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Storage cache refinements #808

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Storage cache refinements #808

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4e5d851
Add and use shiftStorageCache().
May 30, 2023
5e96e43
Adapt TpfaLinearizer to possible shifting of storage cache.
atgeirr May 30, 2023
a35a5a0
Bugfix storage cache in FvBaseLocalResidual.
May 31, 2023
f65ea94
Fix for finite difference (not AD) usage.
atgeirr Jun 2, 2023
84baba1
Set storage cache for timeIdx 1 on first step.
atgeirr Jun 5, 2023
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39 changes: 20 additions & 19 deletions opm/models/discretization/common/fvbaselocalresidual.hh
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Original file line number Diff line number Diff line change
Expand Up @@ -535,25 +535,26 @@ protected:
if (elemCtx.enableStorageCache()) {
const auto& model = elemCtx.model();
unsigned globalDofIdx = elemCtx.globalSpaceIndex(dofIdx, /*timeIdx=*/0);
for (unsigned eqIdx = 0; eqIdx < numEq; ++ eqIdx) {
tmp2[eqIdx] = Toolbox::value(tmp[eqIdx]);
}
if(elemCtx.problem().recycleFirstIterationStorage()) {
if (model.newtonMethod().numIterations() == 0)
{
// if the storage term is cached and we're in the first iteration
// of the time step, use the storage term of the first iteration
// as the one as the solution of the last time step (this assumes
// that the initial guess for the solution at the end of the time
// step is the same as the solution at the beginning of the time
// step. This is usually true, but some fancy preprocessing
// scheme might invalidate that assumption.)
Valgrind::CheckDefined(tmp2);
model.updateCachedStorage(globalDofIdx, /*timeIdx=*/1, tmp2);
}
} else {
model.updateCachedStorage(globalDofIdx, /*timeIdx=*/0, tmp2);
}
for (unsigned eqIdx = 0; eqIdx < numEq; ++eqIdx) {
tmp2[eqIdx] = Toolbox::value(tmp[eqIdx]);
}
if (!elemCtx.haveStashedIntensiveQuantities()) {
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Huh, interesting. I'd not come across that function before. Its documentation is a little hard to comprehend though, since it states that the function

returns true if NO intensive quantities are stashed

Is that accurate?

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I have also not really come across it. The mechanism is used to stash away data for a cell before perturbing the element context for finite difference derivative evaluations, and then restoring it afterwards, so its removal from the logic made such cases fail.

The doc is wrong...

if (elemCtx.problem().recycleFirstIterationStorage()) {
if (model.newtonMethod().numIterations() == 0) {
// if the storage term is cached and we're in the first iteration
// of the time step, use the storage term of the first iteration
// as the one as the solution of the last time step (this assumes
// that the initial guess for the solution at the end of the time
// step is the same as the solution at the beginning of the time
// step. This is usually true, but some fancy preprocessing
// scheme might invalidate that assumption.)
Valgrind::CheckDefined(tmp2);
model.updateCachedStorage(globalDofIdx, /*timeIdx=*/1, tmp2);
}
} else {
model.updateCachedStorage(globalDofIdx, /*timeIdx=*/0, tmp2);
}
}
// if the storage term at the beginning of the time step is cached
// from the last time step or we're not looking at the first
// iteration of the time step, we take the cached data.
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