- since ensight format is always float and also always written component-wise, perform the double -> float narrowing when extracting the components. This reduces the amount of data transferred between processors. ENH: avoid vtk/ensight parallel communication of empty messages - since ensight writes by element type (eg, tet, hex, polyhedral) the individual written field sections will tend to be relatively sparse. Skip zero-size messages, which should help reduce some of the synchronization bottlenecks. ENH: use 'data chunking' when writing ensight files in parallel - since ensight fields are written on a per-element basis, the corresponding segment can become rather sparsely distributed. With 'data chunking', we attempt to get as many send/recv messages in before flushing the buffer for writing. This should make the sequential send/recv less affected by the IO time. ENH: allow use of an external buffer when writing ensight components STYLE: remove last vestiges of autoPtr<ensightFile> for output routines
133 lines
4.8 KiB
C
133 lines
4.8 KiB
C
/*---------------------------------------------------------------------------*\
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========= |
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\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
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\\ / O peration |
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\\ / A nd | www.openfoam.com
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\\/ M anipulation |
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-------------------------------------------------------------------------------
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Copyright (C) 2018-2022 OpenCFD Ltd.
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-------------------------------------------------------------------------------
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License
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This file is part of OpenFOAM, distributed under GPL-3.0-or-later.
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Description
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Code chunk for post-processing conversion of cloud(s) to Ensight
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\*---------------------------------------------------------------------------*/
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// Cloud field data output
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if (doLagrangian)
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{
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// Lagrangian
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const auto& cloudFields = regionCloudFields[regioni];
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const auto& cloudNames = regionCloudNames[regioni];
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for (const word& cloudName : cloudNames)
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{
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const HashTable<word>& theseCloudFields = cloudFields[cloudName];
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fileNameList currentCloudDirs
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(
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readDir
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(
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runTime.timePath()/regionDir/cloud::prefix,
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fileName::DIRECTORY
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)
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);
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Info<< "Cloud " << cloudName << " (";
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const bool cloudExists =
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returnReduceOr(currentCloudDirs.found(cloudName));
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{
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autoPtr<ensightFile> os = ensCase.newCloud(cloudName);
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ensightOutput::writeCloudPositions
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(
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os.ref(),
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mesh,
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cloudName,
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cloudExists
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);
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Info<< " positions";
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if (!cloudExists)
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{
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Info<< "{0}"; // report empty field
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}
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}
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// Field order may differ on individual processors, so sort by name
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for (const word& fieldName : theseCloudFields.sortedToc())
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{
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const word& fieldType = theseCloudFields[fieldName];
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IOobject fieldObject
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(
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fieldName,
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mesh.time().timeName(),
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cloud::prefix/cloudName,
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mesh,
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IOobject::MUST_READ
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);
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bool fieldExists = cloudExists; // No field without positions
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if (cloudExists)
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{
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// Want MUST_READ (globally) and valid=false (locally),
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// but that combination does not work.
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// So check the header and sync globally
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const bool oldParRun = Pstream::parRun(false);
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fieldExists = fieldObject.typeHeaderOk<IOField<scalar>>(false);
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Pstream::parRun(oldParRun); // Restore parallel state
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Pstream::reduceOr(fieldExists);
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}
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bool wrote = false;
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do
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{
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#undef ensight_WRITE_CLOUD_FIELD
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#define ensight_WRITE_CLOUD_FIELD(PrimitiveType) \
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\
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if (fieldType == IOField<PrimitiveType>::typeName) \
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{ \
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autoPtr<ensightFile> os = \
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ensCase.newCloudData<PrimitiveType> \
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( \
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cloudName, \
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fieldName \
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); \
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\
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wrote = ensightOutput::readWriteCloudField<PrimitiveType> \
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( \
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os.ref(), \
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fieldObject, \
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fieldExists \
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); \
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break; \
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}
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ensight_WRITE_CLOUD_FIELD(scalar);
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ensight_WRITE_CLOUD_FIELD(vector);
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#undef ensight_WRITE_CLOUD_FIELD
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} while (false);
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if (wrote)
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{
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Info<< ' ' << fieldName;
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if (!fieldExists)
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{
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Info<< "{0}"; // report empty field
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}
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}
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}
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Info<< " )" << nl;
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}
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}
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// ************************************************************************* //
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