/// <summary>
/// Computes refinement and coarsening lists
/// (inputs for <see cref="GridData.Adapt(IEnumerable{int}, IEnumerable{int[]}, out GridCorrelation)"/>),
/// based on the max refinement level provided by the calling solver. This method is fully parallized.
/// </summary>
/// <param name="currentGrid">
/// </param>
/// <param name="cellsToRefine">
/// Output, local indices of cells which should be refined.
/// </param>
/// <param name="cellsToCoarsen">
/// Output, clusters of cells (identified by local cell indices) which can be combined into coarser cells.
/// </param>
/// <param name="CellsMaxRefineLevel">
/// All cells, sorted in CellMask with their desired maximum level of refinement. Due to its nature as a list it is possible to define multiple different mask.
/// ATTENTION: If to many CellMasks are defined the refinement algorithm might be slow.
/// </param>
/// <returns>
/// True if any refinement or coarsening of the current grid should be performed; otherwise false.
/// </returns>
public static bool ComputeGridChange(GridData currentGrid, CellMask CellsNotOKToCoarsen, List <Tuple <int, BitArray> > CellsMaxRefineLevel, out List <int> cellsToRefine, out List <int[]> cellsToCoarsen)
{
int[][] globalCellNeigbourship = GetGlobalCellNeigbourship(currentGrid);
int[] CellsWithMaxRefineLevel = GetAllCellsWithMaxRefineLevel(currentGrid, CellsMaxRefineLevel);
int[] levelIndicator = GetGlobalLevelIndicator(currentGrid, CellsWithMaxRefineLevel, globalCellNeigbourship);
int[] globalDesiredLevel = GetGlobalDesiredLevel(currentGrid, levelIndicator, globalCellNeigbourship);
cellsToRefine = GetCellsToRefine(currentGrid, globalDesiredLevel);
BitArray oK2Coarsen = GetCellsOk2Coarsen(currentGrid, CellsNotOKToCoarsen, globalDesiredLevel, globalCellNeigbourship);
int[][] coarseningClusters = FindCoarseningClusters(oK2Coarsen, currentGrid);
cellsToCoarsen = GetCoarseningCells(currentGrid, coarseningClusters);
bool anyChangeInGrid = (cellsToRefine.Count() == 0 && cellsToCoarsen.Count() == 0) ? false : true;
bool[] exchangeGridChange = anyChangeInGrid.MPIGatherO(0);
exchangeGridChange = exchangeGridChange.MPIBroadcast(0);
for (int m = 0; m < exchangeGridChange.Length; m++)
{
if (exchangeGridChange[m])
{
anyChangeInGrid = true;
}
}
return(anyChangeInGrid);
}
/// <summary>
/// Gets all cells to refine and writes them to a int-list.
/// </summary>
/// <param name="currentGrid">
/// </param>
/// <param name="cellsNotOK2Coarsen">
/// A CellMask of all cells which should never be coarsend, e.g. all cut cells.
/// </param>
/// <param name="globalDesiredLevel">
/// The desired level of all global cells.
/// </param>
/// <param name="globalCellNeigbourship">
/// Jaggerd int-array where the first index refers to the current cell and the second one to the neighbour cells.
