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Divisible Load Scheduling in Systems with Limited Memory

机译:内存有限的系统中的可分割负载调度

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In this work we consider scheduling divisible loads on a distributed computing system with limited available memory. The communication delays and heterogeneity of the system are taken into account. The problem studied consists in finding such a distribution of the load that the communication and computation time is the shorted possible. A new robust method is proposed to solve the problem of finding optimal distribution of computations on star network, and networks in which bindomial trees can be embedded (meshes, hypercubes, multistage interconnections). We demonstrate that in many cases memory limitations do not restrict efficiency of parallel processing as much as computation and communication speeds.
机译:在这项工作中,我们考虑在可用内存有限的情况下在分布式计算系统上调度可分割的负载。考虑到系统的通信延迟和异构性。研究的问题在于找到这样一种负载分配,以至于可能缩短通信和计算时间。提出了一种新的鲁棒方法,以解决在星形网络以及可以嵌入二叉树的网络(网格,超立方体,多级互连)上找到计算的最佳分布的问题。我们证明,在许多情况下,内存限制并不像计算和通信速度那样限制并行处理的效率。

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