#
unique_id_filter.append('runtime.semi_lagrangian')
jg.runtime.semi_lagrangian_iterations = 2
jg.runtime.semi_lagrangian_convergence_threshold = -1
jg.parallelization.max_wallclock_seconds = max_wallclock_seconds
for tsm in ts_methods[1:]:
if 'ln_erk' in tsm[0]:
SetupFDCMethods(jg)
else:
SetupSpectralMethods(jg)
for idx in range(0, timelevels): #, phys_res in phys_res_list:
jg.runtime.timestep_size = timestep_sizes[idx]
jg.runtime.timestepping_method = tsm[0]
jg.runtime.timestepping_order = tsm[1]
jg.runtime.timestepping_order2 = tsm[2]
jg.runtime.space_res_physical = -1
jg.runtime.space_res_spectral = phys_res_list[idx]
print("id dt Nmodes ")
print(idx, jg.runtime.timestep_size, jg.runtime.space_res_physical)
jg.gen_jobscript_directory()
# Write compile script
jg.write_compilecommands()
pspace.num_ranks = 1
pspace.setup()
jg.setup_parallelization([pspace, ptime])
# Use 10 minutes per default to generate plans
jg.parallelization.max_wallclock_seconds = 60 * 10
# Set simtime to 0
#jg.runtime.max_simulation_time = 0
# No output
jg.runtime.output_timestep_size = -1
jg.runtime.output_filename = "-"
jobdir = 'job_plan_' + jg.getUniqueID()
jg.gen_jobscript_directory(jobdir)
# Write compile script
jg.write_compilecommands("./compile_platform_" + jg.platforms.platform_id +
".sh")
print("")
print("Timestepping methods:")
m = [i[0] for i in ts_methods[1:]]
m.sort()
for i in m:
print(i)
print("")
p.runtime.load_from_dict(tsm[4])
for pspace_num_cores_per_rank, pspace_num_threads_per_rank, p.runtime.timestep_size in product(
params_pspace_num_cores_per_rank,
params_pspace_num_threads_per_rank,
[params_timestep_sizes_explicit[0]]):
pspace = JobParallelizationDimOptions('space')
pspace.num_cores_per_rank = pspace_num_cores_per_rank
pspace.num_threads_per_rank = pspace_num_threads_per_rank
pspace.num_ranks = 1
pspace.setup()
p.setup_parallelization([pspace, ptime])
# Use 10 minutes per default to generate plans
p.parallelization.max_wallclock_seconds = 60 * 10
# Set simtime to 0
p.runtime.max_simulation_time = 0
# No output
p.runtime.output_timestep_size = -1
p.runtime.output_filename = "-"
jobdir = 'job_plan_' + p.getUniqueID()
p.gen_jobscript_directory(jobdir)
# Write compile script
p.write_compilecommands("./compile_platform_" + p.platforms.platform_id +
".sh")
params_timestep_sizes = params_timestep_sizes_explicit_
elif 'l_irk' in tsm_name or 'lg_irk' in tsm_name:
params_timestep_sizes = params_timestep_sizes_implicit_
elif '_sl' in tsm_name:
params_timestep_sizes = params_timestep_sizes_sl_
else:
print("Unable to identify time stepping method " + tsm_name)
sys.exit(1)
for (pspace_num_cores_per_rank, pspace_num_threads_per_rank,
p.runtime.timestep_size) in product(
params_pspace_num_cores_per_rank,
params_pspace_num_threads_per_rank, params_timestep_sizes):
pspace = JobParallelizationDimOptions('space')
pspace.num_cores_per_rank = pspace_num_cores_per_rank
pspace.num_threads_per_rank = pspace_num_threads_per_rank
pspace.num_ranks = 1
pspace.setup()
p.setup_parallelization([pspace])
if verbose:
pspace.print()
p.parallelization.print()
p.parallelization.max_wallclock_seconds = estimateWallclockTime(p)
p.gen_jobscript_directory('job_bench_' + p.getUniqueID())
p.write_compilecommands()
