diff --git a/examples/adhesion.py b/examples/adhesion.py
index f2ea9cf..4c84543 100644
--- a/examples/adhesion.py
+++ b/examples/adhesion.py
@@ -1,123 +1,117 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import matplotlib.pyplot as plt
 import numpy as np
 import argparse
 
 
 class AdhesionPython(tm.Functional):
     """
     Functional class that extends a C++ class and implements the virtual
     methods
     """
     def __init__(self, rho, gamma):
         tm.Functional.__init__(self)
         self.rho = rho
         self.gamma = gamma
 
     def computeF(self, gap, pressure):
         return -self.gamma * np.sum(np.exp(-gap / self.rho))
 
     def computeGradF(self, gap, gradient):
         gradient += self.gamma * np.exp(-gap / self.rho) / self.rho
 
 
 parser = argparse.ArgumentParser()
 parser.add_argument('--local-functional', dest="py_adh", action="store_true",
                     help="use the adhesion functional written in python")
 
 args = parser.parse_args()
 
-# Initialize threads and fftw
-tm.initialize()
-
 # Surface size
 n = 1024
 
 # Surface generator
 sg = tm.SurfaceGeneratorFilter2D()
 sg.setSizes([n, n])
 sg.setRandomSeed(0)
 
 # Spectrum
 spectrum = tm.Isopowerlaw2D()
 sg.setFilter(spectrum)
 
 # Parameters
 spectrum.q0 = 16
 spectrum.q1 = 16
 spectrum.q2 = 64
 spectrum.hurst = 0.8
 
 # Generating surface
 surface = sg.buildSurface()
 # surface /= tm.SurfaceStatistics.computeSpectralRMSSlope(surface)
 surface /= n
 # print(spectrum.rmsSlopes())
 # print(tm.SurfaceStatistics.computeRMSSlope(surface))
 
 plt.imshow(surface)
 
 # Creating model
 model = tm.ModelFactory.createModel(tm.model_type_basic_2d, [1., 1.], [n, n])
 
 # Solver
 solver = tm.PolonskyKeerRey(model, surface, 1e-12,
                             tm.PolonskyKeerRey.gap,
                             tm.PolonskyKeerRey.gap)
 adhesion_params = {
   "rho": 2e-3,
   "surface_energy": 2e-5
 }
 
 # Use the python derived from C++ functional class
 if args.py_adh:
     adhesion = AdhesionPython(adhesion_params["rho"],
                               adhesion_params["surface_energy"])
 # Use the C++ class
 else:
     adhesion = tm.ExponentialAdhesionFunctional(surface)
     adhesion.setParameters(adhesion_params)
 
 solver.addFunctionalTerm(adhesion)
 
 # Solve for target pressure
 g_target = 5e-2
 solver.solve(g_target)
 
 tractions = model.getTraction()
 
 plt.figure()
 plt.imshow(tractions)
 plt.colorbar()
 
 plt.figure()
 zones = np.zeros_like(tractions)
 tol = 1e-6
 zones[tractions > tol] = 1
 zones[tractions < -tol] = -1
 plt.imshow(zones, cmap='Greys')
 
-# Cleanup threads
-tm.finalize()
-
 plt.show()
diff --git a/examples/plasticity.py b/examples/plasticity.py
index 2738890..25dbc0d 100644
--- a/examples/plasticity.py
+++ b/examples/plasticity.py
@@ -1,74 +1,72 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import numpy as np
 import tamaas as tm
 
 from tamaas.dumpers import UVWGroupDumper as Dumper
 from tamaas.nonlinear_solvers import DFSANESolver as Solver
 
-tm.initialize(2)
-
 # Definition of modeled domain
 model_type = tm.model_type.volume_2d
 discretization = [32, 51, 51]
 flat_domain = [1, 1]
 system_size = [0.5] + flat_domain
 
 # Creation of model
 model = tm.ModelFactory.createModel(model_type,
                                     system_size,
                                     discretization)
 
 model.E = 1.
 model.nu = 0.3
 
 # Setup for plasticity
 residual = tm.ModelFactory.createResidual(model,
                                           sigma_y=0.1 * model.E,
                                           hardening=0.01 * model.E)
 epsolver = Solver(residual, model)
 
 # Setup for contact
 x = np.linspace(0, system_size[1], discretization[1], endpoint=False)
 y = np.linspace(0, system_size[2], discretization[2], endpoint=False)
 xx, yy = np.meshgrid(x, y, indexing='ij')
 
 R = 0.2
 surface = -((xx - flat_domain[0] / 2)**2 +
             (yy - flat_domain[1] / 2)**2) / (2 * R)
 
 csolver = tm.PolonskyKeerRey(model, surface, 1e-12,
                              tm.PolonskyKeerRey.pressure,
                              tm.PolonskyKeerRey.pressure)
 
