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More efficient eval_f in RBC on GPU #492

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merged 3 commits into from
Oct 8, 2024
Merged

More efficient eval_f in RBC on GPU #492

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More efficient `eval_f` in RBC on GPU
brownbaerchen Sep 26, 2024
34aa041
Merge remote-tracking branch 'upstream/master' into RBC_efficiency
brownbaerchen Sep 27, 2024
6826b5e
Merge remote-tracking branch 'upstream/master' into RBC_efficiency
brownbaerchen Oct 8, 2024
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18 changes: 11 additions & 7 deletions pySDC/implementations/problem_classes/RayleighBenard.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,20 +191,24 @@ def eval_f(self, u, *args, **kwargs):
iu, iv, iT, ip = self.index(['u', 'v', 'T', 'p'])

# evaluate implicit terms
f_impl_hat = -(self.base_change @ self.L @ u_hat.flatten()).reshape(u_hat.shape)
if not hasattr(self, '_L_T_base'):
self._L_T_base = self.base_change @ self.L
f_impl_hat = -(self._L_T_base @ u_hat.flatten()).reshape(u_hat.shape)

if self.spectral_space:
f.impl[:] = f_impl_hat
else:
f.impl[:] = self.itransform(f_impl_hat).real

# -------------------------------------------
# treat convection explicitly with dealiasing
Dx_u_hat = self.u_init_forward
for i in [iu, iv, iT]:
Dx_u_hat[i][:] = (Dx @ u_hat[i].flatten()).reshape(Dx_u_hat[i].shape)
Dz_u_hat = self.u_init_forward
for i in [iu, iv, iT]:
Dz_u_hat[i][:] = (Dz @ u_hat[i].flatten()).reshape(Dz_u_hat[i].shape)

# start by computing derivatives
if not hasattr(self, '_Dx_expanded') or not hasattr(self, '_Dz_expanded'):
self._Dx_expanded = self._setup_operator({'u': {'u': Dx}, 'v': {'v': Dx}, 'T': {'T': Dx}, 'p': {}})
self._Dz_expanded = self._setup_operator({'u': {'u': Dz}, 'v': {'v': Dz}, 'T': {'T': Dz}, 'p': {}})
Dx_u_hat = (self._Dx_expanded @ u_hat.flatten()).reshape(u_hat.shape)
Dz_u_hat = (self._Dz_expanded @ u_hat.flatten()).reshape(u_hat.shape)

padding = [self.dealiasing, self.dealiasing]
Dx_u_pad = self.itransform(Dx_u_hat, padding=padding).real
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