/// </param>
private static BitArray GetCellsOk2Coarsen(GridData currentGrid, CellMask cellsNotOK2Coarsen, int[] globalDesiredLevel, int[][] globalCellNeigbourship)
{
int oldJ = currentGrid.Cells.NoOfLocalUpdatedCells;
BitArray oK2Coarsen = new BitArray(oldJ);
Partitioning cellPartitioning = currentGrid.CellPartitioning;
int i0 = cellPartitioning.i0;
int myRank = currentGrid.MpiRank;
int[][] cellNeighbours = currentGrid.Cells.CellNeighbours;
for (int globalCellIndex = i0; globalCellIndex < i0 + oldJ; globalCellIndex++)
{
int localCellIndex = globalCellIndex - i0;
int ActualLevel_j = currentGrid.Cells.GetCell(localCellIndex).RefinementLevel;
if (ActualLevel_j > globalDesiredLevel[globalCellIndex] &&
globalDesiredLevel[globalCellIndex] >= globalCellNeigbourship[globalCellIndex].Select(neighbourIndex => globalDesiredLevel[neighbourIndex]).Max() - 1)
{
oK2Coarsen[localCellIndex] = true;
}
}
if (cellsNotOK2Coarsen != null)
{
foreach (int j in cellsNotOK2Coarsen.ItemEnum)
{
oK2Coarsen[j] = false;
}
}
return(oK2Coarsen);
}
/// <summary>
/// ctor
/// </summary>
/// <param name="volMask">
/// volume mask for those cells which should be contained in the subgrid
/// </param>
public SubGrid(CellMask volMask)
{
MPICollectiveWatchDog.Watch();
if (volMask.MaskType != MaskType.Logical)
{
throw new ArgumentException();
}
this.m_VolumeMask = volMask;
m_GridData = volMask.GridData;
}
/// <summary>
/// Computes refinement and coarsening lists
/// (inputs for <see cref="GridData.Adapt(IEnumerable{int}, IEnumerable{int[]}, out GridCorrelation)"/>),
/// based on a refinement indicator. If the calculation should work parallel it is recommend to use <see cref="ComputeGridChange(GridData, List{Tuple{int, CellMask}}, out List{int}, out List{int[]})"/>.
/// </summary>
/// <param name="currentGrid">
/// Current grid.
/// </param>
/// <param name="levelIndicator">
/// Mapping from (local cell index, current refinement level) to desired refinement level for the respective cell,
/// see <see cref="Cell.RefinementLevel"/>.
/// </param>
/// <param name="cellsToRefine">
/// Output, local indices of cells which should be refined.
/// </param>
/// <param name="cellsToCoarsen">
/// Output, clusters of cells (identified by local cell indices) which can be combined into coarser cells.
/// </param>
/// <param name="CutCells">
/// If not null, a mask of cells in which coarsening is forbidden (usually cut-cells);
/// </param>
/// <returns>
/// True if any refinement or coarsening of the current grid should be performed; otherwise false.
/// </returns>
public static bool ComputeGridChange(GridData currentGrid, CellMask CutCells, Func <int, int, int> levelIndicator, out List <int> cellsToRefine, out List <int[]> cellsToCoarsen)
{
int[][] globalCellNeigbourship = GetGlobalCellNeigbourship(currentGrid);
int[] globalDesiredLevel = GetGlobalDesiredLevel(currentGrid, levelIndicator, globalCellNeigbourship);
cellsToRefine = GetCellsToRefine(currentGrid, globalDesiredLevel);
BitArray oK2Coarsen = GetCellsOk2Coarsen(currentGrid, CutCells, globalDesiredLevel, globalCellNeigbourship);
int[][] coarseningClusters = FindCoarseningClusters(oK2Coarsen, currentGrid);
cellsToCoarsen = GetCoarseningCells(currentGrid, coarseningClusters);
bool anyChangeInGrid = (cellsToRefine.Count() == 0 && cellsToCoarsen.Count() == 0) ? false : true;
return(anyChangeInGrid);
}
/// <summary>
/// Computes <see cref="SubgridIndex2LocalCellIndex"/>
/// </summary>
/// <returns></returns>
private int[] ComputeSubgridIndex2LocalCellIndex()
{
MPICollectiveWatchDog.Watch();
CellMask msk = m_VolumeMask;
int[] subgridIndex2LocalCellIndex = new int[msk.NoOfItemsLocally_WithExternal];
int jj = 0;
foreach (Chunk c in msk.GetEnumerableWithExternal())
{
for (int k = 0; k < c.Len; k++)
{
subgridIndex2LocalCellIndex[jj] = c.i0 + k;
jj++;
}
}
return(subgridIndex2LocalCellIndex);
}
/// <summary>
/// Constructor for the grid refinement controller, defines input cells
/// </summary>
/// <param name="currentGrid">
/// Current grid.
/// </param>
/// <param name="cutCells">
/// Cut cells will have always the max refinement level. Null is a valid input if no level-set is used.
/// </param>
/// <param name="cellsNotOK2Coarsen">
/// Cells which are not allowed to be coarsend. It is not necessary to include cut cells here, as they are handled by the cutCells CellMask.
