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========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration | Website: https://openfoam.org
\\ / A nd | Copyright (C) 2021-2026 OpenFOAM Foundation
\\/ M anipulation |
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
OpenFOAM 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 3 of the License, or
(at your option) any later version.
OpenFOAM 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 OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
\*---------------------------------------------------------------------------*/
#include "loadBalancer_fvMeshDistributor.H"
#include "decompositionMethod.H"
#include "cpuLoad.H"
#include "globalMeshData.H"
#include "addToRunTimeSelectionTable.H"
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
namespace Foam
{
namespace fvMeshDistributors
{
defineTypeNameAndDebug(loadBalancer, 0);
addToRunTimeSelectionTable
(
fvMeshDistributor,
loadBalancer,
fvMesh
);
}
}
// * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
Foam::fvMeshDistributors::loadBalancer::loadBalancer
(
fvMesh& mesh,
const dictionary& dict
)
:
distributor(mesh, dict),
multiConstraint_(dict.lookupOrDefault<Switch>("multiConstraint", true))
{}
// * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
Foam::fvMeshDistributors::loadBalancer::~loadBalancer()
{}
// * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
bool Foam::fvMeshDistributors::loadBalancer::update()
{
const fvMesh& mesh = this->mesh();
bool redistributed = false;
if
(
Pstream::nProcs() > 1
&& mesh.time().timeIndex() - mesh.time().startTimeIndex() > 1
&& timeIndex_ != mesh.time().timeIndex()
)
{
timeIndex_ = mesh.time().timeIndex();
// Get the CPU time fer this processor which includes waiting time
const scalar timeStepCpuTime = cpuTime_.cpuTimeIncrement();
// CPU loads per cell
HashTable<cpuLoad*> cpuLoads(this->mesh().lookupClass<cpuLoad>());
if (!cpuLoads.size())
{
FatalErrorInFunction
<< "No CPU loads have been allocated"
<< exit(FatalError);
}
if (mesh.time().timeIndex() % redistributionInterval_ == 0)
{
timeIndex_ = mesh.time().timeIndex();
scalarList procCpuLoads(cpuLoads.size());
label l = 0;
forAllConstIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
procCpuLoads[l++] = sum(*iter());
}
List<scalarList> allProcCpuLoads(Pstream::nProcs());
allProcCpuLoads[Pstream::myProcNo()] = procCpuLoads;
Pstream::gatherList(allProcCpuLoads);
Pstream::scatterList(allProcCpuLoads);
scalarList sumProcCpuLoads(procCpuLoads.size(), scalar(0));
scalarList maxProcCpuLoads(procCpuLoads.size(), scalar(0));
forAll(maxProcCpuLoads, l)
{
forAll(allProcCpuLoads, proci)
{
sumProcCpuLoads[l] += allProcCpuLoads[proci][l];
maxProcCpuLoads[l] =
max(maxProcCpuLoads[l], allProcCpuLoads[proci][l]);
}
}
// Sum over loads of the maximum load CPU time per processor
const scalar sumMaxProcCpuLoad(sum(maxProcCpuLoads));
// Maximum number of cells per processor
const label maxNcells = returnReduce(mesh.nCells(), maxOp());
// Maximum processor CPU time spent doing basic CFD
const scalar maxBaseCpuTime =
returnReduce(timeStepCpuTime, maxOp())
- sumMaxProcCpuLoad;
const scalar cellBaseCpuTime = maxBaseCpuTime/maxNcells;
// Processor CPU time spent doing basic CFD, not waiting
const scalar baseCpuTime = mesh.nCells()*cellBaseCpuTime;
// Maximum total CPU time
const scalar maxProcCpuTime = maxBaseCpuTime + sumMaxProcCpuLoad;
// Total CPU time for this processor not waiting
const scalar procCpuTime = baseCpuTime + sum(procCpuLoads);
// Average processor CPU time
const scalar averageProcessorCpuTime =
returnReduce(procCpuTime, sumOp())/Pstream::nProcs();
const scalar imbalance =
(maxProcCpuTime - averageProcessorCpuTime)
/averageProcessorCpuTime;
Info<< nl << type() << nl;
l = 0;
forAllConstIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
Info<< " Imbalance of load " << iter()->name() << ": "
<< (
maxProcCpuLoads[l]
- sumProcCpuLoads[l]/Pstream::nProcs()
)/averageProcessorCpuTime
<< endl;
l++;
}
Info<< " Imbalance of base load " << ": "
<< (
maxBaseCpuTime
- mesh.globalData().nTotalCells()*cellBaseCpuTime
/Pstream::nProcs()
)/averageProcessorCpuTime
<< endl;
Info<< " Total imbalance " << imbalance << endl;
if (imbalance > maxImbalance_)
{
Info<< " Redistributing mesh" << endl;
scalarField weights;
if (multiConstraint_)
{
const label nWeights = cpuLoads.size() + 1;
weights.setSize(nWeights*mesh.nCells());
for (label i=0; i<mesh.nCells(); i++)
{
weights[nWeights*i] = cellBaseCpuTime;
}
label l = 1;
forAllConstIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
const scalarField& cpuLoadField = *iter();
forAll(cpuLoadField, i)
{
weights[nWeights*i + l] = cpuLoadField[i];
}
iter()->checkOut();
l++;
}
}
else
{
weights.setSize(mesh.nCells(), cellBaseCpuTime);
forAllConstIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
weights += *iter();
iter()->checkOut();
}
}
// Create new decomposition distribution
const labelList distribution
(
distributor_->decompose(mesh, weights)
);
distribute(distribution);
redistributed = true;
Info<< endl;
}
else
{
forAllIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
iter()->checkOut();
}
}
}
else
{
forAllIter(HashTable<cpuLoad*>, cpuLoads, iter)
{
iter()->checkOut();
}
}
}
return redistributed;
}
// ************************************************************************* //
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