# Floating-point Settings¶

For applications that need to control CPU-specific settings for floating-point computations, there are two ways to propagate desired settings to tasks executed by oneAPI Threading Building Blocks task scheduler:

• When a task_arena or the task scheduler for a given application thread are initialized, they capture the current floating-point settings of the thread;

• The class task_group_context has a method to capture the current floating-point settings.

By default, worker threads use the floating-point settings captured during initialization of an application thread’s implicit arena or explicit task_arena. These settings are applied to all parallel computations within the task_arena or started by the application thread, until that thread terminates its task scheduler instance. If the thread later re-initializes the task scheduler, new settings are captured.

For finer control over floating point behavior, a thread may capture the current settings in a task group context. It can be done at context creation if a special flag is passed to the constructor:

task_group_context ctx( task_group_context::isolated,


or by a call to the method capture_fp_settings:

task_group_context ctx;
ctx.capture_fp_settings();


The task group context can then be passed to most TBB parallel algorithms (including flow::graph) to ensure that all tasks related to this algorithm use the specified floating-point settings. It is possible to execute parallel algorithms with different floating-point settings captured to separate contexts, even at the same time.

Floating-point settings captured to a task group context prevail over the settings captured during task scheduler initialization. Thus if a context is passed to a parallel algorithm then floating-point settings captured to the context are used. Otherwise, if floating-point settings are not captured to the context, or a context is not explicitly specified, then the settings captured during task scheduler initialization are used.

In a nested call to a parallel algorithm not using a task group context with explicitly captured floating-point settings, the settings from the outer level are used. If neither of the outer level contexts captured floating-point settings then the settings captured during task scheduler initialization are used.

It is guaranteed that:

• Floating-point settings captured to a task group context or at the moment of task scheduler initialization are applied to all tasks executed by the task scheduler.

• An invocation of an TBB parallel algorithm does not visibly modify the floating-point settings of the calling thread, even if the algorithm is executed with different settings.

Caution

The above guarantees only apply in the following conditions:

• The user code inside a task either does not change floating-point settings, or reverts any modifications and restores previous settings before the end of the task.

• TBB task scheduler observers are not used to set or modify floating point settings.

Otherwise, the stated guarantees are not valid and the behavior related to floating-point settings is undefined.