ParallelUnbalancedWork for efficient unbalanced parallel loops #7787
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- Introduced the `ParallelUnbalancedWork` class to efficiently execute parallel loops over a range of integers, handling unbalanced workloads. - Added static `For` methods to support parallel execution with and without thread-local data, including initialization and finalization functions. - Utilized thread pooling and a shared counter (`SharedCounter`) to distribute iterations among threads dynamically. - Implemented internal classes (`BaseData`, `Data`, and `InitProcessor<TLocal>`) to manage shared state and thread synchronization. - Aimed to optimize performance in scenarios where the workload per iteration is uneven, ensuring better resource utilization and reduced execution time.
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Changes
ParallelUnbalancedWorkclass to efficiently execute parallel loops, handling unbalanced workloads.SharedCounterto distribute iterations among threads dynamically..Waiting for background threads to completeParallel.ForTypes of changes
What types of changes does your code introduce?
Testing
Requires testing