首页> 外文会议>Conjunction with Area 1994 Annual Technical Conference, 1994 ASME/IEEE Joint Railroad Conference, 1994, 1994 >A task scheduling algorithm to package messages on distributedmemory parallel machines
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A task scheduling algorithm to package messages on distributedmemory parallel machines

机译:一种任务调度算法,用于在分布式消息上打包消息内存并行机

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In this paper, we report a performance gap between a schedule withgood makespan on the task scheduling model and the correspondingparallel program on distributed memory parallel machines. The mainreason is the software overhead in the interprocessor communication.Therefore, speedup ratios of schedules on the model do not wellapproximate to those of parallel programs on the machines. The purposeof the paper is to get a task scheduling algorithm that generatesschedules with good approximation to the corresponding parallel program.For this purpose, we propose an algorithm BCSH that generates only bulksynchronous style schedules. In those schedules, computation phases andcommunication phases appear alternately. All interprocessorcommunications are done only in the latter phases, and thus thecorresponding parallel programs can make better use of the messagepackaging technique easily. It reduces some software overheads ofmessages from a source processor to the same destination processor toalmost one software overhead, and improves the performance of a parallelprogram significantly. Finally we show some results of performancecomparisons between BCSH and Kruatrachue's algorithm DSH. The schedulesby the latter are famous for their good makespans. However theapproximations of ours are much better than those of Kruatrachue's
机译:在本文中,我们报告了时间表与 在任务调度模型上的有效期和相应的 分布式内存并行机上的并行程序。主要的 原因是处理器间通信中的软件开销。 因此,模型上进度表的加速比不太理想 近似于机器上的并行程序。目的 本文的目的是获得一个任务调度算法,该算法可以生成 与相应的并行程序近似良好地调度。 为此,我们提出了一种仅生成大量内容的算法BCSH 同步样式时间表。在这些时间表,计算阶段和 交流阶段交替出现。所有处理器 交流仅在后期阶段进行,因此 相应的并行程序可以更好地利用消息 包装技术轻松。它减少了一些软件开销 从源处理器到同一目标处理器的消息,以 几乎一个软件开销,并提高了并行性能 显着地编程。最后,我们展示了一些性能结果 BCSH与Kruatrachue算法DSH的比较。时间表 后者因其良好的跨度而闻名。但是,那 我们的近似值比Kruatrachue的近似值好得多

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