Bump Parthenon and Kokkos

.github/workflows/ci.yml

@@ -22,7 +22,7 @@ jobs:
         parallel: ['serial', 'mpi']
     runs-on: [self-hosted, A100]
     container:
-      image: ghcr.io/parthenon-hpc-lab/cuda11.6-mpi-hdf5-ascent
+      image: ghcr.io/parthenon-hpc-lab/cuda12.1
       # map to local user id on CI  machine to allow writing to build cache
       options: --user 1001
     steps:
@@ -56,6 +56,6 @@ jobs:
             build/tst/regression/outputs/aniso_therm_cond_gauss_conv/cond.png
             build/tst/regression/outputs/field_loop/field_loop.png
             build/tst/regression/outputs/riemann_hydro/shock_tube.png
-            build/tst/regression/outputs/turbulence/parthenon.hst
+            build/tst/regression/outputs/turbulence/parthenon.out1.hst
           retention-days: 3
 

CHANGELOG.md

@@ -12,13 +12,21 @@
 ### Fixed (not changing behavior/API/variables/...)
 
 ### Infrastructure
+- [[PR 114]](https://github.com/parthenon-hpc-lab/athenapk/pull/114) Bump Parthenon 24.08 and Kokkos to 4.4.00
 - [[PR 112]](https://github.com/parthenon-hpc-lab/athenapk/pull/112) Add dev container configuration
 - [[PR 105]](https://github.com/parthenon-hpc-lab/athenapk/pull/105) Bump Parthenon to latest develop (2024-03-13)
 - [[PR 84]](https://github.com/parthenon-hpc-lab/athenapk/pull/84) Added `CHANGELOG.md`
 
 ### Removed (removing behavior/API/varaibles/...)
 
 ### Incompatibilities (i.e. breaking changes)
+- [[PR 114]](https://github.com/parthenon-hpc-lab/athenapk/pull/114) Bump Parthenon 24.08 and Kokkos to 4.4.00
+  - Changed signature of `UserWorkBeforeOutput` to include `SimTime` as last paramter
+  - Fixes bitwise idential restarts for AMR simulations (the derefinement counter is now included)
+  - Order of operations in flux-correction has changed (expect round-off error differences to previous results for AMR sims)
+  - History outputs now carry the output block number, i.e., a file previously called parthenon.hst might now be called parthenon.out1.hst
+  - History outputs now contain two additional columns (cycle number and meshblock counts), which changes/shifts the column indices (hint: use the column headers to parse the contents and do not rely on fixed indices as they may also vary between different pgen due to custom/pgen-dependent content in the history file)
+  - Given the introduction of a forrest of tree (rather than a single tree), the logical locations are each meshblock (`pmb->loc`) are now local to the tree and not global any more. To recover the original global index use `auto loc = pmb->pmy_mesh->Forest().GetLegacyTreeLocation(pmb->loc);`
 - [[PR 97]](https://github.com/parthenon-hpc-lab/athenapk/pull/97)
   - Removes original `schure.cooling` cooling curve as it had unknown origin.
   - To avoid confusion, only cooling table for a single solar metallicity are supported

src/pgen/cloud.cpp

@@ -229,9 +229,10 @@ void InflowWindX2(std::shared_ptr<MeshBlockData<Real>> &mbd, bool coarse) {
   const auto Bx_ = Bx;
   const auto By_ = By;
   const auto Bz_ = Bz;
+  const bool fine = false;
   pmb->par_for_bndry(
       "InflowWindX2", nb, IndexDomain::inner_x2, parthenon::TopologicalElement::CC,
-      coarse, KOKKOS_LAMBDA(const int, const int &k, const int &j, const int &i) {
+      coarse, fine, KOKKOS_LAMBDA(const int &, const int &k, const int &j, const int &i) {
         cons(IDN, k, j, i) = rho_wind_;
         cons(IM2, k, j, i) = mom_wind_;
         cons(IEN, k, j, i) = rhoe_wind_ + 0.5 * mom_wind_ * mom_wind_ / rho_wind_;

src/pgen/cluster.cpp

@@ -812,7 +812,8 @@ void ProblemGenerator(Mesh *pmesh, ParameterInput *pin, MeshData<Real> *md) {
   }
 }
 