/// </param>
public GridRefinementController(GridData currentGrid, CellMask cutCells, CellMask cellsNotOK2Coarsen = null)
{
CurrentGrid = currentGrid;
CellPartitioning = CurrentGrid.CellPartitioning;
LocalNumberOfCells = CurrentGrid.Cells.NoOfLocalUpdatedCells;
GlobalIndexOfFirstLocalCell = CellPartitioning.i0;
GlobalNumberOfCells = CellPartitioning.TotalLength;
CutCells = cutCells;
if (CutCells == null)
{
CutCells = CellMask.GetEmptyMask(CurrentGrid);
}
if (cellsNotOK2Coarsen == null)
{
cellsNotOK2Coarsen = CellMask.GetEmptyMask(CurrentGrid);
}
CellsNotOK2Coarsen = cellsNotOK2Coarsen.Union(CutCells).GetBitMask();
}
/// <summary>
/// Converts this
/// from a geometrical (<see cref="IGridData.iGeomCells"/>) mask
/// to a logical (<see cref="IGridData.iLogicalCells"/>) mask.
/// </summary>
/// <returns></returns>
public CellMask ToLogicalMask()
{
if (base.MaskType != MaskType.Geometrical)
{
throw new NotSupportedException();
}
if (base.GridData is Grid.Classic.GridData || GridData.iGeomCells.GeomCell2LogicalCell == null)
{
// logical and geometrical cells are identical - return a clone of this mask
return(new CellMask(base.GridData, base.Sequence, MaskType.Logical));
}
else
{
int[] jG2jL = GridData.iGeomCells.GeomCell2LogicalCell;
int Jl = GridData.iLogicalCells.NoOfLocalUpdatedCells;
BitArray ba = new BitArray(Jl);
foreach (Chunk c in this) // loop over chunks of logical cells...
{
for (int jG = 0; jG < c.JE; jG++) // loop over cells in chunk...
{
int jL = jG2jL[jG];
ba[jL] = true;
}
}
var cmL = new CellMask(base.GridData, ba, MaskType.Logical);
#if DEBUG
// convert new logical mask back to geometrical and see if both masks are equal
BitArray shouldBeEqual = (cmL.ToGeometicalMask()).GetBitMask();
BitArray thisMask = this.GetBitMask();
Debug.Assert(shouldBeEqual.Length == thisMask.Length);
for (int j = 0; j < shouldBeEqual.Length; j++)
{
Debug.Assert(shouldBeEqual[j] == thisMask[j]);
}
#endif
return(cmL);
}
}
/// <summary>
/// see <see cref="DGField.Acc(double,DGField,Grid.CellMask)"/>;
/// </summary>
public override void Acc(double mult, DGField a, Grid.CellMask cm)
{
using (new FuncTrace()) {
if (!a.Basis.Equals(this.Basis))
{
throw new ArgumentException("Basis of 'a' must be equal to basis of this field", "a");
}
SinglePhaseField _a = a as SinglePhaseField;
if (cm == null && _a != null &&
this.m_Mda_Coordinates.IsContinious && _a.m_Mda_Coordinates.IsContinious)
{
// optimized branch
// ++++++++++++++++
double[] storThis = this.m_Mda_Coordinates.Storage;
double[] strOther = _a.m_Mda_Coordinates.Storage;
int i0This = this.m_Mda_Coordinates.Index(0, 0);
int i0Othr = _a.m_Mda_Coordinates.Index(0, 0);
int N = this.Mapping.LocalLength;
int inc = 1;
unsafe
{
fixed(double *pStorThis = storThis, pStrOther = strOther)
{
BLAS.F77_BLAS.DAXPY(ref N, ref mult, pStrOther, ref inc, pStorThis, ref inc);
}
}
}
else
{
// default branch
// ++++++++++++++
base.Acc(mult, a, cm);
}
}
}
/// <summary>
/// a cell is in the returned cell mask if
/// it is a neighbor cell of this edge mask and if it is also neighbor of <paramref name="X"/>
/// </summary>
public CellMask GetAdjacentCellsCond(CellMask X)
{
var gridData = (Grid.Classic.GridData)(base.GridData);
int J = gridData.Cells.NoOfLocalUpdatedCells;
int[,] AllEdges = gridData.Edges.CellIndices;
BitArray mask = new BitArray(J);
BitArray Xmask = X.GetBitMaskWithExternal();
foreach (var ch in this)
{
int L = ch.i0 + ch.Len;
for (int l = ch.i0; l < L; l++)
{
int cellIn = AllEdges[l, 0];
int cellOt = AllEdges[l, 1];
bool Out = (cellOt > 0 && Xmask[cellOt]);
bool In_ = Xmask[cellIn];
if (!(Out || In_))
{
continue;
}
if (cellIn < J)
{
mask[cellIn] = true;
}
if (cellOt >= 0 && cellOt < J)
{
mask[cellOt] = true;
}
}
}
return(new CellMask(gridData, mask, MaskType.Logical));
}
/// <summary>
/// Computes refinement and coarsening lists
/// (inputs for <see cref="GridData.Adapt(IEnumerable{int}, IEnumerable{int[]}, out GridCorrelation)"/>),
/// based on a refinement indicator.
