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post_processing_projectors.py
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import numpy as np
results_folder = 'results/'
problems = ['h1_projector_3d', 'hcurl_projector_3d', 'hdiv_projector_3d']
ncells = [64,96,128,160,192,224]
degrees = [2,3,4,5]
number_of_mpi_procs = [1*32,2*32,4*32,8*32,16*32,32*32,64*32,128*32]
number_of_threads = 1
timmings_assembly = np.zeros((len(problems), len(ncells),len(degrees), len(number_of_mpi_procs)))
timmings_solver = np.zeros((len(problems), len(ncells),len(degrees), len(number_of_mpi_procs)))
scaling_assembly = timmings_assembly.copy()
scaling_solver = timmings_solver.copy()
for i1,p in enumerate(problems):
for i3,nc in enumerate(ncells):
for i4,d in enumerate(degrees):
for i5, mpi_p in enumerate(number_of_mpi_procs):
names = (p,) + (nc,)*3 +(d,)*3 + (mpi_p,)
filename = '_'.join([str(i) for i in names])
try:
T = np.load(results_folder+filename+'.npy', allow_pickle=True)
T = T.item()
timmings_assembly[i1,i3,i4,i5] = T['matrix_assembly']
timmings_solver [i1,i3,i4,i5] = T['solver']
except:
timmings_assembly[i1,i3,i4,i5] = np.nan
timmings_solver [i1,i3,i4,i5] = np.nan
k = [j for j in range(len(number_of_mpi_procs)) if not np.isnan(timmings_assembly[i1,i3,i4,j])] + [0]
scaling_assembly[i1,i3,i4,:] = timmings_assembly[i1,i3,i4,:]/timmings_assembly[i1,i3,i4,k[0]]
scaling_solver [i1,i3,i4,:] = timmings_solver [i1,i3,i4,:]/timmings_solver [i1,i3,i4,k[0]]
from tabulate import tabulate
headers = [""] + [str(np) for np in number_of_mpi_procs]
for i1,p in enumerate(problems):
if all(np.isnan(v) for v in timmings_solver[i1].flatten()):continue
print("="*45,"Timings of the kronecker solver of {}".format(p), "="*45)
T = np.around(timmings_solver[i1], decimals=5)
newT = []
for i2,nc in enumerate(ncells):
for i3,d in enumerate(degrees):
newT.append(["nc = {} ** 3 , p = {}".format(nc,d)] + T[i2,i3].tolist())
newT.append([" "]*len(T[0]))
print(tabulate(newT, headers=headers, tablefmt="grid"))
print("\n")