-void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin) {
+void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin,
+                          const parthenon::SimTime & /*tm*/) {
   // get hydro
   auto pkg = pmb->packages.Get("Hydro");
   const Real gam = pin->GetReal("hydro", "gamma");

src/pgen/pgen.hpp

@@ -99,7 +99,8 @@ using namespace parthenon::driver::prelude;
 void ProblemInitPackageData(ParameterInput *pin, parthenon::StateDescriptor *pkg);
 void InitUserMeshData(ParameterInput *pin);
 void ProblemGenerator(Mesh *pmesh, ParameterInput *pin, MeshData<Real> *md);
-void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin);
+void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin,
+                          const parthenon::SimTime &tm);
 void ClusterUnsplitSrcTerm(MeshData<Real> *md, const parthenon::SimTime &tm,
                            const Real beta_dt);
 void ClusterSplitSrcTerm(MeshData<Real> *md, const parthenon::SimTime &tm,
@@ -120,7 +121,8 @@ void ProblemGenerator(Mesh *pm, parthenon::ParameterInput *pin, MeshData<Real> *
 void ProblemInitPackageData(ParameterInput *pin, parthenon::StateDescriptor *pkg);
 void Driving(MeshData<Real> *md, const parthenon::SimTime &tm, const Real dt);
 void SetPhases(MeshBlock *pmb, ParameterInput *pin);
-void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin);
+void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin,
+                          const parthenon::SimTime &tm);
 void Cleanup();
 } // namespace turbulence
 

src/pgen/turbulence.cpp

@@ -450,7 +450,8 @@ void Driving(MeshData<Real> *md, const parthenon::SimTime &tm, const Real dt) {
   Perturb(md, dt);
 }
 
-void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin) {
+void UserWorkBeforeOutput(MeshBlock *pmb, ParameterInput *pin,
+                          const parthenon::SimTime & /*tm*/) {
   auto hydro_pkg = pmb->packages.Get("Hydro");
 
   // Store (common) acceleration field in spectral space

src/utils/few_modes_ft.cpp

@@ -9,18 +9,15 @@
 
 // C++ headers
 #include <random>
-#include <utility>
 
 // Parthenon headers
 #include "basic_types.hpp"
 #include "config.hpp"
 #include "globals.hpp"
 #include "kokkos_abstraction.hpp"
-#include "mesh/domain.hpp"
 #include "mesh/meshblock_pack.hpp"
 
 // AthenaPK headers
-#include "../main.hpp"
 #include "few_modes_ft.hpp"
 #include "utils/error_checking.hpp"
 
@@ -130,9 +127,12 @@ void FewModesFT::SetPhases(MeshBlock *pmb, ParameterInput *pin) {
   const auto nx2 = pmb->block_size.nx(X2DIR);
   const auto nx3 = pmb->block_size.nx(X3DIR);
 
-  const auto gis = pmb->loc.lx1() * pmb->block_size.nx(X1DIR);
-  const auto gjs = pmb->loc.lx2() * pmb->block_size.nx(X2DIR);
-  const auto gks = pmb->loc.lx3() * pmb->block_size.nx(X3DIR);
+  // Need to use legacy locations (which are global) because locations now are local
+  // to the tree, which results in inconsistencies for meshes with multiple trees.
+  const auto loc = pmb->pmy_mesh->Forest().GetLegacyTreeLocation(pmb->loc);
+  const auto gis = loc.lx1() * pmb->block_size.nx(X1DIR);
+  const auto gjs = loc.lx2() * pmb->block_size.nx(X2DIR);
+  const auto gks = loc.lx3() * pmb->block_size.nx(X3DIR);
 
   // make local ref to capure in lambda
   const auto num_modes = num_modes_;

tst/regression/test_suites/aniso_therm_cond_gauss_conv/aniso_therm_cond_gauss_conv.py

@@ -98,6 +98,10 @@ def Prepare(self, parameters, step):
             "parthenon/output0/id=%s" % outname,
             "hydro/gamma=2.0",
             "parthenon/time/tlim=%f" % tlim,
+            # Work around for RKL2 integrator (that, by default, does not limit the
+            # timestep, which in newer versions of Parthenon results in triggering
+            # a fail-safe given the default init value of numeric_limits max.
+            "parthenon/time/dt_ceil=%f" % tlim,
             "diffusion/conduction=%s" % conduction,
             "diffusion/thermal_diff_coeff_code=0.25",
             "diffusion/integrator=%s" % int_cfg,
@@ -137,10 +141,15 @@ def get_ref(x, Bx, field_cfg):
             outname = get_outname(all_cfgs[step])
             data_filename = f"{parameters.output_path}/parthenon.{outname}.final.phdf"
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
             zz, yy, xx = data_file.GetVolumeLocations()
             mask = yy == yy[0]
-            temp = prim[4][mask]
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
+            temp = components["prim_pressure"].ravel()[
+                mask
+            ]  # because of gamma = 2.0 and rho = 1 -> p = e = T
             x = xx[mask]
             res, field_cfg, int_cfg = all_cfgs[step]
             row = res_cfgs.index(res)

tst/regression/test_suites/aniso_therm_cond_ring_conv/aniso_therm_cond_ring_conv.py