/// </summary>
/// <param name="CurrentGrid">
/// Current grid.
/// </param>
/// <param name="LevelIndicator">
/// Mapping from (local cell index, current refinement level) to desired refinement level for the respective cell,
/// see <see cref="Cell.RefinementLevel"/>.
/// </param>
/// <param name="CellsToRefineList">
/// Output, local indices of cells which should be refined.
/// </param>
/// <param name="Coarsening">
/// Output, clusters of cells (identified by local cell indices) which can be combined into coarser cells.
/// </param>
/// <param name="CutCells">
/// If not null, a mask of cells in which coarsening is forbidden (usually cut-cells);
/// </param>
/// <returns>
/// True if any refinement or coarsening of the current grid should be performed; otherwise false.
/// </returns>
public static bool ComputeGridChange(GridData CurrentGrid, CellMask CutCells, Func <int, int, int> LevelIndicator, out List <int> CellsToRefineList, out List <int[]> Coarsening)
{
int oldJ = CurrentGrid.Cells.NoOfLocalUpdatedCells;
bool NoRefinement = true;
int[] DesiredLevel = new int[oldJ];
for (int j = 0; j < oldJ; j++)
{
int CurrentLevel_j = CurrentGrid.Cells.GetCell(j).RefinementLevel;
int DesiredLevel_j = LevelIndicator(j, CurrentLevel_j);
if (DesiredLevel[j] < DesiredLevel_j)
{
DesiredLevel[j] = DesiredLevel_j;
NoRefinement = false;
RefineNeighboursRecursive(CurrentGrid, DesiredLevel, j, DesiredLevel_j - 1);
}
}
BitArray Ok2Coarsen = new BitArray(oldJ);
for (int j = 0; j < oldJ; j++)
{
int ActualLevel_j = CurrentGrid.Cells.GetCell(j).RefinementLevel;
int DesiredLevel_j = DesiredLevel[j];
int[][] CellNeighbours = CurrentGrid.Cells.CellNeighbours;
if (ActualLevel_j > DesiredLevel_j && DesiredLevel_j >= CellNeighbours[j].Select(cn => DesiredLevel[cn]).Max() - 1)
{
Ok2Coarsen[j] = true;
}
}
if (CutCells != null)
{
foreach (int j in CutCells.ItemEnum)
{
Ok2Coarsen[j] = false;
}
}
int[][] CClusters = FindCoarseningClusters(Ok2Coarsen, CurrentGrid);
Coarsening = new List <int[]>();
int NoOfCellsToCoarsen = 0;
for (int j = 0; j < oldJ; j++)
{
if (CClusters[j] != null)
{
NoOfCellsToCoarsen++;
Debug.Assert(CClusters[j].Contains(j));
if (j == CClusters[j].Min())
{
Coarsening.Add(CClusters[j]);
}
}
}
CellsToRefineList = new List <int>();
if ((!NoRefinement) || (Coarsening.Count > 0))
{
for (int j = 0; j < oldJ; j++)
{
int ActualLevel_j = CurrentGrid.Cells.GetCell(j).RefinementLevel;
int DesiredLevel_j = DesiredLevel[j];
if (ActualLevel_j < DesiredLevel_j)
{
CellsToRefineList.Add(j);
}
}
}
// If any cells which should refined are members of CutCells
if (CellsToRefineList.Count == 0 && Coarsening.Count == 0)
{
NoRefinement = true;
}
return(!NoRefinement);
}
/// <summary>
/// Find the cell which contains some point <paramref name="pt"/>;
/// If <paramref name="pt"/> is not within any cell, the cell with its
/// center nearest to <paramref name="pt"/> is returned and in this
/// case, <paramref name="IsInside"/> is false.
