From 94d3e79a8617f88dc0219cfdeedfa3147833719d Mon Sep 17 00:00:00 2001
From: Adrian Kummerlaender
Date: Mon, 24 Jun 2019 14:43:36 +0200
Subject: Initialize at openlb-1-3

---
 src/functors/lattice/superLocalAverage3D.hh | 123 ++++++++++++++++++++++++++++
 1 file changed, 123 insertions(+)
 create mode 100644 src/functors/lattice/superLocalAverage3D.hh

(limited to 'src/functors/lattice/superLocalAverage3D.hh')

diff --git a/src/functors/lattice/superLocalAverage3D.hh b/src/functors/lattice/superLocalAverage3D.hh
new file mode 100644
index 0000000..53b3a6b
--- /dev/null
+++ b/src/functors/lattice/superLocalAverage3D.hh
@@ -0,0 +1,123 @@
+/*  This file is part of the OpenLB library
+ *
+ *  Copyright (C) 2018 Adrian Kummerlaender
+ *  E-mail contact: info@openlb.net
+ *  The most recent release of OpenLB can be downloaded at
+ *  <http://www.openlb.net/>
+ *
+ *  This program is free software; you can redistribute it and/or
+ *  modify it under the terms of the GNU General Public License
+ *  as published by the Free Software Foundation; either version 2
+ *  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 General Public License for more details.
+ *
+ *  You should have received a copy of the GNU General Public
+ *  License along with this program; if not, write to the Free
+ *  Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
+ *  Boston, MA  02110-1301, USA.
+*/
+
+#ifndef SUPER_LOCAL_AVERAGE_3D_HH
+#define SUPER_LOCAL_AVERAGE_3D_HH
+
+#include "superLocalAverage3D.h"
+#include "blockLocalAverage3D.h"
+#include "indicator/superIndicatorF3D.h"
+
+namespace olb {
+
+
+template<typename T, typename W>
+SuperLocalAverage3D<T,W>::SuperLocalAverage3D(
+  FunctorPtr<SuperF3D<T>>&&          f,
+  FunctorPtr<SuperIndicatorF3D<T>>&& indicatorF,
+  T radius)
+  : SuperF3D<T,W>(f->getSuperStructure(), f->getTargetDim()),
+    _f(std::move(f)),
+    _indicatorF(std::move(indicatorF)),
+    _radius(radius)
+{
+  this->getName() = "LocalAverage(" + _f->getName() + ")";
+
+  LoadBalancer<T>& load = _f->getSuperStructure().getLoadBalancer();
+
+  if ( _f->getBlockFSize()          == load.size() &&
+       _indicatorF->getBlockFSize() == load.size() ) {
+    for (int iC = 0; iC < load.size(); ++iC) {
+      this->_blockF.emplace_back(
+        new BlockLocalAverage3D<T,W>(_f->getBlockF(iC),
+                                     _indicatorF->getBlockIndicatorF(iC),
+                                     _radius)
+      );
+    }
+  }
+}
+
+template<typename T, typename W>
+bool SuperLocalAverage3D<T,W>::operator() (W output[], const int input[])
+{
+  const auto& geometry = this->getSuperStructure().getCuboidGeometry();
+  const auto& load     = this->getSuperStructure().getLoadBalancer();
+
+  for (int i = 0; i < this->getTargetDim(); ++i) {
+    output[i] = 0.;
+  }
+
+  if (!_indicatorF(input)) {
+    return true;
+  }
+
+  T centerOfSphere[3];
+  geometry.getPhysR(centerOfSphere, input);
+  IndicatorSphere3D<T> analyticalSphere(centerOfSphere, _radius);
+  SuperIndicatorFfromIndicatorF3D<T> latticeSphere(
+    analyticalSphere,
+    _indicatorF->getSuperGeometry());
+
+  std::size_t voxels(0);
+  int inputTmp[4];
+
+  for (int iC = 0; iC < load.size(); ++iC) {
+    inputTmp[0] = load.glob(iC);
+    const auto& cuboid = geometry.get(inputTmp[0]);
+
+    for (inputTmp[1] = 0; inputTmp[1] < cuboid.getNx(); ++inputTmp[1]) {
+      for (inputTmp[2] = 0; inputTmp[2] < cuboid.getNy(); ++inputTmp[2]) {
+        for (inputTmp[3] = 0; inputTmp[3] < cuboid.getNz(); ++inputTmp[3]) {
+          if (latticeSphere(inputTmp) && _indicatorF(inputTmp)) {
+            T outputTmp[_f->getTargetDim()];
+            _f(outputTmp, inputTmp);
+            for (int i = 0; i < this->getTargetDim(); ++i) {
+              output[i] += outputTmp[i];
+            }
+            voxels += 1;
+          }
+        }
+      }
+    }
+  }
+
+#ifdef PARALLEL_MODE_MPI
+  singleton::mpi().reduceAndBcast(voxels, MPI_SUM);
+#endif
+
+  if (voxels > 0) {
+    for (int i = 0; i < this->getTargetDim(); ++i) {
+#ifdef PARALLEL_MODE_MPI
+      singleton::mpi().reduceAndBcast(output[i], MPI_SUM);
+#endif
+      output[i] /= voxels;
+    }
+  }
+
+  return true;
+}
+
+
+}
+
+#endif
-- 
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