 # EPIC setup
 epic = tm.EPICSolver(csolver, epsolver, 1e-7)
 
 # Dumper
 dumper_helper = Dumper('hertz', 'displacement', 'stress', 'plastic_strain')
 model.addDumper(dumper_helper)
 
 loads = np.linspace(0.001, 0.005, 3)
 
 for i, load in enumerate(loads):
     epic.acceleratedSolve(load)
     model.dump()
     print("---> Solved load step {}/{}".format(i+1, len(loads)))
diff --git a/examples/rough_contact.py b/examples/rough_contact.py
index 6afc382..e6f6329 100644
--- a/examples/rough_contact.py
+++ b/examples/rough_contact.py
@@ -1,74 +1,70 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import matplotlib.pyplot as plt
 
 # Initialize threads and fftw
-tm.initialize()
 tm.set_log_level(tm.LogLevel.info)  # Show progression of solver
 
 # Surface size
 n = 512
 
 # Surface generator
 sg = tm.SurfaceGeneratorFilter2D()
 sg.setSizes([n, n])
 sg.random_seed = 0
 
 # Spectrum
 spectrum = tm.Isopowerlaw2D()
 sg.setFilter(spectrum)
 
 # Parameters
 spectrum.q0 = 16
 spectrum.q1 = 16
 spectrum.q2 = 64
 spectrum.hurst = 0.8
 
 # Generating surface
 surface = sg.buildSurface()
 # surface /= tm.SurfaceStatistics.computeSpectralRMSSlope(surface)
 surface /= n
 # print(spectrum.rmsSlopes())
 # print(tm.SurfaceStatistics.computeRMSSlope(surface))
 
 plt.imshow(surface)
 
 # Creating model
 model = tm.ModelFactory.createModel(tm.model_type_basic_2d, [1., 1.], [n, n])
 
 # Solver
 solver = tm.PolonskyKeerRey(model, surface, 1e-12,
                             tm.PolonskyKeerRey.pressure,
                             tm.PolonskyKeerRey.pressure)
 
 # Solve for target pressure
 p_target = 0.1
 solver.solve(p_target)
 
 plt.figure()
 plt.imshow(model.getTraction())
 print(model.getTraction().mean())
 
-# Cleanup threads
-tm.finalize()
-
 plt.show()
diff --git a/examples/saturated.py b/examples/saturated.py
index c31dcc8..158203f 100644
--- a/examples/saturated.py
+++ b/examples/saturated.py
@@ -1,67 +1,65 @@
 # -*- coding: utf-8 -*-
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import tamaas as tm
 import numpy as np
 import matplotlib.pyplot as plt
 
-tm.initialize()
 grid_size = 256
 load = 1.6
 p_sat = 100
 
 iso = tm.Isopowerlaw2D()
 iso.q0 = 4
 iso.q1 = 4
 iso.q2 = 16
 iso.hurst = 0.8
 
 sg = tm.SurfaceGeneratorFilter2D()
 sg.random_seed = 2
 sg.setSizes([grid_size, grid_size])
 sg.setSpectrum(iso)
 surface = sg.buildSurface()
 surface -= np.max(surface)
 
 model = tm.ModelFactory.createModel(tm.model_type.basic_2d,
                                     [1., 1.], [grid_size, grid_size])
 model.E = 1.
 model.nu = 0
 esolver = tm.PolonskyKeerRey(model, surface, 1e-12,
                              tm.PolonskyKeerRey.pressure,
                              tm.PolonskyKeerRey.pressure)
 
 esolver.solve(load)
 
 elastic_tractions = model['traction'].copy()
 plt.imshow(elastic_tractions)
 plt.colorbar()
 
 model['traction'][:] = 0.
 solver = tm.KatoSaturated(model, surface, 1e-12, p_sat)
 solver.setDumpFrequency(1)
 solver.setMaxIterations(200)
 solver.solve(load)
 
 plt.figure()
 plt.imshow(model['traction'])
 plt.colorbar()
 plt.show()
-tm.finalize()
diff --git a/examples/statistics.py b/examples/statistics.py
index c6d296d..e1e37c1 100644
--- a/examples/statistics.py
+++ b/examples/statistics.py
@@ -1,87 +1,86 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import os
 