/// </summary>
/// <param name="pt"></param>
/// <param name="GlobalId">
/// the Global ID of the found cell;
/// </param>
/// <param name="GlobalIndex">
/// the Global index of the found cell;
/// </param>
/// <param name="IsInside">
/// true, if <paramref name="pt"/> is within the cell identified by
/// <paramref name="GlobalId"/>;
/// otherwise, false;
/// </param>
/// <param name="OnThisProcess">
/// If true, the cell <paramref name="GlobalId"/> is located on the current MPI process.
/// </param>
/// <param name="CM">
/// optional cell mask to restrict the search region
/// </param>
/// <remarks>
/// This operation is relatively costly, as it needs to perform a sweep
/// over all cells, it should not be used for performance-critical
/// tasks.<br/>
/// This operation is MPI-collective, the output-values are equal on
/// all MPI-processors.
/// </remarks>
static public void LocatePoint(this IGridData gdat, double[] pt, out long GlobalId, out long GlobalIndex, out bool IsInside, out bool OnThisProcess, CellMask CM = null)
{
using (new FuncTrace()) {
if (pt.Length != gdat.SpatialDimension)
{
throw new ArgumentException("length must be equal to spatial dimension", "pt");
}
ilPSP.MPICollectiveWatchDog.Watch(MPI.Wrappers.csMPI.Raw._COMM.WORLD);
int MpiRank = gdat.CellPartitioning.MpiRank;
int MpiSize = gdat.CellPartitioning.MpiSize;
int J = gdat.iLogicalCells.NoOfLocalUpdatedCells;
int D = gdat.SpatialDimension;
MultidimensionalArray center = MultidimensionalArray.Create(1, 1, D); // cell center in global coordinates
MultidimensionalArray _pt = MultidimensionalArray.Create(1, D); // point to search for
for (int d = 0; d < D; d++)
{
_pt[0, d] = pt[d];
}
MultidimensionalArray _pt_local = MultidimensionalArray.Create(1, 1, D); // .. in cell-local coordinate
double[] pt_local = new double[D];
// sweep over locally updated cells ...
// ====================================
int jL_MinDistCel = 0; // logical cell with minimum distance
int jG_MinDistCel = 0; // geometrical cell with minimum distance
double MinDist = double.MaxValue;
int j_Within = -1;
if (CM == null)
{
CM = CellMask.GetFullMask(gdat);
}
foreach (int jL in CM.ItemEnum)
{
foreach (int j in gdat.GetGeometricCellIndices(jL))
{
// compute distance
// ================
{
var smplx = gdat.iGeomCells.GetRefElement(j);
gdat.TransformLocal2Global(smplx.Center, j, 1, center, 0);
double dist = 0;
for (int d = 0; d < D; d++)
{
double del = pt[d] - center[0, 0, d];
dist += del * del;
}
dist = Math.Sqrt(dist);
if (dist < MinDist)
{
MinDist = dist;
jL_MinDistCel = jL;
jG_MinDistCel = j;
}
}
// transform back into cell
// ========================
{
try {
gdat.TransformGlobal2Local(_pt, _pt_local, j, 1, 0);
for (int d = 0; d < D; d++)
{
pt_local[d] = _pt_local[0, 0, d];
}
var smplx = gdat.iGeomCells.GetRefElement(j);
if (smplx.IsWithin(pt_local))
{
j_Within = j;
}
} catch (ArithmeticException) {
// probably outside...
