parallel#

class ansys.fluent.core.solver.tui_231.main_menu.define.models.dpm.parallel(path, service)#

Bases: TUIMenu

Enters the parallel menu to set parameters for parallel DPM calculations.

Methods:

enable_workpile(*args, **kwargs)

Turns on/off particle workpile algorithm.

fix_source_term_accumulation_order(*args, ...)

Enforce deterministic order of source term accumulation.

hybrid_2domain(*args, **kwargs)

Enables/disables the use of a second domain for DPM particle tracking.

hybrid_collision_model(*args, **kwargs)

An EXPERIMENTAL feature to allow 'hybrid' DPM parallel tracking with the collision / coalescence model.

hybrid_collision_unidirectional(*args, **kwargs)

A faster, yet potentially somewhat less accurate, modification to the beta feature that allows 'hybrid' DPM parallel tracking with the collision / coalescence model.

hybrid_collision_variant(*args, **kwargs)

Further reduce the residual risk of dead-locks in the experimental feature that allows 'hybrid' DPM parallel tracking with the collision / coalescence model.

hybrid_workpile(*args, **kwargs)

Optimize multi-thread load balancing within each partition in hybrid-parallel DPM tracking.

n_threads(*args, **kwargs)

Sets the number of processors to use for DPM.

report(*args, **kwargs)

Prints particle workpile statistics.

use_hybrid(*args, **kwargs)

Specifies that the calculations are performed using multicore cluster computing or shared-memory machines.

use_message_passing(*args, **kwargs)

Specifies that the calculations are performed using cluster computing or shared-memory machines.

use_shared_memory(*args, **kwargs)

Specifies that the calculations are performed on shared-memory multiprocessor machines.

Classes:

expert(path, service)

Enters the menu for expert DPM parallel text commands.
enable_workpile(*args, **kwargs)#

Turns on/off particle workpile algorithm. This option is only available when the define/models/dpm/parallel/use-shared-memory option is selected.

class expert(path, service)#

Bases: TUIMenu

Enters the menu for expert DPM parallel text commands.

Methods:

partition_method_hybrid_2domain(*args, **kwargs)

Enables/disables a partitioning method that is more granular and can yield faster calculations (especially for cases that are running on a low to moderate number of processors).
partition_method_hybrid_2domain(*args, **kwargs)#

Enables/disables a partitioning method that is more granular and can yield faster calculations (especially for cases that are running on a low to moderate number of processors). This partitioning method is only applied when you use the DPM domain for the hybrid parallel DPM tracking mode (that is, when you have enabled the define/models/dpm/parallel/hybrid-2domain? text command).

fix_source_term_accumulation_order(*args, **kwargs)#

Enforce deterministic order of source term accumulation.

hybrid_2domain(*args, **kwargs)#

Enables/disables the use of a second domain for DPM particle tracking.

hybrid_collision_model(*args, **kwargs)#

An EXPERIMENTAL feature to allow ‘hybrid’ DPM parallel tracking with the collision / coalescence model.

hybrid_collision_unidirectional(*args, **kwargs)#

A faster, yet potentially somewhat less accurate, modification to the beta feature that allows ‘hybrid’ DPM parallel tracking with the collision / coalescence model.

hybrid_collision_variant(*args, **kwargs)#

Further reduce the residual risk of dead-locks in the experimental feature that allows ‘hybrid’ DPM parallel tracking with the collision / coalescence model.

hybrid_workpile(*args, **kwargs)#

Optimize multi-thread load balancing within each partition in hybrid-parallel DPM tracking.

n_threads(*args, **kwargs)#

Sets the number of processors to use for DPM. This option is only available when the define/models/dpm/parallel/enable-workpile? option is enabled.

report(*args, **kwargs)#

Prints particle workpile statistics. This option is only available when the define/models/dpm/parallel/enable-workpile? option is enabled.

use_hybrid(*args, **kwargs)#

Specifies that the calculations are performed using multicore cluster computing or shared-memory machines. This option works in conjunction withopenmpi for a dynamic load balancing without migration of cells.

use_message_passing(*args, **kwargs)#

Specifies that the calculations are performed using cluster computing or shared-memory machines. With this option, the compute node processes themselves perform the particle work on their local partitions and particle migration to other compute nodes is implemented using message passing primitives.

use_shared_memory(*args, **kwargs)#

Specifies that the calculations are performed on shared-memory multiprocessor machines.