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WIP: Uniform Cylindrical and Spherical Coordinates #914
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@@ -19,6 +19,7 @@ | |
#include "basic_types.hpp" | ||
#include "defs.hpp" | ||
#include "globals.hpp" | ||
#include "parameter_input.hpp" | ||
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#include <Kokkos_Macros.hpp> | ||
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@@ -41,6 +42,21 @@ class UniformCartesian { | |
xmin_[0] = rs.x1min - istart_[0] * dx_[0]; | ||
xmin_[1] = rs.x2min - istart_[1] * dx_[1]; | ||
xmin_[2] = rs.x3min - istart_[2] * dx_[2]; | ||
ndim_ = (rs.nx1 != 1) + (rs.nx2 != 1) + (rs.nx3 != 1); | ||
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std::string coord_type_str = pin->GetOrAddString("parthenon/mesh", "coord", "cartesian"); | ||
//REMOVE ME | ||
//if (coord_type_str == "cartesian") { | ||
// coord_type = parthenon::uniformOrthMesh::cartesian; | ||
//} else | ||
if (coord_type_str == "cylindrical") { | ||
PARTHENON_THROW(" Please rebuild with -DCOORDINATE_TYPE=UniformCylindrical"); | ||
} else if (coord_type_str == "spherical_polar") { | ||
PARTHENON_THROW(" Please rebuild with -DCOORDINATE_TYPE=UniformSpherical"); | ||
} else { | ||
PARTHENON_THROW("Invalid coord input in <parthenon/mesh>."); | ||
} | ||
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} | ||
UniformCartesian(const UniformCartesian &src, int coarsen) | ||
: istart_(src.GetStartIndex()) { | ||
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@@ -56,6 +72,7 @@ class UniformCartesian { | |
area_[1] = dx_[0] * dx_[2]; | ||
area_[2] = dx_[0] * dx_[1]; | ||
cell_volume_ = dx_[0] * dx_[1] * dx_[2]; | ||
ndim_ = src.ndim_; | ||
} | ||
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//---------------------------------------- | ||
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@@ -277,13 +294,43 @@ class UniformCartesian { | |
return 0.0; | ||
} | ||
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//---------------------------------------- | ||
// Cylindrical+Spherical Conversions | ||
//---------------------------------------- | ||
// TODO | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Hmm... is this actually something we need/want the Parthenon coords tooling to provide? My recommendation is one of the following:
Probably but not necessarily we want to go with option 1, as that's what's needed for vis tooling and initial conditions in some contexts. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. longer discussion below. Resolving this comment There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. From what I've done and what Shengtai included in his demo, there's a bigger use case to provide spherical and cylindrical conversions in Parthenon since we're likely to deal with physical systems where those coordinates make sense (i.e. galaxy clusters and stars for spherical setups, jets and disks for cylindrical setups). We could leave it up to each of these systems to implement these conversions on their own but I see them repeated so many times elsewhere it might be better to centralize that code in one place. I'm not set on including these conversions in Parthenon at the moment but still thinking about it. We might also include conversions for vectors. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I see. No I think that makes sense. As I comment below, we may also want it for vis tools. It would be better if, for example, Paraview could automatically visualize simulations done in spherical coordinates. So we might want to standardize some functions that always map from whatever coordinate system we're in to Cartesian. |
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//---------------------------------------- | ||
// h*v, h*f, dh*vd*, etc. | ||
// These might only be needed for viscocity and conduction and so might exist downstream | ||
//---------------------------------------- | ||
// TODO | ||
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//---------------------------------------- | ||
// Position to Cell index | ||
//---------------------------------------- | ||
KOKKOS_INLINE_FUNCTION | ||
void Xtoijk(const Real &x, const Real &y, const Real &z, int &i, int &j, int &k) const { | ||
i = static_cast<int>( | ||
std::floor((x - xmin_[0]) / dx_[0])) + | ||
istart_[0]; | ||
j = (ndim_ > 1) ? static_cast<int>(std::floor( | ||
(y - xmin_[1]) / dx_[1])) + | ||
istart_[1] | ||
: istart_[1]; | ||
k = (ndim_ > 2) ? static_cast<int>(std::floor( | ||
(z - xmin_[2]) / dx_[2])) + | ||
istart_[2] | ||
: istart_[2]; | ||
} | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I have not had good success making the ternary operator vectorize. Maybe we either switch this to using masks or we split it into 3 functions? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Also this appears to be for cell centers only? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This implementation was lifted from an inline function for My very outdated experience on Kepler GPUs was that ternary operators had less branch splitting, so I also default to using ternary operators. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
👍
It's not a huge deal either way, but I was thinking of CPUs when I made the comment, not GPUs. My experience is that GPUs are much better at handling ternary/branching than CPUs. |
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const std::array<Real, 3> &GetXmin() const { return xmin_; } | ||
const std::array<int, 3> &GetStartIndex() const { return istart_; } | ||
const char *Name() const { return name_; } | ||
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private: | ||
std::array<int, 3> istart_; | ||
std::array<Real, 3> xmin_, dx_, area_; | ||
int ndim_; | ||
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Real cell_volume_; | ||
constexpr static const char *name_ = "UniformCartesian"; | ||
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if coordinate systems are going to compile-time only, maybe we drop coord from the input deck entirely?