 import numpy as np
 import matplotlib.pyplot as plt
 import tamaas as tm
 
 from matplotlib.colors import LogNorm
 
 # Initialize threads and fftw
-tm.initialize()
 tm.set_log_level(tm.LogLevel.info)  # Show progression of solver
 
 # Surface size
 n = 512
 
 # Surface generator
 sg = tm.SurfaceGeneratorFilter2D()
 sg.setSizes([n, n])
 sg.random_seed = 0
 
 # Spectrum
 spectrum = tm.Isopowerlaw2D()
 sg.setFilter(spectrum)
 
 # Parameters
 spectrum.q0 = 16
 spectrum.q1 = 16
 spectrum.q2 = 64
 spectrum.hurst = 0.8
 
 # Generating surface
 surface = sg.buildSurface()
 
 # Computing PSD and shifting for plot
 psd = tm.Statistics2D.computePowerSpectrum(surface)
 psd = np.fft.fftshift(psd, axes=0)
 
 plt.imshow(psd.real, norm=LogNorm())
 plt.gca().set_title('Power Spectrum Density')
 plt.gcf().tight_layout()
 
 # Computing autocorrelation and shifting for plot
 acf = tm.Statistics2D.computeAutocorrelation(surface)
 acf = np.fft.fftshift(acf)
 
 plt.figure()
 plt.imshow(acf)
 plt.gca().set_title('Autocorrelation')
 plt.gcf().tight_layout()
 plt.show()
 
 # Write the rough surface in paraview's VTK format
 try:
     import uvw
     try:
         os.mkdir('paraview')
     except FileExistsError:
         pass
     x = np.linspace(0, 1, n, endpoint=True)
     y = x.copy()
 
     with uvw.RectilinearGrid(os.path.join('paraview', 'surface.vtr'),
                              (x, y)) as grid:
         grid.addPointData(uvw.DataArray(surface, range(2), 'surface'))
 except ImportError:
     print("uvw not installed, will not write VTK file")
     pass
diff --git a/examples/stresses.py b/examples/stresses.py
index 0a92298..c689318 100644
--- a/examples/stresses.py
+++ b/examples/stresses.py
@@ -1,96 +1,92 @@
 #!/usr/bin/env python3
 # @file
 # @section LICENSE
 #
 # Copyright (©) 2016-2020 EPFL (École Polytechnique Fédérale de Lausanne),
 # Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU Affero General Public License as published
 # by the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 #
 # This program is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU Affero General Public License for more details.
 #
 # You should have received a copy of the GNU Affero General Public License
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 import numpy as np
 import tamaas as tm
 import argparse
 
 from tamaas.dumpers import UVWDumper
 
 parser = argparse.ArgumentParser(
     description="Hertzian tractios applied on elastic half-space")
 parser.add_argument("radius", type=float, help="Radius of sphere")
 parser.add_argument("load", type=float, help="Applied normal force")
 parser.add_argument("name", help="Output file name")
 
 args = parser.parse_args()
 
-tm.initialize()
-
 # Definition of modeled domain
 model_type = tm.model_type.volume_2d
 discretization = [127, 127, 127]
 system_size = [1., 1., 1.]
 
 # Material contants
 E = 1.                # Young's modulus
 nu = 0.3              # Poisson's ratio
 E_star = E/(1-nu**2)  # Hertz modulus
 
 # Creation of model
 model = tm.ModelFactory.createModel(model_type,
                                     system_size,
                                     discretization)
 
 model.E = E
 model.nu = nu
 
 # Setup for integral operators
 residual = tm.ModelFactory.createResidual(model, 0, 0)
 
 # Coordinates
 x = np.linspace(0, system_size[1], discretization[1], endpoint=False)
 y = np.linspace(0, system_size[2], discretization[2], endpoint=False)
 x, y = np.meshgrid(x, y, indexing='ij')
 
 center = [0.5, 0.5]
 r = np.sqrt((x-center[0])**2 + (y-center[1])**2)
 
 # Sphere
 R = args.radius
 P = args.load
 
 # Contact area
 a = (3*P*R/(4*E_star))**(1/3)
 p_0 = 3 * P / (2 * np.pi * a**2)
 
 # Pressure definition
 traction = model.getTraction()
 traction[r < a, 2] = p_0 * np.sqrt(1 - (r[r < a] / a)**2)
 
 # Array references
 displacement = model.getDisplacement()
 stress = residual.getStress()
 gradient = residual.getVector()
 
 # Applying operator
 boussinesq = model.getIntegralOperator("boussinesq")
 boussinesq_gradient = model.getIntegralOperator("boussinesq_gradient")
 boussinesq.apply(traction, displacement)
 boussinesq_gradient.apply(traction, gradient)
 model.applyElasticity(stress, gradient)
 
 # Dumper
 dumper_helper = UVWDumper(args.name, 'stress')
 model.addDumper(dumper_helper)
 model.dump()
 print("Done")
-
-tm.finalize()