A scalable architecture for reprioritizing ordered parallelism
Gilead Posluns, Yan Zhu, Guowei Zhang, Mark C. Jeffrey · 2022
Many algorithms schedule their work, or tasks, according to a priority order for correctness or faster convergence. While priority schedulers commonly implement task enqueue and dequeueMin operations, some algorithms need a priority update operation that alters the scheduling metadata for a task. Prior software and hardware systems that support scheduling with priority updates compromise on either parallelism, work-efficiency, or both, leading to missed performance opportunities. Moreover, incorrectly navigating these compromises violates correctness in those algorithms that are not resilient to relaxing priority order.