fix: floating point number practically causing an infinite loop

(cherry picked from commit 277a6b4a3c3a017e16ba3c6238349491e38b4792)

GPUSimulators/Simulator.py

@@ -157,7 +157,7 @@ class BaseSimulator(object):
         self.num_substeps = num_substeps
         
         #Handle autotuning block size
-        if (self.context.autotuner):
+        if self.context.autotuner:
             peak_configuration = self.context.autotuner.get_peak_performance(self.__class__)
             block_width = int(peak_configuration["block_width"])
             block_height = int(peak_configuration["block_height"])
@@ -202,22 +202,22 @@ class BaseSimulator(object):
         t_end = t_start + t
         
         update_dt = True
-        if (dt is not None):
+        if dt is not None:
             update_dt = False
             self.dt = dt
         
-        with tqdm(total=t_end) as pbar:
-            while(self.simTime() < t_end):
+        for _ in tqdm(range(math.ceil(t_end / self.dt))):
             # Update dt every 100 timesteps and cross your fingers it works
             # for the next 100
-                if (update_dt and (self.simSteps() % 100 == 0)):
+            # TODO this is probably broken now after fixing the "infinite" loop
+            if update_dt and (self.simSteps() % 100 == 0):
                 self.dt = self.computeDt()*self.cfl_scale
 
             # Compute timestep for "this" iteration (i.e., shorten last timestep)
             current_dt = np.float32(min(self.dt, t_end-self.simTime()))
 
             # Stop if end reached (should not happen)
-                if (current_dt <= 0.0):
+            if current_dt <= 0.0:
                 self.logger.warning("Timestep size {:d} is less than or equal to zero!".format(self.simSteps()))
                 break
 
@@ -225,7 +225,6 @@ class BaseSimulator(object):
             self.step(current_dt)
 
             #Print info
-                pbar.update(current_dt)
             # print_string = printer.getPrintString(self.simTime() - t_start)
             # if (print_string):
             #     self.logger.info("%s: %s", self, print_string)

Jobs/job_lumi.slrum

@@ -19,18 +19,18 @@ Mydir=/project/project_4650000xx
 Myapplication=${Mydir}/FiniteVolumeGPU_hip/mpiTesting.py
 
 #modules
-ml LUMI/23.03 partition/G
+ml LUMI/24.03 partition/G
 ml lumi-container-wrapper
-ml cray-python/3.9.13.1
-ml rocm/5.2.3
+ml cray-python/3.11.7
+ml rocm/6.2.2
 
 ml craype-accel-amd-gfx90a
-ml cray-mpich/8.1.27
+ml cray-mpich/8.1.29
 
 export PATH="/project/project_4650000xx/FiniteVolumeGPU_hip/MyCondaEnv/bin:$PATH"
 
 #missing library
-export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.27/ofi/cray/14.0/lib-abi-mpich:$LD_LIBRARY_PATH
+export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.29/ofi/cray/17.0/lib-abi-mpich:$LD_LIBRARY_PATH
 
 #Binding mask
 bind_mask="0x${fe}000000000000,0x${fe}00000000000000,0x${fe}0000,0x${fe}000000,0x${fe},0x${fe}00,0x${fe}00000000,0x${fe}0000000000"

README.md

@@ -5,13 +5,13 @@ This is a HIP version of the [FiniteVolume code](https://github.com/babrodtk/Fin
 ## Setup on LUMI-G
 Here is a step-by-step guide on installing packages on LUMI-G
 
-### Step 1: Install rocm-5.2.5 with Easybuild
+### Step 1: Install rocm-5.4.6 with Easybuild
 ```
 export EBU_USER_PREFIX=/project/project_xxxxxx/EasyBuild
 ml LUMI/24.03 partition/G
 ml EasyBuild-user
 export PYTHONIOENCODING=utf-8
-eb rocm-5.2.5.eb -r
+eb rocm-5.4.6.eb -r
 ```
 
 ### Step 2: run conda-container

conda_environment_lumi.yml

@@ -5,7 +5,7 @@ channels:
 - conda-forge
 
 dependencies:
-- python=3.11.11
+- python=3.11.7
 - pip
 - numpy
 - mpi4py