Race-Condition-Aware and Hardware-Oriented Task Partitioning and Scheduling Using Entropy Maximization.
IEEE Transactions on Parallel and Distributed Systems(2018)
摘要
In a multithreaded execution environment, race condition leads to computational errors and system hazards. Up to date, a series of task scheduling strategies have been presented in the literature to reduce the risk of race condition. Because of the increasing complexity of this problem in multi-core systems, existing task scheduling approaches are not very efficient. To deal with this challenge, i...
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关键词
Entropy,Scheduling algorithms,Uncertainty,Analytical models,Probabilistic logic
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