parsl.executors.swift_t.TurbineExecutor

class parsl.executors.swift_t.TurbineExecutor(label='turbine', storage_access=None, working_dir=None, managed=True)

The Turbine executor.

Bypass the Swift/T language and run on top off the Turbine engines in an MPI environment.

Here is a diagram

             |  Data   |  Executor   |   IPC      | External Process(es)
             |  Flow   |             |            |
        Task | Kernel  |             |            |
      +----->|-------->|------------>|outgoing_q -|-> Worker_Process
      |      |         |             |            |    |         |
Parsl<---Fut-|         |             |            |  result   exception
          ^  |         |             |            |    |         |
          |  |         |   Q_mngmnt  |            |    V         V
          |  |         |    Thread<--|incoming_q<-|--- +---------+
          |  |         |      |      |            |
          |  |         |      |      |            |
          +----update_fut-----+

__init__(label='turbine', storage_access=None, working_dir=None, managed=True)

Initialize the thread pool.

Trying to implement the emews model.

Methods

__init__([label, storage_access, …])	Initialize the thread pool.
create_monitoring_info(status)	Create a monitoring message for each block based on the poll status.
handle_errors(error_handler, status)	This method is called by the error management infrastructure after a status poll.
monitor_resources()	Should resource monitoring happen for tasks on running on this executor?
scale_in(blocks)	Scale in the number of active blocks by specified amount.
scale_out([blocks])	Scales out the number of active workers by 1.
set_bad_state_and_fail_all(exception)	Allows external error handlers to mark this executor as irrecoverably bad and cause all tasks submitted to it now and in the future to fail.
shutdown()	Shutdown method, to kill the threads and workers.
start()	Start the executor.
status()	Return the status of all jobs/blocks currently known to this executor.
submit(func, *args, **kwargs)	Submits work to the the outgoing_q.
weakref_cb([q])	We do not use this yet.

Attributes

bad_state_is_set	Returns true if this executor is in an irrecoverable error state.
error_management_enabled	Indicates whether worker error management is supported by this executor.
executor_exception	Returns an exception that indicates why this executor is in an irrecoverable state.
hub_address	Address to the Hub for monitoring.
hub_port	Port to the Hub for monitoring.
provider
run_dir	Path to the run directory.
scaling_enabled	Specify if scaling is enabled.
status_polling_interval	Returns the interval, in seconds, at which the status method should be called.
tasks	Contains a dictionary mapping task IDs to the corresponding Future objects for all tasks that have been submitted to this executor.