所有请求形状非连续子网格的二维多计算机分配策略

S. Bani-Mohammad
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引用次数: 0

摘要

连续子网格分配通常会受到处理器碎片的影响,因为它要求分配给作业请求的处理器应该是连续的,并且与连接这些处理器的网络具有相同的拓扑结构。在非连续分配中,大小和形状约束对系统性能的影响主要体现在作业周转时间和系统利用率等参数上。最近针对二维网格多计算机提出的非连续分配策略在原作业请求分配失败时改变了作业请求的方向,从而提高了系统性能。为了推广这种受限制的旋转,我们在本文中提出了一种新的二维网格多计算机非连续分配策略,称为所有请求形状贪婪可用繁忙列表(简称ARSGABL),它在尝试分配作业请求时考虑所有可能的请求形状。ARSGABL依赖于[20]中提出的不连续分配策略来选择分配子网格。在各种系统负载和不同作业规模下的大量模拟结果证实,就作业的平均周转时间而言,ARSGABL策略提高了系统性能。
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All request shapes non-contiguous submesh allocation strategy for 2D mesh multicomputer
Contiguous sub-mesh allocation usually suffers from the degrading effects of processor fragmentation as it requires that the processors that are allocated to a job request should be contiguous and have the same topology as the network connecting these processors. In non-contiguous allocation, the size and shape constraint affects on the system performance in terms of parameters such as job turnaround time and system utilization. Most recent non-contiguous allocation strategies suggested for 2D mesh multiconputers change the orientation of the job request when allocation fails for the original job request, and hence the system performance is improved. To generalize this restricted rotation, we propose in this paper, a new noncontiguous allocation strategy for 2D mesh multicomputers, referred to as All Request Shapes Greedy Available Busy List (ARSGABL for short), which considers all possible request shapes when attempting allocation for a job request. ARSGABL depends on the non-contiguous allocation strategy proposed in [20] for selecting an allocation sub-mesh. Results from extensive simulations under a variety of system loads and different job sizes confirm that the ARSGABL strategy improves system performance in terms of the average turnaround times of jobs.
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