}
}
}
}
// ========================================
// First case: point is inside of some cell
// ========================================
int lowestWithinRank = j_Within >= 0 ? MpiRank : int.MaxValue;
lowestWithinRank = lowestWithinRank.MPIMin(); // lowest rank which found a cell that contains the point:
// this rank will be the official finder!
if (lowestWithinRank < MpiSize)
{
LocatPointHelper(gdat, lowestWithinRank, j_Within, out GlobalId, out GlobalIndex, out OnThisProcess);
IsInside = true;
return;
}
// ========================================
// Second case: point is outside of all cells
// ========================================
double MinDistGlobal = MinDist.MPIMin();
int lowestMinimumRank = MinDistGlobal == MinDist ? MpiRank : int.MaxValue;
lowestMinimumRank = lowestMinimumRank.MPIMin(); // find minimum rank on which the global minimum was reached.
if (lowestMinimumRank < 0 || lowestMinimumRank >= MpiSize)
{
throw new ApplicationException();
}
LocatPointHelper(gdat, lowestMinimumRank, jL_MinDistCel, out GlobalId, out GlobalIndex, out OnThisProcess);
IsInside = false;
return;
}
}
/// <summary>
/// Returns an enumeration of geometrical cell chunks (first index an length) for a given cell mask.
/// </summary>
/// <param name="CM"></param>
/// <param name="MaxVecLen"></param>
/// <param name="ConsecutiveMask"></param>
/// <returns></returns>
public static IEnumerable <Tuple <int, int> > GetGeometricCellChunks(this CellMask CM, int MaxVecLen, CellInfo ConsecutiveMask = CellInfo.Undefined)
{
var ret = new Mask2GeomChunks_Enumable()
{
CM = CM, MaxVecLen = MaxVecLen, ConsecutiveMask = ConsecutiveMask
};
#if DEBUG
int JG = CM.GridData.iGeomCells.Count;
BitArray test = new BitArray(JG);
foreach (var t_i0_len in ret)
{
int j0 = t_i0_len.Item1;
int Len = t_i0_len.Item2;
var Flag_j0 = CM.GridData.iGeomCells.InfoFlags[j0] & ConsecutiveMask;
for (int j = j0; j < j0 + Len; j++)
{
Debug.Assert(test[j] == false); // each geometric cell is touched only once.
test[j] = true;
var Flag_j = CM.GridData.iGeomCells.InfoFlags[j0] & ConsecutiveMask;
Debug.Assert(Flag_j == Flag_j0); // each geometric cell has the same
}
}
BitArray CMmask = CM.GetBitMask();
int[][] L2G = CM.GridData.iLogicalCells.AggregateCellToParts;
for (int jL = 0; jL < CMmask.Count; jL++)
{
if (L2G == null || L2G[jL] == null)
{
int jG = jL;
if (CMmask[jL] != test[jG])
{
var r = new Mask2GeomChunks_Enumable()
{
CM = CM, MaxVecLen = MaxVecLen, ConsecutiveMask = ConsecutiveMask
};
foreach (var _t_i0_len in r)
{
int j0 = _t_i0_len.Item1;
int Len = _t_i0_len.Item2;
for (int j = j0; j < j0 + Len; j++)
{
Console.WriteLine(j);
}
}
Debugger.Break();
}
Debug.Assert(CMmask[jL] == test[jG]);
}
else
{
foreach (int jG in L2G[jL])
{
Debug.Assert(CMmask[jL] == test[jG]);
}
}
}
#endif
return(ret);
}
public void Dispose()
{
CMenum.Dispose();
CMenum = null;
CM = null; // object can never be used again.
}
/// <summary>
/// computes a global time-step length ("delta t") according to the
/// Courant-Friedrichs-Lax - criterion, based on a velocity
/// vector (<paramref name="velvect"/>) and the cell size
/// this.<see cref="Cells"/>.<see cref="CellData.h_min"/>;
/// </summary>
/// <param name="velvect">
/// components of a velocity vector
/// </param>
/// <param name="max">
/// an upper maximum for the return value; This is useful if the velocity
/// defined by <paramref name="velvect"/> is 0 or very small everywhere;
/// </param>
/// <param name="cm">
/// optional restriction of domain.
