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Fix LBGPU velocity interpolation close to boundary #3593

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merged 8 commits into from Mar 26, 2020

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RudolfWeeber
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Fixes #

Description of changes:
LB GPu velocity interpolation used incorrect velocities at boundary nodes. This lead to incorrect resutls for interpolations closer than one lattice constant to the boundary.
This adds a missing unit conversion 1/lattice_speed for boundary nodes, which fixes the issue.

Tests for interpolation at the boundary position and at the mid-point between the boundary and the next lattice site.

This should go into 4.1.3

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codecov bot commented Mar 25, 2020

Codecov Report

Merging #3593 into python will increase coverage by <1%.
The diff coverage is n/a.

Impacted file tree graph

@@           Coverage Diff           @@
##           python   #3593    +/-   ##
=======================================
+ Coverage      88%     88%   +<1%     
=======================================
  Files         527     527            
  Lines       23572   23572            
=======================================
+ Hits        20755   20761     +6     
+ Misses       2817    2811     -6
Impacted Files Coverage Δ
src/core/electrostatics_magnetostatics/p3m.cpp 85% <0%> (ø) ⬆️
src/core/polymer.cpp 98% <0%> (+5%) ⬆️

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testsuite/python/lb_interpolation.py Outdated Show resolved Hide resolved
testsuite/python/lb_interpolation.py Outdated Show resolved Hide resolved
# np.testing.assert_almost_equal(self.lbf.get_interpolated_velocity(pos)[2], 0.0)
# Check interpolated vel at upper boundary. The node position is at
# box_l[0]-agrid/2.
np.testing.assert_allclose(self.lbf.get_interpolated_velocity(
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do we need to guard the result of get_interpolated_velocity with np.copy()?

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We let the CI decide.

@jngrad
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jngrad commented Mar 25, 2020

Did you figure out the source of the error Lattice velocity exceeds the Mach number limit in function void lb_boundary_mach_check() in failed CI jobs?

@RudolfWeeber
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I don't understand the larger error for the clang:6.0 and cuda 9 images. On my machine, (and apparently on the cuda 10 container), the accuracy is much better. Atol=1E-10 worked locally.

I'm increasing the tolerance for now, because the result is still much better than the one with the missing prefactor without this PR. But I don't understand why that should be needed.

@RudolfWeeber
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Accuracy reduction was caused by an unintended parameter change (TAU) which I reverted now. still don't understand the platform-dependence, now.

@fweik fweik added this to the Espresso 4.1.3 milestone Mar 26, 2020
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jngrad commented Mar 26, 2020

Seems to be working now. Could you please revert the print/sys.stdout changes and squash the PR down to a single commit? This will make backporting go smoother.

@RudolfWeeber
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RudolfWeeber commented Mar 26, 2020 via email

@jngrad jngrad added the automerge Merge with kodiak label Mar 26, 2020
@kodiakhq kodiakhq bot merged commit 0479f39 into espressomd:python Mar 26, 2020
@KaiSzuttor
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is the boundary velocity stored in MD units? The correct fix would be to store it in LB units and not adding this unit conversion in the LB code. This should be reverted.

@RudolfWeeber
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RudolfWeeber commented Mar 30, 2020 via email

@KaiSzuttor
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all right

RudolfWeeber pushed a commit to RudolfWeeber/espresso that referenced this pull request Jul 4, 2020
Fixes #

Description of changes:
LB GPu velocity interpolation used incorrect velocities at boundary nodes. This lead to incorrect resutls for interpolations closer than one lattice constant to the boundary.
This adds a missing unit conversion 1/lattice_speed for boundary nodes, which fixes the issue.

Tests for interpolation at the boundary position and at the mid-point between the boundary and the next lattice site.

This should go into 4.1.3
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4 participants