Mojo function

parallelize

fn def parallelize[origins: OriginSet, //, func: def(Int) capturing thin -> None](num_work_items: Int)

Executes func(0) ... func(num_work_items-1) as sub-tasks in parallel, and returns when all are complete.

Parameters:

• origins (OriginSet): The capture origins.
• func (def(Int) capturing thin -> None): The function to invoke.

Args:

• num_work_items (Int): Number of parallel tasks.

fn def parallelize[origins: OriginSet, //, func: def(Int) capturing thin -> None](num_work_items: Int, num_workers: Int)

Executes func(0) ... func(num_work_items-1) as sub-tasks in parallel, and returns when all are complete.

Parameters:

• origins (OriginSet): The capture origins.
• func (def(Int) capturing thin -> None): The function to invoke.

Args:

• num_work_items (Int): Number of parallel tasks.
• num_workers (Int): The number of workers to use for execution.

fn def parallelize[FuncType: def(Int) -> None](func: FuncType, num_work_items: Int)

Executes func(0) ... func(num_work_items-1) as sub-tasks in parallel, and returns when all are complete.

Parameters:

• FuncType (def(Int) -> None): The body function type.

Args:

• func (FuncType): The closure carrying the captured state of the body function.
• num_work_items (Int): Number of parallel tasks.

fn def parallelize[FuncType: def(Int) -> None](func: FuncType, num_work_items: Int, num_workers: Int)

Executes func(0) ... func(num_work_items-1) as sub-tasks in parallel, and returns when all are complete.

Parameters:

• FuncType (def(Int) -> None): The body function type.

Args:

• func (FuncType): The closure carrying the captured state of the body function.
• num_work_items (Int): Number of parallel tasks.
• num_workers (Int): The number of workers to use for execution.