/// </param>
/// <returns>
/// the minimum (over all cells j in all processes) of <see cref="CellData.h_min"/>[j]
/// over v, where v is the Euclidean norm of a vector build from
/// <paramref name="velvect"/>;
/// This vector is evaluated at cell center and all cell vertices.
/// The return value is the same on all processes;
/// </returns>
static public double ComputeCFLTime <T>(this IGridData __gdat, IEnumerable <T> velvect, double max, CellMask cm = null)
where T : DGField //
{
using (var tr = new FuncTrace()) {
GridData gdat = (GridData)__gdat;
ilPSP.MPICollectiveWatchDog.Watch(MPI.Wrappers.csMPI.Raw._COMM.WORLD);
T[] _velvect = velvect.ToArray();
if (cm == null)
{
cm = CellMask.GetFullMask(gdat);
}
int D = gdat.SpatialDimension;
var KrefS = gdat.Grid.RefElements;
// find cfl number on this processor
// ---------------------------------
var m_CFL_EvalPoints = new NodeSet[KrefS.Length];
for (int i = 0; i < KrefS.Length; i++)
{
var Kref = KrefS[i];
int N = Kref.NoOfVertices + 1;
MultidimensionalArray vert = MultidimensionalArray.Create(N, D);
vert.SetSubArray(Kref.Vertices, new int[] { 0, 0 }, new int[] { N - 2, D - 1 });
m_CFL_EvalPoints[i] = new NodeSet(Kref, vert);
}
// evaluators an memory for result
int VecMax = 1000;
DGField[] evalers = new DGField[_velvect.Length];
MultidimensionalArray[] fieldValues = new MultidimensionalArray[_velvect.Length];
for (int i = 0; i < _velvect.Length; i++)
{
evalers[i] = _velvect[i];
fieldValues[i] = MultidimensionalArray.Create(VecMax, m_CFL_EvalPoints[0].NoOfNodes);
}
var h_min = gdat.Cells.h_min;
int K = _velvect.Length;
double cflhere = max;
//for (int j = 0; j < J; j += VectorSize) {
foreach (Chunk chk in cm)
{
int VectorSize = VecMax;
for (int j = chk.i0; j < chk.JE; j += VectorSize)
{
if (j + VectorSize > chk.JE + 1)
{
VectorSize = chk.JE - j;
}
VectorSize = gdat.Cells.GetNoOfSimilarConsecutiveCells(CellInfo.RefElementIndex_Mask, j, VectorSize);
int iKref = gdat.Cells.GetRefElementIndex(j);
int N = m_CFL_EvalPoints[iKref].GetLength(0);
if (fieldValues[0].GetLength(0) != VectorSize)
{
for (int i = 0; i < _velvect.Length; i++)
{
fieldValues[i].Allocate(VectorSize, N);
}
}
for (int k = 0; k < K; k++)
{
evalers[k].Evaluate(j, VectorSize, m_CFL_EvalPoints[iKref], fieldValues[k], 0, 0.0);
}
// loop over cells ...
for (int jj = j; jj < j + VectorSize; jj++)
{
// loop over nodes ...
for (int n = 0; n < N; n++)
{
double velabs = 0;
// loop over velocity components ...
for (int k = 0; k < K; k++)
{
double v = fieldValues[k][jj - j, n];
velabs += v * v;
}
velabs = Math.Sqrt(velabs);
double cfl = h_min[jj] / velabs;
cflhere = Math.Min(cfl, cflhere);
}
}
}
}
// find the minimum over all processes via MPI and return
// ------------------------------------------------------
double cfltotal;
unsafe {
csMPI.Raw.Allreduce((IntPtr)(&cflhere), (IntPtr)(&cfltotal), 1, csMPI.Raw._DATATYPE.DOUBLE, csMPI.Raw._OP.MIN, csMPI.Raw._COMM.WORLD);
}
tr.Info("computed CFL timestep: " + cfltotal);
return(cfltotal);
}
}
/// <summary>
/// ctor
/// </summary>
/// <param name="volMask">
/// volume mask for those cells which should be contained in the subgrid
/// </param>
public SubGrid(CellMask volMask)
{
MPICollectiveWatchDog.Watch();
this.m_VolumeMask = volMask;
m_GridData = volMask.GridData;
}