@@ -35,7 +35,6 @@
 
 class TestCase(utils.test_case.TestCaseAbs):
     def Prepare(self, parameters, step):
-
         assert parameters.num_ranks <= 4, "Use <= 4 ranks for diffusion test."
 
         res = res_cfgs[step - 1]
@@ -78,8 +77,14 @@ def Analyse(self, parameters):
         for res in res_cfgs:
             data_filename = f"{parameters.output_path}/parthenon.{res}.final.phdf"
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
-            T = prim[4]  # because of gamma = 2.0 and rho = 1 -> p = e = T
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
+            T = components[
+                "prim_pressure"
+            ].ravel()  # because of gamma = 2.0 and rho = 1 -> p = e = T
+
             zz, yy, xx = data_file.GetVolumeLocations()
             r = np.sqrt(xx**2 + yy**2)
 

tst/regression/test_suites/aniso_therm_cond_ring_multid/aniso_therm_cond_ring_multid.py

@@ -35,7 +35,6 @@
 
 class TestCase(utils.test_case.TestCaseAbs):
     def Prepare(self, parameters, step):
-
         assert parameters.num_ranks <= 4, "Use <= 4 ranks for diffusion test."
 
         # 2D reference case again
@@ -110,8 +109,13 @@ def Analyse(self, parameters):
         for step in range(1, 5):
             data_filename = f"{parameters.output_path}/parthenon.{step}.final.phdf"
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
-            T = prim[4]  # because of gamma = 2.0 and rho = 1 -> p = e = T
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
+            T = components[
+                "prim_pressure"
+            ].ravel()  # because of gamma = 2.0 and rho = 1 -> p = e = T
             zz, yy, xx = data_file.GetVolumeLocations()
             if step == 1 or step == 2:
                 r = np.sqrt(xx**2 + yy**2)

tst/regression/test_suites/cluster_hse/cluster_hse.py

@@ -211,21 +211,15 @@ def AnalyseInitPert(self, parameters):
         # flatten array as prim var are also flattended
         cell_vol = cell_vol.ravel()
 
-        prim = data_file.Get("prim")
-
-        # FIXME: For now this is hard coded - a component mapping should be done by phdf
-        prim_col_dict = {
-            "velocity_1": 1,
-            "velocity_2": 2,
-            "velocity_3": 3,
-            "magnetic_field_1": 5,
-            "magnetic_field_2": 6,
-            "magnetic_field_3": 7,
-        }
-
-        vx = prim[prim_col_dict["velocity_1"]]
-        vy = prim[prim_col_dict["velocity_2"]]
-        vz = prim[prim_col_dict["velocity_3"]]
+        # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+        components = data_file.GetComponents(
+            data_file.Info["ComponentNames"], flatten=False
+        )
+        rho = components["prim_density"].ravel()
+        vx = components["prim_velocity_1"].ravel()
+        vy = components["prim_velocity_2"].ravel()
+        vz = components["prim_velocity_3"].ravel()
+        pres = components["prim_pressure"].ravel()
 
         # volume weighted rms velocity
         rms_v = np.sqrt(
@@ -243,9 +237,9 @@ def AnalyseInitPert(self, parameters):
                 f"Expected {self.sigma_v.in_units('code_velocity')} but got {rms_v}\n"
             )
 
-        bx = prim[prim_col_dict["magnetic_field_1"]]
-        by = prim[prim_col_dict["magnetic_field_2"]]
-        bz = prim[prim_col_dict["magnetic_field_3"]]
+        bx = components["prim_magnetic_field_1"].ravel()
+        by = components["prim_magnetic_field_2"].ravel()
+        bz = components["prim_magnetic_field_3"].ravel()
 
         # volume weighted rms magnetic field
         rms_b = np.sqrt(
@@ -394,11 +388,11 @@ def rk4(f, y0, T):
 
         # Prepare two array of R leading inwards and outwards from the virial radius, to integrate
         R_in = unyt.unyt_array(
-            np.hstack((R[R < self.R_fix], self.R_fix.in_units("code_length"))),
+            np.hstack((R[R < self.R_fix].v, self.R_fix.in_units("code_length").v)),
             "code_length",
         )
         R_out = unyt.unyt_array(
-            np.hstack((self.R_fix.in_units("code_length"), R[R > self.R_fix])),
+            np.hstack((self.R_fix.in_units("code_length").v, R[R > self.R_fix].v)),
             "code_length",
         )
 
