Server-based scheduling of parallel real-time tasks
Proceedings of the tenth ACM international conference on Embedded software
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Work-stealing is the todays algorithm of choice for dynamic load-balancing of irregular parallel applications on multiprocessor systems. We have evaluated the algorithm’s efficiency on a variety of workloads, including scatter-gather workloads, which occur in common algorithms such as MapReduce. We have discovered that work-stealing scheduling suffers serious scalability problems with fine-grained parallelism because of contention over run-queues. We therefore propose a simple modification to the work-stealing algorithm that significantly improves its performance on scatter-gather workloads, without any negative impact on other types of workloads.