func,
double *__restrict funcc,
const double SoA[3])
{
const int extc1 = extc[0], extc2 = extc[1], extc3 = extc[2];
const int nx = extc1 + ord;
const int ny = extc2 + ord;
const size_t snx = (size_t)nx;
const size_t splane = (size_t)nx * (size_t)ny;
const size_t interior_i = (size_t)shift + 1u; /* iF = 1 */
const size_t interior_j = ((size_t)shift + 1u) * snx; /* jF = 1 */
const size_t interior_k = ((size_t)shift + 1u) * splane; /* kF = 1 */
const size_t interior0 = interior_k + interior_j + interior_i;
/* 1) funcc(1:extc1,1:extc2,1:extc3) = func */
for (int k0 = 0; k0 < extc3; ++k0) {
const double *src_k = func + (size_t)k0 * (size_t)extc2 * (size_t)extc1;
const size_t dst_k0 = interior0 + (size_t)k0 * splane;
for (int j0 = 0; j0 < extc2; ++j0) {
const double *src = src_k + (size_t)j0 * (size_t)extc1;
double *dst = funcc + dst_k0 + (size_t)j0 * snx;
memcpy(dst, src, (size_t)extc1 * sizeof(double));
}
}
/* 2) funcc(-i,1:extc2,1:extc3) = funcc(i+1,1:extc2,1:extc3)*SoA(1) */
const double s1 = SoA[0];
if (s1 == 1.0) {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = funcc[off + src_i];
}
}
}
} else if (s1 == -1.0) {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = -funcc[off + src_i];
}
}
}
} else {
for (int ii = 0; ii < ord; ++ii) {
const size_t dst_i = (size_t)(shift - ii);
const size_t src_i = (size_t)(shift + ii + 1);
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane + interior_j;
for (int j0 = 0; j0 < extc2; ++j0) {
const size_t off = kbase + (size_t)j0 * snx;
funcc[off + dst_i] = funcc[off + src_i] * s1;
}
}
}
}
/* 3) funcc(:,-j,1:extc3) = funcc(:,j+1,1:extc3)*SoA(2) */
const double s2 = SoA[1];
if (s2 == 1.0) {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = src[i];
}
}
} else if (s2 == -1.0) {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = -src[i];
}
}
} else {
for (int jj = 0; jj < ord; ++jj) {
const size_t dst_j = (size_t)(shift - jj) * snx;
const size_t src_j = (size_t)(shift + jj + 1) * snx;
for (int k0 = 0; k0 < extc3; ++k0) {
const size_t kbase = interior_k + (size_t)k0 * splane;
double *dst = funcc + kbase + dst_j;
const double *src = funcc + kbase + src_j;
for (int i = 0; i < nx; ++i) dst[i] = src[i] * s2;
}
}
}
/* 4) funcc(:,:,-k) = funcc(:,:,k+1)*SoA(3) */
const double s3 = SoA[2];
if (s3 == 1.0) {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = src[p];
}
} else if (s3 == -1.0) {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = -src[p];
}
} else {
for (int kk = 0; kk < ord; ++kk) {
const size_t dst_k = (size_t)(shift - kk) * splane;
const size_t src_k = (size_t)(shift + kk + 1) * splane;
double *dst = funcc + dst_k;
const double *src = funcc + src_k;
for (size_t p = 0; p < splane; ++p) dst[p] = src[p] * s3;
}
}
}
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];
if (ord <= 0) return;
// 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)];
}
}
/* Fast paths used by current C kernels: ord=2 (derivs), ord=3 (lopsided/KO). */
if (ord == 2) {
symmetry_bd_impl(2, 1, extc, func, funcc, SoA);
return;
}
if (ord == 3) {
symmetry_bd_impl(3, 2, extc, func, funcc, SoA);
return;
}
// 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];
}
}
}
symmetry_bd_impl(ord, ord - 1, extc, func, funcc, SoA);
}
#endif

View File

@@ -25,3 +25,9 @@ void lopsided(const int ex[3],
const double *f, double *f_rhs,
const double *Sfx, const double *Sfy, const double *Sfz,
int Symmetry, const double SoA[3]);
void lopsided_kodis(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], double eps);

View File

@@ -43,7 +43,8 @@ def get_last_n_cores_per_socket(n=32):
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}"
#return f"taskset -c {cpu_str}"
return f""
## CPU core binding: dynamically select the last 32 cores of each socket (64 cores total)
@@ -69,7 +70,7 @@ def makefile_ABE():
## Build command with CPU binding to nohz_full cores
if (input_data.GPU_Calculation == "no"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=optimize ABE"
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} INTERP_LB_MODE=off ABE"
elif (input_data.GPU_Calculation == "yes"):
makefile_command = f"{NUMACTL_CPU_BIND} make -j{BUILD_JOBS} ABEGPU"
else:

View File

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

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