@@ -412,7 +406,7 @@ def rk4(f, y0, T):
         # Put the two pieces of P together
         P = unyt.unyt_array(
             np.hstack(
-                (P_in[:-1].in_units("dyne/cm**2"), P_out[1:].in_units("dyne/cm**2"))
+                (P_in[:-1].in_units("dyne/cm**2").v, P_out[1:].in_units("dyne/cm**2").v)
             ),
             "dyne/cm**2",
         )
@@ -537,7 +531,7 @@ def rk4(f, y0, T):
 
         # Compare the initial output to the analytic model
         def analytic_gold(Z, Y, X, analytic_var):
-            r = np.sqrt(X**2 + Y**2 + Z**2)
+            r = unyt.unyt_array(np.sqrt(X**2 + Y**2 + Z**2), "code_length")
             analytic_interp = unyt.unyt_array(
                 np.interp(r, analytic_R, analytic_var), analytic_var.units
             )

tst/regression/test_suites/cluster_tabular_cooling/cluster_tabular_cooling.py

@@ -310,19 +310,16 @@ def zero_corrected_linf_err(gold, test):
                 analyze_status = False
 
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
-
-            # FIXME: TODO(forrestglines) For now this is hard coded - a component mapping should be done by phdf
-            prim_col_dict = {
-                "density": 0,
-                "pressure": 4,
-            }
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
 
             rho = unyt.unyt_array(
-                prim[prim_col_dict["density"], :], "code_mass*code_length**-3"
+                components["prim_density"].ravel(), "code_mass*code_length**-3"
             )
             pres = unyt.unyt_array(
-                prim[prim_col_dict["pressure"], :],
+                components["prim_pressure"].ravel(),
                 "code_mass*code_length**-1*code_time**-2",
             )
 
@@ -364,19 +361,16 @@ def zero_corrected_linf_err(gold, test):
                 analyze_status = False
 
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
-
-            # FIXME: TODO(forrestglines) For now this is hard coded - a component mapping should be done by phdf
-            prim_col_dict = {
-                "density": 0,
-                "pressure": 4,
-            }
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
 
             rho = unyt.unyt_array(
-                prim[prim_col_dict["density"]], "code_mass*code_length**-3"
+                components["prim_density"].ravel(), "code_mass*code_length**-3"
             )
             pres = unyt.unyt_array(
-                prim[prim_col_dict["pressure"]],
+                components["prim_pressure"].ravel(),
                 "code_mass*code_length**-1*code_time**-2",
             )
 

tst/regression/test_suites/field_loop/field_loop.py

@@ -135,13 +135,13 @@ def Analyse(self, parameters):
 
         for step in range(len(all_cfgs)):
             outname = get_outname(all_cfgs[step])
-            data_filename = f"{parameters.output_path}/{outname}.hst"
+            data_filename = f"{parameters.output_path}/{outname}.out1.hst"
             data = np.genfromtxt(data_filename)
 
             res, method = all_cfgs[step]
             row = method_cfgs.index(method)
-            p[row, 0].plot(data[:, 0], data[:, 8] / data[0, 8], label=outname)
-            p[row, 1].plot(data[:, 0], data[:, 10], label=outname)
+            p[row, 0].plot(data[:, 0], data[:, 10] / data[0, 10], label=outname)
+            p[row, 1].plot(data[:, 0], data[:, 12], label=outname)
 
         p[0, 0].set_title("Emag(t)/Emag(0)")
         p[0, 1].set_title("rel DivB")

tst/regression/test_suites/riemann_hydro/riemann_hydro.py

@@ -58,7 +58,6 @@
 
 class TestCase(utils.test_case.TestCaseAbs):
     def Prepare(self, parameters, step):
-
         method, init_cond = all_cfgs[step - 1]
 
         nx1 = method["nx1"]
@@ -126,10 +125,13 @@ def Analyse(self, parameters):
 
             data_filename = f"{parameters.output_path}/parthenon.{step + 1}.final.phdf"
             data_file = phdf.phdf(data_filename)
-            prim = data_file.Get("prim")
-            rho = prim[0]
-            vx = prim[1]
-            pres = prim[4]
+            # Flatten=true (default) is currently (Sep 24) broken so we manually flatten
+            components = data_file.GetComponents(
+                data_file.Info["ComponentNames"], flatten=False
+            )
+            rho = components["prim_density"].ravel()
+            vx = components["prim_velocity_1"].ravel()
+            pres = components["prim_pressure"].ravel()
             zz, yy, xx = data_file.GetVolumeLocations()
 
             label = (