parsl.executors.ThreadPoolExecutor

class parsl.executors.ThreadPoolExecutor(label: str = 'threads', max_threads: int = 2, thread_name_prefix: str = '', storage_access: List[Any] = None, working_dir: Optional[str] = None, managed: bool = True)

A thread-based executor.

Parameters:

• max_threads (int) – Number of threads. Default is 2.
• thread_name_prefix (string) – Thread name prefix (only supported in python v3.6+).
• storage_access (list of Staging) – Specifications for accessing data this executor remotely.
• managed (bool) – If True, parsl will control dynamic scaling of this executor, and be responsible. Otherwise, this is managed by the user.

__init__(label: str = 'threads', max_threads: int = 2, thread_name_prefix: str = '', storage_access: List[Any] = None, working_dir: Optional[str] = None, managed: bool = True)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(label, max_threads, …)	Initialize self.
scale_in(blocks)	Scale in the number of active blocks by specified amount.
scale_out([workers])	Scales out the number of active workers by 1.
shutdown([block])	Shutdown the ThreadPool.
start()	Start the executor.
submit(*args, **kwargs)	Submits work to the thread pool.

Attributes

run_dir	Path to the run directory.
scaling_enabled	Specify if scaling is enabled.