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首页> 外文期刊>Journal of Parallel and Distributed Computing >Contention-aware scheduling with task duplication
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Contention-aware scheduling with task duplication

机译:具有任务复制的竞争感知调度

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Finding an efficient schedule for a task graph on several processors is a trade-off between maximising concurrency and minimising interprocessor communication. Task duplication is a technique that has been employed to reduce or avoid interprocessor communication. Certain tasks are duplicated on several processors to produce the data locally and avoid the communication among processors. Most of the algorithms using task duplication have been proposed for the classic scheduling model, which allows concurrent communication and ignores contention for communication resources. It is increasingly recognised that this classic model is unrealistic and does not permit creating accurate and efficient schedules. The recently proposed contention model introduces contention awareness into task scheduling by assigning the edges of the task graph to the links of the communication network. It is intuitive that scheduling under such a model benefits even more from task duplication, yet no such algorithm has been proposed as it is not trivial to duplicate tasks under the contention model. This paper proposes a contention-aware task duplication scheduling algorithm. We investigate the fundamentals for task duplication in the contention model and propose an algorithm that is based on state-of-the-art techniques found in task duplication and contention-aware algorithms. An extensive experimental evaluation demonstrates the significant improvements to the speedup of the produced schedules.
机译:为多个处理器上的任务图找到有效的时间表是在最大化并发性和最小化处理器间通信之间的权衡。任务复制是一种用于减少或避免处理器间通信的技术。某些任务在多个处理器上重复执行,以在本地生成数据并避免处理器之间的通信。已针对经典调度模型提出了大多数使用任务复制的算法,该算法允许并发通信,而忽略了通信资源争用。人们越来越认识到,这种经典模型是不现实的,并且不允许创建准确而有效的时间表。最近提出的竞争模型通过将任务图的边缘分配给通信网络的链路,将竞争意识引入到任务调度中。直观地知道,在这样的模型下进行调度甚至可以从任务复制中受益,但是由于在竞争模型下复制任务并不容易,因此尚未提出这种算法。本文提出了一种竞争意识的任务复制调度算法。我们研究争用模型中任务复制的基础,并提出一种基于任务复制和争用感知算法中发现的最新技术的算法。广泛的实验评估表明,可以显着改善生产进度。

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