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Fixed multigpu for euler

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This commit is contained in:
André R. Brodtkorb
2018-11-29 14:33:13 +01:00
parent b03afc3d81
commit f9f0f20df8
7 changed files with 463 additions and 637 deletions
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18
GPUSimulators/Simulator.py
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@@ -134,6 +134,7 @@ class BaseSimulator(object):
self.ny = np.int32(ny)
self.dx = np.float32(dx)
self.dy = np.float32(dy)
self.dt = None
self.cfl_scale = cfl_scale
self.num_substeps = num_substeps
@@ -174,24 +175,27 @@ class BaseSimulator(object):
t_start = self.simTime()
t_end = t_start + t
update_dt = False
if (dt == None):
update_dt = True
update_dt = True
if (dt is not None):
update_dt = False
self.dt = dt
while(self.simTime() < t_end):
# Update dt every 100 timesteps and cross your fingers it works
# for the next 100
if (update_dt and (self.simSteps() % 100 == 0)):
dt = self.computeDt()*self.cfl_scale
self.dt = self.computeDt()*self.cfl_scale
# Compute timestep for "this" iteration (i.e., shorten last timestep)
dt = np.float32(min(dt, t_end-self.simTime()))
current_dt = np.float32(min(self.dt, t_end-self.simTime()))
# Stop if end reached (should not happen)
if (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
# Step forward in time
self.step(dt)
self.step(current_dt)
#Print info
print_string = printer.getPrintString(self.simTime() - t_start)