Abstract: Various embodiments are generally directed to techniques for partitioning parallelizable tasks into subtasks for processing. Some embodiments are particularly directed to dynamically determining chunk sizes to use in partitioning tasks, such as parallel loops or divide and conquer algorithm tasks, into subtasks based on the probability of a priority task source introducing a high-priority task. For example, a measurement signal received from a probe indicating an operational characteristic associated with a priority task source may be used to generate an estimate of the probability of a priority task source introducing a high-priority task. In such examples, the estimate may be used to determine a chunk size for a parallelizable task and the parallelizable task may be partitioned into a plurality of subtasks based on the chunk size and the subtasks may be assigned, for execution, to at least one task queue in a task pool.

Abstract: Various embodiments are generally directed to techniques for partitioning parallelizable tasks into subtasks for processing. Some embodiments are particularly directed to dynamically determining chunk sizes to use in partitioning tasks, such as parallel loops or divide and conquer algorithm tasks, into subtasks based on the probability of a priority task source introducing a high-priority task. For example, a measurement signal received from a probe indicating an operational characteristic associated with a priority task source may be used to generate an estimate of the probability of a priority task source introducing a high-priority task. In such examples, the estimate may be used to determine a chunk size for a parallelizable task and the parallelizable task may be partitioned into a plurality of subtasks based on the chunk size and the subtasks may be assigned, for execution, to at least one task queue in a task pool.